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European Journal of Psychotraumatology logoLink to European Journal of Psychotraumatology
. 2023 Sep 21;14(2):2257435. doi: 10.1080/20008066.2023.2257435

Neurofeedback for post-traumatic stress disorder: systematic review and meta-analysis of clinical and neurophysiological outcomes

Neurofeedback para el trastorno de estrés postraumático: revisión sistemática y metanálisis de resultados clínicos y neurofisiológicos

创伤后应激障碍的神经反馈：临床和神经生理学结果的系统综述和元分析

Mirjana Askovic a,b,c,CONTACT, Nerissa Soh b, James Elhindi d, Anthony WF Harris b,c
PMCID: PMC10515677  PMID: 37732560

ABSTRACT

Background: Posttraumatic stress disorder (PTSD) is a debilitating condition affecting millions of people worldwide. Existing treatments often fail to address the complexity of its symptoms and functional impairments resulting from severe and prolonged trauma. Electroencephalographic Neurofeedback (NFB) has emerged as a promising treatment that aims to reduce the symptoms of PTSD by modulating brain activity.

Objective: We conducted a systematic review and meta-analysis of ten clinical trials to answer the question: how effective is NFB in addressing PTSD and other associated symptoms across different trauma populations, and are these improvements related to neurophysiological changes?

Method: The review followed the Preferred Reporting Items for Systematic Reviews and Meta analyses guidelines. We considered all published and unpublished randomised controlled trials (RCTs) and non-randomised studies of interventions (NRSIs) involving adults with PTSD as a primary diagnosis without exclusion by type of trauma, co-morbid diagnosis, locality, or sex. Ten controlled studies were included; seven RCTs and three NRSIs with a total number of participants n = 293 (128 male). Only RCTs were included in the meta-analysis (215 participants; 88 male).

Results: All included studies showed an advantage of NFB over control conditions in reducing symptoms of PTSD, with indications of improvement in symptoms of anxiety and depression and related neurophysiological changes. Meta-analysis of the pooled data shows a significant reduction in PTSD symptoms post-treatment SMD of −1.76 (95% CI −2.69, −0.83), and the mean remission rate was higher in the NFB group (79.3%) compared to the control group (24.4%). However, the studies reviewed were mostly small, with heterogeneous populations and varied quality.

Conclusions: The effect of NFB on the symptoms of PTSD was moderate and mechanistic evidence suggested that NFB leads to therapeutic changes in brain functioning. Future research should focus on more rigorous methodological designs, expanded sample size and longer follow-up.

KEYWORDS: Systematic review, meta-analysis, PTSD, efficacy, neurofeedback, trauma

HIGHLIGHTS

  • Neurofeedback (NFB) was found to have moderate beneficial effects on PTSD symptoms, and positive effects on secondary outcomes such as depression and anxiety, according to a meta-analysis of seven randomised controlled trials (RCTs).

  • The beneficial effects of NFB were observed across diverse populations, including those with different types of trauma (military and civilians) and from different ethnic backgrounds.

  • Results suggest that modulation of alpha rhythm might be a viable NFB protocol in patients with PTSD, as changes in neurophysiological functioning, such as connectivity in the Default Mode Network (DMN) and Salience Network (SN), were observed post-NFB and were correlated with a decrease in PTSD severity.

1. Introduction

Posttraumatic stress disorder (PTSD) is a debilitating mental health condition that affects people who have experienced traumatic or life-threatening events, including war experiences, sexual and physical assault, childhood abuse and neglect, witnessing violent harm, and natural disasters. PTSD is characterised by re-experiencing traumatic events, avoiding trauma-related stimuli, increased arousal, and negative alterations in mood and cognition (American Psychiatric Association, 2013), while exposure to severe and chronic trauma, as described in the ICD-11, can also lead to affect dysregulation, altered self-perception, and interpersonal disturbances (World Health Organization, 2019) as seen in Complex PTSD.

A cross-national lifetime prevalence of PTSD among trauma-exposed individuals is substantial (5.6%), with half of the reported global cases experiencing persistent symptoms (Koenen et al., 2017). Psychiatric comorbidities, such as depressive, generalised anxiety and alcohol use disorder, are common in PTSD (Walter et al., 2018), as are increased physical health issues (McFarlane, 2010; Pacella et al., 2013). PTSD can lead to increased direct health care and unemployment costs (Davis et al., 2023), and significant impairment in daily functioning (Jellestad et al., 2021).

In spite of the robust evidence for the effectiveness of trauma-focused psychological interventions for PTSD, such as prolonged exposure therapy, cognitive processing therapy, Eye Movement Desensitisation and Reprocessing (EMDR), and pharmacological interventions such as fluoxetine (Lewis et al., 2020; de Moraes Costa et al., 2020), the existing treatments for PTSD are only partially effective. A systematic review and meta-analysis by Varker et al. (2021) indicated high dropout rates (20.9%) for guideline recommended psychological PTSD treatments. Treatment effects were insufficient in addressing disturbances in self-organisation and emotional dysregulation, which are the core symptoms in those exposed to severe and cumulative traumas (Karatzias et al., 2019; Liddell et al., 2019). Poor self-regulation has been identified as one of the principal causes of failure of exposure-based treatments for PTSD (Coventry et al., 2020; Jaycox & Foa, 1996), suggesting a need for the development of more effective interventions.

Neuroscience research has provided important new insights into the brain mechanisms of PTSD, contributing to the development of new treatment approaches. Recent functional imaging studies show disruptions in intrinsic connectivity networks that contribute to the manifestation and maintenance of PTSD symptoms (Breukelaar et al., 2021; Terpou et al., 2020). Altered functioning of the major brain networks was associated with specific clinical symptoms observed in PTSD (Lanius et al., 2015), including cognitive dysfunction (Central Executive Network), increased and decreased arousal/interoception (Salience Network), and an altered sense of self (Default Mode Network).

Focusing on EEG studies, dysfunctional brain wave patterns have emerged, including reduced relative power of alpha rhythms (Clancy et al., 2017) and elevated relative power of beta rhythms (Huang et al., 2014). Observed alpha deficits were associated with sensory disinhibition, hypervigilance, and chronic hyperarousal linked to altered functioning within the Salience (Nicholson et al., 2016) and Default Mode Networks (Clancy et al., 2020). Increased beta activation in people with PTSD was linked to the general state of hyperarousal (Kay & Buysse, 2017), sleep disturbances (Colombo et al., 2016), or cognitive flexibility deficits (Popescu et al., 2023).

With the increasing evidence for altered functioning of the major brain networks in PTSD (Lanius et al., 2015; Terpou et al., 2020), research that evaluates neuroscience-driven treatment interventions to target specific PTSD symptoms is justified (Lanius et al., 2015).

Electroencephalographic Neurofeedback (EEG-NFB) is an emerging psychophysiological intervention aiming to increase the brain's capacity to self-regulate. The technique involves using electroencephalography (EEG) to measure the patient's ongoing brainwave activity, which is then presented to them in real-time using a simple stimulus (e.g. a visual or auditory cue) as feedback. Through operant conditioning, the patient learns to produce the desired brainwave activity while reducing dysfunctional electrical oscillations (Enriquez-Geppert et al., 2017; Nicholson, Ros, Densmore, et al., 2020; Ros et al., 2014). EEG-NFB aims to tap into the brain's inherent neuroplasticity, allowing it to retrain itself to function more optimally. It is particularly advantageous for patients with PTSD who experience high levels of anxiety, dysregulation, or dissociation, and who may not be receptive to or benefit from other treatment options (Nicholson, Ros, Densmore, et al., 2020). With training, patients become better at self-regulation, and regulation of emotional arousal in particular [van der Kolk et al. (2016), Gapen et al. (2016)].

A significant association was reported between the re-establishment of alpha power and the decrease of PTSD-related symptoms of hyperarousal using an alpha desynchronisation/rebound protocol (Ros et al., 2017), while an alpha/theta training protocol, developed to alleviate anxiety associated with alcoholism (Peniston & Kulkosky, 1989; Peniston & Kulkosky, 1990; Saxby & Peniston, 1995), and to reduce PTSD symptoms (Peniston & Kulkosky, 1991), was associated with increased brainwave synchrony (Peniston & Kulkosky, 1991).

In their single NFB session of alpha-down at Pz placement, Ros et al. (2013) demonstrated that tonic alpha desynchronisation at the midline parietal cortex is associated with amplified dorsal anterior cingulate cortex/midcingulate cortex (dACC/MCC) connectivity, a part of the SN, whose function is disrupted in PTSD (Daniels et al., 2010). Their findings led to the conclusion that NFB has a global rather than local effect on brain functioning (Ros et al., 2014) through activating specific neural networks (Zeynali & Seyedarabi, 2019) and that different electrode placements may have a similar effect on the neural networks affected by trauma.

The previous systematic reviews of the effectiveness of EEG-NFB in PTSD generally reported a moderate to large effect on reducing PTSD symptoms (Hong & Park, 2022; Panisch & Hai, 2020; Reiter et al., 2016: Steingrimsson et al., 2020), with a low certainty of evidence. For example, Steingrimsson et al. (2020) concluded that although there is evidence to suggest that neurofeedback may be an effective treatment for PTSD, the quality of the studies included in the review varied widely. The main limitation of this meta-analysis was the small number of included studies with small sample sizes and heterogeneity of treatment protocols. This limitation prevented any subgroup or sensitivity analyses and limited conclusions about the effectiveness of neurofeedback and its implementation in clinical practice. Since this review, several RCTs have been published, allowing for a more definitive answer to the question of the effectiveness of EEG Neurofeedback for PTSD.

Our systematic review was conducted to answer the question: how effective is EEG-NFB in addressing the symptoms of Chronic PTSD and other associated symptoms, compared with sham EEG-NFB, other interventions, waiting list, or no intervention? We were also interested in investigating any differences in the effectiveness of EEG-NFB across different trauma populations. Lastly, we aimed to explore whether improvements in symptoms were related to neurophysiological changes.

2. Method

The review is registered on PROSPERO (Registration number CRD42021278837) and follows PRISMA guidelines (Moher et al., 2009).

2.1. Eligibility criteria

Eligible studies met the following criteria: a) study participants were traumatised adults diagnosed with PTSD as a primary diagnosis, ≥ 18 years; b) having PTSD symptoms for at least 3 months or longer; c) the Neurofeedback (NFB) intervention was based on an electroencephalogram (EEG); d) the intervention was compared to sham NFB, other treatment, or waitlist; e) primary outcome was change in PTSD symptom score pre to post-intervention as assessed through diagnostic interviews based on the criteria outlined in the DSM-5.

2.2. Search strategy

We undertook a systematic literature search using PubMed, PsycINFO, Embase, ERIC, Web of Science, Cinahl, Scopus, and Cochrane databases in October 2021. The following search profile was used: ‘Neurofeedback’ OR ‘Neurotherapy’ OR ‘EEG Biofeedback’ combined by AND with ‘PTSD’ OR ‘post traumatic stress disorder’ OR ‘developmental trauma’. Search term expansion was used when available. No restrictions were applied to the date of publication. Articles were selected based on relevance as judged by title and abstract screening. References to selected studies were also examined. Only randomised control trials (RCT) and non-randomised studies of interventions (NRSI) enrolling adult patients with a primary diagnosis of PTSD were included. Studies that used NFB, along with other treatment modalities, were also included. No restrictions regarding traumatic events and types of trauma were applied. Cross-sectional and single-arm studies, narrative reviews, single and series case studies, non-human studies, and studies with children were excluded. Search sources also included bibliographic databases, reference lists of eligible studies and review articles, key journals, conference proceedings, trial registers, Internet resources, and contact with study investigators. The additional search with added search terms (‘psychological trauma’ or ‘emotional trauma’) was performed on 14 April 2023, to ensure the most up-to-date review.

2.3. Study selection and data extraction

After the initial screening of titles and abstracts for eligibility by the first reviewer, two reviewers independently reviewed full texts for papers that met inclusion criteria or those in which eligibility was unclear. The authors were blinded to each other's review, and the individual decisions were sent to the third reviewer for final group review and resolution of any disagreement.

Data was extracted on the population demographics (including study population, number of participants, age, gender and context of the study, diagnosis, and type of trauma), study design, exclusion criteria, intervention components (neurofeedback protocol and other interventions), control intervention components, outcome measures.

Primary outcomes were changes in PTSD symptoms score from baseline to the last available follow-up. The outcome measures (e.g. Harvard Trauma Questionnaire, PTSD Checklist for DSM-5, Clinician-Administered PTSD Scale, Davidson Trauma Scale and Impact of Event Scale – Revised) were based on the Diagnostic and Statistical Manual of Mental Disorders criteria (American Psychiatric Association, 2013). In studies where multiple measures were used, all results were added to Table 2. The results of the structured clinical interviews were prioritised over the results based on subjective measures of distress and included in the meta-analysis. In studies where only self-reported measures were used, a measure that was used in most studies (such as PCL-5) was included in the meta-analysis.

Table 2.

Reported effects on PTSD symptoms and risk of bias.

Study (Author, year) Type of trauma Dropout Results NF Group Results Control Group Between Group Difference Pre-Post/Length of follow up Remission Rate Risk of Bias
rp dii md Mo srr o
Peniston & Kulkosky, 1991 Combat PTSD NF: 0/15 Pre: 30.6 ± 9.1 Pre: 35.9 ± 7.2 Δ – 20.4, p < .05 MMPI PTSD subscale; 30 months follow up NF: 80% - + + + – + -
CL: 0/14 Post: 10.5 ± 6.2 Post: 36.2 ± 5.3 Cl: 0%
Δ – 20.1 (−66%) Δ + 0.3 (1%) p < .05 between groups
Kelson, 2013 Combat PTSD NF: 0/5 Pre: 72.8 ± 12.6 Pre: 69.4 ± 10.0 Δ – 38.0, p < .01 NF: 100% + - - - + -
CL: 0/5 Post: 44.2 ± 9.6 Post: 78.8 ± 9.0 Non-validated PTSD questionnaire; CI: 0%
Δ – 28.6 (−39%) Δ + 9.4 (12%) No follow up
van der Kolk et al., 2016 Multiple treatment resistant traumas (developmental trauma and domestic violence) NF: 6/28 Pre: 79.5 ± 16.9 Pre: 76.2 ± 16.9 Δ – 26.8, p < .001 NF: 73%
Cl: 32%
p = .007		 + + + + + +
CL: 2/24 Post: 43.0 ± 20.2 Post: 66.5 ± 20.6 CAPS-4;
Δ – 36.5 (−46%) Δ – 9.7 (−13%) 30 days follow up
Pre: 67.3 ± 9.7 Pre: 63.0 ± 10.5 Δ – 18.3, p < .001
Post: 44.2 ± 8.4 Post: 58.2 ± 8.9 DTS;
Δ – 23.1 (−34%) Δ – 4.8 (−8%) 30 days follow up
Noohi et al., 2017 Combat PTSD NF: 0/15 Pre: 47.2 ± 7.6 Pre: 51.1 ± 5.4 Δ – 16.8, p < .001 Not reported + – - - - + -
CL: 0/15 Post: 30.4 ± 6.2 Post: 51.1 ± 6.2 IES-R;
Δ – 16.8 (−36%) Δ 0.0 (0%) 43 days follow up
Bell et al., 2019 Combat PTSD NF: 0/12 Pre: 46.17 ± 14.23 Pre: 49.82 ± 10.16 Δ – 9.45, p > .5 Not reported - + + + + -
Cl: 1/11 Post: 18.08 ± 12.65 Post: 31.18 ± 13.53 PCL-5;
Δ – 28.09 (−61%) Δ – 18.64 (−37%) No follow up
Nicholson, Ros, Jetly, et al., 2020 Mixed treatment resistant trauma (developmental, military, first responders) NF: 0/18 Pre: 36.8 ± 10.3 Pre: 39.94 ± 7.83 Δ – 5.3, NF: 61.1%
Cl: 33.3%
p = .040		 + + + + + +
CL:0/18 Post: 24.3 ± 15.6 Post: 32.78 ± 12.27 CAPS-5;
Δ – 12.5 (−34%) Δ – 7.2 (−18%) 3 months follow up
Askovic et al., 2020 Refugee and war trauma NF: 0/13 Pre: 2.8 ± 0.4 Pre: 3.2 ± 0.5 Δ – 0.8, p > .002 NF: 92%
Cl: 8%		 - + ? - + -
CL: 0/13 Post:1.9 ± 0.5 Post: 3.1 ± 0.6 HTQ-16;
Δ −0.9 (−32%) Δ −0.1 (−3%) No follow up
Leem et al., 2021 Mixed trauma: domestic violence (16), traffic accidents (2), school violence (1) NF: 1/11 Pre: 44.3 ± 10.8 Pre: 35.1 ± 18.5 Δ – 20.8, p < .01 Not reported + + - + + -
Cl: 2/11 Post: 19.4 ± 7.8 Post: 31.0 ± 14.9 PCL-5-K;
Δ – 24.9 (−56%) Δ – 4.1 (−12%) 30 days follow up
Pre: 47.5 ± 16.8 Pre: 34.6 ± 16.9 Δ – 18.4 p < .05
Post: 25.6 ± 10.5 Post: 31.1 ± 16.6 IES-R-K;
Δ – 21.9 (−46%) Δ – 3.5 (−10%) 30 days follow up
du Bois et al., 2021 Victims of genocide NF: 0/10 Pre: 38.9 ± 16.7 Pre: 34.4 ± 23.8 Δ – 22.2, p < .01 NF: 70%
CL: not reported		 - + + +- + -
CL: 0/10 Δ – 27.9 (−72%) Δ – 5.7 (−17%) No follow up
Post: 11.0 ± 5.5 Post: 28.7 ± 20.1 PCL-5;
     
Pre: 2.2 ± 0.5 Pre: 2.1 ± 0.7 Δ – 0.7, p < .01
Post: 1.3 ± 0.2 Post: 1.9 ± 0.6 HTQ;
Δ – 0.9 (−41%) Δ – 0.2 (−10%) No follow up
Pre: 3.2 ± 1.1 Pre: 3.0 ± 1.7 Δ – 2.3, p < .01
Post: 0.3 ± 0.7 Post: 2.4 ± 2.0 PC-PTSD;
Δ – 2.9 (−94%) Δ – 0.6 (−20%) No follow up
Winkeler et al., 2022 Multiple traumas with first trauma happened in childhood (sexual, physical and emotional abuse, neglect) NF: 0/18 Pre: 11.1 ± 0.6 Pre: 11.2 ± 0.7 Δ – 0.6, p = .05 NF: not reported
Cl: not reported		 + + + +- + +-
CL: 2/18 Post: 10.3 ± 1.0 Post: 11.0 ± 1.1 PCL-5;
Δ – 0.8 (−7%) Δ – 0.2 (−2%) No follow up
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Abbreviations: PTSD, posttraumatic stress disorder; N.F., neurofeedback; CI, control intervention; Δ, difference; A negative between-group difference in change indicates a difference in favour of neurofeedback; MMPI, Minnesota Multiphasic Personality Inventory; CAPS, Clinician Administered PTSD Scale; intervention; IES-R, Impact of Event Scale-Revised;. PCL, PTSD Checklist; HTQ, Harvard Trauma Questionnaire; rp, randomisation process; dii, deviation from intended intervention; md, missing outcome data; mo, measurement of the outcome; srr, selection of the reported result; o, overall risk of bias; –,high risk of bias; +, low risk of bias; + -, some concerns of bias.

Secondary outcomes included changes in other symptoms (such as anxiety and depression), social and executive functioning changes, significant side effects, self-harm, suicidal behaviour, medication, remission rate, and associated neurophysiological changes. We also included the effect size, mean, confidence intervals, changes from baseline and follow-up, the difference between intervention and control groups, and statistical significance.

2.4. Risk of bias and certainty of evidence

The primary reviewer assessed the risk of bias for the primary outcome, and then the second reviewer undertook a quality check. The RCTs were assessed by the Cochrane Risk of Bias Tool 2 (Higgins et al., 2022) and NRSIs by Cochrane's ROBINS-I tool (Sterne et al., 2016).

The Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach was used to assess the overall certainty of evidence (Schünemann et al., 2013). The primary reviewer assessed the overall certainty of the evidence, and then the second reviewer undertook a quality check.

2.5. Meta-analyses

We conducted a meta-analysis to examine the effects of NFB on the severity of PTSD symptoms. Although non-randomised and randomised controlled trials were all included in the review, only RCTs were used in the meta-analyses. We separately analysed RCTs with a low and high risk of bias to further check the validity of findings. Statistical analyses were completed in RevMan Version 5 (RevMan Web, 2020). We assessed the heterogeneity of studies by their tau-squared value, the chi-squared test, and the I-squared value. Linear mixed-effects models were implemented to assess the overall effect of the intervention. Studies were weighted inversely proportional to their variance. The overall effect was described by the corresponding p-value, and the individual effect of each study was described by a standardised mean difference and 95% confidence interval. A forest plot summarised this information.

In addition, we used the narrative synthesis approach (Ryan, 2013) to summarise data that we could not analyse using meta-analysis.

3. Results

3.1. Search results

The literature search identified 318 articles after the removal of duplicates. After reading the abstracts, 242 articles were excluded. Another 64 articles were excluded by two authors (M.A. and N.S.) in consensus after reading the articles in full text. The remaining twelve articles were included for further analysis.

A flowchart of the study selection process is presented in Figure 1.

Figure 1.

Figure 1.

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Flow diagram of identification, screening, and eligibility of the systematic review.

This review includes twelve studies, consisting of seven randomised controlled trials (RCTs) and three non-randomised studies of intervention (NRSIs), and two additional papers with the analysis of secondary outcomes (Nicholson et al., 2023: Shaw et al., 2023) based upon the original study by Nicholson, Ros, Densmore, et al. (2020). All studies were published in peer-reviewed journals and involved a total of 293 participants (128 male) between the ages of 25–60. The studies have been conducted in different countries, including the United States of America, Australia, Canada, Iran, South Korea, and Rwanda. Participants experienced symptoms of PTSD resulting from various forms of trauma, such as combat (veterans), childhood abuse or neglect, domestic violence, first responders, traffic accidents, school violence, war, genocide, and refugee trauma. The time post-trauma ranged from six months to several decades. The majority of participants across all studies had experienced multiple traumas over a prolonged period of time. Seven studies required participants to meet diagnostic criteria for PTSD, while one study required participants to score above the cut-off of a self-rating PTSD measure, and one study selected participants on the basis of a non-validated PTSD symptom questionnaire. Comorbid psychiatric disorders were reported in four studies, including Bipolar Disorder, Eating Disorder, Alcohol Use Disorder, Mood Disorders, Anxiety, and Somatic Symptoms Disorder.

Comparators in the studies varied, with three studies comparing Neurofeedback to a waitlist group that continued to receive treatment as usual, and four studies comparing Neurofeedback with another intervention (heart rate variability biofeedback, motor imagery, media-supported relaxation, and traditional medicine). One study used sham control, one compared Neurofeedback to no treatment, and another did not specify the control group. The risk of bias was significant in eight studies, while only two studies met all quality criteria. Key characteristics of the included studies are summarised in Table 1.

Table 1.

Characteristics of the study population, design and treatment intervention.

Study (author, year) Study design Population/type of Trauma No of participants/Gender Age Additional Diagnosis Exclusion Criteria Duration and frequency of treatment/Neurofeedback Protocol/Sensor Placement Adjunct interventions Control Intervention
Peniston & Kulkosky, 1991 RCT Vietnam combat veterans with PTSD N = 29; 29 male 36.68 ± 2.72 Not reported Psychotic symptoms; organic dysfunction 30 sessions of Alpha/Theta training, 5 days a week; 30 min session; Sensor placement: O1 Experimental group only: Pre-training: 8 × 30-min temperature biofeedback, autogenic training and rhythmic breathing technique. Both groups were on psychotropic medications: Tricyclic antidepressants, anxiolytics and antipsychotics. Traditional medicine: psychotropic medications combined with individual and group therapy
Kelson, 2013 RCT Army veterans living in poverty (homeless or nearly homeless) N = 10; 10 male 25–60 y Bipolar disorder or drug/alcohol addiction Psychosis 20 session over 4 weeks, 30 min session of Infra Low Frequency Training; Sensors placements based on the Othmer Protocol Guide (2012) with T3–T4 and T4–P4 as starting protocols All were on psychotropic medication. Not receiving EEG Biofeedback
van der Kolk et al., 2016 RCT Adults exposed to multiple traumas (childhood caregiver emotional abuse; sexual abuse; domestic violence) and treatment resistant PTSD N = 52; 7 male 44.40 ± 13.15 Not reported Unstable medical condition; Disability benefits; Suicide risk; Psychotic or bipolar disorder; TBI; Seizure disorder; SUD; DV; Changing ongoing treatment during study; GAF score <40. 24 bi-weekly sessions; 30 min session of High alpha training Starting reward frequency of 10–13 Hz and inhibit frequencies of 2–6 and 22–36 Hz. Adjustment of the reward band was based on subjects’ responses. Sensor placement: T4–P4 Required to continue all ongoing treatments (psychotherapeutic and pharmacological) with no changes to their treatment regimens. Reported medication: SSRIs, benzodiazepines, anxiolytics, Bupropion, SNRI tricyclic antidepressant, stimulants, antipsychotics. Waitlist receiving psychotherapy and medication
Noohi et al., 2017 RCT Adult patients (war/combat) with PTSD referred to hospital N = 30; 30 male 25–60 y Not reported Psychotic and bipolar disorders; Serious limiting physical illness, such as cancer or kidney problems 25 sessions four times week; 30–40 min sessions of Alpha Theta training; Sensor placement: Pz Not reported Not reported
Bell et al., 2019 NRSI Traumatized individuals (childhood abuse or neglect; domestic violence; first-responders; military veterans) with PTSD and at least 6 months post traumatic event N = 23; 23 male 44 ± 16 MDD; Anxiety disorder; ADD, Fibromyalgia/Chronic Pain; Bipolar Disorder OCD; Dysthymic Disorder Personality disorders (Axis II DSM-V); Suicidal ideation; Psychosis; TBI; Seizure disorder; significant unstable medical conditions; Pregnancy; Personality disorder. 15 bi-weekly sessions; 20 min session of Low Resolution Electromagnetic Tomography Analysis (LORETA) Z-score neurofeedback training targeting 3 brain networks (Default Mode Salience and Central Executive Network). Sensor placement: 19 channel corresponding to the 10–20 international system Concurrent psychotherapy and medication 18 participants on psychotropic medication, not specified. HRV Biofeedback
Nicholson, Ros, Jetly, et al., 2020 RCT double-blind Traumatised individuals (military veterans; first responders; physical/sexual abuse or neglect) who had not responded to at least six months of trauma-focused psychotherapy N = 36; 10 male 42.18 ± 11.63 MDD; Somatisation disorder Specific phobia SUD; bipolar or psychotic disorders; in another primary trauma focused treatment; previous biofeedback treatment; suicidal ideation Unstable living conditions; DV; Noncompliance with 3 Tesla fMRI safety standards; Significant untreated medical illness; Pregnancy; Neurological or pervasive developmental disorders; TBI 20 weekly sessions; 20 min session of down-regulation of alpha rhythm (8–12hz); Sensor placement: Pz Psychotropic medication: Antidepressants; SSRIs; SNRIs; tricyclics; atypical antipsychotics; sedatives; benzodiazepines; cyclopyrrolone and stimulants (methylphenidate). Sham neurofeedback
Askovic et al., 2020 NRSI, retrospective Adult refugees with chronic PTSD N = 26; 17 male 44.85 ± 9.9 Anxiety; Depression Current substance use disorder, severe neurological conditions, developmental delay, or need for urgent medical care. 27 (SD 12) sessions over 46 weeks (SD 32 weeks); 20 min session of individualised neurofeedback training protocols to target hyperarousal symptoms (anxiety, fear, insomnia), instability and problems with attention. Sensor placement: T4–P4
T3–T4
Cz–A2 or C4–A2
Fz-A1		 Trauma counselling and medication. 13 participants on psychotropic medication, not specified. Waitlist receiving trauma counselling
Leem et al., 2021 RCT Traumatized individuals, traumatic events occurred more than 6 months before recruitment. N = 22; 2 male 43.98 ± 16.35 Not reported Severe mental disease (past or recent); when it is necessary to administer continuously a substance that is judged to have an effect on the induction of symptoms. 16 bi-weekly sessions; 50 min session of Alpha-theta training; Sensor placement: Pz Allowed to continue on any drugs or nonpharmacological treatments that were previously being taken. Waitlist receiving treatment as usual and life style intervention
du Bois et al., 2021 NRSI (3 arms) Genocide survivors in Rwanda, high scores for PTSD in a previous study on transgenerational transmission of PTSD N = 29; 29 female 53.72 ± 6.094 Not reported Not reported 7 sessions; 25 min session of down-regulation of alpha rhythm (8–12hz); Sensor placement: Pz Not reported No treatment/Motor Imagery
Winkeler et al., 2022 RCT Adults admitted to an inpatient treatment programme for eating disorders diagnosed with PTSD, with a history of childhood trauma N = 36; 36 female 27.11 ± 5.28 Eating disorder; and frequent diagnosis of depression and emotionally unstable personality disorder Treatment experience with NFB as well as epileptic seizures in patients' history 12 sessions; 30 min of Infra-low frequency training; Sensor placement: T4–P4, T3–T4, and T4–FP2 Regular inpatient treatment programme (individual psychotherapy 75 min per week, group psychotherapy 150 min per week + body awareness therapy, creative therapy, physical activity adapted to the physical condition, psychoeducation, nutritional counselling, and mealtime support as needed.) Media Supported Relaxation
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3.2. Characteristics of neurofeedback intervention

The majority of reviewed studies (Askovic et al., 2020; du Bois et al., 2021; Nicholson, Ros, Jetly, et al., 2020; Noohi et al., 2017; Peniston & Kulkosky, 1991; van der Kolk et al., 2016 and Leem et al., 2021) were based on the EEG amplitude NFB training (Perl & Perl, 2019), also called frequency/power NFB (Marzbani et al., 2016) with standard inhibit and reward frequencies (1–36hz). In a review by Perl and Perl (2019), EEG amplitude NFB training composes most (over 70%) of all reviewed NFB studies. In frequency/power NFB included in our review, varieties of alpha/theta training protocols were used in three studies (Leem et al., 2021; Noohi et al., 2017; Peniston & Kulkosky, 1991), while three studies were focused on the modulation of alpha rhythm (du Bois et al., 2021; Nicholson, Ros, Densmore, et al., 2020; van der Kolk et al., 2016). The Askovic et al. (2020) study began by rewarding sensory motor rhythm (12–15 Hz) and progressing to training alpha and theta rhythms.

Two studies (Kelson, 2013; Winkeler et al., 2022) employed infra-low frequency neurofeedback (ILF NF) based on very slow electrical potential shifts (below 0.1 Hz) that are extracted from the EEG signal to create the feedback. Unlike frequency/power NFB which utilises an operant conditioning approach, ILF NF initiates an implicit learning process by providing continuous real-time feedback on brain activity within the infra-low frequency range. This process specifically targets the fundamental level of arousal and the degree of excitability within the central nervous system (Kirk, 2020).

The research conducted by Bell et al. (2019) utilised LORETA Z-score neurofeedback, which involved analysing participants’ individual EEG data using LORETA imaging. The analysis was aimed at identifying particular brain regions displaying abnormal activity patterns, and subsequently quantifying the extent of deviation from the norm using Z-scores. During the neurofeedback training, participants received feedback based on these z-scores, with the objective of guiding their brain activity toward a more optimal range.

3.3. Publication bias

We extended the search using our initial search terms to three ‘grey literature’ databases (MetaRegistry of Controlled Trials, OpenGrey, Index to Thesis). The search returned no additional articles different from the initial search.

3.4. Risk of bias and certainty of evidence

Effects on PTSD symptoms were assessed in seven RCT and three NRSI studies (Table 2). Only RCTs were included in the meta-analysis. We performed a sensitivity analysis based on the risk of bias. We separated Low Risk of Bias (LRB) from High Risk of Bias (HRB) studies and listed all reported effect sizes while focusing on the LRB studies when interpreting results. Studies by van der Kolk et al. (2016) and Nicholson, Ros, Densmore, et al. (2020) had an LRB with a well-described randomisation process, no deviation from the intended intervention, and no missing data; both applied gold-standard primary outcome measures and did not deviate from the registered protocol. Nicholson, Ros, Densmore, et al. (2020) conducted a double-blind, sham-controlled randomised trial, which is considered a reliable and unbiased study design.

Although these two studies were rated as having a low risk of bias, they were downgraded for imprecision, indicating moderate certainty of evidence (Table 3). In this case, we judged the certainty of the evidence lower than it otherwise would have been considered because of the sample size.

Table 3.

Summary of findings with estimated certainty of evidence.

Outcome Number and type of studies (participants), risk of bias Absolute effect estimates Certainty of evidence – GRADE a
PTSD symptoms 2 RCTs (n = 88) with Low Risk of Bias CAPS
Standardised mean difference at end of treatment in favour of NFB – 0.88 (95% CI −1.42, −0.35), p = .001		 ⊕ ⊕ ⊕ ◯ b
5 RCTs (n = 127) with High Risk of Bias IES-R/PCL-5/MMPI-PTSD/Non-validated PTSD Questionnaire
Standardised mean difference at end of treatment in favour of NFB –2.39 (95% CI −3.87. −0.90), p = .00001		 ⊕ ◯  ◯  ◯ c
Symptoms of Depression 2 RCTs (n = 49) and 1 NRSI (n = 26) with High Risk of Bias Beck Depression Inventory/HSCL-D
Standardised mean difference at end of treatment in favour of NFB
−1.37 (95% CI −2.21 to −0.53), p = .001		 ⊕ ◯  ◯  ◯ d
Symptoms of Anxiety 1 RCT (n = 19) and 2 NRSI (n = 49) with High Risk of Bias Beck Anxiety Inventory /HSCL-A
Standardised mean difference at end of treatment in favour of NFB
−1.00 (95% CI −1.51 to −0.49), p = .0001		 ⊕ ◯  ◯  ◯ e
Medication use 1 RCT (28) and 1 NRSI (n = 13) Number of patients with decreased medication use NFB vs CL:
Decrease: 22/22 vs. 1/18 Between-group difference: Chi2 = 36.14, p < .001		 ⊕ ◯  ◯  ◯ f
⊕⊕⊕⊕ – High certainty (we are very confident that the true effect lies close to that of the estimate of the effect)
⊕⊕⊕ ◯ Moderate certainty (we are moderately confident in the effect estimate: the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different)
⊕⊕ ◯  ◯ Low certainty (our confidence in the effect estimate is limited: the true effect may be substantially different from the estimate of the effect)
⊕ ◯ ◯ ◯ Very low certainty (we have very little confidence in the effect estimate: the true effect is likely to be substantially different from the estimate of effect)
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a, certainty of evidence; b, downgraded one step for imprecision (due to a small number of participants and only 2 events); c,d,e,f downgraded three steps for serious risk of bias and study limitations (missing outcome data, unclear randomisation, deviation from intended intervention and bias in measurement of outcomes), high heterogeneity, indirectness, and serious imprecision.

Five studies were assessed to have a HRB (Kelson, 2013; Leem et al., 2021; Noohi et al., 2017; Peniston & Kulkosky, 1991; Winkeler et al., 2022). They were downgraded for serious risk of bias imprecision, indicating a very low certainty of evidence.

3.5. Heterogeneity

HRB studies had significantly higher heterogeneity (I2 = 89%) than the LRB studies (I2 = 32%), demonstrating larger variation in study outcomes between studies.

Studies by Peniston and Kulkosky (1991), Kelson (2013), and Noohi et al. (2017) focused on study populations with combat trauma from active military service. In contrast, studies by van der Kolk et al. (2016), Nicholson, Ros, Densmore, et al. (2020), Leem et al. (2021), and Winkeler et al. (2022) focused on a study population with civilian trauma, predominantly developmental trauma. Compared to the whole group (I2 = 86%), both the veterans and civilian groups had significantly lower heterogeneity (I2 = 0%). This needs to be tempered, given the uncertainty that comes from having a small number of studies (von Hippel, 2015).

3.6. Primary outcomes – changes in PTSD symptoms

All studies showed the advantage of treatment with NFB. The NFB groups showed a reduction in PTSD symptoms post-treatment of between 7% and 72% (median 42.5%), compared with changes in the control groups ranging from a decrease of 37% to an increase of 12% (Table 2). Meta-analysis of the pooled data (HRB and LRB studies combined) shows a significant SMD of −1.76 (95% CI −2.69, −0.83; p < .01) post-treatment, demonstrating large effect size, with very low certainty of evidence. The remission rate reported in six studies (Askovic et al., 2020; du Bois et al., 2021: Kelson, 2013; Nicholson, Ros, Densmore, et al., 2020; Peniston & Kulkosky, 1991; van der Kolk et al., 2016) was higher in the NFB group (79.3%) compared to the control group (24.4%) (Figure 2).

Figure 2.

Figure 2.

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Forest plots showing change in severity of symptoms of PTSD after treatment with Neurofeedback vs control conditions. ‘Std. Mean Difference’ indicates the effect size, with 95% confidence intervals (C.I.s). The Z value and associated p value indicate whether the effect size differs significantly from zero. The squares in the figure indicate the weight of the particular study in the meta-analysis. SD, Standard deviation; IV, inverse variance; df, degrees of freedom.

3.7. Sensitivity study

3.7.1. LRB studies effect

PTSD symptoms post-treatment were significantly lower in the NFB group than the Control group (SMD = −0.88; 95% CI [−1.42; −0.34], p < .01) in the LRB studies. In the NFB group, based on six studies that reported remission rate (see Table 2), 79% of participants remitted with clinically meaningful changes (>30% reduction; Halvorsen, 2016), comparable to the 62% reported in meta-analyses of other PTSD treatment studies (Bradley et al., 2005).

3.7.2. HRB studies effect

The four HRB studies showed significantly lower PTSD symptoms in the NFB group compared to controls (−2.39; 95% CI [−3.87, −0.90], p < .01); however, the differing study design and methodology were associated with considerable heterogeneity of results. Heterogeneity was statistically significant (Chi2 = 34.87) and represented a meaningful variation in standardised mean differences (Tau2 = 2.42; I2 = 89%).

Based on GRADE, we found that the beneficial effects of NFB on symptoms of PTSD were moderate, but very low certainty of evidence. The effect of NFB persisted when studies were partitioned by the risk of bias (HRB and LRB studies combined Z = 3.70; HRB studies Z = 3.15 and LRB studies Z = 3.22), increasing our confidence (moderate certainty) that NFB compared with controls had a moderate effect on the severity of PTSD symptoms in adult patients (Table 3). This is comparable to the results reported for the best evidence-based treatments for PTSD (Watts et al., 2013).

3.8. Effect of the study population

When the effect of NFB on PTSD symptoms was considered within the veterans’ studies, PTSD symptoms were significantly lower in veterans when treated with NFB as compared to the control group (SMD −3.63; 95%, p < .01). There was no statistically significant presence of heterogeneity (Chi2 =  1.41; Tau2 =  0) and confidence intervals were relatively narrow.

When the effect of NFB on PTSD symptoms was considered in civilian participants, PTSD symptoms were also significantly lower in civilians treated with NFB as compared to a control group (SMD –0.67; p < .01), with similar heterogeneity (Chi2 = 0.45; Tau2 =  0) and confidence intervals comparable, proportional to the magnitude.

When comparing veterans to civilians, the magnitude of the standardised mean difference was greater in veterans (−3.63 vs. −0.67), suggesting a larger effect of NFB in treating combat trauma compared to civilian trauma.

4. Secondary outcomes

4.1. Changes in symptoms of depression and anxiety

Depression was measured by the Beck Depression Inventory (BDI) in two studies (Leem et al., 2021; Noohi et al., 2017) and the Hopkins Symptom Checklist −25 (HSC-25) in one study (Askovic et al., 2020). All three studies showed a significant improvement in the NFB group. As measured by the BDI, the NFB group showed a reduction in symptoms of depression pre to post-treatment ranging between 12% and 38% (median 25%), compared with changes in the control group ranging from a decrease of 12% to a minor increase of 0.4%. Meta-analysis of the pooled data shows a significant SMD of −9.00 (95% CI −16.28 to −1.72; p = .02) post-treatment; however, they had moderate to high heterogeneity (I2 = 61%).

In the study conducted by Askovic et al. (2020), it was reported that, compared with treatment as usual, the NFB group had a greater reduction of symptoms of Anxiety, F(1, 25) = 5.4, P = .030 post-therapy as measured by the HSC-25. The study conducted by Bell et al. (2019) showed a significant decrease in anxiety symptoms pre–post NFB as measured by the Beck Anxiety Inventory. There was no difference (p = .214) between the NFB and control group, although the effect of group type on anxiety was large, Cohen's d = .94. The very low certainty of evidence (based on GRADE), limits our ability to make a conclusion whether NFB compared to control intervention reduces depression and anxiety symptoms in adult patients with PTSD.

We could not analyse changes in social and executive functioning, self-harm, and suicidal behaviour, as they were reported inconsistently in the small number of studies, resulting in very little certainty of evidence.

4.2. Changes in the use of psychotropic medication

Only three studies reported medication use. While Peniston and Kulkosky (1991) and Askovic et al. (2020) indicated less need for medication following NFB, Nicholson, Ros, Jetly, et al. (2020) tried to keep medication stable during the trial to control for the medication effect.

Peniston and Kulkosky (1991) reported a significant reduction in the use of psychotropic medication in the NFB arm. Askovic et al. (2020) reported that all participants treated with NFB and none controls ceased psychotropic medication at the end of treatment. However, the very low certainty of evidence limits our ability to conclude whether NFB reduces medication use in adult patients with chronic PTSD.

4.3. Long-term effect of neurofeedback

Five of the six studies included follow-ups ranging from 1–30 months (Nicholson, Ros, Jetly, et al., 2020; Noohi et al., 2017; Peniston & Kulkosky, 1991; van der Kolk et al., 2016 and Leem et al., 2021). All studies reported continued benefits of NFB at follow-up and favourable outcomes compared to the control intervention. Meta-analysis of the pooled data (Leem et al., 2021; Nicholson, Ros, Densmore, et al., 2020; Noohi et al., 2017; van der Kolk et al., 2016) shows a significant SMD of −1.48 (95% CI −2.47, −0.48; p < .01) at follow-up. In the longest (30 months) follow-up study (Peniston & Kulkosky, 1991), only four of the twenty participants in the NFB arm had a few instances of recurrence of the nightmares/flashbacks, which resolved with booster NFB sessions (p < .05 between groups). However, due to the low quality of evidence and variability in the follow-up periods, long-lasting of effects of neurofeedback remain unclear from this analysis.

4.4. Acceptability of NFB

The acceptability of NFB treatment was measured by the dropout rate and reported adverse effects. The dropout rate across all participants in NFB treatment was 5% (7/144). This dropout rate compares favourably to the 20.9% dropout from RCTs of psychological therapies for PTSD (Varker et al., 2021). Only one participant dropped out of the study due to an adverse effect of flashbacks following NFB (van der Kolk et al., 2016). Other studies reported a temporary increase in symptoms (Bell et al., 2019; Noohi et al., 2017), which did not affect the positive outcomes of the treatment. These findings indicate that NFB is an acceptable adjunct treatment among individuals with PTSD.

4.5. Changes in neurophysiological functioning

Changes in neurophysiological functioning following neurofeedback training were investigated in six studies (Askovic et al., 2020; Leem et al., 2021; Nicholson et al., 2023; Nicholson, Ros, Jetly, et al., 2020; Peniston & Kulkosky, 1991 and Shaw et al., 2023). In all but one study (Leem et al., 2021), significant changes in neurophysiological functioning following NFB were found.

The study conducted by Peniston and Kulkosky (1991) found that alpha-theta NFB led to significant increases in synchrony between brain channel pairs in the frontal and parieto-occipital lobes of the cerebral cortex in their patients. The mean amplitudes of alpha and theta brainwaves displayed a ‘Crossover’ pattern across trials, where theta waves increased and alpha waves decreased, indicating a state of consciousness that promotes hypnagogic imagery. This state allowed previously inaccessible traumatic memories to be revisited and resolved from a lower level of arousal. The study's participants reported anxiety-free episodes during a 26-month follow-up period, and almost all participants reported the disappearance of episodes of flashbacks and nightmares.

The alpha-desynchronisation NFB study by Nicholson, Ros, Jetly, et al. (2020) observed a shift towards normalisation of Default Mode Network (DMN) and Salience Network (SN) connectivity post-neurofeedback, which was correlated with a decrease in PTSD severity and improved performance during neurofeedback training. Greater reductions in PTSD severity scores were associated with less SN connectivity with the supplementary motor cortex (SMC). At the same time, better neurofeedback training performance correlated with an increase of anterior DMN connectivity with the right posterior insula post-NFB compared to baseline. The results of this study expand upon the single session of alpha-desynchronizing EEG-NFB study (Kluetsch et al., 2014), which found that increased posterior insula connectivity post-NFB was associated with an increased subjective experience of calmness. Another alpha-desynchronisation study (du Bois et al., 2021) evaluated changes in alpha amplitude during and following NFB training compared to baseline. They demonstrated both local (Pz) and global (all EEG channels) increase in resting-state absolute alpha amplitude following NFB, compared to baseline. The observed increase in resting-state absolute alpha amplitude was consistent with previous studies that described the ‘alpha-rebound effect’ following alpha desynchronisation training associated with reductions in anxiety and hyperarousal symptoms among individuals with PTSD, and normalisation of the resting-state connectivity patterns within the DMN and SN (Kluetsch et al., 2014; Nicholson et al., 2016; Ros et al., 2017). In their randomised controlled trial, Nicholson et al. (2023) observed that alpha resynchronisation occurred within the dorsomedial prefrontal cortex, the same region that had reduced alpha power among PTSD patients at baseline. This finding suggests that alpha desynchronisation NFB can restore resting-state alpha rhythms altered in PTSD, leading to the establishment of excitatory/inhibitory balance that could be a critical neurobiological mechanism underlying the therapeutic effects of NFB in PTSD.

Two studies investigated changes in neurocognitive functioning following NFB (Askovic et al., 2020; Shaw et al., 2023).

The Askovic et al. (2020) study assessed changes in neurocognitive functioning (inhibitory control and attention) pre to post-NFB during simultaneous measurement of Event-Related Potentials (ERPs) and behavioural performance using the Go/NoGo paradigm. Askovic et al. (2020) found that neurofeedback training normalised the amplitude of P3 NoGo event-related potentials. This study's findings suggest improved cognitive control as a top-down regulatory process may underlie the alleviation of symptoms observed in PTSD patients (White et al., 2018) after neurofeedback. They also observed increased sustained attention post-neurofeedback, with a strong correlation between decreased omission errors and increased P3 NOGO (r = −0.83, P < .001).

This finding is in line with a single-session NFB study by Deiber et al. (2021) that provided mechanistic evidence of the effect of NFB on the main P300 component amplitude, which correlated with improved executive functioning in ADHD patients.

Shaw et al. (2023) conducted a study that investigated the effects of NFB on neuro-cognitive functioning under emotionally loaded tasks employed to engage top-down control of emotions. The neuroimaging results showed that alpha-down NFB improved the engagement of top-down cognitive and emotional control centres, such as the dorsolateral prefrontal cortex (dlPFC), and facilitated better integration of the anterior and posterior parts of the default mode network (DMN). Additionally, their findings suggest that improved alpha-down NFB performance correlated with increased activity in brain regions responsible for top-down control and consciousness/embodied processing of self, including the temporo-parietal junction and posterior insula.

5. Discussion

This review examined the effectiveness of NFB as an intervention for PTSD symptoms in adult patients. The results of the literature search yielded twelve articles that met the inclusion criteria, consisting of seven randomised controlled trials (RCTs), two additional outcomes papers, and three non-randomised studies of intervention (NRSIs). The studies involved a total of 293 participants between the ages of 25–60, with diverse backgrounds and experiences of trauma. The sample sizes of the individual studies varied, ranging from 10 participants to more extensive studies with over 50 participants. All studies reported high levels of comorbidities resembling the complexity of patients seen in clinical practice.

The studies employed different neurofeedback protocols, including frequency/power NFB (such as alpha/theta training and modulation of alpha rhythm), infra-low frequency neurofeedback (ILF NF), and LORETA Z-score neurofeedback. This variety highlights the adaptability of NFB to individual patients’ needs, (as different protocols can be used to target specific brainwave patterns or electrical potential shifts) as well as the lack of clarity regarding the optimal NFB treatment approach.

The remission rates observed in the NFB groups were notably higher when compared to control groups. These benefits were sustained, suggesting that the positive effects of NFB persist over time. Notably, no significant adverse effects were reported. This is particularly noteworthy considering the complex nature of PTSD and the multiple traumas experienced by the participants in the reviewed studies.

These beneficial effects are congruent with previous reviews, which all indicated the positive effects of NFB in patients with PTSD, but with a higher degree of certainty. This meta-analysis has doubled the number of study participants compared to previous meta-analyses in this area (Hong & Park, 2022; Panisch & Hai, 2020; Reiter et al., 2016; Steingrimsson et al., 2020) and a series of sensitivity analyses were also conducted, resulting in more robust and precise outcomes.

The effect size of symptom reduction from NFB shown in this meta-analysis is comparable to that found in a recent systematic review and meta-analysis of other interventions for PTSD (Coventry et al., 2020). This meta-analysis found that psychological interventions reduce PTSD symptoms more than inactive control (k = 46; n = 3,389; standardised mean difference [SMD] = −0.82, 95% confidence interval [CI] −1.02 to −0.63) and active control (k-9; n = 662; SMD = −0.35, 95% CI −0.56 to −0.14). Importantly, this meta-analysis found that multiple component interventions were the most successful approach in the treatment of PTSD.

6. Clinical implications

The effectiveness of NFB in reducing PTSD symptoms suggests that it can be considered a viable treatment option alongside existing interventions or an alternative or adjunctive treatment modality. Clinicians may consider incorporating NFB at the beginning of treatment to reduce and stabilise nervous system arousal and improve connectivity within the Default Mode and Salience Networks. This brain-based approach allows for greater accessibility and response to psychological interventions. Integrating NFB with other modalities can lead to a more holistic and individualised approach to PTSD treatment, addressing both the psychological and neurophysiological dysregulations associated with the sequale of trauma.

Additionally, the positive impact of NFB on symptoms of depression and anxiety further supports its clinical value. While the certainty of evidence for these secondary outcomes was generally low, the observed improvements in symptoms highlight the potential of NFB to address comorbid conditions often associated with PTSD.

The potential therapeutic effect of NFB in restoring neurophysiological functioning and alleviating PTSD symptoms makes it a valuable adjunctive treatment to trauma-focused interventions. It holds particular promise for individuals with chronic and complex PTSD, who often exhibit limited treatment responses from conventional treatment modalities.

7. Neurophysiological mechanisms underlying NFB

The reviewed studies reported significant improvements in brainwave synchrony (Peniston & Kulkosky, 1991), normalisation of network connectivity (Nicholson, Ros, Jetly, et al., 2020), and changes in neurophysiological functioning (Askovic et al., 2020; Shaw et al., 2023) following NFB, which are associated with the amelioration of PTSD symptoms.

These neurophysiological changes observed following NFB reflect the restoration of the brain's excitatory/inhibitory balance (Shaw et al., 2023), leading to improvement in patients’ ability to self-regulate their emotions and responses to trauma-related triggers. This targeted approach has the potential to yield meaningful and sustainable improvements in symptom severity for patients with PTSD.

However, it is important to note that while the evidence supports the association between neurophysiological changes and symptom improvement, the specific mechanisms underlying these changes have just begun to emerge. Further research is needed to deepen our understanding of the neurobiological effects of NFB, different treatment protocols, and their relationship to PTSD symptom reduction.

8. Limitations

While the findings regarding the effectiveness of neurofeedback (NFB) as an intervention for PTSD symptoms are promising, there are important limitations to consider. Firstly, this review has methodological limitations as only one person assessed the risk of bias, potentially introducing the first reviewer's influence. As limited search terms were used, there is also a possibility of studies being missed, creating a risk of bias.

Additionally, the studies included in this review utilised various types of NFB interventions, making it challenging to determine the most effective approach. The lack of standardised protocols, treatment procedures, and duration further complicates the comparison of results across studies. This highlights the need to establish optimal NFB protocols and treatment parameters for enhanced effectiveness and consistency, which becomes more challenging when we consider neurofeedback as a form of individualised medicine.

Heterogeneity was observed across the included studies, attributed to differences in participant characteristics, trauma histories, comorbidities, and variations in the implementation of NFB interventions. These factors need to be considered when interpreting the results and generalising the findings to broader populations. The assessment of outcomes in the included studies varied, with different measures used to evaluate PTSD symptoms, depression, anxiety, and other related symptoms. To provide more robust evidence regarding the benefits of NFB, standardised clinical measures and consistent assessment of clinical changes across studies would be beneficial.

The small sample sizes in most studies included in this analysis limit the generalizability and statistical power of the findings.

9. Research implications – future directions

It is important to note that while the reviewed studies provide promising evidence for the effectiveness of NFB, the overall certainty of the results varied from moderate to very low. This highlights the need for further research, particularly well-designed multicentre randomised controlled trials (RCTs) with larger sample sizes, diverse populations, consistent treatment protocols, and long-term follow-up assessments. These efforts are crucial to strengthen the evidence base and confirm the clinical benefits of NFB for PTSD treatment.

Expanding the scope of outcome measures beyond symptom reduction is crucial. Future studies should consider measuring changes in cognitive functioning, affect regulation, salience detection, and arousal, among other relevant dimensions. This comprehensive understanding of the clinical benefits following NFB will provide insights into the broader impact of NFB on various aspects of PTSD and individuals’ overall well-being.

Investigating the technical aspects of NFB protocols is necessary to determine optimal parameters, including the duration and intensity of treatment and the potential need for booster sessions. This information will contribute to refining treatment protocols and optimising the delivery of NFB interventions.

Incorporating measures of therapeutic engagement in future studies can help explore the impact of the therapeutic relationship and the role of highly trained trauma-informed clinicians in NFB outcomes. Understanding the influence of supportive relationships on treatment efficacy can guide the development of effective therapeutic frameworks and inform clinical practice.

Further integration of advanced neuroimaging techniques, including functional magnetic resonance imaging (fMRI) and quantitative electroencephalography (QEEG), can deepen our understanding of the neural circuitry abnormalities linked to post-traumatic stress disorder (PTSD). Subsequently, efficacy studies on neurofeedback (NFB) can further clarify NFB's ability to effectively modulate these pathological circuits and examine potential correlations between brain-related changes and positive clinical outcomes.

Future research in neurofeedback and PTSD should adopt a multidimensional approach, encompassing standardised measures, long-term follow-up, expanded outcome assessment, technical optimisation, considerations of therapeutic engagement, and integration with advanced neuroimaging techniques. These efforts will contribute to the development of evidence-based practices, improve treatment outcomes, and further establish neurofeedback as a valuable intervention in the field of PTSD.

10. Conclusions

The findings of this review support the effectiveness of NFB as an intervention for reducing chronic PTSD symptoms, as well as associated anxiety and depression in adult patients. Mechanistic evidence suggests that NFB leads to therapeutic changes in brain functioning. Further well-designed research with larger sample sizes, diverse populations, consistent treatment protocols, and long-term follow-up assessments is crucial to strengthen the evidence base and confirm the clinical benefits of NFB for PTSD treatment.

Acknowledgements

We thank the NSW Service for the Treatment and Rehabilitation of Torture and Trauma Survivors for ongoing support with our research study.

Funding Statement

This work was not supported by any specific funding.

Open Scholarship

Inline graphic Inline graphic Inline graphic

This article has earned the Center for Open Science badges for Open Data, Open Materials and Preregistered. The data and materials are openly accessible at https://osf.io/c72b6/, https://osf.io/c72b6/ and https://osf.io/c72b6/registrations.

Disclosure statement

Prof. Harris has recently received financial support from the Australian Research Council, Balnaves Foundation, the National Health and Medical Research Council, Alto Neuroscience, Janssen Australia, Medical Research Futures Fund, Lundbeck Australia, Seqirus, and Takeda Pharmaceuticals USA. He is also the chair of One Door Mental Health. Mirjana Askovic currently holds the positions of Neurofeedback Program Coordinator and Director of the Australian Neurofeedback Institute at STARTTS. The other co-authors do not have any conflicts of interest to declare.

Data availability statement

The data supporting the results and analyses presented in this paper can be found on: 10.6084/m9.figshare.22110620.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The data supporting the results and analyses presented in this paper can be found on: 10.6084/m9.figshare.22110620.

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