Abstract
Excessive emotional responses to stressful events can detrimentally affect psychological functioning and mental health. Recent studies have provided evidence that non-invasive brain stimulation (NBS) targeting the prefrontal cortex (PFC) can affect the regulation of stress-related emotional responses. However, the reliability and effect sizes have not been systematically analyzed. In the present study, we reviewed and meta-analyzed the effects of repetitive transcranial magnetic (rTMS) and transcranial direct current stimulation (tDCS) over the PFC on acute emotional stress reactivity in healthy individuals. Forty sham-controlled single-session rTMS and tDCS studies were included. Separate random effects models were performed to estimate the mean effect sizes of emotional reactivity. Twelve rTMS studies together showed no evidence that rTMS over the PFC influenced emotional reactivity. Twenty-six anodal tDCS studies yielded a weak beneficial effect on stress-related emotional reactivity (Hedges’ g = −0.16, CI95% = [−0.33, 0.00]). These findings suggest that a single session of NBS is insufficient to induce reliable, clinically significant effects but also provide preliminary evidence that specific NBS methods can affect emotional reactivity. This may motivate further research into augmenting the efficacy of NBS protocols on stress-related processes.
Keywords: stress, emotion, repetitive transcranial magnetic stimulation, transcranial direct current stimulation, review
Introduction
Stress is an integral part of life. It fundamentally serves to protect from danger and adapt to challenges. The adaptive stress response can, however, become detrimental when it is turned on too frequently or does not properly shut off (McEwen, 1998). Responses to stress include feelings of distress and negative emotions. Acute stress can impair executive functions (Shields et al., 2016) and adversely affect performance and decision-making, such as during surgeries (Arora et al., 2010; Chrouser et al., 2018), emergency service operations (Regehr and LeBlanc, 2017) and military operations (Orasanu and Backer, 1996; Harris et al., 2005). Moreover, chronically elevated emotional responses to stress increase long-term daily negative affect and the risk on developing affective disorders (McLaughlin et al., 2010; Charles et al., 2013; Swartz et al., 2015). Finding ways to modulate acute emotional responses to stress, also called emotional stress reactivity, is therefore relevant for daily functioning and wellbeing.
Emotional stress reactivity is associated with multiple brain regions, including the amygdala, hippocampus and frontal cortical areas. The prefrontal cortex (PFC) plays an important role in regulating acute stress responses on physiological, behavioral and affective levels (Radley et al., 2015). Within the PFC, the ventromedial part (VMPFC) contains the major structural prefrontal–amygdala connections (Kim et al., 2011) and modulates the hypothalamic–pituitary–adrenal (HPA) axis response to stress (Diorio et al., 1993). Higher activation of the VMPFC is associated with reduced amygdala activity, diminished experience of negative emotions and better fear extinction learning (Diekhof et al., 2011). The lateral parts of the PFC, the dorsolateral PFC (DLPFC) and the ventrolateral PFC (VLPFC) are associated with intentional or effortful emotion regulation by employing cognitive strategies, including (re)appraisal of emotional stimuli, response inhibition, attention regulation, and working memory (Phillips et al., 2003; Steele and Lawrie, 2004; Wager et al., 2008; Ochsner et al., 2012; Buhle et al., 2014; Kohn et al., 2014; Etkin et al., 2015; Morawetz et al., 2017; Langner et al., 2018). Yet, PFC structure and PFC functions are particularly vulnerable to the effects of acute and chronic stress (McEwen and Morrison, 2013; Arnsten, 2015; Radley et al., 2015; Shields et al., 2016). Moreover, stress and anxiety symptoms, characterized by exaggerated or context-inappropriate acute emotional response to stress, are clearly related to impaired PFC functioning (Bishop, 2007, 2009; Etkin and Wager, 2007; Basten et al., 2011; Sylvester et al., 2012; Grupe and Nitschke, 2013; Manber Ball et al., 2013; Zilverstand et al., 2017; Via et al., 2018). Enhancing the regulatory function of the PFC could thus improve appropriate downregulation of stress-related emotions.
In addition to targeting PFC functioning with pharmacological (see, e.g. Harmer et al., 2006; MacNamara et al., 2016) and psychological treatments (see e.g. Browning et al., 2010; Schweizer et al., 2013; Goldin et al., 2014; Carlisi and Robinson, 2018), non-invasive brain stimulation (NBS) may provide another means to modulate stress reactivity. Two widely used NBS techniques are repetitive transcranial magnetic (rTMS) and transcranial direct current stimulation (tDCS). With rTMS, magnetic pulses are delivered to the scalp that can increase or decrease neural excitability and shape synaptic plasticity in the underlying cortical areas. An increase in neural excitability is generally induced by high-frequency rTMS (pulse frequency ≥5 Hz), whereas a decrease in neural excitability is generally induced by low-frequency rTMS (pulse frequency 0.1–1 Hz) (Huang et al., 2005; Fitzgerald et al., 2006; Dayan et al., 2013; Wischnewski and Schutter, 2015; Cirillo et al., 2017). Theta burst stimulation (TBS) is a specific form of rTMS using trains of three 50 Hz pulses repeated every 200 ms. When delivery of these pulse trains is intermitted by 8-s pauses, neural excitability generally increases, while neural excitability generally decreases when the pulse trains are delivered continuously or prolonged (Gamboa et al., 2010; Huang et al., 2005). To control for placebo effects, active rTMS is compared to sham rTMS, where the rTMS coil is tilted or equipped with a magnetic shield to mimic the clicking sounds and, to some extent, the peripheral skin sensations without effective brain stimulation (Duecker and Sack, 2015). With tDCS, a weak electrical current (1–2.5 mA) is applied between two electrodes placed on the scalp that can change cortical excitability in a polarity-dependent fashion (Nitsche and Paulus, 2000). Anodal tDCS generally facilitates neural excitability and plasticity, while cathodal tDCS generally decreases neural excitability and plasticity (Liebetanz, 2002; Dayan et al., 2013; Cirillo et al., 2017). Active tDCS is commonly compared to sham tDCS, where the current is only ramped up and down at the beginning of the stimulation to mimic skin sensations without any effective stimulation of the brain (Ambrus et al., 2012). When applied to the PFC, both rTMS and tDCS effects also influence brain regions that are distal but connected to the stimulated region, including contralateral prefrontal areas and limbic regions such as the amygdala (Shafi et al., 2012). To illustrate the rTMS- and tDCS-induced electric field distributions over the cortical surface, Figure 1 depicts simulated images based on two examples of NBS montages that can be used for prefrontal NBS.
Fig. 1.

Example of simulated images of induced electric fields by an rTMS and a tDCS montage (SimNIBS 2.1, Thielscher et al., 2015). Note the difference in focality and magnitude of the electric fields induced by the two NBS techniques. The depicted rTMS-induced field simulation is based on a pulse with a current change of 40 A/μs, corresponding to 40% maximum stimulator output of a rapid rate stimulator, from a figure-of-eight double 70 mm coil placed over the 10–20 system electrode position F3 (left DLPFC). The depicted tDCS-induced field simulation is based on a direct current with an intensity of 2.0 mA flowing between a 5x7 cm anode and a 5x7 cm cathode, placed over electrode position F3 (left DLPFC) and Fp2, respectively.
Some evidence for the effectivity of rTMS and tDCS in modulating stress- and emotion-related processes comes from NBS interventions that have been carried out in the area of stress-related affective disorders. For example, applying rTMS over the DLPFC can reduce symptoms of depression (Schutter, 2010; Berlim et al., 2013, 2014; Gaynes et al., 2014), PTSD (Boggio et al., 2010; Berlim and Van den Eynde, 2014; Philip et al., 2016; Ahmadizadeh and Rezaei, 2018; Kozel et al., 2018), and possibly also generalized anxiety and panic disorder (Mantovani et al., 2013; Diefenbach et al., 2016; Dilkov et al., 2017; Assaf et al., 2018; Vicario et al., 2019). However, some studies showed no effects (Prasko et al., 2007; Deppermann et al., 2014), and uncertainties remain regarding the optimal rTMS settings, such as pulse frequency (Yan et al., 2017) and target region (Ahmadizadeh and Rezaei, 2018). Effects of tDCS on stress-related symptoms have to date been investigated to a lesser extent than rTMS. Nonetheless, there is evidence that anodal tDCS over the left DLPFC reduces depressive symptoms (Shiozawa et al., 2014). Moreover, two sham-controlled studies showed significantly reduced PTSD symptoms after interventions with bilateral tDCS over the DLPFC (Ahmadizadeh et al., 2019) or anodal tDCS over the VMPFC during trauma exposure (van‘t Wout-Frank et al., 2019). Further reports of tDCS effects on anxiety are summarized by Vicario et al. (2019).
Although these effects of NBS interventions on stress-related symptoms look promising, the evidence remains inconclusive and leaves unclear how NBS is influencing stress- and emotion-related processes. Therefore, NBS effects on underlying biological and cognitive mechanisms of stress and emotion have been further examined in many experimental studies in healthy volunteers that investigate how acute stress-related processes are affected directly after NBS. Such studies showed, for example, that a single session of prefrontal NBS does not directly change baseline mood in healthy individuals (Remue et al., 2016a). On the other hand, some prefrontal NBS methods, such as high-frequency rTMS and anodal tDCS to the DLPFC, influence cognitive processes that support the regulation of acute emotional stress reactions; applying these prefrontal NBS methods in a single session already enhances working memory performance (Preston et al., 2010; Brunoni et al., 2013; Bagherzadeh et al., 2016), may adjust attentional bias to threat (Zwanzger et al., 2009; Mondino et al., 2015) and can modulate identification and retrieval of emotional information, response inhibition and risky decision-making (Levasseur-Moreau and Fecteau, 2012; Nitsche et al., 2012; Balconi, 2013; Kuo and Nitsche, 2015; Mondino et al., 2015; Bell and DeWall, 2018). Furthermore, a recent meta-analysis showed that a single session of high-frequency rTMS and, to a lesser extent, anodal tDCS to the PFC attenuates activity of the autonomic nervous system (Makovac et al., 2017), which plays an important role in the acute physiological stress response.
Together, this suggests that prefrontal NBS could modulate how one responds to stress. Several NBS studies on emotional stress reactivity have already been performed, where NBS is applied either directly before or during a stress manipulation. Laboratory stress manipulations are typically used, such as exposing participants to aversive visual material like arousing pictures or movie clips with emotionally negative content. Because aversive stimulus viewing paradigms use symbolic representations of a stressor (e.g. pictures of mutilated bodies), these paradigms can be considered passive stress inductions. Other studies use psychosocial stress manipulations, such as the Trier social stress test (TSST) (Kirschbaum et al., 1993) or social exclusion in the Cyberball game (Williams et al., 2000). Aversive physical or auditory stimuli can also be used to induce stress, such as cold, heat or pain or electrical shocks and loud noises in fear-conditioning paradigms. All these laboratory stress manipulations increase feelings of unpleasantness and arousal and elicit immediate stress responses at the level of the sympathetic nervous system (Lang et al., 1993; Zadro et al., 2004; Bernat et al., 2006; Lipp, 2006; van Stegeren et al., 2008; Boyes and French, 2009; Gerdes et al., 2010; Sijtsema et al., 2011; Kelly et al., 2012; Maruyama et al., 2012; Allen et al., 2014; Storm et al., 2019). Stress responses at the level of the HPA axis can also be elicited, particularly by psychosocial stressors (Allen et al., 2014; Helpman et al., 2017), prolonged physical stressors (van Stegeren et al., 2008), cognitive challenge stressors (Dickerson and Kemeny, 2004) and, to some extent, negative mood inductions ( Ottowitz et al., 2004; Gadea et al., 2005; Root et al., 2009). Reactivity to these stressors can be assessed on different facets. Next to behavioral and physiological reactivity, the subjective experience of emotions represents another aspect of the stress response (Denson et al., 2009; Mauss and Robinson, 2009). Emotional experiences in response to these stress manipulations are usually measured by self-report on negative emotional state scales or questionnaires, assessed during or directly after the stress manipulation. Emotional reactivity can also be assessed by rating the perceived emotional content of aversive stimuli used in the stress manipulation (Lang et al., 1993). Such laboratory stressors and emotional measurements provide a controlled environment to assess the direct effects of NBS on subjective emotional stress reactivity.
Individual NBS studies on emotional reactivity may use diverse NBS techniques, diverse stress manipulations and diverse measurement methods. The findings across these different studies could collectively demonstrate the immediate effects of NBS on global emotional reactivity and thereby provide insights into the usefulness of a single session of NBS in modulating affective stress responses. Therefore, we assembled all measurements of self-reported emotional responses to stress after a single session of prefrontal NBS from previous studies. This systematic review aims to provide an interim overview and quantification of the effects of rTMS and tDCS studies with healthy participants. Since effectiveness of rTMS and tDCS may diverge (Brunoni and Vanderhasselt, 2014; Makovac et al., 2017) and pulse frequency or current polarity may determine the direction of effects, results of low- and high-frequency rTMS and of anodal and cathodal tDCS were considered separately. Where the sample size of studies in the analyses allowed, we additionally examined the quantitative influence of targeted hemisphere (left PFC vs right PFC) and type of stress (passive stress induction, psychosocial stress or physical or auditory stress).
Method
Literature search
The electronic databases MEDLINE, Web of Science Core Collection and Scopus were systematically searched for rTMS and tDCS studies assessing self-reported emotional state in response to a stress induction. We retrieved articles up to October 2019.
Our search contained the following terms: non-invasive brain/cortical stimulation, transcranial brain stimulation, transcranial electrical/direct current stimulation, repetitive transcranial magnetic stimulation, theta burst stimulation, stress/stressor, threat, fear, anxiety/anxious, emotion/emotional and aggression/aggressive. To concentrate on adult human studies, we added human, individuals, participants, subjects, men, women, NOT child and NOT infant. Because we focused on the PFC, we added prefrontal, frontal and PFC. The exact search terms per database are provided in Supplementary Material 1.
Literature review
The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Statement (Moher et al., 2015) and Cochrane Handbook (Higgins and Green, 2011) guided this quantitative review. First, two authors (FS and EG) independently reviewed titles and abstracts on suitability. Second, full text copies of the remaining articles were evaluated for inclusion, and study references were screened for further relevant articles. Discrepancies in judgement of eligibility were resolved by consensus (FS, EG and DS).
Eligibility criteria
Retrieved studies were selected if they fulfilled the following criteria:
(i) The report is published in a peer-reviewed journal.
(ii) The study design includes a control condition. Eligible control conditions are restricted to the commonly used methods to apply sham stimulation as described in the Introduction.
(iii) The study procedure includes a stress induction. A stress induction was defined as any adverse or demanding condition that exposes participants to physical, psychosocial, mental (cognitive) or emotional stress. Emotional stress involves stimuli inducing negative stress-related emotions such as fear, anxiety or anger. Studies with sadness-inducing manipulations were also included because they elicit responses that resemble other negative emotion inductions (e.g. fear) in terms of amygdala reactivity (Phan et al., 2002), sympathetic nervous system reactivity (Kreibig, 2010), HPA axis reactivity (Ottowitz et al., 2004; Gadea et al., 2005) and feelings of unpleasantness and arousal (Kreibig et al., 2007).
(iv) The study procedure includes the application of rTMS or tDCS over the PFC, with the aim to modulate the outcome measure.
(v) The study aims to test NBS effects on emotional responses to a stress induction.
(vi) The study reports data of subjective negative emotional state measured within the time frame of NBS (after) effects, in response to the stress induction. This involves all kinds of self-report measures of negative emotional reactivity, including experienced negative emotions and perceived emotional content of negative stimuli (i.e. stimulus ratings). Stimulus ratings differ from ratings of experienced emotions in terms of perspective or reference (stimulus ratings are ‘world-focused’ while emotional experience ratings are ‘self-focused’), but both ratings share features of emotional reactivity (Lang et al., 1993; Quigley et al., 2013).
(vii) The study participants are healthy adults (18–70 years of age).
(viii) The study report is written in English.
Data extraction and processing
To evaluate the effect of prefrontal NBS on emotional reactivity, we focused on outcomes of self-report scores of emotional state questions or questionnaires. Of studies that reported such emotional stress reactivity scores, we examined which NBS methods were applied, which prefrontal region and hemisphere was targeted, what type of stress was induced, which task or context was used in the experiment, which state or trait factors influenced the NBS effects, which NBS settings were applied (pulse/current intensity and quantity, sham condition; tDCS, location of reference electrode) and how and when the outcome was measured.
For additional quantitative analyses, mean scores of emotional reactivity and corresponding standard deviations for the active NBS and sham conditions were extracted from each paper, its Supplementary Materials or data provided by authors on request. If these data were presented in graphs, we extracted the numerical scores and corresponding standard deviations in Plot Digitizer (plotdigitizer.sourceforge.net). The emotional state scores assessed during or after NBS (final emotional state scores) were used as the outcome variable in our analyses. If final scores were not available, we used the change from baseline scores instead (n = 3), which theoretically addresses the same underlying effect as the final scores in randomized controlled studies (Higgins and Green, 2011). Higher scores corresponded to stronger negative emotion in most studies. If a reversed scale was used in the original study (i.e. higher scores corresponded to weaker emotion), group mean values were transformed to get in line with the other data by subtracting the original group mean values from the maximum score of the applied scale. Finally, Hedges’ g effect size (Hedges, 1981) was calculated for each separate experiment or outcome with the R package Metafor (Viechtbauer, 2012; R Core Team, 2019). The correction for overestimating effect sizes in small study samples was applied (Hedges and Olkin, 1985), resulting in a corrected Hedges’ g (also known as Hedges’ d). Negative effect sizes following from these computations indicate that active NBS lowered negative emotional stress reactivity relative to the sham condition.
We estimated the weighted mean effect sizes in separate random effects models for studies using (i) high-frequency rTMS and intermittent TBS protocols, (ii) low-frequency rTMS, prolonged intermittent TBS and continuous TBS protocols, (iii) anodal tDCS protocols, and (iv) cathodal tDCS protocols. The majority of studies reported more than one experiment or outcome of emotional reactivity. To be complete, we included all emotional reactivity outcomes from each study. We controlled for the dependence among effect sizes from the same study by applying robust variance estimation (RVE) (Hedges et al., 2010; Moeyaert et al., 2017) using the R package Robumeta (Fisher and Tipton, 2015), Metafor (Viechtbauer, 2012) and ClubSandwich (Pustejovsky, 2018). With RVE, a covariance matrix is estimated for correlated effects. Weighted mean effect sizes were also corrected for small samples of studies (Tipton, 2015). Second, we investigated if target hemisphere (left PFC vs right PFC) and type of stress induction (passive stress induction vs psychosocial stress vs aversive physical or auditory stress) influenced the effect of prefrontal NBS on emotional reactivity by adding these factors as categorical moderators to the model. The target hemisphere for tDCS was defined as the hemisphere that was the intended target of the original study, or, in case of a bipolar electrode montage, the hemisphere that was targeted by the anodal electrode. Moderator analyses were only carried out if each subgroup in the analysis contained data from at least four different studies.
Quality and risk of bias assessment
Methodological quality of each study was scored based on adequate reporting, external and internal validity and possible confounders, according to the study quality assessment tool for interventions in health care (Downs and Black, 1998). Additionally, risk of bias in the method and concealment of group allocation, blinding, selective outcome reporting and other sources of potential bias (e.g. conflicts of interest) were assessed according to the tool of Hartling et al. (2012). We assessed risk of publication bias by visually inspecting asymmetry in funnel plots of effect sizes against their standard errors for samples with at least 10 different studies. Funnel plot asymmetry was also formally tested by an Egger’s regression test.
Results
The systematic literature search yielded 419 studies (Figure 2). We added 10 studies identified from the references of the retrieved articles. After removing duplicate research, the titles and abstracts of 424 studies were screened for eligibility. Of these, 125 potentially relevant articles were selected for full text evaluation, including 50 studies that fulfilled the eligibility criteria. This final set contained 40 (80%) studies that reported or provided on request the numerical data of emotional state measures or emotional stimulus ratings, including 118 separate outcomes.
Fig. 2.

PRISMA flow diagram.
Study characteristics
All included studies were performed in healthy young individuals who were free from current psychiatric or neurological conditions. The majority of studies used mixed gender samples, except for seven exclusively female study samples and four exclusively male study samples. Other study details can be found in Tables 1 and 2. All stimulation-related changes in emotional stress reactivity discussed below are described in comparison with results from sham conditions.
Table 1.
Characteristics of included rTMS studies
| Reference | Design, sample size n(active) | n(control) | Coil position (localization method) | Stimulation frequency, quantity, intensity | Control condition | Timing stress induction; timing outcome measure | Task/stress induction | Outcome measure |
|---|---|---|---|---|---|---|---|
| HF-rTMS | |||||||
| Studies with passive stress induction | |||||||
| Möbius et al. (2017) | Within-subjects, 23 | ~ | Left DLPFC (F3, 10–20) | 10 Hz, 3000 pulses, 110% rMT | Coil tilted 45° | Stress induction: 5 min after stimulation; measure: immediately after stress induction | Watching sad movie clips | Sadness (Likert: 1–10), PANAS-negative affect |
| Berger et al. (2017) (I) | Within-subjects (females only), 20 | ~ | Right DLPFC (5 cm anterior to rMT region) | 10 Hz, 900 pulses, 110% rMT | Sham coil | Stress induction: 10 min after stimulation; measure: during stress induction | Watching negative IAPS pictures | Perceived picture arousal and valence (SAM: 1–9) |
| Jansen et al. (2019) | Between-subjects, 18 | 18 | Right DLPFC (neuronavigation to individual activation peak during emotion regulation) | 10 Hz, 3000 pulses, 110% rMT | Coil tilted 90° | Stress induction: directly after stimulation; measure: during stress induction | Watching negative IAPS pictures | Negative emotional experience (VAS: 0–100) |
| Studies with psychosocial stress | |||||||
| Baeken et al. (2014) | Within-subjects (females only), 31 | ~ | Left DLPFC (middle frontal gyrus, neuronavigation) | 20 Hz, 1560 pulses, 110% rMT | Coil tilted 90° | Stress induction: 5–10 min after stimulation; measure: immediately after stress induction | Mental counting task with bogus negative feedback | Anger and depression scales of POMS (VAS: 0–100) |
| Studies with aversive physical or auditory events | |||||||
| Guhn et al. (2014) | Between-subjects, 32 | 30 | Right VMPFC (NIRS channel 26) | 10 Hz, 1560 pulses, 110% rMT | Sham coil | Fear acquisition before stimulation, fear extinction after stimulation; measure: 5–10 min after stimulation, during fear extinction | Fear extinction learning with 95 dB aversive screams | Subjective arousal and valenceb in response to fear-conditioned stimulus (SAM: 1–9) |
| iTBS | |||||||
| Studies with passive stress induction | |||||||
| Notzon et al. (2018) | Between-subjects, 21 | 20 | Right DLPFC (F4, 10–20) | iTBS, 600 pulses, 80% rMT | Coil tilted 90° | Stress induction: 5–10 min after stimulation; measure: 5 min after stress induction | Watching fearful face pictures | Perceived picture arousal and valence (SAM: 1–9) |
| Studies with psychosocial stress | |||||||
| De Witte et al. (2020) | Within-subjects (females only), 38 | ~ | Left DLPFC (middle frontal gyrus, neuronavigation) | iTBS, 1620 pulses, 110% rMT | Sham coil | Stress induction: before stimulation; measure: immediately after stimulation | TSST | Anger and depression scales of POMS (VAS: 0–100) |
| LF-rTMS | |||||||
| Studies with passive stress induction | |||||||
| Zwanzger et al. (2014) | Between-subjects, 20 | 19 | Right DLPFC (5 cm anterior to rMT region) | 1 Hz, 1800 pulses, 120% rMT | Coil tilted 90° | Stress induction: 5–10 min after stimulation; measure: 5 min after stress induction | Watching fearful face pictures | Perceived picture arousal and valence (SAM: 1–9) |
| Berger et al. (2017) (II) | Within-subjects (females only), 20 | ~ | Right DLPFC (5 cm anterior to rMT region) | 1 Hz, 900 pulses, 110% rMT | Sham coil | Stress induction: 10 min after stimulation; measure: immediately after stress induction | Watching negative IAPS pictures | Perceived picture arousal and valence (SAM: 1–9) |
| Studies with psychosocial stress | |||||||
| Fitzgibbon et al. (2017) | Between-subjects, 16 | 13 | Left DLPFC (‘Beam F3’) | 1 Hz, 1200 pulses, 120% rMT | Coil tilted 90° | Stress induction: immediately after stimulation; measure: immediately after stress induction | Virtual ball-tossing game (Cyberball) with social exclusion manipulation | Aversive impact scale |
| Studies with aversive physical or auditory events | |||||||
| Zwanzger et al. (2007) | Within-subjects, 11 | ~ | Right DLPFC (5 cm anterior to rMT region) | 1 Hz, 1800 pulses, 120% rMT | Sham coil | Stress induction: immediately after stimulation; measure: immediately after stress induction | Panic attack induced by CCK-4 administration | Panic symptoms (API, PSS) |
| cTBS | |||||||
| Studies with passive stress induction | |||||||
| Keuper et al. (2018) | Between-subjects, 24 | 24 | Right DLPFC (F4, 10–20) | cTBS, 600 pulses, 80% rMT | Control site stimulation (Cz, 10–20) | Stress induction: immediately after stimulation; measure: 5–10 min after stress induction | Watching negative IAPS pictures | Perceived picture arousal and valence (VAS: 0–100) |
| Prolonged iTBS | |||||||
| Studies with passive stress induction | |||||||
| Hurlemann et al. (2015) (I) | Between-subjects (males only), 20 | 20a | Left DLPFC (middle frontal gyrus, neuronavigation) | iTBS, 1200 pulses, 80% rMT | Sham coil | Stress induction: immediately after stimulation; measure: immediately after stress induction | Watching negative IAPS pictures | Perceived picture arousal and valence (SAM: 1–9) |
| Hurlemann et al. (2015) (II) | Between-subjects (males only), 20 | 20a | Left DMPFC (superior frontal gyrus, neuronavigation) | iTBS, 1200 pulses, 80% rMT | Sham coil | Stress induction: immediately after stimulation; measure: immediately after stress induction | Watching negative IAPS pictures | Perceived picture arousal and valence (SAM: 1–9) |
aSamples used for multiple experiments within a study.
bMeasures that are not included in the meta-analysis due to insufficient available numerical data.
10–20 = 10–20 system for localizing scalp electrodes; API = acute panic inventory (Fyer et al., 2002); ‘Beam F3’ = freeware to determine location of DLPFC (Beam et al., 2009); Cyberball = Cyberball game (Williams et al., 2000); cTBS = continuous theta burst stimulation; iTBS = intermittent theta burst stimulation; IAPS = International Affective Picture System (Lang et al., 1997); Likert = Likert scale; MDMQ = Multidimensional Mood State Questionnaire (Steyer et al., 2004); NIRS = near infrared spectroscopy; PANAS = Positive and Negative Affect Schedule (Watson et al., 1988); PMFC = posterior medial frontal cortex; POMS = Profile of Mood States (McNair et al., 1971); PSS = Panic Symptom Scale (Argyle et al., 1991); rMT = resting motor threshold; SAM = Self-Assessment Manikin.
Table 2.
Characteristics of included tDCS studies
| Reference | Design, sample size n(active) | n(control) | Electrode positions (localization method) | Current intensity, anode + cathode size, quantity | Control condition | Timing stress induction; timing outcome measure | Task/stress induction | Outcome measure |
|---|---|---|---|---|---|---|---|
| A-tDCS | |||||||
| Studies with passive stress induction | |||||||
| Boggio et al. (2009) | Within-subjects, 23 | ~ | Left DLPFC (anode, F3; cathode, Fp2, 10–20) | 2 mA, 35 + 35 cm2, 5 min | Current ramped down after 30 s | Stress induction: during stimulation; measure: during stimulation | Watching pictures of human pain | Perceived picture valence and emotional discomfort (Likert: 1–9) |
| Peña-Gómez et al. (2011) (I) | Within-subjects (females only), 16 | ~ | Left DLPFC (anode, F3; cathode, C4, 10–20) | 1 mA, 35 + 35 cm2, 20 min | Current ramped down after 30 s | Stress induction: during stimulation; measure: during stimulation | Watching negative IAPS pictures | Perceived picture valence (Likert: 1–9) |
| Maeoka et al. (2012) | Within-subjects, 15 | ~ | Left DLPFC (anode, F3; cathode, Fp2, 10–20) | 1 mA, 35 + 35 cm2, 20 min | Current ramped down after 30 s | Stress induction: immediately after stimulation; measure: immediately after stress induction | Watching negative IAPS pictures | Perceived picture arousalb and valence (SAM: 1–9) |
| Brunoni et al. (2013) (I) | Within-subjects, 20 | ~a | Left DLPFC (anode, F3; cathode, F4, 10–20) | 1.5 mA, 35 + 35 cm2, 33 min | Current ramped down after 30 s | Stress induction: during stimulation; measure: during stimulation | Watching negative IAPS pictures | Negative mood and state anxiety (VAS: 0–100) |
| Brunoni et al. (2013) (II) | Within-subjects, 20 | ~a | Right DLPFC (anode, F4; cathode, F3, 10–20) | 1.5 mA, 35 + 35 cm2, 33 min | Current ramped down after 30 s | Stress induction: during stimulation; measure: during stimulation | Watching negative IAPS pictures | Negative mood and state anxiety (VAS: 0–100) |
| Feeser et al. (2014) | Between-subjects, 21 | 21 | Right DLPFC (anode, F4; cathode, Fp1, 10–20) | 1.5 mA, 35 + 100 cm2, 20 min | Current ramped down after 30 s | Stress induction: during stimulation; measure: during stimulation | Watching negative IAPS pictures, with and without downregulation instructions | Subjective arousal in response to pictures (Likert: 1–9), depressed mood (MDMQ) |
| Rêgo et al. (2015) (I) | Between-subjects, 8 | 8c | Left DLPFC (anode, F3; cathode, F4, 10–20) | 2 mA, 35 + 35 cm2, 15 min | Current ramped down after 30 s | Stress induction: during stimulation; measure: during and immediately after stimulation | Watching videos of human pain | Subjective arousal and valence in response to videos (SAM: 1–9), mood scales: alertb, confusedb, attentiveb, sad; hostile (VAS: 0–9) |
| Rêgo et al. (2015) (II) | Between-subjects, 8 | 8c | Right DLPFC (anode, F4; cathode, F3, 10–20) | 2 mA, 35 + 35 cm2, 15 min | Current ramped down after 30 s | Stress induction: during stimulation; measure: during and immediately after stimulation | Watching videos of human pain | Subjective arousal and valence in response to videos (SAM: 1–9), mood scales: alertb, confusedb, attentiveb, sad; hostile (VAS: 0–9) |
| Vierheilig et al. (2016) (I) | Between-subjects, 18 | 18c | Left DLPFC (anode, F3; cathode, F4, 10–20) | 1 mA, 35 + 35 cm2, 20 min | Current ramped down after 20 s | Stress induction: during stimulation; measure: immediately after stress induction | Watching negative IAPS mutilation pictures | Perceived picture valenceb and arousal (SAM: 1–9), PANAS-negative affect |
| Vierheilig et al. (2016) (II) | Between-subjects, 16 | 18c | Right DLPFC (anode, F4; cathode, F3, 10–20) | 1 mA, 35 + 35 cm2, 20 min | Current ramped down after 20 s | Stress induction: during stimulation; measure: immediately after stress induction | Watching negative IAPS mutilation pictures | Perceived picture valenceb and arousal (SAM: 1–9), PANAS-negative affect |
| Chen et al. (2017) | Between-subjects, 23 | 25 | Left DLPFC (anode, F3, 10–20; cathode, left neck) | 2 mA, 24 + 24 cm2, 20 min | Current ramped down after 60 s | Stress induction: immediately after stimulation; measure: immediately after stress induction | Watching real-life threat and neutral videos | STAI-6 |
| Voss et al. (2019) (I) | Between-subjects (females only), 40 | 40c | Left DLPFC (anode, F3, 10–20; cathode, right shoulder) | 1 mA, 35 + 35 cm2, 20 min | Current ramped down after 30 s | Stress induction: immediately after stimulation; measure: 10 min after stress induction | Watching sexual and physical abuse video | Subjective arousal and negative mood in response to videos (SAM: 1–9) |
| Marques et al. (2018) (I) | Between-subjects, 30 | 30c | Left DLPFC (anode, F3; cathode, F4, 10–20) | 1.5 mA, 16 + 16 cm2, 20 min | Current ramped down after 30 s | Stress induction: during stimulation; measure: during stimulation | Watching negative IAPS pictures, with and without downregulation instructions | Subjective valence and arousal in response to pictures (SAM: 1–9), PANAS-negative affectb |
| Marques et al. (2018) (II) | Between-subjects, 30 | 30c | Right DLPFC (anode, F4; cathode, F3, 10–20) | 1.5 mA, 16 + 16 cm2, 20 min | Current ramped down after 30 s | Stress induction: during stimulation; measure: during stimulation | Watching negative IAPS pictures, with and without downregulation instructions | Subjective valence and arousal in response to pictures (SAM: 1–9), PANAS-negative affectb |
| He et al. (2018) (I) | Between-subjects, 23 | 21 | Right VLPFC (anode, F6; cathode, Fp1, 10–20) | 2.5 mA, 25 + 25 cm2, 24 min | Current ramped down after 30 s | Stress induction: during stimulation; measure: during stimulation | Watching pictures of social exclusion, with and without downregulation instructions | Perceived negative emotion in picture (Likert: 1–9) |
| He et al. (2018) (II) | Between-subjects, 20 | 20 | Right VLPFC (anode, F6; cathode, Fp1, 10–20) | 2.5 mA, 25 + 25 cm2, 24 min | Current ramped down after 30 s | Stress induction: during stimulation; measure: during stimulation | Watching pictures of social exclusion, with and without downregulation instructions | Perceived negative emotion in picture (Likert: 1–9) |
| Marques et al. (2018) (III) | Between-subjects, 29 | 30d | Left VLPFC (anode, F7; cathode, F8, 10–20) | 1.5 mA, 16 + 16 cm2, 20 min | Current ramped down after 30 s | Stress induction: during stimulation; measure: during stimulation | Watching negative IAPS pictures, with and without downregulation instructions | Subjective valence and arousal in response to pictures (SAM: 1–9), PANAS-negative affectb |
| Marques et al. (2018) (IV) | Between-subjects, 30 | 30d | Right VLPFC (anode, F8; cathode, F7, 10–20) | 1.5 mA, 16 + 16 cm2, 20 min | Current ramped down after 30 s | Stress induction: during stimulation; measure: during stimulation | Watching negative IAPS pictures, with and without downregulation instructions | Subjective valence and arousal in response to pictures (SAM: 1–9), PANAS-negative affectb |
| Vergallito et al. (2018) | Between-subjects, 49 | 47 | Right VLPFC (anode, F6; cathode, Fp1, 10–20) | 1.5 mA, 25 + 35 cm2, 20 min | Current ramped down after 30 s | Stress induction: during stimulation; measure: during stimulation | Watching negative emotion inducing videos | Five negative emotion DES (Likert: 1–10) |
| Koenigs et al. (2009) (I) | Within-subjects, 21 | ~a | Bilateral VMPFC (anodes, Fp1 + Fp2, 10–20; cathode, non-dominant arm) | 2.5 mA, 25 + 25 cm2, 35 min | Current ramped down after 30 s | Stress induction: during stimulation; measure: during stimulation | Watching negative and positive IAPS pictures | Subjective arousal in response to pictures (Likert: 1–7), anger and depression scales of POMS (Likert: 1–5) (change score relative to baseline) |
| Abend et al. (2018) | Within-subjects, 16 | ~ | VMPFC (anode, above nasion; cathode, beneath inion) | 1.5 mA, 35 + 35 cm2, 20 min | Current ramped down after 30 s | Stress induction: during stimulation; measure: during and after stimulation | Watching frightening or violent videos | Subjective emotion intensity (Likert: 1–4), anxiety (VAS: 0–30) |
| Studies with psychosocial stress | |||||||
| Hortensius et al. (2012) (I) | Between-subjects, 21 | 19c | Left DLPFC (anode, F3; cathode, F4, 10–20) | 2 mA, 35 + 35 cm2, 15 min | Current ramped down after 40 s | Stress induction: before stimulation; measure: 5–10 min after stimulation | Essay writing with negative social feedback | Anger (Likert: 1–5) (change score relative to baseline) |
| Hortensius et al. (2012) (II) | Between-subjects, 20 | 19c | Right DLPFC (anode, F4; cathode, F3, 10–20) | 2 mA, 35 + 35 cm2, 15 min | Current ramped down after 40 s | Stress induction: before stimulation; measure: 5–10 min after stimulation | Essay writing with negative social feedback | Anger (Likert: 1–5) (change score relative to baseline) |
| Riva et al. (2012) | Between-subjects, 19 | 19 | Right VLPFC (anode, F8; cathode, Fp1, 10–20) | 1.5 mA, 25 + 35 cm2, 15 min | Current ramped down after 15 s | Stress induction: during stimulation; measure: immediately after stress induction | Virtual ball-tossing game (Cyberball) with social exclusion manipulation | Unpleasantness (Likert: 1–10) |
| Kelley et al. (2015) (I) | Between-subjects, 14 | 16c | Left DLPFC (anode, F3; cathode, F4, 10–20) | 2 mA, 35 + 35 cm2, 15 min | Current ramped down after 30 s | Stress induction: during stimulation; measure: immediately after stress induction | Virtual ball-tossing game (Cyberball) with social exclusion manipulation | Jealousy (Likert: 1–9) |
| Kelley et al. (2015) (II) | Between-subjects, 15 | 16c | Right DLPFC (anode, F4; cathode, F3, 10–20) | 2 mA, 35 + 35 cm2, 15 min | Current ramped down after 30 s | Stress induction: during stimulation; measure: immediately after stress induction | Virtual ball-tossing game (Cyberball) with social exclusion manipulation | Jealousy (Likert: 1–9) |
| Plewnia et al. (2015) | Between-subjects (males only), 14 | 14 | Left DLPFC (anode, F3, 10–20; cathode, right shoulder) | 1 mA, 35 + 35 cm2, 20 min | Current ramped down after 30 s | Stress induction: 5 min after stimulation + 20 min after stimulation; measure: immediately after second stress induction | Frustrating mental counting task (PASAT) | PANAS-negative affect |
| Bogdanov and Schwabe (2016) (I) | Between-subjects, 20 | 20c | Right DLPFC (anode, F4; cathode, Cz, 10–20) | 1.075 mA, 25 + 100 cm2, 6–10 min | Current ramped down after 13 s | Stress induction: 20 min before stimulation; measure: immediately after stimulation | TSST | Depressed mood (MDMQ) |
| Baeken et al. (2018) | Within-subjects (females only), 28 | ~ | Left DLPFC (anode, middle frontal gyrus, neuronavigation; cathode, Fp2, 10–20) | 1.5 mA, 25 + 25 cm2, 20 min | Current ramped down after 30 s | Stress induction: 5 min after stimulation; measure: immediately after stress induction | Hearing verbal criticism | Anger and depression scales of POMS (VAS: 0–100) |
| Carnevali et al. (2019) | Between-subjects (males only), 15 | 15 | Left DLPFC (anode, F3, 10–20; cathode, F4) | 2 mA, 35 + 35 cm2, 15 min | Current ramped down after 30 s | Stress induction: during stimulation; measure: 30 min after stress induction | Stressful interview and arithmetic task | STAI-state |
| Antal et al. (2014) (I) | Between-subjects (males only), 20 | 20c | Right VMPFC (anode, between F2-Fpz; cathode, between O2-P4, 10–20) | 1 mA, 35 + 35 cm2, 20 min | Current ramped down after 30 s | Stress induction: immediately after stimulation; measure: immediately after stress induction | TSST | STAI-state (change score relative to baseline) |
| Studies with aversive physical or auditory events | |||||||
| Deldar et al. (2018) | Within-subjects, 20 | ~ | Left DLPFC (anode, F3, 10–20; cathode, right shoulder) | 2 mA, 35 + 35 cm2, 22 min | Current ramped down after 46 s | Stress induction: during stimulation; measure: during stimulation | Pain by electrical stimulation with and without concurrent cognitive (working memory) task | State anxiety (NRS: 0–100) |
| Herrmann et al. (2018) | Between-subjects, 31 | 49 | Right VLPFC (anode, 1.5 cm posterior to F6; cathode, 1.5 cm from Fp1 towards Fpz, 10–20) | 2 mA, 35 + 35 cm2, 20 min | Current ramped down after 20 s | Stress induction: during stimulation; measure: immediately after stress induction | Sustained threat paradigm with 98 dB aversive screams | Subjective valence, arousal and anxiety in response to threat-associated stimulus (Likert: 1–9), STAI-state, PANAS-negative affect |
| Abend et al. (2016) | Between-subjects, 15 | 14 | VMPFC (anode, above nasion; cathode, beneath inion) | 1.5 mA, 35 + 35 cm2, 20 min | Current ramped down after 30 s | Fear acquisition before stimulation, fear extinction during stimulation; measure: immediately after extinction | Fear extinction learning after conditioning with 80 dB aversive screams | Conditioned stimulus fear (Likert: 1–10) |
| Dittert et al. (2018) (I) | Between-subjects, 40 | 27 | Right VMPFC (anode, beneath F8; cathode, beneath F7, 10–20) | 1.5 mA, 16 + 16 cm2, 20 min | Current ramped down after 60 s | Fear acquisition before stimulation, fear extinction during stimulation; measure: during stimulation, during extinction | Fear extinction learning after conditioning with 95 dB aversive screams | STAI-state, PANAS-negative affect, subjective valenceb and arousalb in response to fear-conditioned stimulus (Likert: 1–9) |
| Dittert et al. (2018) (II) | Between-subjects, 37 | 26 | Left VMPFC (anode, beneath F7; cathode, beneath F8, 10–20) | 1.5 mA, 16 + 16 cm2, 20 min | Current ramped down after 60 s | Fear acquisition before stimulation, fear extinction during stimulation; measure: during stimulation, during extinction | Fear extinction learning after conditioning with 95 dB aversive screams | STAI-state, PANAS-negative affect, subjective valenceb and arousalb in response to fear-conditioned stimulus (Likert: 1–9) |
| C-tDCS | |||||||
| Studies with passive stress induction | |||||||
| Peña-Gómez et al. (2011) (II) | Within-subjects (females only), 9 | ~ | Left DLPFC (cathode, F3; anode, C4, 10–20) | 1 mA, 35 + 35 cm2, 20 min | Current ramped down after 30 s | Stress induction: during stimulation; measure: during stimulation | Watching negative IAPS pictures | Perceived picture valence (Likert: 1–9) |
| Voss et al. (2019) (II) | Between-subjects (females only), 38 | 40c | Left DLPFC (cathode, F3, 10–20; anode, right shoulder) | 1 mA, 35 + 35 cm2, 20 min | Current ramped down after 30 s | Stress induction: immediately after stimulation; measure: 10 min after stress induction | Watching sexual and physical abuse video | Subjective arousal and negative mood in response to videos (SAM: 1–9) |
| Koenigs et al. (2009) (II) | Within-subjects, 21 | ~a | Bilateral VMPFC (cathodes, Fp1 + Fp2, 10–20; anode, non-dominant arm) | 2.5 mA, 25 + 25 + 25 cm2, 35 min | Current ramped down after 30 s | Stress induction: during stimulation; measure: during stimulation | Watching negative and positive IAPS pictures | Subjective arousal in response to pictures (Likert: 1–7), anger and depression scales of POMS (Likert: 1–5) (change score relative to baseline) |
| Studies with psychosocial stress | |||||||
| Riva et al. (2015) | Between-subjects, 20 | 20 | Right VLPFC (cathode, F6; anode, Fp1, 10–20) | 1.5 mA, 25 + 35 cm2, 20 min | Current ramped down after 15 s | Stress induction: during stimulation; measure: immediately after stress induction | Virtual ball-tossing game (Cyberball) with social exclusion manipulation | Negative emotions (Likert: 1–10) |
| Bogdanov and Schwabe (2016) (II) | Between-subjects, 20 | 20c | Right DLPFC (cathode, F4; anode, Cz, 10–20) | 1.075 mA, 25 + 100 cm2, 6–10 min | Current ramped down after 13 s | Stress induction: 20 min before stimulation; measure: immediately after stimulation | TSST | Depressed mood (MDMQ) |
| Antal et al. (2014) (II) | Between-subjects (males only), 20 | 20c | Right VMPFC (cathode, between F2-Fpz; anode, between O2-P4, 10–20) | 1 mA, 35 + 35 cm2, 20 min | Current ramped down after 30 s | Stress induction: immediately after stimulation; measure: immediately after stress induction | TSST | STAI-state (change score relative to baseline) |
| Studies with aversive physical or auditory events | |||||||
| Ganho-Ávila et al. (2019) | Between-subjects (females only), 27 | 16 | Right DLPFC (cathode, F4; anode, left shoulder, 10–20) | 1 mA, 24.75 + 24.75 cm2, 20 min | Current ramped down after 30 s | Stress induction: fear acquisition 24 h before stimulation, fear reinstatement immediately before stimulation; measure: immediately after stimulation, before and after fear extinction learning. | Fear-conditioning and extinction learning with 95 dB aversive screams | Subjective valence and arousal in response to fear-conditioned stimulus (Likert: 1–9) |
aSamples used for multiple experiments within a study.
bMeasures that are not included in the meta-analysis due to insufficient available numerical data.
c,dActive stimulation conditions that are compared to the same placebo group. 10–20 = 10–20 system for localizing scalp electrodes; A-tDCS = anodal tDCS: tDCS with the anode placed over the target brain region; C-tDCS = cathodal tDCS: tDCS with the cathode placed over the target brain region; Cyberball = a virtual ball-toss game used to study social exclusion (Williams et al., 2000); DES = Differential Emotions Scale (Schaefer et al., 2010); IAPS = International Affective Picture System (Lang et al., 1997); Likert = Likert scale; MDMQ = Multidimensional Mood State Questionnaire (Steyer et al., 2004); NRS = Numerical Rating Scale; PANAS = Positive and Negative Affect Schedule (Watson et al., 1988); PASAT = Paced Auditory Serial Addition Test (Lejuez et al., 2003); POMS = Profile of Mood States (McNair et al., 1971); SAM = Self-Assessment Manikin; STAI = State and Trait Anxiety Inventory (Spielberger et al., 1970), STAI-6 is the 6-item short form of the STAI-State; VAS = visual analogue scale.
rTMS
High-frequency rTMS and intermittent TBS
We identified 5 high-frequency rTMS studies and 2 intermittent TBS studies that reported in total 12 different outcomes on emotional stress reactivity. The majority of these studies focused on the DLPFC. Two studies found no effect of 20 Hz rTMS or intermittent TBS over the left DLPFC on emotional responses to psychosocial stress (Baeken et al., 2014; De Witte et al., 2020), and two other studies found no effect of 10 Hz rTMS over the right DLPFC on ratings of perceived emotional content (Berger et al., 2017) or experienced negative emotion (Jansen et al., 2019) in response to aversive pictures. Two studies did find a significant effect of NBS over the DLPFC on emotional stress reactivity. Notzon et al. (2018), who targeted the right DLPFC, found a decrease in perceived negative valence and arousal of fearful face pictures after intermittent TBS. Möbius et al. (2017), who instead targeted the left DLPFC, found an increase in experienced sadness after watching sad movie clips following 10 Hz rTMS. Please note that, different from the other stress manipulations, this stress manipulation is limited to inducing sadness. The VMPFC was targeted in one study with 10 Hz rTMS (Guhn et al., 2014) which effectively reduced emotional responses to fear-conditioned stimuli during extinction learning. For further details on stimulation parameters, type of stress and experimental context of each study (Table 1).
The data from this sample of studies (k = 7, n = 251) showed moderate heterogeneity (I2 = 49.0%), and the summary analysis estimated a weighted mean effect of g = −0.06, CI95% = [−0.35, 0.24], P = 0.70. Based on these few studies, this analysis showed no significant main effect, and the low statistical power prevented further analysis of potential moderators.
Low-frequency rTMS, prolonged intermittent TBS and continuous TBS
We identified 4 low-frequency rTMS studies, 1 continuous TBS study and 1 prolonged intermittent TBS study that reported in total 14 different outcomes on emotional stress reactivity. All these studies focused on the DLPFC (see Table 1 for further study details). Three of the low-frequency rTMS studies targeting the right or left DLPFC found no effect on perceived emotional content of negative pictures or on biologically induced panic (Zwanzger et al., 2007, 2014; Berger et al., 2017). The fourth low-frequency rTMS study (Fitzgibbon et al., 2017) also showed no group-level differences, but did find a link between a higher aversive impact of social exclusion in the Cyberball game and higher trait personal distress after active 1 Hz rTMS to the left DLPFC, but not after sham rTMS. The authors interpret this finding in terms of brain-state dependency of rTMS effects; rTMS may have amplified emotional reactivity only in those who are more sensitive to interpersonal stress.
Of the two studies using continuous or prolonged intermittent TBS, Hurlemann et al. (2015) found no effects of left DLPFC or left DMPFC stimulation on perceived emotional content of negative stimuli, while Keuper et al. (2018) showed that participants perceived negative pictures as less negative and less arousing after continuous TBS to the right DLPFC.
Together, the data from these studies (k = 6, n = 207) showed low heterogeneity (I2 = 14.3%). The summary analysis estimated a weighted mean effect of g = −0.13, (CI95% = [−0.42, 0.16], P = 0.39). Also here, the low number of studies in this sample did not allow further moderator analyses.
tDCS
Anodal tDCS
We identified 26 anodal tDCS studies that reported in total 79 different outcomes on emotional stress reactivity (see Table 2 for study details). Of the studies focusing on the DLPFC, six studies targeting the left DLPFC (Brunoni et al., 2013; Vierheilig et al., 2016; Baeken et al., 2018; Deldar et al., 2018; Voss et al., 2019) or right DLPFC (Brunoni et al., 2013; Bogdanov and Schwabe, 2016; Vierheilig et al., 2016) found no tDCS effects on emotional stress reactivity. This number includes the study of Baeken et al. (2018) who additionally reported no relationship between a measure of psychosocial stress sensitivity and psychosocial stress reactivity on the level of emotional experience (Dedoncker et al., 2019). In contrast, six other studies targeting the left DLPFC (Boggio et al., 2009; Peña-Gómez et al., 2011; Maeoka et al., 2012; Rêgo et al., 2015; Carnevali et al., 2019) or right DLPFC (Rêgo et al., 2015) did find a significant decline in emotional stress reactivity after tDCS or at least in a subset of emotional outcomes (Plewnia et al., 2015). Hence, in half of the studies targeting the DLPFC, anodal tDCS lowered emotional stress reactivity, while the other half of the studies showed no significant effects on similar outcomes. Focusing on the VLPFC, one study found no effect of anodal tDCS to the right VLPFC on emotional responses to threat of shock (Herrmann et al., 2018), while two studies of anodal tDCS to the same region found significantly weaker negative emotional experience in response to psychosocial stress or aversive pictures (Riva et al., 2012; Vergallito et al., 2018). The VMPFC was targeted in three studies, of which two showed no tDCS effects on experienced emotions after psychosocial stress or watching aversive pictures (Koenigs et al., 2009; Antal et al., 2014). The third study did find support for tDCS being able to significantly reduce emotional experience in response to aversive pictures (Abend et al., 2018). Furthermore, a number of studies found interesting indirect anodal tDCS effects on emotional reactivity. Three studies showed that anodal tDCS only reduced emotional reactivity when participants actively downregulated their emotions, but not when participants maintained their natural emotional responses (Feeser et al., 2014; He et al., 2018; Marques et al., 2018). The first two studies showed these effects after placing the anode over the right DLFPC or right VLPFC (Feeser et al., 2014; He et al., 2018), but the third study (Marques et al., 2018) only found significant effects after anodal stimulation of the left VLPFC with the cathode placed on the contralateral VLPFC, but not with the reversed montage or when the bilateral montage was placed over the DLPFC. In addition, Chen et al. (2017) showed that anodal tDCS to the left DLPFC reduced attention bias towards threat videos, which was, in turn, associated with less emotional reactivity to these videos.
With regard to location of the reference electrode, the above described studies did not show a clear influence of cathode location on the effect of anodal stimulation (see Table 2 for cathode locations per study). Yet, a number of studies do show different effects of tDCS with different montages. For example, Dittert et al. (2018) found that bilateral VMPFC stimulation with the anode over the left VMPFC, but not the reversed montage, enhanced fear extinction learning, i.e. reduced fear for the conditioned stimulus when the unconditioned threat stimulus (aversive loud scream) was no longer presented. In contrast, Abend et al. (2016), who stimulated the VMPFC by placing the anode over the forehead and the cathode on the back of the head, found that tDCS inhibited fear extinction learning. Hortensius et al. (2012), who found no group-level differences in anger after negative social feedback, showed that a correlation between increased anger and more aggressive behavioral responses only appeared after bilateral DLPFC stimulation with the anode over the left DLPFC, but not after stimulation with the reversed montage. Similarly, Kelley et al. (2015) found that bilateral DLPFC stimulation with the anode over the left DLPFC, but not with the anode over the right DLPFC, increased jealousy after social exclusion in the Cyberball game.
Together, the data from these studies (k = 26, n = 1284) showed moderate heterogeneity (I2 = 48.59%). The full random effects model showed a statistically significant weighted mean effect size of g = −0.16, CI95% = [−0.33, 0.00], P = 0.05 (Figure 3), indicating that anodal tDCS lowers emotional stress reactivity compared to sham tDCS. This effect was not significantly moderated by type of stress (Q(3) = 5.56, P = 0.14). The moderation of the effect by target hemisphere approached significance (Q(2) = 4.95, P = 0.08). Follow-up analyses showed a very small numerical difference between left- and right-sided effect sizes. Separate effects of left- and right-sided prefrontal tDCS were not statistically significant (right PFC: g = −0.23, CI95% = [−0.48, 0.03], P = 0.08); left PFC: g = −0.17, CI95% = [−0.41, 0.07], P = 0.16). The funnel plot of all anodal tDCS effects together did not show significant asymmetry (see Figure 4, Egger’s regression test: t(77) = −0.02, P = 0.99).
Fig. 3.

Forest plot of the separate outcomes of anodal tDCS studies. The figure additionally depicts for each study the sample sizes of active tDCS and sham tDCS conditions (sham sample size is left blank for crossover studies), the target area for anodal stimulation, the type of stress induction in the experiment and the outcome measure.
Fig. 4.

Funnel plot of anodal tDCS studies. Note: because two studies reported many separate outcomes (Marques et al., 2018; Rêgo et al., 2015), the standard errors of their effects were increased by the RVE correction. These effects therefore appear at the bottom of the plot.
Cathodal tDCS
We identified 7 cathodal tDCS studies that reported in total 13 different outcomes on emotional stress reactivity. Six of these studies found no effect on emotional reactivity to negative pictures or videos or to psychosocial stress after cathodal tDCS applied over the left or right DLPFC, the right VLPFC or the VMPFC (see Table 2 for other experimental settings) (Koenigs et al., 2009; Peña-Gómez et al., 2011; Antal et al., 2014; Bogdanov and Schwabe, 2016; Ganho-Ávila et al., 2019; Voss et al., 2019). Only Riva et al. (2015), who applied cathodal tDCS over the right VLPFC and placed the anode over the contralateral orbitofrontal area, showed a significant amplification of emotional reactivity to social exclusion in a Cyberball game, which was not found when the cathode was placed over the parietal cortex.
Together, the data from these studies (k = 7, n = 271) showed moderate heterogeneity (I2 = 43.9%), and the summary analysis estimated a mean effect of g = −0.02, CI95% = [−0.22, 0.28], P = 0.90. As with the rTMS analyses, the low number of studies in this sample did not allow further quantitative analyses.
Quality and risk of bias
Figure 5 presents a graphical overview of methodological quality and risk of bias in the included studies. A common methodological weakness was incomplete reporting of experimental methods or results. Risk of bias in the included studies was strongest with regard to blinding: whether study personnel were blind to stimulation condition was often unclear, especially in rTMS studies where blinding procedures are more challenging than for tDCS. Additionally, although participants were typically randomized to conditions, many studies did not specify how the randomization sequence was generated, how groups were matched and if group allocation was concealed for study personnel, leaving it unclear if these studies dealt adequately with group-related confounders.
Fig. 5.

Methodological quality and risk of bias of the included studies.
Discussion
Ongoing research efforts are dedicated to establish and understand NBS effects on stress-related processes. Experimental evidence is often derived from direct effects of single NBS sessions on acute stress. However, it has not been systematically analyzed if and how single sessions of prefrontal NBS affect stress reactivity on the level of subjective emotion in a normal-functioning stress system. We therefore systematically reviewed and quantified the immediate effects of prefrontal NBS on emotional stress reactivity in 40 sham-controlled healthy participant single-session NBS studies, including 12 rTMS studies and 28 tDCS studies.
The data from these studies show that the effects of a single session of prefrontal NBS may not be strong and stable enough to induce clinically relevant effects on emotional stress reactivity in all healthy individuals. On the other hand, some methods show promising effects that are worth further investigation. Acute effects of rTMS on emotional reactivity were investigated by relatively few studies, which showed effects in different directions. Acute effects of tDCS were more widely investigated, and quantitative results showed that applying anodal tDCS over the PFC overall slightly reduced negative stress-related emotions. However, effectivity of anodal tDCS varied between studies. Follow-up analyses suggested that the overall effect of anodal tDCS did not significantly depend on targeted hemisphere (left or right PFC) or on the type of stress that was induced (passive stress induction, psychosocial stress or aversive physical or auditory events). Several findings do suggest dependence of NBS effectivity on a number of other experimental and personal factors, including the NBS settings and the participant’s psychological state.
In another review on prefrontal NBS, Remue et al. (2016a) concluded that a single session of prefrontal NBS does not affect mood. The present results, however, give an indication that a single session of prefrontal NBS may be able to modulate negative emotional state in response to stress, at least when using anodal tDCS. This suggests that prefrontal NBS could affect the emotional response to a threat or challenge rather than affecting emotional state by itself. Hence, prefrontal NBS may modify processes that are involved in changing the emotional state, rather than directly affecting ‘static’ emotional experience. Prefrontal NBS effects on emotional reactivity could be a result of effects on processes involved in emotion regulation. This is supported by a number of studies showing that anodal tDCS over the PFC mainly facilitates the cognitive modulation of emotions. For example, when participants were instructed to up- or downregulate emotional experience, anodal tDCS enhanced or reduced emotional reactions specifically in the instructed direction (Feeser et al., 2014; He et al., 2018; Marques et al., 2018). In addition, tDCS may primarily affect attentional processes associated with the emotional experience (Chen et al., 2017). Such results fit in with the previously proposed idea that prefrontal NBS modulates affective symptoms by improving the ability to self-regulate emotions through enhanced working memory and other cognitive control processes (Schmeichel et al., 2008; Downar et al., 2016; Lantrip et al., 2017). However, this NBS effect on emotion regulation is not always found in single-session NBS studies (see, e.g. the study of Jansen et al., 2019). Conclusions about the effect of NBS on emotion regulation are beyond the scope of the present results, and this hypothesis should be further tested in future studies.
Of the NBS techniques considered in the present article, rTMS and tDCS, it is relatively unexpected that rTMS shows the most uncertain effects. rTMS and tDCS differ in their primary neurophysiological effects, focality and other factors (Dayan et al., 2013; Valero-Cabré et al., 2017). Clinical effects in affective disorders such as depression are more established for rTMS (Schutter, 2010; Berlim et al., 2013) than for tDCS (Shiozawa et al., 2014), and effects on physiological stress reactivity are higher for prefrontal rTMS than for prefrontal tDCS (Makovac et al., 2017). However, fewer rTMS studies than tDCS studies on emotional stress reactivity were available for the present analyses. Many single-session rTMS studies were not eligible for the current analyses because no experimental stress induction was applied or because emotions were not measured within the time frame of acute rTMS effects. Of the rTMS studies that did measure emotional reactivity, some findings suggest that the acute outcome of rTMS depends on task instructions, rTMS settings or psychological state (Fitzgibbon et al., 2017; Möbius et al., 2017; Notzon et al., 2018). Other rTMS studies did not report any significant effects of a single rTMS session. Lack of acute rTMS effects on emotional reactivity may also be related to timing; tDCS studies often induced the stress or measured the emotional outcome during stimulation, whereas in rTMS studies these procedures usually take place after the stimulation is finished. Moreover, although the research objectives overlapped among the rTMS studies, the number of studies that used the same rTMS methods was limited. The heterogeneity in applied rTMS methods raises an issue concerning the aggregation of their results. The present results should therefore be considered as work in progress and indicative for the dependence of rTMS effects on various technical, contextual and task-related factors. The influence of such factors should be further investigated before drawing definitive conclusions about the overall effectiveness of rTMS in modulating emotional stress reactivity. On the other hand, the present results also suggest that anodal tDCS might complement rTMS as a technique to modulate stress-related processes. If rTMS and tDCS would eventually yield comparable results in clinical applications, tDCS might be preferred over rTMS for its easier use, portability and lower costs (Priori et al., 2009; Valero-Cabré et al., 2017).
The evidence for cathodal tDCS effects on subjective stress-related emotions is sparse. Perhaps, cathodal tDCS has low effectivity in general. Little support for significant effects of cathodal tDCS is in line with previous findings of tDCS effects on neural excitability (Lafon et al., 2017) and on cognitive functions (Jacobson et al., 2012). Yet, cathodal tDCS may affect neural excitability and plasticity in opposing ways depending on current intensity and stimulation time (Mosayebi Samani et al., 2019). To provide clearer insight in cathodal tDCS, it could be interesting to investigate how these stimulation settings may moderate stimulation effects on emotion- and stress-related processes.
With regard to the optimal target hemisphere for prefrontal NBS, previous research showed that left-sided and right-sided PFC stimulation can have different effects on brain networks involved in emotion regulation and emotional state (Schutter et al., 2001; Jansen et al., 2017), but our results did not demonstrate a clear influence of target hemisphere (left PFC vs right PFC) on NBS effects at the level of emotional stress reactivity. This is somewhat surprising, since NBS should modulate neural activity primarily in the target hemisphere, and the data in this review were restricted to negative emotional states that have been associated with asymmetric prefrontal activation. Negative and predominantly withdrawal-related emotions, such as fear, nervousness and sadness, are associated with greater right- than left-sided PFC activity (Davidson, 1992; Wheeler et al., 2007; Goodman et al., 2013; Berkman et al., 2014; Harmon-Jones and Gable, 2018). In addition, greater right-sided PFC activity has been linked to stronger physiological reactivity to stress (Sullivan and Gratton, 2002; Koslov et al., 2011; Goodman et al., 2013; Quaedflieg et al., 2015; Zhang et al., 2018), anxiety and depression (Thibodeau et al., 2006; Eidelman-Rothman et al., 2016; Harmon-Jones and Gable, 2018). Greater left-sided PFC activity, on the other hand, is linked to stronger approach-related emotional reactions such as enthusiasm (Carletti et al., 2009; Koslov et al., 2011; Harmon-Jones and Gable, 2018), weaker physiological reactivity to stress (Goodman et al., 2013) and reduced emotional reactivity to PTSD symptom provocation (Meyer et al., 2018). However, greater relative left-sided PFC activity has also been associated with stronger feelings of anger and stronger aggressive responses to stress (Verona et al., 2009; Hofman and Schutter, 2012; Harmon-Jones and Gable, 2018). In line with this latter effect of left-sided prefrontal dominance, the tDCS studies of Hortensius et al. (2012) and Kelley et al. (2015) report increased approach-related emotional reactivity (measured as feelings of anger and jealousy) specifically after applying anodal tDCS to the left PFC and cathodal tDCS to the right DLPFC, but not when the electrode montage was reversed. However, our quantitative results overall do not provide evidence supporting the acute influence of tDCS or rTMS on frontal asymmetry effects on global emotional stress reactivity. The optimal choice of target hemisphere for NBS protocols to modulate emotional processes may depend on other stimulation-related factors such as pulse frequency or current polarity (see also the discussion in Vicario et al., 2019). Regarding specific PFC targets, the overview of included studies on emotional reactivity does not show a clear difference between effectivity of NBS over different PFC target regions, and the limited amount of data available per PFC target region prevented meaningful comparisons between target regions. Moreover, when aggregating across studies, the regional specificity of NBS can be low because different localizing methods to target a specific region are used, the electrical field distribution is influenced by individual anatomy, and, especially in case of tDCS, the induced electrical field is not very focal and depends on the electrode montage. Therefore, in the absence of simulations or other measurements of the peak location of the electrical field, we considered it more appropriate to collapse the outcomes from NBS studies targeting various PFC regions. However, targeting different PFC regions may affect different processes and thereby have different effects on stress responses and emotions. To determine the optimal target site for NBS effects on stress- and emotion-related outcomes, more specific comparisons between NBS target regions based on electrical field distributions are needed.
We also considered differences between NBS effects on emotional reactivity across three types of stress: passive stress inductions, psychosocial stress and aversive physical or auditory stress. Different types of stress can differently activate stress systems and differently affect stress regulation strategies (Hancock et al., 2007; Bali and Jaggi, 2015; Lea et al., 2019). However, both rTMS and tDCS studies did not demonstrate systematic different effects on emotional reactivity across types of stress. It could be that the influence of prefrontal NBS on emotional reactivity is independent of stressor category because some (medial) PFC regions are involved in general emotion regulation across different types of stress (Diekhof et al., 2011). Alternatively, the variability in NBS effects on emotional reactivity may not depend on stress sources but on additional features of the stressor that partly determine stress response patterns. These include the unpredictability and uncontrollability of the stressor (Dickerson and Kemeny, 2004; Bali and Jaggi, 2015) and cognitive appraisals about the stressor (Denson et al., 2009). Additionally, the type of emotion induced by the stressor makes a difference; stress responses associated with different types of negative emotions, like fear and sadness, show resemblance but also differ in intensity and specific activation patterns, such as shown for amygdala activation, sympathetic nervous system activations and feelings of pleasantness and arousal (Phan et al., 2002; Kreibig et al., 2007; Kreibig, 2010). Some included emotional outcomes reported in the studies may also be relatively specific to the stress manipulation. It could be difficult to generalize such outcomes to emotional stress reactivity in other situations or to stress-related clinical symptoms. For example, NBS effects on anger after psychosocial stress may say more about potential NBS effects on symptoms of interpersonal distress than on symptoms of panic. However, more research on this topic is needed to be able to zoom in on NBS effects on emotion- or stressor-specific processes. This review combines outcomes of different stress manipulations to give an indication of NBS effects on global emotional reactivity.
Our findings show preliminary evidence that prefrontal NBS, at least with anodal tDCS, lowers acute emotional stress reactivity. This motivates further research in the direction of using prefrontal NBS in enhancing resilience to acute effects of stress. Such protective effects of anodal tDCS have already been shown for acute stress interference on cognitive performance (Plewnia et al., 2015; Bogdanov and Schwabe, 2016). If the efficacy of anodal tDCS on emotional reactivity would be further developed, it may be used to attenuate the tendency to strongly react with negative emotions to daily stressors (Charles et al., 2013) and thereby reduce daily negative affect and the risk on anxiety, chronic stress complaints and PTSD (Steinhardt and Dolbier, 2008; Chiesa and Serretti, 2009; Galatzer-Levy et al., 2013). Finally, although speculative, specifically targeting the PFC might improve resilience to the detrimental results of early-life adversity or life stress on PFC structure and function (Arnsten, 2009; Fisher et al., 2016).
However, beside acute emotional stress reactions, a second important feature is the ‘shutoff’ or recovery of the stress response once a threat has passed (McEwen, 1998). Future NBS research should therefore continue measuring emotion for a prolonged time after the stress induction, to provide more insight in NBS effects in different stages of the emotional stress response, including the recovery of emotional stress responses.
Moreover, the presently estimated effect size of single NBS sessions in a non-clinical population is small (Cohen, 1988). An effect size of small magnitude in healthy samples agrees with NBS effects on working memory and autonomic nervous system functioning (Brunoni and Vanderhasselt, 2014; Makovac et al., 2017). This may be due to a ceiling effect of NBS outcomes when performance on a function is already sufficient (Mottaghy et al., 2003; Furuya et al., 2014; Benwell et al., 2015; McConathey et al., 2017). Also, because prefrontal NBS effects show intraindividual variability as well as interindividual variability, NBS may not always affect emotional reactivity in the same manner in all individuals; factors that could influence the strength and direction of NBS effects on PFC-related processes include baseline neural activity (Antal et al., 2007; Fertonani et al., 2014), stress sensitivity (Peña-Gómez et al., 2011; Fitzgibbon et al., 2017), fatigue, task motivation and gender (Hurley and Machado, 2018). The different NBS methods, participants and experimental contexts that were used in the included studies could therefore have induced heterogeneous effects on emotional reactivity, which may diminish the summary effect.
Still, across studies, the present findings show a weak effect of a single tDCS session on acute emotion stress reactivity. This effect stimulates to further investigate how the effectiveness of prefrontal tDCS, or NBS in general, can be augmented in order to establish clinically significant effects on emotional stress reactivity. The first and perhaps most obvious way to augment effectiveness is by giving a sequence of multiple stimulation sessions instead of relying on single stimulation sessions. Sequences of multiple stimulation sessions augment NBS effects on neurophysiology (Maeda et al., 2000; Bäumer et al., 2003; Pell et al., 2011; Monte-Silva et al., 2013; Bergmann et al., 2016) as well as on behavior, including effects on working memory (Hill et al., 2016) and cognitive control (Elmasry et al., 2015). Moreover, for therapeutic use in affective disorders, a sequence of 20–30 sessions is recommended (McClintock et al., 2018).
Furthermore, the NBS sessions should be combined with a task that activates or trains the targeted neural process. It has been proposed that the effects of tDCS are largest in neural networks and cognitive functions that are activated or trained during stimulation (Martin et al., 2014; Gill et al., 2015; Mancuso et al., 2016; Pisoni et al., 2018; Simonsmeier et al., 2018), perhaps because synaptic activity could be a prerequisite for NBS effects to occur (Kronberg et al., 2017). NBS effects may even be specific to the activated neural or cognitive process during stimulation. For example, prefrontal tDCS may not have one-directional effects on attentional bias for threat, but when participants are trained to direct attention either towards or away from threat, tDCS specifically increases the attentional bias convergent with the trained direction (Clarke et al., 2014; Heeren et al., 2015). Also for other cognitive functions, combining prefrontal tDCS with cognitive training amplifies stimulation effects (Martin et al., 2013), resulting in cognitive benefits that can last for weeks or months and that can transfer to non-trained cognitive skills (Elmasry et al., 2015; Berryhill and Martin, 2018). Likewise, combining prefrontal NBS with cognitive behavioral therapy (Bajbouj and Padberg, 2014) augments treatment response in depression, PTSD and anxiety disorders (Segrave et al., 2014; Li et al., 2016; Kozel et al., 2018; Chalah and Ayache, 2019; van‘t Wout-Frank et al., 2019), while prefrontal NBS in rest (i.e. NBS by itself) does not produce lasting improvements in cognitive performance in neuropsychiatric patients (Martin et al., 2016, 2017). This suggests that NBS effects on emotion regulation processes can be augmented by applying prefrontal NBS during cognitive practice or cognitive therapy.
Finally, although the results of our study suggest that raising stress levels in an experiment may increase the sensitivity of emotional measures to prefrontal NBS effects, it remains unclear whether raising stress levels would also augment prefrontal NBS effects on stress- and emotion-related processes. Some studies showed improved PTSD symptom reduction when prefrontal NBS was combined with trauma exposure (Osuch et al., 2009; Isserles et al., 2013; van‘t Wout-Frank et al., 2019), suggesting that NBS can act specifically on the activated fear memory processes. However, single-session NBS studies on fear extinction in healthy individuals (Asthana et al., 2013; Guhn et al., 2014; Mungee et al., 2014, 2016; van‘t Wout et al., 2016; Dittert et al., 2018) and phobia patients (Notzon et al., 2015) have shown null results or divergent effects of NBS. Further, the effects of a single session of prefrontal NBS on cognitive performance can be similar across neutral and emotionally arousing experimental contexts (Pripfl et al., 2013; Faehling and Plewnia, 2016), both in depressed and healthy participants (Moreno et al., 2015). Hence, single-session NBS studies do not clearly demonstrate whether or not prefrontal NBS effectivity depends on stress or arousal levels during NBS. In therapeutic uses of NBS, further studies are needed to discover if stress levels influence the effects of NBS on stress reactivity and stress-related symptomatology.
Future directions
This study presents an interim overview of the current evidence regarding the direct effects of a number of NBS methods on acute emotional stress reactivity. In this field of research, NBS is often applied with the objective to simply increase or decrease activity in a brain area in order to change stress- or emotion-related outcomes. Yet, our findings show that NBS effects on stress- and emotion-related processes vary. To further clarify the possibilities and limitations of NBS with regard to emotional stress reactivity, future research should focus on a number of important factors.
First of all, the stress processes that are most sensitive to prefrontal NBS should be identified. For instance, physiological measures, including heart rate variability and cortisol responses, appear more sensitive to the acute effects of NBS than self-reports of emotional state (Brunoni et al., 2013; Antal et al., 2014; Baeken et al., 2014; Feeser et al., 2014; Hurlemann et al., 2015; Schroeder et al., 2015; Herrmann et al., 2016, 2018; Remue et al., 2016b; Makovac et al., 2017). Possibly, the physiological stress system mediates the effects of NBS on emotional state by lowering bodily arousal, thereby lowering the subjective experience of arousal (Barrett et al., 2004; Dunn et al., 2010), although the subjective arousal outcomes covered in this review did not clearly show stronger NBS effects than other outcomes. Emotional reactivity based on dimensions of valence, arousal or motivational direction also shows a stronger link to physiological stress reactivity than self-report data of discrete emotions (Mauss and Robinson, 2009). Self-reports of discrete emotions are subject to many other influences, including emotion vocabulary (Barrett, 2004) and personality characteristics (Austin et al., 1998). On the other hand, some argue that self-reports of discrete emotion categories better capture emotional experiences, because they may have more semantic value (Cowen and Keltner, 2017). Different measures may thus capture different aspects of emotional experience. Yet, there are also substantial correlations between valence and arousal ratings on one hand and self-reports of discrete emotions on the other (Bradley and Lang, 1994; Hoffmann et al., 2012; Cowen and Keltner, 2017), suggesting that these different measures capture similar aspects of emotion too. For this reason, different measures of emotional experience have been combined in the present study. To better understand how NBS affects different aspects of emotional experience, future studies should make more explicit distinctions between different measures of dimensional and discrete emotional categories. This difference between measures also demonstrates the need to use measurement instruments that are sensitive to the effects of NBS. For example, a single session of prefrontal NBS may have little effect on global mood after an experiment (Remue et al., 2016a) but could at the same time change the acute emotional response to aversive pictures during the experiment (Feeser et al., 2014; Rêgo et al., 2015; Marques et al., 2018). In addition, subjective experiences of emotion (‘self-focused’ emotions) share features with perceptions of emotional stimuli (‘world-focused’ emotions) (Quigley et al., 2013) but also refer to distinct aspects of emotional processes. The prefrontal cortex, for example, seems more involved in self-focused emotional reactivity (Herbert et al., 2011), suggesting that the focus of the emotional measure may influence sensitivity to prefrontal NBS effects. The use of insensitive measurement instruments or measurement timings may introduce heterogeneity in the outcomes and thereby obscure the direct effects of NBS.
Second, acute NBS effects seem to depend on task or experimental settings, such as task instructions (Feeser et al., 2014; Möbius et al., 2017; He et al., 2018; Marques et al., 2018), the time between the stress induction and measuring the emotional outcome (Feeser et al., 2014; Rêgo et al., 2015; Dittert et al., 2018) and the relationship between the emotion and the behavior that is induced by the stressor (Hortensius et al., 2012; Kelley et al., 2015). Future NBS research should pay attention to experimental tasks and measurement protocols that are sensitive to the NBS effects, especially in single-session NBS experiments that produce very subtle effects.
Third, preferred cortical targets for NBS applications in stress and emotion may lie beyond the PFC. For example, stimulating the dorsal anterior cingulate cortex (dACC) could enhance emotional learning and memory for extinction of fear memories (Marin et al., 2014; Downar et al., 2016). Yet, the dACC may lie out of reach for tDCS and conventional rTMS and might therefore better be targeted by techniques such as deep TMS (Zangen et al., 2005; Roth et al., 2007; Isserles et al., 2013). In addition, the occipital cortex (Janik et al., 2015), the parietal cortex (Schutter et al., 2009, 2010) and the cerebellum (Schutter and van Honk, 2009; Ferrucci et al., 2012) may be suitable NBS targets to improve emotion regulation or restore emotional perception deficits in affective disorders (Kohler et al., 2011).
Fourth, applying rTMS in certain rhythmic patterns or using transcranial alternate current stimulation (tACS) can induce interaction with other components of brain function than conventional rTMS and tDCS, e.g. by influencing ongoing oscillatory activity (Paulus, 2011; Schutter, 2014; Thut et al., 2017). Such techniques may provide an alternative pathway to modulate cortical excitability (Paulus, 2011) and cognitive functions like working memory (Albouy et al., 2018).
Finally, NBS effects are shaped by many technical (Jung et al., 2008; Zaehle et al., 2011; Jacobson et al., 2012; Batsikadze et al., 2013; Hoy et al., 2013; Lage et al., 2016), biological (Cheeran et al., 2008; Ludwig et al., 2010; Fertonani et al., 2014; Teo et al., 2014; Jannati et al., 2017; Antonenko et al., 2018), clinical (Guse et al., 2010) and personal factors (Ridding and Ziemann, 2010; Hsu et al., 2016; Huang et al., 2017; Valero-Cabré et al., 2017). However, the data in the present quantitative analysis did not allow analyses of all these factor-specific effects. Accordingly, the estimated effect sizes in this work might not be applicable to specific methods or populations. Future research should determine if and how moderating factors shape the scope of prefrontal NBS effects, particularly those moderating factors that are relevant to stress and emotion.
Conclusion
This review and quantitative analysis presents an overview of the direct effects of single-session prefrontal NBS on emotional stress reactivity as investigated with various NBS methods. These studies together do not provide evidence for a one-directional effect of prefrontal NBS on emotional stress reactivity in healthy individuals. However, the magnitude and direction of NBS effects on emotional reactivity may depend on various technical, experimental, neurobiological and mental state factors, which prevent drawing definite conclusions about the overall direct effects of prefrontal NBS on stress-related emotions. Effects of specific NBS methods demonstrate a small beneficial effect on emotional stress reactivity of anodal tDCS. These preliminary findings imply that prefrontal NBS can potentially be used to facilitate resilience against the detrimental impact of stress on cognitive functioning and mental health, but only if this technique is further investigated and developed.
Supplementary Material
Acknowledgements
We thank Milou Sep, Sanne van der Wal and two anonymous reviewers for their helpful comments on this study and manuscript.
Funding
This work was supported by the Dutch Ministry of Defence. The Dutch Ministry of Defence had no involvement in the study design; in the collection, analysis and interpretation of data; in writing of the report; or in the decision to submit the article for publication.
Conflict of interest
The authors declare no conflicts of interest.
References
- Abend R., Jalon I., Gurevitch G., et al. (2016). Modulation of fear extinction processes using transcranial electrical stimulation. Translational Psychiatry, 6, e913. doi: 10.1038/tp.2016.197. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Abend R., Sar-el R., Gonen T., et al. (2018). Modulating emotional experience using electrical stimulation of the medial-prefrontal cortex: a preliminary tDCS-fMRI study. Neuromodulation: Technology at the Neural Interface, 22, 884–893 doi: 10.1111/ner.12787. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ahmadizadeh M.-J., Rezaei M. (2018). Unilateral right and bilateral dorsolateral prefrontal cortex transcranial magnetic stimulation in treatment post-traumatic stress disorder: a randomized controlled study. Brain Research Bulletin, 140, 334–40. doi: 10.1016/j.brainresbull.2018.06.001. [DOI] [PubMed] [Google Scholar]
- Ahmadizadeh M.-J., Rezaei M., Fitzgerald P.B. (2019). Transcranial direct current stimulation (tDCS) for post-traumatic stress disorder (PTSD): a randomized, double-blinded, controlled trial. Brain Research Bulletin, 153, 273–8. doi: 10.1016/j.brainresbull.2019.09.011. [DOI] [PubMed] [Google Scholar]
- Albouy P., Baillet S., Zatorre R.J. (2018). Driving working memory with frequency-tuned noninvasive brain stimulation. Annals of the New York Academy of Sciences, 1423, 126–37. doi: 10.1111/nyas.13664. [DOI] [PubMed] [Google Scholar]
- Allen A.P., Kennedy P.J., Cryan J.F., Dinan T.G., Clarke G. (2014). Biological and psychological markers of stress in humans: focus on the trier social stress test. Neuroscience and Biobehavioral Reviews, 38, 94–124. doi: 10.1016/j.neubiorev.2013.11.005. [DOI] [PubMed] [Google Scholar]
- Ambrus G.G., Al-Moyed H., Chaieb L., Sarp L., Antal A., Paulus W. (2012). The fade-in—short stimulation—fade out approach to sham tDCS—reliable at 1 mA for naïve and experienced subjects, but not investigators. Brain Stimulation, 5, 499–504. doi: 10.1016/j.brs.2011.12.001. [DOI] [PubMed] [Google Scholar]
- Antal A., Fischer T., Saiote C., et al. (2014). Transcranial electrical stimulation modifies the neuronal response to psychosocial stress exposure. Human Brain Mapping, 35, 3750–9. doi: 10.1002/hbm.22434. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Antal A., Terney D., Poreisz C., Paulus W. (2007). Towards unravelling task-related modulations of neuroplastic changes induced in the human motor cortex. The European Journal of Neuroscience, 26, 2687–91. doi: 10.1111/j.1460-9568.2007.05896.x. [DOI] [PubMed] [Google Scholar]
- Antonenko D., Nierhaus T., Meinzer M., et al. (2018). Age-dependent effects of brain stimulation on network centrality. NeuroImage, 176, 71–82. doi: 10.1016/j.neuroimage.2018.04.038. [DOI] [PubMed] [Google Scholar]
- Argyle N., Deltito J., Allerup P., et al. (1991). The panic-associated symptom scale: measuring the severity of panic disorder. Acta Psychiatrica Scandinavica, 83, 20–6. [DOI] [PubMed] [Google Scholar]
- Arnsten A.F.T. (2015). Stress weakens prefrontal networks: molecular insults to higher cognition. Nature Neuroscience, 18, 1376–85. doi: 10.1038/nn.4087. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Arnsten A.F.T. (2009). Stress signalling pathways that impair prefrontal cortex structure and function. Nature Reviews Neuroscience, 10, 410–22. doi: 10.1038/nrn2648. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Arora S., Sevdalis N., Nestel D., Woloshynowych M., Darzi A., Kneebone R. (2010). The impact of stress on surgical performance: a systematic review of the literature. Surgery, 147, 318–30.e6. doi: 10.1016/j.surg.2009.10.007. [DOI] [PubMed] [Google Scholar]
- Assaf M., Rabany L., Zertuche L., et al. (2018). Neural functional architecture and modulation during decision making under uncertainty in individuals with generalized anxiety disorder. Brain and Behavior: A Cognitive Neuroscience Perspective, 8, e01015. doi: 10.1002/brb3.1015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Asthana M., Nueckel K., Mühlberger A., et al. (2013). Effects of transcranial direct current stimulation on consolidation of fear memory. Frontiers in Psychiatry, 4, 107. doi: 10.3389/fpsyt.2013.00107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Austin E.J., Deary I.J., Gibson G.J., McGregor M.J., Dent J.B. (1998). Individual response spread in self-report scales: personality correlations and consequences. Personality and Individual Differences, 24, 421–38. doi: 10.1016/S0191-8869(97)00175-X. [DOI] [Google Scholar]
- Baeken C., Dedoncker J., Remue J., et al. (2018). One MRI-compatible tDCS session attenuates ventromedial cortical perfusion when exposed to verbal criticism: the role of perceived criticism. Human Brain Mapping, 39, 4462–70. doi: 10.1002/hbm.24285. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Baeken C., Vanderhasselt M.A., Remue J., et al. (2014). One left dorsolateral prefrontal cortical HF-rTMS session attenuates HPA-system sensitivity to critical feedback in healthy females. Neuropsychologia, 57, 112–21. doi: 10.1016/j.neuropsychologia.2014.02.019. [DOI] [PubMed] [Google Scholar]
- Bagherzadeh Y., Khorrami A., Zarrindast M.R., Shariat S.V., Pantazis D. (2016). Repetitive transcranial magnetic stimulation of the dorsolateral prefrontal cortex enhances working memory. Experimental Brain Research, 234, 1807–18. doi: 10.1007/s00221-016-4580-1. [DOI] [PubMed] [Google Scholar]
- Bajbouj M., Padberg F. (2014). A perfect match: noninvasive brain stimulation and psychotherapy. European Archives of Psychiatry and Clinical Neuroscience, 264, 27–33. doi: 10.1007/s00406-014-0540-6. [DOI] [PubMed] [Google Scholar]
- Balconi M. (2013). Dorsolateral prefrontal cortex, working memory and episodic memory processes: insight through transcranial magnetic stimulation techniques. Neuroscience Bulletin, 29, 381–9. doi: 10.1007/s12264-013-1309-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bali A., Jaggi A.S. (2015). Clinical experimental stress studies: methods and assessment. Reviews in the Neurosciences, 26, 555–79. doi: 10.1515/revneuro-2015-0004. [DOI] [PubMed] [Google Scholar]
- Barrett L.F. (2004). Feelings or words? Understanding the content in self-report ratings of experienced emotion. Journal of Personality and Social Psychology, 87, 266–81. doi: 10.1037/0022-3514.87.2.266. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Barrett L.F., Bliss-Moreau E., Quigley K.S., Aronson K.R. (2004). Interoceptive sensitivity and self-reports of emotional experience. Journal of Personality and Social Psychology, 87, 684–97. doi: 10.1037/0022-3514.87.5.684. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Basten U., Stelzel C., Fiebach C.J. (2011). Trait anxiety modulates the neural efficiency of inhibitory control. Journal of Cognitive Neuroscience, 23, 3132–45. doi: 10.1162/jocn_a_00003. [DOI] [PubMed] [Google Scholar]
- Batsikadze G., Moliadze V., Paulus W., Kuo M.-F., Nitsche M.A. (2013). Partially non-linear stimulation intensity-dependent effects of direct current stimulation on motor cortex excitability in humans. The Journal of Physiology, 591, 1987–2000. doi: 10.1113/jphysiol.2012.249730. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bäumer T., Lange R., Liepert J., et al. (2003). Repeated premotor rTMS leads to cumulative plastic changes of motor cortex excitability in humans. NeuroImage, 20, 550–60. doi: 10.1016/S1053-8119(03)00310-0. [DOI] [PubMed] [Google Scholar]
- Beam W., Borckardt J.J., Reeves S.T., George M.S. (2009). An efficient and accurate new method for locating the F3 position for prefrontal TMS applications. Brain Stimulation, 2, 50–4. doi: 10.1016/j.brs.2008.09.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bell S.B., DeWall N. (2018). Does transcranial direct current stimulation to the prefrontal cortex affect social behavior? A meta-analysis. Social Cognitive and Affective Neuroscience, 13, 899–906. doi: 10.1093/scan/nsy069. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Benwell C.S.Y., Learmonth G., Miniussi C., Harvey M., Thut G. (2015). Non-linear effects of transcranial direct current stimulation as a function of individual baseline performance: evidence from biparietal tDCS influence on lateralized attention bias. Cortex, 69, 152–65. doi: 10.1016/j.cortex.2015.05.007. [DOI] [PubMed] [Google Scholar]
- Berger C., Domes G., Balschat J., Thome J., Höppner J. (2017). Effects of prefrontal rTMS on autonomic reactions to affective pictures. Journal of Neural Transmission, 124, 139–52. doi: 10.1007/s00702-015-1491-4. [DOI] [PubMed] [Google Scholar]
- Bergmann T.O., Karabanov A., Hartwigsen G., Thielscher A., Siebner H.R. (2016). Combining non-invasive transcranial brain stimulation with neuroimaging and electrophysiology: current approaches and future perspectives. NeuroImage, 140, 4–19. doi: 10.1016/j.neuroimage.2016.02.012. [DOI] [PubMed] [Google Scholar]
- Berkman E.T., Kahn L.E., Merchant J.S. (2014). Training-induced changes in inhibitory control network activity. The Journal of Neuroscience, 34, 149–57. doi: 10.1523/JNEUROSCI.3564-13.2014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Berlim M.T., Van den Eynde F. (2014). Repetitive transcranial magnetic stimulation over the dorsolateral prefrontal cortex for treating posttraumatic stress disorder: an exploratory meta-analysis of randomized, double-blind and sham-controlled trials. Canadian Journal of Psychiatry, 59, 487–96. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Berlim M.T., Van den Eynde F., Daskalakis Z.J. (2013). A systematic review and meta-analysis on the efficacy and acceptability of bilateral repetitive transcranial magnetic stimulation (rTMS) for treating major depression. Psychological Medicine, 43, 2245–54. doi: 10.1017/S0033291712002802. [DOI] [PubMed] [Google Scholar]
- Berlim M.T., van den Eynde F., Tovar-Perdomo S., Daskalakis Z.J. (2014). Response, remission and drop-out rates following high-frequency repetitive transcranial magnetic stimulation (rTMS) for treating major depression: a systematic review and meta-analysis of randomized, double-blind and sham-controlled trials. Psychological Medicine, 44, 225–39. doi: 10.1017/S0033291713000512. [DOI] [PubMed] [Google Scholar]
- Bernat E., Patrick C.J., Benning S.D., Tellegen A. (2006). Effects of picture content and intensity on affective physiological response. Psychophysiology, 43, 93–103. doi: 10.1111/j.1469-8986.2006.00380.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Berryhill M.E., Martin D. (2018). Cognitive effects of transcranial direct current stimulation in healthy and clinical populations: an overview. The Journal of ECT, 34, e25–35. doi: 10.1097/YCT.0000000000000534. [DOI] [PubMed] [Google Scholar]
- Bishop S.J. (2009). Trait anxiety and impoverished prefrontal control of attention. Nature Neuroscience, 12, 92–8. doi: 10.1038/nn.2242. [DOI] [PubMed] [Google Scholar]
- Bishop S.J. (2007). Neurocognitive mechanisms of anxiety: an integrative account. Trends in Cognitive Sciences, 11, 307–16. doi: 10.1016/j.tics.2007.05.008. [DOI] [PubMed] [Google Scholar]
- Bogdanov M., Schwabe L. (2016). Transcranial stimulation of the dorsolateral prefrontal cortex prevents stress-induced working memory deficits. The Journal of Neuroscience, 36, 1429–37. doi: 10.1523/JNEUROSCI.3687-15.2016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Boggio P.S., Rocha M., Oliveira M.O., et al. (2010). Noninvasive brain stimulation with high-frequency and low-intensity repetitive transcranial magnetic stimulation treatment for posttraumatic stress disorder. The Journal of Clinical Psychiatry, 71, 992–9. doi: 10.4088/JCP.08m04638blu. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Boggio P.S., Zaghi S., Fregni F. (2009). Modulation of emotions associated with images of human pain using anodal transcranial direct current stimulation (tDCS). Neuropsychologia, 47, 212–7. doi: 10.1016/j.neuropsychologia.2008.07.022. [DOI] [PubMed] [Google Scholar]
- Boyes M.E., French D.J. (2009). Having a Cyberball: using a ball-throwing game as an experimental social stressor to examine the relationship between neuroticism and coping. Personality and Individual Differences, 47, 396–401. doi: 10.1016/j.paid.2009.04.005. [DOI] [Google Scholar]
- Bradley M.M., Lang P.J. (1994). Measuring emotion: the self-assessment manikin and the semantic differential. Journal of Behavior Therapy and Experimental Psychiatry, 25, 49–59. doi: 10.1016/0005-7916(94)90063-9. [DOI] [PubMed] [Google Scholar]
- Browning M., Holmes E.A., Murphy S.E., Goodwin G.M., Harmer C.J. (2010). Lateral prefrontal cortex mediates the cognitive modification of Attentional bias. Biological Psychiatry, 67, 919–25. doi: 10.1016/j.biopsych.2009.10.031. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Brunoni A.R., Vanderhasselt M.-A. (2014). Working memory improvement with non-invasive brain stimulation of the dorsolateral prefrontal cortex: a systematic review and meta-analysis. Brain and Cognition, 86, 1–9. doi: 10.1016/j.bandc.2014.01.008. [DOI] [PubMed] [Google Scholar]
- Brunoni A.R., Vanderhasselt M.-A., Boggio P.S., et al. (2013). Polarity- and valence-dependent effects of prefrontal transcranial direct current stimulation on heart rate variability and salivary cortisol. Psychoneuroendocrinology, 38, 58–66. doi: 10.1016/j.psyneuen.2012.04.020. [DOI] [PubMed] [Google Scholar]
- Buhle J.T., Silvers J.A., Wager T.D., et al. (2014). Cognitive reappraisal of emotion: a meta-analysis of human neuroimaging studies. Cerebral Cortex, 24, 2981–90. doi: 10.1093/cercor/bht154. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Carletti F., Fusar-Poli P., Abbamonte M., et al. (2009). Laterality effect on emotional faces processing: ALE meta-analysis of evidence. Neuroscience Letters, 452, 262–7. doi: 10.1016/j.neulet.2009.01.065. [DOI] [PubMed] [Google Scholar]
- Carlisi C.O., Robinson O.J. (2018). The role of prefrontal–subcortical circuitry in negative bias in anxiety: translational, developmental and treatment perspectives. Brain and Neuroscience Advances, 2, 239821281877422. doi: 10.1177/2398212818774223. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Carnevali L., Pattini E., Sgoifo A., Ottaviani C. (2019). Effects of prefrontal transcranial direct current stimulation on autonomic and neuroendocrine responses to psychosocial stress in healthy humans. Stress, 1–11. doi: 10.1080/10253890.2019.1625884. [DOI] [PubMed] [Google Scholar]
- Chalah M.A., Ayache S.S. (2019). Noninvasive brain stimulation and psychotherapy in anxiety and depressive disorders: a viewpoint. Brain Sciences, 9, 82. doi: 10.3390/brainsci9040082. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Charles S.T., Piazza J.R., Mogle J., Sliwinski M.J., Almeida D.M. (2013). The wear and tear of daily stressors on mental health. Psychological Science, 24, 733–41. doi: 10.1177/0956797612462222. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cheeran B., Talelli P., Mori F., et al. (2008). A common polymorphism in the brain-derived neurotrophic factor gene (BDNF) modulates human cortical plasticity and the response to rTMS. The Journal of Physiology, 586, 5717–25. doi: 10.1113/jphysiol.2008.159905. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chen N.T.M., Basanovic J., Notebaert L., MacLeod C., Clarke P.J.F. (2017). Attentional bias mediates the effect of neurostimulation on emotional vulnerability. Journal of Psychiatric Research, 93, 12–9. doi: 10.1016/j.jpsychires.2017.05.008. [DOI] [PubMed] [Google Scholar]
- Chiesa A., Serretti A. (2009). Mindfulness-based stress reduction for stress management in healthy people: a review and meta-analysis. Journal of Alternative and Complementary Medicine, 15, 593–600. doi: 10.1089/acm.2008.0495. [DOI] [PubMed] [Google Scholar]
- Chrouser K.L., Xu J., Hallbeck S., Weinger M.B., Partin M.R. (2018). The influence of stress responses on surgical performance and outcomes: literature review and the development of the surgical stress effects (SSE) framework. American Journal of Surgery, 216, 573–84. doi: 10.1016/j.amjsurg.2018.02.017. [DOI] [PubMed] [Google Scholar]
- Cirillo G., Di Pino G., Capone F., et al. (2017). Neurobiological after-effects of non-invasive brain stimulation. Brain Stimulation, 10, 1–18. doi: 10.1016/j.brs.2016.11.009. [DOI] [PubMed] [Google Scholar]
- Clarke P.J.F.F., Browning M., Hammond G., Notebaert L., Macleod C. (2014). The causal role of the dorsolateral prefrontal cortex in the modification of attentional bias: evidence from transcranial direct current stimulation. Biological Psychiatry, 1–7. doi: 10.1016/j.biopsych.2014.03.003. [DOI] [PubMed] [Google Scholar]
- Cohen J., 1988. Statistical Power Analysis for the Behavioral Sciences. 2nd ednRoutledge, New York, NY. doi: 10.4324/9780203771587 [DOI] [Google Scholar]
- Cowen A.S., Keltner D. (2017). Self-report captures 27 distinct categories of emotion bridged by continuous gradients. Proceedings of the National Academy of Sciences, 114, E7900–9. doi: 10.1073/pnas.1702247114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Davidson R.J. (1992). Anterior cerebral asymmetry and the nature of emotion. Brain and Cognition, 20, 125–51. doi: 10.1016/0278-2626(92)90065-T. [DOI] [PubMed] [Google Scholar]
- Dayan E., Censor N., Buch E.R., Sandrini M., Cohen L.G. (2013). Noninvasive brain stimulation: from physiology to network dynamics and back. Nature Neuroscience, 16, 838–44. doi: 10.1038/nn.3422. [DOI] [PMC free article] [PubMed] [Google Scholar]
- De Witte S., Baeken C., Pulopulos M.M., et al. (2020). The effect of neurostimulation applied to the left dorsolateral prefrontal cortex on post-stress adaptation as a function of depressive brooding. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 96, 109687. doi: 10.1016/j.pnpbp.2019.109687. [DOI] [PubMed] [Google Scholar]
- Dedoncker J., Vanderhasselt M.-A., Remue J., et al. (2019). Prefrontal TDCS attenuates medial prefrontal connectivity upon being criticized in individuals scoring high on perceived criticism. Brain Imaging and Behavior, 13, 1060–70. doi: 10.1007/s11682-018-9927-8. [DOI] [PubMed] [Google Scholar]
- Deldar Z., Rustamov N., Bois S., Blanchette I., Piché M. (2018). Enhancement of pain inhibition by working memory with anodal transcranial direct current stimulation of the left dorsolateral prefrontal cortex. The Journal of Physiological Sciences, 68, 825–36. doi: 10.1007/s12576-018-0598-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Denson T.F., Spanovic M., Miller N. (2009). Cognitive appraisals and emotions predict cortisol and immune responses: a meta-analysis of acute laboratory social stressors and emotion inductions. Psychological Bulletin, 135, 823. doi: 10.1037/a0016909. [DOI] [PubMed] [Google Scholar]
- Deppermann S., Vennewald N., Diemer J., et al. (2014). Does rTMS Alter neurocognitive functioning in patients with panic disorder/agoraphobia? An fNIRS-based investigation of prefrontal activation during a cognitive task and its modulation via sham-controlled rTMS. BioMed Research International, 2014, 1–12. doi: 10.1155/2014/542526. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dickerson S.S., Kemeny M.E. (2004). Acute stressors and cortisol responses: a theoretical integration and synthesis of laboratory research. Psychological Bulletin, 130, 355. doi: 10.1037/0033-2909.130.3.355. [DOI] [PubMed] [Google Scholar]
- Diefenbach G.J., Bragdon L.B., Zertuche L., et al. (2016). Repetitive transcranial magnetic stimulation for generalised anxiety disorder: a pilot randomised, double-blind, sham-controlled trial. The British Journal of Psychiatry, 209, 222–8. doi: 10.1192/bjp.bp.115.168203. [DOI] [PubMed] [Google Scholar]
- Diekhof E.K., Geier K., Falkai P., Gruber O. (2011). Fear is only as deep as the mind allows. NeuroImage, 58, 275–85. doi: 10.1016/j.neuroimage.2011.05.073. [DOI] [PubMed] [Google Scholar]
- Dilkov D., Hawken E.R., Kaludiev E., Milev R. (2017). Repetitive transcranial magnetic stimulation of the right dorsal lateral prefrontal cortex in the treatment of generalized anxiety disorder: a randomized, double-blind sham controlled clinical trial. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 78, 61–5. doi: 10.1016/j.pnpbp.2017.05.018. [DOI] [PubMed] [Google Scholar]
- Diorio D., Viau V., Meaney M.J. (1993). The role of the medial prefrontal cortex (cingulate gyrus) in the regulation of hypothalamic-pituitary-adrenal responses to stress. The Journal of Neuroscience, 13, 3839–47. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dittert N., Hüttner S., Polak T., Herrmann M.J. (2018). Augmentation of fear extinction by transcranial direct current stimulation (tDCS). Frontiers in Behavioral Neuroscience, 12, 76. doi: 10.3389/fnbeh.2018.00076. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Downar J., Blumberger D.M., Daskalakis Z.J. (2016). The neural crossroads of psychiatric illness: an emerging target for brain stimulation. Trends in Cognitive Sciences, 20, 107–20. doi: 10.1016/j.tics.2015.10.007. [DOI] [PubMed] [Google Scholar]
- Downs S.H., Black N. (1998). The feasibility of creating a checklist for the assessment of the methodological quality both of randomised and non-randomised studies of health care interventions. Journal of Epidemiology and Community Health, 52, 377–84. doi: 10.1136/jech.52.6.377. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Duecker F., Sack A.T. (2015). Rethinking the role of sham TMS. Frontiers in Psychology, 6, 210. doi: 10.3389/fpsyg.2015.00210. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dunn B.D., Galton H.C., Morgan R., et al. (2010). Listening to your heart: how interoception shapes emotion experience and intuitive decision making. Psychological Science, 21, 1835–44. doi: 10.1177/0956797610389191. [DOI] [PubMed] [Google Scholar]
- Eidelman-Rothman M., Levy J., Feldman R. (2016). Alpha oscillations and their impairment in affective and post-traumatic stress disorders. Neuroscience and Biobehavioral Reviews, 68, 794–815. doi: 10.1016/j.neubiorev.2016.07.005. [DOI] [PubMed] [Google Scholar]
- Elmasry J., Loo C., Martin D. (2015). A systematic review of transcranial electrical stimulation combined with cognitive training. Restorative Neurology and Neuroscience, 33, 263–78. doi: 10.3233/RNN-140473. [DOI] [PubMed] [Google Scholar]
- Etkin A., Büchel C., Gross J.J. (2015). The neural bases of emotion regulation. Nature Reviews Neuroscience, 16, 693–700. doi: 10.1038/nrn4044. [DOI] [PubMed] [Google Scholar]
- Etkin A., Wager T.D. (2007). Functional neuroimaging of anxiety: a meta-analysis of emotional processing in PTSD, social anxiety disorder, and specific phobia. The American Journal of Psychiatry, 164, 1476–88. doi: 10.1176/appi.ajp.2007.07030504. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Faehling F., Plewnia C. (2016). Controlling the emotional bias: performance, late positive potentials, and the effect of anodal transcranial direct current stimulation (tDCS). Frontiers in Cellular Neuroscience, 10, 159. doi: 10.3389/fncel.2016.00159. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Feeser M., Prehn K., Kazzer P., Mungee A., Bajbouj M. (2014). Transcranial direct current stimulation enhances cognitive control during emotion regulation. Brain Stimulation, 7, 105–12. doi: 10.1016/j.brs.2013.08.006. [DOI] [PubMed] [Google Scholar]
- Ferrucci R., Giannicola G., Rosa M., et al. (2012). Cerebellum and processing of negative facial emotions: cerebellar transcranial DC stimulation specifically enhances the emotional recognition of facial anger and sadness. Cognition & Emotion, 26, 786–99. doi: 10.1080/02699931.2011.619520. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fertonani A., Brambilla M., Cotelli M., Miniussi C. (2014). The timing of cognitive plasticity in physiological aging: a tDCS study of naming. Frontiers in Aging Neuroscience, 6, 131. doi: 10.3389/fnagi.2014.00131. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fisher P.A., Beauchamp K.G., Roos L., Noll L.K., Flannery J., Delker B. (2016). The neurobiology of intervention and prevention in early adversity. Annual Review of Clinical Psychology, 12, 331–57. doi: 10.1146/annurev-clinpsy-032814-112855. [DOI] [PubMed] [Google Scholar]
- Fisher Z., Tipton E. (2015). Robumeta: an R-package for robust variance estimation in meta-analysis . arXiv Prepr., Retrieved from http://arXiv1503.02220.
- Fitzgerald P., Fountain S., Daskalakis Z. (2006). A comprehensive review of the effects of rTMS on motor cortical excitability and inhibition. Clinical Neurophysiology, 117, 2584–96. doi: 10.1016/j.clinph.2006.06.712. [DOI] [PubMed] [Google Scholar]
- Fitzgibbon B.M., Kirkovski M., Bailey N.W., et al. (2017). Low-frequency brain stimulation to the left dorsolateral prefrontal cortex increases the negative impact of social exclusion among those high in personal distress. Social Neuroscience, 12, 237–41. doi: 10.1080/17470919.2016.1166154. [DOI] [PubMed] [Google Scholar]
- Furuya S., Klaus M., Nitsche M.A., Paulus W., Altenmüller E. (2014). Ceiling effects prevent further improvement of transcranial stimulation in skilled musicians. The Journal of Neuroscience, 34, 13834–9. doi: 10.1523/JNEUROSCI.1170-14.2014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fyer A.J., Dillon D.J., Gorman J.M., Liebowitz M.R., Klein D.F. (2002). Measurement of lactate-induced panic and anxiety. Psychiatry Research, 20, 97–105. doi: 10.1016/0165-1781(87)90002-3. [DOI] [PubMed] [Google Scholar]
- Gadea M., Gómez C., González-Bono E., Espert R., Salvador A. (2005). Increased cortisol and decreased right ear advantage (REA) in dichotic listening following a negative mood induction. Psychoneuroendocrinology, 30, 129–38. doi: 10.1016/j.psyneuen.2004.06.005. [DOI] [PubMed] [Google Scholar]
- Galatzer-Levy I.R., Brown A.D., Henn-Haase C., Metzler T.J., Neylan T.C., Marmar C.R. (2013). Positive and negative emotion prospectively predict trajectories of resilience and distress among high-exposure police officers. Emotion, 13, 545–53. doi: 10.1037/a0031314. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gamboa O.L., Antal A., Moliadze V., Paulus W. (2010). Simply longer is not better: reversal of theta burst after-effect with prolonged stimulation. Experimental Brain Research, 204, 181–7. doi: 10.1007/s00221-010-2293-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ganho-Ávila A., Gonçalves Ó.F., Guiomar R., et al. (2019). The effect of cathodal tDCS on fear extinction: a cross-measures study. PLoS One, 14, e0221282. doi: 10.1371/journal.pone.0221282. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gaynes B.N., Lloyd S.W., Lux L., et al. (2014). Repetitive transcranial magnetic stimulation for treatment-resistant depression: a systematic review and meta-analysis. The Journal of Clinical Psychiatry, 75, 477, quiz 489–89. doi: 10.4088/JCP.13r08815. [DOI] [PubMed] [Google Scholar]
- Gerdes A.B.M., Wieser M.J., Mühlberger A., et al. (2010). Brain activations to emotional pictures are differentially associated with valence and arousal ratings. Frontiers in Human Neuroscience, 4, 175. doi: 10.3389/fnhum.2010.00175. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gill J., Shah-basak P.P., Hamilton R. (2015). It’s the thought that counts: examining the task-dependent effects of transcranial direct current stimulation on executive function. Brain Stimulation, 8, 253–9. doi: 10.1016/j.brs.2014.10.018. [DOI] [PubMed] [Google Scholar]
- Goldin P.R., Ziv M., Jazaieri H., Weeks J., Heimberg R.G., Gross J.J. (2014). Impact of cognitive-behavioral therapy for social anxiety disorder on the neural bases of emotional reactivity to and regulation of social evaluation. Behaviour Research and Therapy, 62, 97–106. doi: 10.1016/j.brat.2014.08.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Goodman R.N., Rietschel J.C., Lo L.C., Costanzo M.E., Hatfield B.D. (2013). Stress, emotion regulation and cognitive performance: the predictive contributions of trait and state relative frontal EEG alpha asymmetry. International Journal of Psychophysiology, 87, 115–23. doi: 10.1016/j.ijpsycho.2012.09.008. [DOI] [PubMed] [Google Scholar]
- Grupe D.W., Nitschke J.B. (2013). Uncertainty and anticipation in anxiety: an integrated neurobiological and psychological perspective. Nature Reviews. Neuroscience, 14, 488–501. doi: 10.1038/nrn3524. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Guhn A., Dresler T., Andreatta M., et al. (2014). Medial prefrontal cortex stimulation modulates the processing of conditioned fear. Frontiers in Behavioral Neuroscience, 8, 44. doi: 10.3389/fnbeh.2014.00044. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Guse B., Falkai P., Wobrock T. (2010). Cognitive effects of high-frequency repetitive transcranial magnetic stimulation: a systematic review. Journal of Neural Transmission, 117, 105–22. doi: 10.1007/s00702-009-0333-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hancock P.A., Ross J.M., Szalma J.L. (2007). A meta-analysis of performance response under thermal stressors. Human Factors and Ergonomics Society, 49, 851–77. doi: 10.1518/001872007x230226. [DOI] [PubMed] [Google Scholar]
- Harmer C.J., Mackay C.E., Reid C.B., Cowen P.J., Goodwin G.M. (2006). Antidepressant drug treatment modifies the neural processing of nonconscious threat cues. Biological Psychiatry, 59, 816–20. doi: 10.1016/j.biopsych.2005.10.015. [DOI] [PubMed] [Google Scholar]
- Harmon-Jones E., Gable P.A. (2018). On the role of asymmetric frontal cortical activity in approach and withdrawal motivation: an updated review of the evidence. Psychophysiology, 55, e12879. doi: 10.1111/psyp.12879. [DOI] [PubMed] [Google Scholar]
- Harris W.C., Hancock P.A., Harris S.C. (2005). Information processing changes following extended stress. Military Psychology, 17, 115–28. doi: 10.1207/s15327876mp1702_4. [DOI] [Google Scholar]
- Hartling L., Hamm M., Mile A., Al E. (2012). Guidelines for risk of bias assessments In: Validity and Inter-Rater Reliability Testing of Quality Assessment Instruments, Appendix B [Internet], Rockville, MD: Agency for Healthcare Research and Quality (US). [PubMed] [Google Scholar]
- He Z., Lin Y., Xia L., Liu Z., Zhang D., Elliott R. (2018). Critical role of the right VLPFC in emotional regulation of social exclusion: a tDCS study. Social Cognitive and Affective Neuroscience, 13, 357–66. doi: 10.1093/scan/nsy026. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hedges L.V. (1981). Distribution theory for Glass’s estimator of effect size and related estimators. Journal of Educational Statistics, 6, 107–28. doi: 10.3102/10769986006002107. [DOI] [Google Scholar]
- Hedges L.V., Olkin I. (1985). Statistical Methods for Meta-Analysis, New York, NY: Academic Press. [Google Scholar]
- Hedges L.V., Tipton E., Johnson M.C. (2010). Robust variance estimation in meta-regression with dependent effect size estimates. Research Synthesis Methods, 1, 39–65. doi: 10.1002/jrsm.5. [DOI] [PubMed] [Google Scholar]
- Heeren A., Baeken C., Vanderhasselt M.-A., Philippot P., de Raedt R. (2015). Impact of anodal and cathodal transcranial direct current stimulation over the left dorsolateral prefrontal cortex during attention bias modification: an eye-tracking study. PLoS One, 10, e0124182. doi: 10.1371/journal.pone.0124182. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Helpman L., Penso J., Zagoory-Sharon O., Feldman R., Gilboa-Schechtman E. (2017). Endocrine and emotional response to exclusion among women and men; cortisol, salivary alpha amylase, and mood. Anxiety, Stress, and Coping, 30, 253–63. doi: 10.1080/10615806.2016.1269323. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Herbert C., Herbert B.M., Pauli P. (2011). Emotional self-reference: brain structures involved in the processing of words describing one’s own emotions. Neuropsychologia. doi: 10.1016/j.neuropsychologia.2011.06.026. [DOI] [PubMed] [Google Scholar]
- Herrmann M.J., Beier J.S., Simons B., Polak T. (2016). Transcranial direct current stimulation (tDCS) of the right inferior frontal Gyrus attenuates skin conductance responses to unpredictable threat conditions. Frontiers in Human Neuroscience, 10, 1–6. doi: 10.3389/fnhum.2016.00352. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Herrmann M.J., Simons B.S.E., Horst A.K., Boehme S., Straube T., Polak T. (2018). Modulation of sustained fear by transcranial direct current stimulation (tDCS) of the right inferior frontal cortex (rIFC). Biological Psychology, 139, 173–7. doi: 10.1016/j.biopsycho.2018.10.013. [DOI] [PubMed] [Google Scholar]
- Higgins J.P.T., Green S. (2011). Cochrane Handbook for systematic reviews of interventions version 5.1.0 [updated March 2011] In: The Cochrane Collaboration: Cochrane Book Series. Chichester, UK: John Wiley & Sons, Ltd. Available: 10.1002/9780470712184. [DOI]
- Hill A.T., Fitzgerald P.B., Hoy K.E. (2016). Effects of anodal transcranial direct current stimulation on working memory: a systematic review and meta-analysis of findings from healthy and neuropsychiatric populations. Brain Stimulation, 9, 197–208. doi: 10.1016/j.brs.2015.10.006. [DOI] [PubMed] [Google Scholar]
- Hoffmann H., Scheck A., Schuster T., et al. (2012). Mapping discrete emotions into the dimensional space: an empirical approach, In: 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 3316–3320. doi: 10.1109/ICSMC.2012.6378303. [DOI] [Google Scholar]
- Hofman D., Schutter D.J.L.G. (2012). Asymmetrical frontal resting-state beta oscillations predict trait aggressive tendencies and behavioral inhibition. Social Cognitive and Affective Neuroscience, 7, 850–7. doi: 10.1093/scan/nsr060. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hortensius R., Schutter D.J.L.G., Harmon-Jones E. (2012). When anger leads to aggression: induction of relative left frontal cortical activity with transcranial direct current stimulation increases the anger–aggression relationship. Social Cognitive and Affective Neuroscience, 7, 342–7. doi: 10.1093/scan/nsr012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hoy K.E., Emonson M.R.L., Arnold S.L., Thomson R.H., Daskalakis Z.J., Fitzgerald P.B. (2013). Testing the limits: investigating the effect of tDCS dose on working memory enhancement in healthy controls. Neuropsychologia, 51, 1777–84. doi: 10.1016/j.neuropsychologia.2013.05.018. [DOI] [PubMed] [Google Scholar]
- Hsu T.-Y., Juan C.-H., Tseng P. (2016). Individual differences and state-dependent responses in transcranial direct current stimulation. Frontiers in Human Neuroscience, 10, 643. doi: 10.3389/fnhum.2016.00643. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Huang Y.-Z., Edwards M.J., Rounis E., Bhatia K.P., Rothwell J.C. (2005). Theta burst stimulation of the human motor cortex. Neuron, 45, 201–6. doi: 10.1016/j.neuron.2004.12.033. [DOI] [PubMed] [Google Scholar]
- Huang Y.-Z., Lu M.-K., Antal A., et al. (2017). Plasticity induced by non-invasive transcranial brain stimulation: a position paper. Clinical Neurophysiology, 128, 2318–29. doi: 10.1016/j.clinph.2017.09.007. [DOI] [PubMed] [Google Scholar]
- Hurlemann R., Arndt S., Schlaepfer T.E., Reul J., Maier W., Scheele D. (2015). Diminished appetitive startle modulation following targeted inhibition of prefrontal cortex. Scientific Reports, 5, 8954. doi: 10.1038/srep08954. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hurley R., Machado L. (2018). Using transcranial direct current stimulation to improve verbal working memory: a detailed review of the methodology. Journal of Clinical and Experimental Neuropsychology, 40, 790–804. doi: 10.1080/13803395.2018.1434133. [DOI] [PubMed] [Google Scholar]
- Isserles M., Shalev A.Y., Roth Y., et al. (2013). Effectiveness of deep transcranial magnetic stimulation combined with a brief exposure procedure in post-traumatic stress disorder-a pilot study. Brain Stimulation, 6, 377–83. doi: 10.1016/j.brs.2012.07.008. [DOI] [PubMed] [Google Scholar]
- Jacobson L., Koslowsky M., Lavidor M. (2012). tDCS polarity effects in motor and cognitive domains: a meta-analytical review. Experimental Brain Research, 216, 1–10. doi: 10.1007/s00221-011-2891-9. [DOI] [PubMed] [Google Scholar]
- Janik A.B., Rezlescu C., Banissy M.J. (2015). Enhancing anger perception with transcranial alternating current stimulation induced gamma oscillations. Brain Stimulation, 8, 1138–43. doi: 10.1016/j.brs.2015.07.032. [DOI] [PubMed] [Google Scholar]
- Jannati A., Block G., Oberman L.M., Rotenberg A., Pascual-Leone A. (2017). Interindividual variability in response to continuous theta-burst stimulation in healthy adults. Clinical Neurophysiology, 128, 2268–78. doi: 10.1016/j.clinph.2017.08.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jansen J.M., Schluter R.S., Goudriaan A.E., van Holst R.J., van den Brink W. (2017). Differential effects of left and right prefrontal high-frequency repetitive transcranial magnetic stimulation on resting-state functional magnetic resonance imaging in healthy individuals. Brain Connectivity, 8, 60–7. doi: 10.1089/brain.2017.0542. [DOI] [PubMed] [Google Scholar]
- Jansen J.M., Van Den O.A., Van Der Y.D., et al. (2019). The effect of high-frequency repetitive transcranial magnetic stimulation on emotion processing, reappraisal, and craving in alcohol use disorder patients and healthy controls: a functional magnetic resonance imaging study. Frontiers in Psychiatry, 10, 272. doi: 10.3389/fpsyt.2019.00272. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jung S.H., Shin J.E., Jeong Y.S., Shin H.I. (2008). Changes in motor cortical excitability induced by high-frequency repetitive transcranial magnetic stimulation of different stimulation durations. Clinical Neurophysiology, 119, 71–9. doi: 10.1016/j.clinph.2007.09.124. [DOI] [PubMed] [Google Scholar]
- Kelley N.J., Eastwick P.W., Harmon-Jones E., Schmeichel B.J. (2015). Jealousy increased by induced relative left frontal cortical activity. Emotion, 15, 550–5. doi: 10.1037/emo0000068. [DOI] [PubMed] [Google Scholar]
- Kelly M., McDonald S., Rushby J. (2012). All alone with sweaty palms—physiological arousal and ostracism. International Journal of Psychophysiology, 83, 309–14. doi: 10.1016/j.ijpsycho.2011.11.008. [DOI] [PubMed] [Google Scholar]
- Keuper K., Terrighena E.L., Chan C.C.H., Junghoefer M., Lee T.M.C. (2018). How the dorsolateral prefrontal cortex controls affective processing in absence of visual awareness—insights from a combined EEG-rTMS study. Frontiers in Human Neuroscience, 12, 412. doi: 10.3389/fnhum.2018.00412. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kim M.J., Loucks R.a., Palmer A.L., et al. (2011). The structural and functional connectivity of the amygdala: from normal emotion to pathological anxiety. Behavioural Brain Research, 223, 403–10. doi: 10.1016/j.bbr.2011.04.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kirschbaum C., Pirke K.-M., Hellhammer D.H. (1993). The ‘trier social stress test’—a tool for investigating psychobiological stress responses in a laboratory setting. Neuropsychobiology, 28, 76–81. doi: 10.1159/000119004. [DOI] [PubMed] [Google Scholar]
- Koenigs M., Ukueberuwa D., Campion P., Grafman J., Wassermann E. (2009). Bilateral frontal transcranial direct current stimulation: failure to replicate classic findings in healthy subjects. Clinical Neurophysiology, 120, 80–4. doi: 10.1016/j.clinph.2008.10.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kohler C.G., Hoffman L.J., Eastman L.B., Healey K., Moberg P.J. (2011). Facial emotion perception in depression and bipolar disorder: a quantitative review. Psychiatry Research, 188, 303–9. doi: 10.1016/j.psychres.2011.04.019. [DOI] [PubMed] [Google Scholar]
- Kohn N., Eickhoff S.B., Scheller M., Laird A.R., Fox P.T., Habel U. (2014). Neural network of cognitive emotion regulation—an ALE meta-analysis and MACM analysis. NeuroImage, 87, 345–55. doi: 10.1016/j.neuroimage.2013.11.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Koslov K., Mendes W.B., Pajtas P.E., Pizzagalli D.A. (2011). Asymmetry in resting Intracortical activity as a buffer to social threat. Psychological Science, 22, 641–9. doi: 10.1177/0956797611403156. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kozel F.A., Motes M.A., Didehbani N., et al. (2018). Repetitive TMS to augment cognitive processing therapy in combat veterans of recent conflicts with PTSD: a randomized clinical trial. Journal of Affective Disorders, 229, 506–14. doi: 10.1016/j.jad.2017.12.046. [DOI] [PubMed] [Google Scholar]
- Kreibig S.D. (2010). Autonomic nervous system activity in emotion: a review. Biological Psychology, 84, 394–421. doi: 10.1016/j.biopsycho.2010.03.010. [DOI] [PubMed] [Google Scholar]
- Kreibig S.D., Wilhelm F.H., Roth W.T., Gross J.J. (2007). Cardiovascular, electrodermal, and respiratory response patterns to fear- and sadness-inducing films. Psychophysiology, 44, 787–806. doi: 10.1111/j.1469-8986.2007.00550.x. [DOI] [PubMed] [Google Scholar]
- Kronberg G., Bridi M., Abel T., Bikson M., Parra L.C. (2017). Direct current stimulation modulates LTP and LTD: activity dependence and dendritic effects. Brain Stimulation, 10, 51–8. doi: 10.1016/j.brs.2016.10.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kuo M.F., Nitsche M.A. (2015). Exploring prefrontal cortex functions in healthy humans by transcranial electrical stimulation. Neuroscience Bulletin, 31, 198–206. doi: 10.1007/s12264-014-1501-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lafon B., Rahman A., Bikson M., Parra L.C. (2017). Direct current stimulation alters neuronal input/output function. Brain Stimulation, 10, 36–45. doi: 10.1016/j.brs.2016.08.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lage C., Wiles K., Shergill S.S., Tracy D.K. (2016). A systematic review of the effects of low-frequency repetitive transcranial magnetic stimulation on cognition. Journal of Neural Transmission, 123, 1479–90. doi: 10.1007/s00702-016-1592-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lang P.J., Bradley M.M., Cuthbert B.N. (1997). International Affective Picture System (IAPS): Technical Manual and Affective Ratings, Atten: NIMH Cent. Study Emot. [Google Scholar]
- Lang P.J., Greenwald M.K., Bradley M.M., Hamm A.O. (1993). Looking at pictures: affective, facial, visceral, and behavioral reactions. Psychophysiology, 30, 261–73. doi: 10.1111/j.1469-8986.1993.tb03352.x. [DOI] [PubMed] [Google Scholar]
- Langner R., Leiberg S., Hoffstaedter F., Eickhoff S.B. (2018). Towards a human self-regulation system: common and distinct neural signatures of emotional and behavioural control. Neuroscience and Biobehavioral Reviews, 90, 400–10. doi: 10.1016/j.neubiorev.2018.04.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lantrip C., Gunning F.M., Flashman L., Roth R.M., Holtzheimer P.E. (2017). Effects of transcranial magnetic stimulation on the cognitive control of emotion: potential antidepressant mechanisms. The Journal of ECT, 33, 73–80. doi: 10.1097/YCT.0000000000000386. [DOI] [PubMed] [Google Scholar]
- Lea R.G., Davis S.K., Mahoney B., Qualter P. (2019). Does emotional intelligence buffer the effects of acute stress? A systematic review. Frontiers in Psychology, 10, 810. doi: 10.3389/fpsyg.2019.00810. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lejuez C.W., Kahler, Cristopher W., Brown R.A. (2003). A modified computer version of the paced auditory serial addition task (PASAT) as a laboratory-based stressor. Behavior Therapy. 26, 290–293. [Google Scholar]
- Levasseur-Moreau J., Fecteau S. (2012). Translational application of neuromodulation of decision-making. Brain Stimulation, 5, 77–83. doi: 10.1016/j.brs.2012.03.009. [DOI] [PubMed] [Google Scholar]
- Li C.-T., Hsieh J.-C., Huang H.-H., et al. (2016). Cognition-modulated frontal activity in prediction and augmentation of antidepressant efficacy: a randomized controlled pilot study. Cerebral Cortex, 26, 202–10. doi: 10.1093/cercor/bhu191. [DOI] [PubMed] [Google Scholar]
- Liebetanz D. (2002). Pharmacological approach to the mechanisms of transcranial DC-stimulation-induced after-effects of human motor cortex excitability. Brain, 125, 2238–47. doi: 10.1093/brain/awf238. [DOI] [PubMed] [Google Scholar]
- Lipp O.V. (2006). Human fear learning: Contemporary procedures and measurement In: Fear and Learning: From Basic Processes to Clinical Implications, pp. 37–51, American Psychological Association. doi: 10.1037/11474-002. [DOI]
- Ludwig H., Moliadze V., Thirugnanasambandam N., et al. (2010). Brain-derived neurotrophic factor (BDNF) gene polymorphisms shape cortical plasticity in humans. Brain Stimulation, 3, 230–7. doi: 10.1016/j.brs.2009.12.003. [DOI] [PubMed] [Google Scholar]
- MacNamara A., Rabinak C.A., Kennedy A.E., et al. (2016). Emotion regulatory brain function and SSRI treatment in PTSD: neural correlates and predictors of change. Neuropsychopharmacology, 41, 611–8. doi: 10.1038/npp.2015.190. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Maeda F., Keenan J.P., Tormos J.M., Topka H., Pascual-Leone A. (2000). Modulation of corticospinal excitability by repetitive transcranial magnetic stimulation. Clinical Neurophysiology, 111, 800–5. doi: 10.1016/S1388-2457(99)00323-5. [DOI] [PubMed] [Google Scholar]
- Maeoka H., Matsuo A., Hiyamizu M., Morioka S., Ando H. (2012). Influence of transcranial direct current stimulation of the dorsolateral prefrontal cortex on pain related emotions: a study using electroencephalographic power spectrum analysis. Neuroscience Letters, 512, 12–6. doi: 10.1016/j.neulet.2012.01.037. [DOI] [PubMed] [Google Scholar]
- Makovac E., Thayer J.F., Ottaviani C. (2017). A meta-analysis of non-invasive brain stimulation and autonomic functioning: implications for brain-heart pathways to cardiovascular disease. Neuroscience and Biobehavioral Reviews, 74, 330–41. doi: 10.1016/j.neubiorev.2016.05.001. [DOI] [PubMed] [Google Scholar]
- Manber Ball T., Ramsawh H.J., Campbell-Sills L., Paulus M.P., Stein M.B. (2013). Prefrontal dysfunction during emotion regulation in generalized anxiety and panic disorders. Psychological Medicine, 43, 1475–86. doi: 10.1017/S0033291712002383. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mancuso L.E., Ilieva I.P., Hamilton R.H., Farah M.J. (2016). Does transcranial direct current stimulation improve healthy working memory?: a meta-analytic review. Journal of Cognitive Neuroscience, 28, 1063–89. doi: 10.1162/jocn_a_00956. [DOI] [PubMed] [Google Scholar]
- Mantovani A., Aly M., Dagan Y., Allart A., Lisanby S.H. (2013). Randomized sham controlled trial of repetitive transcranial magnetic stimulation to the dorsolateral prefrontal cortex for the treatment of panic disorder with comorbid major depression. Journal of Affective Disorders, 144, 153–9. doi: 10.1016/j.jad.2012.05.038. [DOI] [PubMed] [Google Scholar]
- Marin M.F., Camprodon J.a., Dougherty D.D., Milad M.R. (2014). Device-based brain stimulation to augment fear extinction: implications for ptsd treatment and beyond. Depression and Anxiety, 31, 269–78. doi: 10.1002/da.22252. [DOI] [PubMed] [Google Scholar]
- Marques L.M., Morello L.Y.N., Boggio P.S. (2018). Ventrolateral but not dorsolateral prefrontal cortex tDCS effectively impact emotion reappraisal—effects on emotional experience and Interbeat interval. Scientific Reports, 8, 15295. doi: 10.1038/s41598-018-33711-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Martin D.M., Liu R., Alonzo A., Green M., Loo C.K. (2014). Use of transcranial direct current stimulation (tDCS) to enhance cognitive training: effect of timing of stimulation. Experimental Brain Research, 232, 3345–51. doi: 10.1007/s00221-014-4022-x. [DOI] [PubMed] [Google Scholar]
- Martin D.M., Liu R., Alonzo A., et al. (2013). Can transcranial direct current stimulation enhance outcomes from cognitive training? A randomized controlled trial in healthy participants. The International Journal of Neuropsychopharmacology, 16, 1927–36. doi: 10.1017/S1461145713000539. [DOI] [PubMed] [Google Scholar]
- Martin D.M., McClintock S.M., Forster J., Loo C.K. (2016). Does therapeutic repetitive transcranial magnetic stimulation cause cognitive enhancing effects in patients with neuropsychiatric conditions? A systematic review and meta-analysis of randomised controlled trials. Neuropsychology Review, 26, 295–309. doi: 10.1007/s11065-016-9325-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Martin D.M., McClintock S.M., Forster J.J., Lo T.Y., Loo C.K. (2017). Cognitive enhancing effects of rTMS administered to the prefrontal cortex in patients with depression: a systematic review and meta-analysis of individual task effects. Depression and Anxiety, 34, 1029–39. doi: 10.1002/da.22658. [DOI] [PubMed] [Google Scholar]
- Maruyama Y., Kawano A., Okamoto S., et al. (2012). Differences in salivary alpha-amylase and cortisol responsiveness following exposure to electrical stimulation versus the trier social stress tests. PLoS One, 7, e39375. doi: 10.1371/journal.pone.0039375. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mauss I.B., Robinson M.D. (2009). Measures of emotion: a review. Cognition & Emotion, 23, 209–37. doi: 10.1080/02699930802204677. [DOI] [PMC free article] [PubMed] [Google Scholar]
- McClintock S.M., Reti I.M., Carpenter L.L., et al. (2018). Consensus recommendations for the clinical application of repetitive transcranial magnetic stimulation (rTMS) in the treatment of depression. The Journal of Clinical Psychiatry, 79, 35–48. doi: 10.4088/JCP.16cs10905. [DOI] [PMC free article] [PubMed] [Google Scholar]
- McConathey E.M., White N.C., Gervits F., et al. (2017). Baseline performance predicts tDCS-mediated improvements in language symptoms in primary progressive aphasia. Frontiers in Human Neuroscience, 11, 347. doi: 10.3389/fnhum.2017.00347. [DOI] [PMC free article] [PubMed] [Google Scholar]
- McEwen B.S. (1998). Stress, adaptation, and disease: allostasis and allostatic load. Annals of the New York Academy of Sciences, 840, 33–44. doi: 10.1111/j.1749-6632.1998.tb09546.x. [DOI] [PubMed] [Google Scholar]
- McEwen B.S., Morrison J.H. (2013). The brain on stress: vulnerability and plasticity of the prefrontal cortex over the life course. Neuron, 79, 16–29. doi: 10.1016/j.neuron.2013.06.028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- McLaughlin K.A., Kubzansky L.D., Dunn E.C., Waldinger R., Vaillant G., Koenen K.C. (2010). Childhood social environment, emotional reactivity to stress, and mood and anxiety disorders across the life course. Depression and Anxiety, 27, 1087–94. doi: 10.1002/da.20762. [DOI] [PMC free article] [PubMed] [Google Scholar]
- McNair D., Maurice L., Droppleman L. (1971). Manual Profile of Mood States, San Diego, CA: Educational and Industrial Testing Service. [Google Scholar]
- Meyer T., Quaedflieg C.W.E.M., Weijland K., Schruers K., Merckelbach H., Smeets T. (2018). Frontal EEG asymmetry during symptom provocation predicts subjective responses to intrusions in survivors with and without PTSD. Psychophysiology, 55, e12779. doi: 10.1111/psyp.12779. [DOI] [PubMed] [Google Scholar]
- Möbius M., Lacomblé L., Meyer T., et al. (2017). Repetitive transcranial magnetic stimulation modulates the impact of a negative mood induction. Social Cognitive and Affective Neuroscience, 12, 526–33. doi: 10.1093/scan/nsw180. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Moeyaert M., Ugille M., Natasha Beretvas S., Ferron J., Bunuan R., Van den Noortgate W. (2017). Methods for dealing with multiple outcomes in meta-analysis: a comparison between averaging effect sizes, robust variance estimation and multilevel meta-analysis. International Journal of Social Research Methodology, 20, 559–72. doi: 10.1080/13645579.2016.1252189. [DOI] [Google Scholar]
- Moher D., Shamseer L., Clarke M., et al. (2015). Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Systematic Reviews, 4, 1. doi: 10.1186/2046-4053-4-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mondino M., Thiffault F., Fecteau S. (2015). Does non-invasive brain stimulation applied over the dorsolateral prefrontal cortex non-specifically influence mood and emotional processing in healthy individuals? Frontiers in Cellular Neuroscience, 9, 399. doi: 10.3389/fncel.2015.00399. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Monte-Silva K., Kuo M.-F., Hessenthaler S., et al. (2013). Induction of late LTP-like plasticity in the human motor cortex by repeated non-invasive brain stimulation. Brain Stimulation, 6, 424–32. doi: 10.1016/j.brs.2012.04.011. [DOI] [PubMed] [Google Scholar]
- Morawetz C., Bode S., Derntl B., Heekeren H.R. (2017). The effect of strategies, goals and stimulus material on the neural mechanisms of emotion regulation: a meta-analysis of fMRI studies. Neuroscience and Biobehavioral Reviews, 72, 111–28. doi: 10.1016/j.neubiorev.2016.11.014. [DOI] [PubMed] [Google Scholar]
- Moreno M.L., Vanderhasselt M.-A., Carvalho A.F., Moffa A.H., Lotufo P.A., Benseñor I.M., Brunoni A.R. (2015). Effects of acute transcranial direct current stimulation in hot and cold working memory tasks in healthy and depressed subjects. Neuroscience Letters, 591, 126–31. doi: 10.1016/j.neulet.2015.02.036. [DOI] [PubMed] [Google Scholar]
- Mosayebi Samani M., Agboada D., Jamil A., Kuo M.-F., Nitsche M.A. (2019). Titrating the neuroplastic effects of cathodal transcranial direct current stimulation (tDCS) over the primary motor cortex. Cortex, 119, 350–61. doi: 10.1016/J.CORTEX.2019.04.016. [DOI] [PubMed] [Google Scholar]
- Mottaghy F.M., Pascual-Leone A., Kemna L.J., et al. (2003). Modulation of a brain–behavior relationship in verbal working memory by rTMS. Cognitive Brain Research, 15, 241–9. doi: 10.1016/S0926-6410(02)00196-9. [DOI] [PubMed] [Google Scholar]
- Mungee A., Burger M., Bajbouj M. (2016). No effect of cathodal transcranial direct current stimulation on fear memory in healthy human subjects. Brain Sciences, 6, 55. doi: 10.3390/brainsci6040055. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mungee A., Kazzer P., Feeser M., Nitsche M.A., Schiller D., Bajbouj M. (2014). Transcranial direct current stimulation of the prefrontal cortex: a means to modulate fear memories. Neuroreport, 25, 480–4. doi: 10.1097/WNR.0000000000000119. [DOI] [PubMed] [Google Scholar]
- Nitsche M.A., Koschack J., Pohlers H., Hullemann S., Paulus W., Happe S. (2012). Effects of frontal transcranial direct current stimulation on emotional state and processing in healthy humans. Frontiers in Psychiatry, 3, 58. doi: 10.3389/fpsyt.2012.00058. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nitsche M.A., Paulus W. (2000). Excitability changes induced in the human motor cortex by weak transcranial direct current stimulation. The Journal of Physiology, 527, 633–9. doi: 10.1111/j.1469-7793.2000.t01-1-00633.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Notzon S., Deppermann S., Fallgatter A., et al. (2015). Psychophysiological effects of an iTBS modulated virtual reality challenge including participants with spider phobia. Biological Psychology, 112, 66–76. doi: 10.1016/j.biopsycho.2015.10.003. [DOI] [PubMed] [Google Scholar]
- Notzon S., Steinberg C., Zwanzger P., Junghöfer M. (2018). Modulating emotion perception: opposing effects of inhibitory and excitatory prefrontal cortex stimulation. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 3, 329–36. doi: 10.1016/j.bpsc.2017.12.007. [DOI] [PubMed] [Google Scholar]
- Ochsner K.N., Silvers J.A., Buhle J.T. (2012). Functional imaging studies of emotion regulation: a synthetic review and evolving model of the cognitive control of emotion. Annals of the New York Academy of Sciences, 1251, E1–24. doi: 10.1111/j.1749-6632.2012.06751.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Orasanu J.M., Backer P. (1996). Stress and military performance In: Stress and Human Performance, Mahwah, NJ: Erlbaum, pp. 89–125. [Google Scholar]
- Osuch E.A., Benson B.E., Luckenbaugh D.A., Geraci M., Post R.M., McCann U. (2009). Repetitive TMS combined with exposure therapy for PTSD: a preliminary study. Journal of Anxiety Disorders, 23, 54–9. doi: 10.1016/j.janxdis.2008.03.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ottowitz W.E., Dougherty D.D., Sirota A., Niaura R., Rauch S.L., Brown W.A. (2004). Neural and endocrine correlates of sadness in women: implications for neural network regulation of HPA activity. The Journal of Neuropsychiatry and Clinical Neurosciences, 16, 446–55. doi: 10.1176/jnp.16.4.446. [DOI] [PubMed] [Google Scholar]
- Paulus W. (2011). Transcranial electrical stimulation (tES—tDCS; tRNS, tACS) methods. Neuropsychological Rehabilitation, 21, 602–17. doi: 10.1080/09602011.2011.557292. [DOI] [PubMed] [Google Scholar]
- Pell G.S., Roth Y., Zangen A. (2011). Modulation of cortical excitability induced by repetitive transcranial magnetic stimulation: influence of timing and geometrical parameters and underlying mechanisms. Progress in Neurobiology, 93, 59–98. doi: 10.1016/j.pneurobio.2010.10.003. [DOI] [PubMed] [Google Scholar]
- Peña-Gómez C., Vidal-Piñeiro D., Clemente I.C., Pascual-Leone Á., Bartrés-Faz D. (2011). Down-regulation of negative emotional processing by transcranial direct current stimulation: effects of personality characteristics. PLoS One, 6, e22812. doi: 10.1371/journal.pone.0022812. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Phan K.L., Wager T., Taylor S.F., Liberzon I. (2002). Functional neuroanatomy of emotion: a meta-analysis of emotion activation studies in PET and fMRI. NeuroImage, 16, 331–48. doi: 10.1006/nimg.2002.1087. [DOI] [PubMed] [Google Scholar]
- Philip N.S., Ridout S.J., Albright S.E., Sanchez G., Carpenter L.L. (2016). 5-Hz transcranial magnetic stimulation for comorbid posttraumatic stress disorder and major depression. Journal of Traumatic Stress, 29, 93–6. doi: 10.1002/jts.22065. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Phillips M.L., Drevets W.C., Rauch S.L., Lane R. (2003). Neurobiology of emotion perception I: the neural basis of normal emotion perception. Biological Psychiatry, 54, 504–14. doi: 10.1016/S0006-3223(03)00168-9. [DOI] [PubMed] [Google Scholar]
- Pisoni A., Mattavelli G., Papagno C., Rosanova M., Casali A.G., Romero Lauro L.J. (2018). Cognitive enhancement induced by anodal tDCS drives circuit-specific cortical plasticity. Cerebral Cortex, 28, 1132–40. doi: 10.1093/cercor/bhx021. [DOI] [PubMed] [Google Scholar]
- Plewnia C., Schroeder P.A., Kunze R., Faehling F., Wolkenstein L. (2015). Keep calm and carry on: improved frustration tolerance and processing speed by transcranial direct current stimulation (tDCS). PLoS One, 10, e0122578. doi: 10.1371/journal.pone.0122578. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Prasko J., Záleský R., Bares M., et al. (2007). The effect of repetitive transcranial magnetic stimulation (rTMS) add on serotonin reuptake inhibitors in patients with panic disorder: a randomized, double blind sham controlled study. Neuro Endocrinology Letters, 28, 33–8. [PubMed] [Google Scholar]
- Preston G., Anderson E., Silva C., Goldberg T., Wassermann E.M. (2010). Effects of 10 Hz rTMS on the neural efficiency of working memory. Journal of Cognitive Neuroscience, 22, 447–56. doi: 10.1162/jocn.2009.21209. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Priori A., Hallett M., Rothwell J.C. (2009). Repetitive transcranial magnetic stimulation or transcranial direct current stimulation? Brain Stimulation, 2, 241–5. doi: 10.1016/j.brs.2009.02.004. [DOI] [PubMed] [Google Scholar]
- Pripfl J., Neumann R., Köhler U., Lamm C. (2013). Effects of transcranial direct current stimulation on risky decision making are mediated by ‘hot’ and ‘cold’ decisions, personality, and hemisphere. The European Journal of Neuroscience, 38, 3778–85. doi: 10.1111/ejn.12375. [DOI] [PubMed] [Google Scholar]
- Pustejovsky J., 2018. clubSandwich: Cluster-Robust (Sandwich) variance estimators with small-sample corrections . Available:https://CRAN.R-project.org/package=clubSandwich R package version 0.3.2.
- Quaedflieg C.W.E.M., Meyer T., Smulders F.T.Y., Smeets T. (2015). The functional role of individual-alpha based frontal asymmetry in stress responding. Biological Psychology, 104, 75–81. doi: 10.1016/j.biopsycho.2014.11.014. [DOI] [PubMed] [Google Scholar]
- Quigley K.S., Lindquist K.A., Barrett L.F. (2013). Inducing and measuring emotion and affect: tips, tricks, and secrets. Handbook of Research Methods in Personality Psychology. doi: 10.1017/CBO9780511996481.014. [DOI] [Google Scholar]
- R Core Team (2019). R: A language and environment for statistical computing (R version 3.6.1). R Foundation for Statistical Computing, Vienna, Austria: Available: URL https://www.R-project.org/. [Google Scholar]
- Radley J., Morilak D., Viau V., Campeau S. (2015). Chronic stress and brain plasticity: mechanisms underlying adaptive and maladaptive changes and implications for stress-related CNS disorders. Neuroscience and Biobehavioral Reviews, 58, 79–91. doi: 10.1016/j.neubiorev.2015.06.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Regehr C., LeBlanc V.R. (2017). PTSD, acute stress, performance and decision-making in emergency service workers. The Journal of the American Academy of Psychiatry and the Law, 45, 184–92. [PubMed] [Google Scholar]
- Rêgo G.G., Lapenta O.M., Marques L.M., et al. (2015). Hemispheric dorsolateral prefrontal cortex lateralization in the regulation of empathy for pain. Neuroscience Letters, 594, 12–6. doi: 10.1016/j.neulet.2015.03.042. [DOI] [PubMed] [Google Scholar]
- Remue J., Baeken C., De Raedt R. (2016a). Does a single neurostimulation session really affect mood in healthy individuals? A systematic review. Neuropsychologia, 85, 184–98. doi: 10.1016/j.neuropsychologia.2016.03.012. [DOI] [PubMed] [Google Scholar]
- Remue J., Vanderhasselt M.A., Baeken C., Rossi V., Tullo J., De Raedt R. (2016b). The effect of a single HF-rTMS session over the left DLPFC on the physiological stress response as measured by heart rate variability. Neuropsychology, 30, 756–66. doi: 10.1037/neu0000255. [DOI] [PubMed] [Google Scholar]
- Ridding M.C., Ziemann U. (2010). Determinants of the induction of cortical plasticity by non-invasive brain stimulation in healthy subjects. The Journal of Physiology, 588, 2291–304. doi: 10.1113/jphysiol.2010.190314. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Riva P., Romero Lauro L.J., DeWall C.N., Bushman B.J. (2012). Buffer the pain away. Psychological Science, 23, 1473–5. doi: 10.1177/0956797612450894. [DOI] [PubMed] [Google Scholar]
- Riva P., Romero Lauro L.J., Vergallito A., DeWall C.N., Bushman B.J. (2015). Electrified emotions: modulatory effects of transcranial direct stimulation on negative emotional reactions to social exclusion. Social Neuroscience, 10, 46–54. doi: 10.1080/17470919.2014.946621. [DOI] [PubMed] [Google Scholar]
- Root J.C., Tuescher O., Cunningham-Bussel A., et al. (2009). Frontolimbic function and cortisol reactivity in response to emotional stimuli. Neuroreport, 20, 429–34. doi: 10.1097/WNR.0b013e328326a031. [DOI] [PubMed] [Google Scholar]
- Roth Y., Padberg F., Zangen A., 2007. Transcranial magnetic stimulation of deep brain regions: Principles and methods, In: Advances in Biological Psychiatry. Basel: Karger, pp. 204–24. doi: 10.1159/000101039 [DOI] [Google Scholar]
- Schaefer A., Nils F., Philippot P., Sanchez X. (2010). Assessing the effectiveness of a large database of emotion-eliciting films: a new tool for emotion researchers. Cognition & Emotion, 24, 1153–72. doi: 10.1080/02699930903274322. [DOI] [Google Scholar]
- Schmeichel B.J., Volokhov R.N., Demaree H.A. (2008). Working memory capacity and the self-regulation of emotional expression and experience. Journal of Personality and Social Psychology, 95, 1526–40. doi: 10.1037/a0013345. [DOI] [PubMed] [Google Scholar]
- Schroeder P.A., Ehlis A.-C., Wolkenstein L., Fallgatter A.J., Plewnia C. (2015). Emotional distraction and bodily reaction: modulation of autonomous responses by anodal tDCS to the prefrontal cortex. Frontiers in Cellular Neuroscience, 9, 482. doi: 10.3389/fncel.2015.00482. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Schutter D.J., van Honk J., d’Alfonso A.A., Postma A., de Haan E.H. (2001). Effects of slow rTMS at the right dorsolateral prefrontal cortex on EEG asymmetry and mood. Neuroreport, 12, 445–7. [DOI] [PubMed] [Google Scholar]
- Schutter D.J.L.G. (2014). Syncing your brain: electric currents to enhance cognition. Trends in Cognitive Sciences, 18, 331–3. doi: 10.1016/j.tics.2014.02.011. [DOI] [PubMed] [Google Scholar]
- Schutter D.J.L.G. (2010). Quantitative review of the efficacy of slow-frequency magnetic brain stimulation in major depressive disorder. Psychological Medicine, 40, 1789–95. doi: 10.1017/S003329171000005X. [DOI] [PubMed] [Google Scholar]
- Schutter D.J.L.G., Martin Laman D., van Honk J., Vergouwen A.C., Koerselman G.F. (2009). Partial clinical response to 2 weeks of 2 Hz repetitive transcranial magnetic stimulation to the right parietal cortex in depression. The International Journal of Neuropsychopharmacology, 12, 643. doi: 10.1017/S1461145708009553. [DOI] [PubMed] [Google Scholar]
- Schutter D.J.L.G., van Honk J. (2009). The cerebellum in emotion regulation: a repetitive transcranial magnetic stimulation study. The Cerebellum, 8, 28–34. doi: 10.1007/s12311-008-0056-6. [DOI] [PubMed] [Google Scholar]
- Schutter D.J.L.G., van Honk J., Laman M., Vergouwen A.C., Koerselman F. (2010). Increased sensitivity for angry faces in depressive disorder following 2 weeks of 2-Hz repetitive transcranial magnetic stimulation to the right parietal cortex. The International Journal of Neuropsychopharmacology, 13, 1155–61. doi: 10.1017/S1461145710000660. [DOI] [PubMed] [Google Scholar]
- Schweizer S., Grahn J., Hampshire A., Mobbs D., Dalgleish T. (2013). Training the emotional brain: improving affective control through emotional working memory training. The Journal of Neuroscience, 33, 5301–11. doi: 10.1523/JNEUROSCI.2593-12.2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Segrave R.A., Arnold S., Hoy K., Fitzgerald P.B. (2014). Concurrent cognitive control training augments the antidepressant efficacy of tDCS: a pilot study. Brain Stimulation, 7, 325–31. doi: 10.1016/j.brs.2013.12.008. [DOI] [PubMed] [Google Scholar]
- Shafi M.M., Westover M.B., Fox M.D., Pascual-Leone A. (2012). Exploration and modulation of brain network interactions with noninvasive brain stimulation in combination with neuroimaging. The European Journal of Neuroscience, 35, 805–25. doi: 10.1111/j.1460-9568.2012.08035.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shields G.S., Sazma M.A., Yonelinas A.P. (2016). The effects of acute stress on core executive functions: a meta-analysis and comparison with cortisol. Neuroscience and Biobehavioral Reviews, 68, 651–68. doi: 10.1016/j.neubiorev.2016.06.038. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shiozawa P., Fregni F., Benseñor I.M., et al. (2014). Transcranial direct current stimulation for major depression: an updated systematic review and meta-analysis. The International Journal of Neuropsychopharmacology, 17, 1443–52. doi: 10.1017/S1461145714000418. [DOI] [PubMed] [Google Scholar]
- Sijtsema J.J., Shoulberg E.K., Murray-Close D. (2011). Physiological reactivity and different forms of aggression in girls: moderating roles of rejection sensitivity and peer rejection. Biological Psychology, 86, 181–92. doi: 10.1016/j.biopsycho.2010.11.007. [DOI] [PubMed] [Google Scholar]
- Simonsmeier B.A., Grabner R.H., Hein J., Krenz U., Schneider M. (2018). Electrical brain stimulation (tES) improves learning more than performance: a meta-analysis. Neuroscience and Biobehavioral Reviews, 84, 171–81. doi: 10.1016/j.neubiorev.2017.11.001. [DOI] [PubMed] [Google Scholar]
- Spielberger C.D., Gorsuch R.L., Lushene P.R., Vagg P.R., Jacobs A.G. (1970). Manual for the state-trait anxiety inventory, manual for the statetrait anxiety inventory STAI.
- Steele J.D., Lawrie S.M. (2004). Segregation of cognitive and emotional function in the prefrontal cortex: a stereotactic meta-analysis. NeuroImage, 21, 868–75. doi: 10.1016/j.neuroimage.2003.09.066. [DOI] [PubMed] [Google Scholar]
- Steinhardt M., Dolbier C. (2008). Evaluation of a resilience intervention to enhance coping strategies and protective factors and decrease symptomatology. Journal of American College Health, 56, 445–53. doi: 10.3200/JACH.56.44.445-454. [DOI] [PubMed] [Google Scholar]
- Steyer R., Schwenkmezger P., Notz P., Eid M. (2004). Development of the Multidimensional Mood State uestionnaire (MDBF). Primary Data. [translated title] (version 1), Trier Cent: Information ZPID. Res. Data Psychol. PsychData Leibniz Inst. Psychol. [Google Scholar]
- Storm H., Günther A., Sackey P.V., Bernhardsson J., Bjärtå A. (2019). Measuring pain—physiological and self-rated measurements in relation to pain stimulation and anxiety. Acta Anaesthesiologica Scandinavica, 63, 668–75. doi: 10.1111/aas.13323. [DOI] [PubMed] [Google Scholar]
- Sullivan R.M., Gratton A. (2002). Prefrontal cortical regulation of hypothalamic–pituitary–adrenal function in the rat and implications for psychopathology: side matters. Psychoneuroendocrinology, 27, 99–114. doi: 10.1016/S0306-4530(01)00038-5. [DOI] [PubMed] [Google Scholar]
- Swartz J.R., Knodt A.R., Radtke S.R., Hariri A.R. (2015). A neural biomarker of psychological vulnerability to future life stress. Neuron, 85, 505–11. doi: 10.1016/j.neuron.2014.12.055. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sylvester C.M., Corbetta M., Raichle M.E., et al. (2012). Functional network dysfunction in anxiety and anxiety disorders. Trends in Neurosciences, 35, 527–35. doi: 10.1016/j.tins.2012.04.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Teo J.T.H., Bentley G., Lawrence P., et al. (2014). Late cortical plasticity in motor and auditory cortex: role of met-allele in BDNF Val66Met polymorphism. The International Journal of Neuropsychopharmacology, 17, 705–13. doi: 10.1017/S1461145713001636. [DOI] [PubMed] [Google Scholar]
- Thibodeau R., Jorgensen R.S., Kim S. (2006). Depression, anxiety, and resting frontal EEG asymmetry: a meta-analytic review. Journal of Abnormal Psychology, 115, 715–29. doi: 10.1037/0021-843X.115.4.715. [DOI] [PubMed] [Google Scholar]
- Thielscher A., Antunes A., Saturnino G.B. (2015). Field modeling for transcranial magnetic stimulation: a useful tool to understand the physiological effects of TMS?, In: 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 222–5. doi: 10.1109/EMBC.2015.7318340. [DOI] [PubMed] [Google Scholar]
- Thut G., Bergmann T.O., Fröhlich F., et al. (2017). Guiding transcranial brain stimulation by EEG/MEG to interact with ongoing brain activity and associated functions: a position paper. Clinical Neurophysiology, 128, 843–57. doi: 10.1016/j.clinph.2017.01.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tipton E. (2015). Small sample adjustments for robust variance estimation with meta-regression. Psychological Methods, 20, 375–93. doi: 10.1037/met0000011. [DOI] [PubMed] [Google Scholar]
- Valero-Cabré A., Amengual J.L., Stengel C., Pascual-Leone A., Coubard O.A. (2017). Transcranial magnetic stimulation in basic and clinical neuroscience: a comprehensive review of fundamental principles and novel insights. Neuroscience and Biobehavioral Reviews, 83, 381–404. doi: 10.1016/j.neubiorev.2017.10.006. [DOI] [PubMed] [Google Scholar]
- van‘t Wout-Frank M., Shea M.T., Larson V.C., Greenberg B.D., Philip N.S. (2019). Combined transcranial direct current stimulation with virtual reality exposure for posttraumatic stress disorder: feasibility and pilot results. Brain Stimulation, 12, 41–3. doi: 10.1016/j.brs.2018.09.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- van‘t Wout M., Mariano T.Y., Garnaat S.L., Reddy M.K., Rasmussen S.A., Greenberg B.D. (2016). Can transcranial direct current stimulation augment extinction of conditioned fear? Brain Stimulation, 9, 529–36. doi: 10.1016/j.brs.2016.03.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- van Stegeren A.H., Wolf O.T., Kindt M. (2008). Salivary alpha amylase and cortisol responses to different stress tasks: impact of sex. International Journal of Psychophysiology, 69, 33–40. doi: 10.1016/j.ijpsycho.2008.02.008. [DOI] [PubMed] [Google Scholar]
- Vergallito A., Riva P., Pisoni A., Romero Lauro L.J. (2018). Modulation of negative emotions through anodal tDCS over the right ventrolateral prefrontal cortex. Neuropsychologia, 119, 128–35. doi: 10.1016/j.neuropsychologia.2018.07.037. [DOI] [PubMed] [Google Scholar]
- Verona E., Sadeh N., Curtin J.J. (2009). Stress-induced asymmetric frontal brain activity and aggression risk. Journal of Abnormal Psychology, 118, 131–45. doi: 10.1037/a0014376. [DOI] [PubMed] [Google Scholar]
- Via E., Fullana M.A., Goldberg X., et al. (2018). Ventromedial prefrontal cortex activity and pathological worry in generalised anxiety disorder. The British Journal of Psychiatry, 213, 437–43. doi: 10.1192/bjp.2018.65. [DOI] [PubMed] [Google Scholar]
- Vicario C.M., Salehinejad M.A., Felmingham K., Martino G., Nitsche M.A. (2019). A systematic review on the therapeutic effectiveness of non-invasive brain stimulation for the treatment of anxiety disorders. Neuroscience and Biobehavioral Reviews, 96, 219–31. doi: 10.1016/j.neubiorev.2018.12.012. [DOI] [PubMed] [Google Scholar]
- Viechtbauer W. (2012). Package ‘metafor.’ CRAN.
- Vierheilig N., Mühlberger A., Polak T., Herrmann M.J. (2016). Transcranial direct current stimulation of the prefrontal cortex increases attention to visual target stimuli. Journal of Neural Transmission, 123, 1195–203. doi: 10.1007/s00702-016-1542-5. [DOI] [PubMed] [Google Scholar]
- Voss M., Ehring T., Wolkenstein L. (2019). Does transcranial direct current stimulation affect Post-stressor intrusive memories and rumination? An experimental analogue study. Cognitive Therapy and Research, 1–15. doi: 10.1007/s10608-018-9976-8. [DOI] [Google Scholar]
- Wager T.D., Davidson M.L., Hughes B.L., Lindquist M.A., Ochsner K.N. (2008). Prefrontal-subcortical pathways mediating successful emotion regulation. Neuron, 59, 1037–50. doi: 10.1016/j.neuron.2008.09.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Watson D., Clark L.A., Tellegen A. (1988). Development and validation of brief measures of positive and negative affect: the PANAS scales. Journal of Personality and Social Psychology, 54, 1063–70. doi: 10.1037/0022-3514.54.6.1063. [DOI] [PubMed] [Google Scholar]
- Wheeler R.E., Davidson R.J., Tomarken A.J. (2007). Frontal brain asymmetry and emotional reactivity: a biological substrate of affective style. Psychophysiology, 30, 82–9. doi: 10.1111/j.1469-8986.1993.tb03207.x. [DOI] [PubMed] [Google Scholar]
- Williams K.D., Cheung C.K.T., Choi W. (2000). Cyberostracism: effects of being ignored over the internet. Journal of Personality and Social Psychology, 79, 748–62. doi: 10.1037/0022-3514.79.5.748. [DOI] [PubMed] [Google Scholar]
- Wischnewski M., Schutter D.J.L.G. (2015). Efficacy and time course of theta burst stimulation in healthy humans. Brain Stimulation, 8, 685–92. doi: 10.1016/j.brs.2015.03.004. [DOI] [PubMed] [Google Scholar]
- Yan T., Xie Q., Zheng Z., Zou K., Wang L. (2017). Different frequency repetitive transcranial magnetic stimulation (rTMS) for posttraumatic stress disorder (PTSD): a systematic review and meta-analysis. Journal of Psychiatric Research, 89, 125–35. doi: 10.1016/j.jpsychires.2017.02.021. [DOI] [PubMed] [Google Scholar]
- Zadro L., Williams K.D., Richardson R. (2004). How low can you go? Ostracism by a computer is sufficient to lower self-reported levels of belonging, control, self-esteem, and meaningful existence. Journal of Experimental Social Psychology, 40, 560–7. doi: 10.1016/j.jesp.2003.11.006. [DOI] [Google Scholar]
- Zaehle T., Sandmann P., Thorne J.D., Jäncke L., Herrmann C.S. (2011). Transcranial direct current stimulation of the prefrontal cortex modulates working memory performance: combined behavioural and electrophysiological evidence. BMC Neuroscience, 12, 2. doi: 10.1186/1471-2202-12-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zangen A., Roth Y., Voller B., Hallett M. (2005). Transcranial magnetic stimulation of deep brain regions: evidence for efficacy of the H-coil. Clinical Neurophysiology, 116, 775–9. doi: 10.1016/j.clinph.2004.11.008. [DOI] [PubMed] [Google Scholar]
- Zhang X., Bachmann P., Schilling T.M., Naumann E., Schächinger H., Larra M.F. (2018). Emotional stress regulation: the role of relative frontal alpha asymmetry in shaping the stress response. Biological Psychology, 138, 231–9. doi: 10.1016/j.biopsycho.2018.08.007. [DOI] [PubMed] [Google Scholar]
- Zilverstand A., Parvaz M.A., Goldstein R.Z. (2017). Neuroimaging cognitive reappraisal in clinical populations to define neural targets for enhancing emotion regulation. A systematic review. Neuroimage, 151, 105–16. doi: 10.1016/j.neuroimage.2016.06.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zwanzger P., Eser D., Völkel N., et al. (2007). Effects of repetitive transcranial magnetic stimulation (rTMS) on panic attacks induced by cholecystokinin-tetrapeptide (CCK-4). The International Journal of Neuropsychopharmacology, 10, 285–9. doi: 10.1017/S146114570600695X. [DOI] [PubMed] [Google Scholar]
- Zwanzger P., Fallgatter A.J., Zavorotnyy M., Padberg F. (2009). Anxiolytic effects of transcranial magnetic stimulation—an alternative treatment option in anxiety disorders? Journal of Neural Transmission, 116, 767–75. doi: 10.1007/s00702-008-0162-0. [DOI] [PubMed] [Google Scholar]
- Zwanzger P., Steinberg C., Rehbein M.A., et al. (2014). Inhibitory repetitive transcranial magnetic stimulation (rTMS) of the dorsolateral prefrontal cortex modulates early affective processing. NeuroImage, 101, 193–203. doi: 10.1016/j.neuroimage.2014.07 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
