Abstract
Attentional deployment is an emotion regulation strategy that involves shifting attentional focus within an emotional scene in order to modulate emotional experience. Attentional deployment is widely used and effective at reducing negative affect, yet the supporting neural mechanisms are poorly understood. The rich literature on the neural correlates of reappraisal may help inform our understanding of attentional deployment, as reappraisal recruits common control regions associated with emotion regulation and may tap into specific mechanisms associated with directing attention. We highlight commonalities between reappraisal and attentional deployment and then focus on potentially unique aspects of attentional deployment, including the importance of parietal regions and implications for understanding the normative development of emotion regulation, as well as both well-being and psychopathology.
Attention and Emotion
Emotion captivates and sustains attention [1]. A prototypical example of this is driving past a car accident – traffic comes to a crawl as everyone slows to look at the event. The seemingly automatic capture of attention by emotional content has been referred to as motivated attention [2]. Attention to emotion facilitates information processing, including altering perception and memory [3, 4]. While initial attention to emotion may occur in a reflexive fashion, an individual’s goals and motivation determine how attention is allocated in a top-down fashion [5]. In this way, attention and emotion interact dynamically over time to influence affect and behavior.
Individuals can control attention to emotion by employing attentional deployment (AD), an emotion regulation (ER) strategy that typically involves shifting attention away from emotional information in the service of reducing emotional impact [6]. For instance, although attention may be initially captivated by the car accident, an individual may choose to redirect attention away from the accident and towards more mundane aspects of the scene in order to feel less distress. AD is used across the lifespan, from young children [7, 8] to older adults [9–11] and it is effective at reducing negative affect [9, 12*]. Deficits in AD are also present in psychopathologies such as anxiety and depression [13, 14]. Thus, understanding mechanisms associated with this strategy is important for developing comprehensive theories of ER and has potential clinical utility.
Current understanding of neural mechanisms supporting ER stems primarily from studies of reappraisal – a strategy that involves changing emotional impact by changing the meaning of a stimulus or event [6]. Reappraisal is a complex strategy that involves several sub-processes, including constructing appraisals, holding information in working memory, and deploying attention to relevant features of stimuli. Accordingly, reappraisal may reflect features common across many ER strategies, such as cognitive control, and may actually encompass more specific strategies like AD. For example, eye-tracking studies have demonstrated that people fixate away from arousing information when using reappraisal to down-regulate emotion [15*, 16]. Further, gaze accounts for a significant proportion of activation changes in reappraisal-related brain regions [16], suggesting that neural activation during reappraisal may, to some degree, reflect AD.
We begin with an overview of the large fMRI literature on reappraisal. We will then compare reappraisal findings to those from the more limited literature on the neural mechanisms of visual AD, highlighting the key role of parietal regions during AD. We will conclude with potential applications for utilizing AD studies to examine ER across the lifespan and to inform interventions for individuals with psychopathology.
Neural Mechanisms of Reappraisal
Reduced amygdala activation is often considered a hallmark of reappraisal success, and is typically assumed to represent changes in emotional reactivity. The amygdala reflects bottom-up detection and processing of emotional stimuli [17], but amygdala activation can also be modified by an individual’s goals, competing attentional demands, and willful efforts to regulate emotion [18, 19]. Meta-analyses demonstrate that amygdala activity is reduced when individuals use reappraisal to down-regulate negative affect [20*, 21].
During reappraisal, reduced amygdala activation is typically accompanied by increased frontoparietal activation associated with cognitive control [19]. Meta-analyses report that reappraisal is consistently associated with increased activation in dorsolateral prefrontal cortex (DLPFC), dorsomedial prefrontal cortex (DMPFC), ventrolateral prefrontal cortex (VLPFC), parietal, and temporal regions [20*, 21], and less consistently in the ventromedial prefrontal cortex (VMPFC) [22]. The majority of these regions are considered cognitive control regions because of their activation in non-affective studies involving cognitive processes such as working memory [23] or attentional control [24]. Prefrontal regions such as the DMPFC and DLPFC, and parietal regions are specifically implicated in attentional or oculomotor control [24], and are particularly relevant to studies of AD.
Connectivity analyses have also supported a role of these cognitive control regions in the down-regulation of amygdala activation and negative affect. During reappraisal, inverse correlations between the amygdala and regions of the prefrontal cortex, including the lateral PFC and [25] and the VMPFC [26] have been reported. Greater coupling between the amygdala and prefrontal regions and the DMPFC has also been associated with reduced negative affect [27]. Connections between the amygdala and a subset of prefrontal regions (particularly the medial PFC) [28], and some parietal regions [29] provide anatomical feasibility for these findings. Control regions lacking direct connections to the amygdala may exert indirect regulatory effects on the amygdala through anatomical connections with prefrontal and parietal regions that have direct connection to the amygdala [30].
Reappraisal studies provide a foundation for understanding control mechanisms associated with ER, which may inform our understanding of more specific strategies like AD. Most notably, DLPFC and parietal regions can reflect attentional control, which is common to both reappraisal and AD. Despite evidence that AD is a powerful means to regulate emotion, investigations into the neural mechanisms supporting AD are largely lacking. Our lab conducted a series of event-related potential (ERP) and functional magnetic resonance imaging (fMRI) studies asking participants to direct visual attention within the context of an unpleasant image in order to interrogate the neural correlates of AD, more specifically.
Neural Mechanisms of Attentional Deployment
We first investigated AD through a series of studies measuring the late positive potential (LPP) – a central-parietal ERP component that is larger for emotional than neutral stimuli [31]. In the first of these studies, participants passively viewed unpleasant and neutral images for 3 seconds, after which a circle directed attention to either an arousing or a non-arousing portion of the unpleasant image [32]. The LPP was enhanced in response to emotional images during passive viewing and when attention was directed to an arousing region, but not when attention was directed to a non-arousing region. Similarly, initially directing attention to a non-arousing region also reduced the LPP, suggesting AD can impact neural response even before full awareness of unpleasant content [37]. Using a tone, rather than a visual cue, to direct attention to arousing or non-arousing regions of unpleasant images produced an analogous effect [33]. These findings are in concert with reports of reduced LPP magnitude during reappraisal [34], and suggest that AD impacts the LPP in an equally dramatic fashion. Nonetheless, ERP studies using the LPP were unable to differentiate mechanisms associated with AD versus reappraisal.
Using a modified version of the same paradigm, we investigated specific brain regions associated with AD in two independent fMRI studies, one of which involved simultaneously collecting eye-tracking data [12*]. In both studies, we made direct comparisons between focusing on an arousing region and focusing on a non-arousing region of unpleasant visual stimuli in order to isolate the effect of AD while controlling for the general demand of focusing attention. Across both studies, focusing attention on non-arousing, compared to arousing, content activated prefrontal (including DLPFC and DMPFC) and parietal regions, despite similar task demands across conditions. Across both studies, directing attention away from unpleasant content was associated with reduced negative affect, however directing attention away from unpleasant content was only associated with reduced amygdala activation when task compliance was monitored with eye-tracking [12*]. These findings suggested that, like reappraisal, AD may down-regulate amygdala activation via prefrontal and parietal control regions. Considering the reflexive way in which attention is directed to emotional content, activation in these control regions during AD might reflect the increased effort required to disengage attention from emotional content and hold attention elsewhere.
To more closely compare AD findings to those from reappraisal studies, which typically contrast reappraisal against a passive viewing baseline [35], we then compared focusing on arousing or non-arousing content to passive viewing. Focusing on both arousing and non-arousing regions, compared to passive viewing, was associated with increases in prefrontal and parietal regions, reflecting the demand of directing attention within an emotional context. However, only directing attention to a non-arousing region was associated with changes in amygdala activation. These findings are similar to studies demonstrating prefrontal and parietal increases during up- and down-regulation of emotional experiences via reappraisal [20*].
We subsequently explored relationships between the amygdala and control regions when directing attention to arousing or non-arousing regions relative to passive viewing by employing a psychophysiological interaction analysis (PPI). Directing attention away from unpleasant information was associated with increased connectivity only between the amygdala and the precuneus [36*]. Further, increased amygdala-precuneus coupling was associated with increased eye-tracking measures compliance (i.e., staying in the non-arousing region as instructed), and increased use of reappraisal in daily life, suggesting connectivity between these regions is important for successful implementation of AD, and ER more broadly. Amygdala-precuneus connectivity has been previously reported in other ER paradigms [37], and during resting state connectivity studies, which show negative connectivity between the amygdala and precuneus, and positive connectivity between the precuneus and prefrontal regions [38].
Considering all of these studies, directing attention away from unpleasant content was associated with a reduced LPP, reduced negative affect, reduced amygdala activation, increased fronto-parietal activation, and increased amygdala-precuneus connectivity. Although these findings are based on a small number of studies and further investigation is warranted, they suggest that, like reappraisal, successful AD may involve the down-regulation of negative affect and amygdala activation through the recruitment of cognitive control regions— perhaps the precuneus in particular.
Conclusions & Implications
AD has strong potential for investigating neural mechanisms of ER: it can be assessed using multiple neural measures, compliance can be measured through eye-tracking, and difficulty can be equated across conditions. As AD is a common ER strategy, understating neural mechanisms supporting AD is important for refining general theories of ER. However, AD is also ideally suited to investigating ER in special populations, particularly in young children, older adults, and in clinical samples characterized by aberrant attention to emotion.
AD can be used to study the normative development of ER as very young children and the elderly utilize it to regulate affect and behavior. In contrast, reappraisal may be difficult or impossible for young children [39, 40] as the ability to construct appraisals develops through adolescence, potentially mirroring the development of prefrontal regions [41]. Older adults also demonstrate difficulties employing reappraisal, which may be mediated by age-related decline in prefrontal function [42]. Conversely, AD is one of the first strategies to emerge in children: it is evident in 4 month old infants [43], and children begin to deliberately use it to regulate behavior between the ages of 3 and 5 [44], as orienting and executive control networks develop [45]. AD use continues through the lifespan, and older adults are adept at improving mood by redirecting attention [9, 10], which may factor into increased well-being in older adulthood [11]. AD paradigms may be a plausible means to assess neural mechanisms of ER in children and older adults, which may inform developmental theories of ER and provide insight into adaptive ER and its relation to well-being across the lifespan.
Investigating AD may also be useful for designing and refining interventions for anxiety and depression, where aberrant attention to emotion is a core feature [13, 14]. For example, a recent study showed that distraction is more effective at reducing negative affect in depression than reappraisal [46*]. Attentional training appears to have some impact on attention to affective stimuli, and on reductions in symptom severity in anxiety and depression [47, 48]. Similarly, mindfulness training may target and lead to more flexible AD, improve anxiety symptoms [49] and strengthen connectivity between control regions [50]. Improvements in attentional control and associated connectivity may also influence functional relationships between parietal regions and the amygdala during affective processing. A simple AD paradigm might serve as a means to first assess deficits in neural activation and connectivity patterns during affective processing, and then for tracking the impact of training on neural function and emotional reactivity.
In conclusion, AD is a ubiquitous yet understudied ER strategy that demonstrates great promise for scientific investigations of ER. Future studies on AD hold the promise to advance both affective neuroscience and clinical science by elucidating neural mechanisms associated with the normative development of AD and as a targeted mechanism for better understanding well-being and psychopathology.
Highlights.
Attentional deployment (AD) and reappraisal reduce the late positive potential (LPP).
AD and reappraisal increase frontoparietal and decrease amygdala activity.
AD involves enhanced connectivity between the precuneus and the amygdala.
Precuneus-amygdala connectivity relates to AD compliance and trait reappraisal.
Footnotes
Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
References
- 1.Calvo M, Lang P. Gaze Patterns When Looking at Emotional Pictures: Motivationally Biased Attention. Motivation and Emotion. 2004;28(3):221–243. [Google Scholar]
- 2.Lang PJ, Bradley MM, Cuthbert B. Motivated attention: Affect, activation, and action. In: Lang PJ, Simons RF, Balaban MT, editors. Attention and orienting: Sensory and motivational processes. Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.; 1997. pp. 97–135. [Google Scholar]
- 3.West GL, Anderson AAK, Pratt J. Motivationally significant stimuli show visual prior entry: Evidence for attentional capture. Journal of Experimental Psychology: Human Perception and Performance. 2009;35(4):1032–1042. doi: 10.1037/a0014493. [DOI] [PubMed] [Google Scholar]
- 4.Bradley MM, et al. Remembering pictures: Pleasure and arousal in memory. Journal of Experimental Psychology: Learning, Memory, and Cognition. 1992;18(2):379–390. doi: 10.1037//0278-7393.18.2.379. [DOI] [PubMed] [Google Scholar]
- 5.Rock I, Gutman D. The effect of inattention on form perception. Journal of Experimental Psychology. 1981;7(2):275–285. doi: 10.1037//0096-1523.7.2.275. [DOI] [PubMed] [Google Scholar]
- 6.Gross JJ. The emerging field of emotion regulation: An integrative review. Review of General Psychology. 1998;2(3):271–299. [Google Scholar]
- 7.Mangelsdorf SC, Shapiro JR, Marzolf D. Developmental and temperamental differences in emotional regulation in infancy. Child Development. 1995;66(6):1817–1828. [PubMed] [Google Scholar]
- 8.Mischel W, Ayduk O. Willpower in a cognitive affect processing system: The dynamics of delay of gratification. In: Vohs KD, Baumeister RF, editors. Handbook of self-regulation: Research, theory, and applications. 2nd ed. New York, NY US: Guilford Press; 2011. pp. 83–105. [Google Scholar]
- 9.Isaacowitz DM, Toner K, Neupert SD. Use of gaze for real-time mood regulation: Effects of age and attentional functioning. Psychology and Aging. 2009;24(4):989–994. doi: 10.1037/a0017706. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Isaacowitz DM, et al. Selective preference in visual fixation away from negative images in old age? An eye-tracking study. Psychology and Aging. 2006;21(1):40–48. doi: 10.1037/0882-7974.21.1.40. [DOI] [PubMed] [Google Scholar]
- 11.Mather M, Carstensen L. Aging and motivated cognition: the positivity effect in attention and memory. Trends in Cognitive Sciences. 2005;9:496–502. doi: 10.1016/j.tics.2005.08.005. [DOI] [PubMed] [Google Scholar]
- 12. Ferri J, et al. Neural correlates of attentional deployment within unpleasant pictures. NeuroImage. 2013;70:268–277. doi: 10.1016/j.neuroimage.2012.12.030. This was the first fmri study to examine the neural correlates of directing visual attention to more or less arousing regions of an unpleasant image; one study involved the simultaneous collection of eye-tracking data. The authors report reduced negative affect and increases in frontoparietal control networks across both studies when directing attention to non-arousing regions of unpleasant images. The authors report reduced amygdala activation when direction attention to non-arousing regions only when monitoring eye-movements.
- 13.Bar-Haim Y, et al. Threat-related attentional bias in anxious and nonanxious individuals: A meta-analytic study. Psychological Bulletin. 2007;133(1):1–24. doi: 10.1037/0033-2909.133.1.1. [DOI] [PubMed] [Google Scholar]
- 14.Sears CR, et al. Attentional biases in dysphoria: An eye-tracking study of the allocation and disengagement of attention. Cognition and Emotion. 2010;24(8):1349–1368. [Google Scholar]
- 15. Manera V, et al. The eyes have it: The role of attention in cognitive reappraisal of social stimuli. Emotion. 2014;14(5):833–839. doi: 10.1037/a0037350. This eye-tracking study asks individuals to use rappraisal to increase or decrease emotion while watching videos of individuals in negative moods. The authors report that individuals focus more or less on emotional regions of the face depending on regulation goal. The effects of reappraisal were mediated by attention to emotional regions of the face, but direct effects of reappraisal reamianed even when controlling for visual attention, highlighting the distinct yet interacting impact of each strategy.
- 16.van Reekum CM, et al. Gaze fixations predict brain activation during the voluntary regulation of picture-induced negative affect. Neuroimage. 2007;36(3):1041–1055. doi: 10.1016/j.neuroimage.2007.03.052. [DOI] [PubMed] [Google Scholar]
- 17.Lindquist KA, et al. The brain basis of emotion: a meta-analytic review. The Behavioral And Brain Sciences. 2012;35(3):121–143. doi: 10.1017/S0140525X11000446. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Pessoa L, Padmala S, Morland T. Fate of unattended fearful faces in the amygdala is determined by both attentional resources and cognitive modulation. Neuroimage. 2005;28(1):249–255. doi: 10.1016/j.neuroimage.2005.05.048. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Ochsner KN, Silvers JA, Buhle JT. 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. 2012;1251:E1–E24. doi: 10.1111/j.1749-6632.2012.06751.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Buhle JT, et al. Cognitive reappraisal of emotion: a meta-analysis of human neuroimaging studies. Cerebral Cortex (New York, N.Y.: 1991) 2014;24(11):2981–2990. doi: 10.1093/cercor/bht154. This meta-analysis of 48 neuroimaging studies of reappraisal reports that reappraisal consistently involves activation of prefrontal and parietal cognitive control regions and the temporal cortex, and modulates amygdala activation. The authors suggest that control regions modulate semantic representations of emotional stimuli which in turn alter amygdala activation.
- 21.Kohn N, et al. Neural network of cognitive emotion regulation—An ALE meta-analysis and MACM analysis. NeuroImage. 2014;87:345–355. doi: 10.1016/j.neuroimage.2013.11.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Diekhof EK, et al. Fear is only as deep as the mind allows: a coordinate-based meta-analysis of neuroimaging studies on the regulation of negative affect. Neuroimage. 2011;58(1):275–285. doi: 10.1016/j.neuroimage.2011.05.073. [DOI] [PubMed] [Google Scholar]
- 23.Wager TD, Smith EE. Neuroimaging studies of working memory: a meta-analysis. Cogn Affect Behav Neurosci. 2003;3:255–274. doi: 10.3758/cabn.3.4.255. [DOI] [PubMed] [Google Scholar]
- 24.Corbetta M. Frontoparietal cortical networks for directing attention and the eye to visual locations: identical, independent, or overlapping neural systems? Proceedings Of The National Academy Of Sciences Of The United States Of America. 1998;95(3):831–838. doi: 10.1073/pnas.95.3.831. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Ochsner KN, et al. Rethinking Feelings: An fMRI Study of the Cognitive Regulation of Emotion. Journal of Cognitive Neuroscience. 2002;14(8):1215–1229. doi: 10.1162/089892902760807212. [DOI] [PubMed] [Google Scholar]
- 26.Urry HL, et al. Amygdala and ventromedial prefrontal cortex are inversely coupled during regulation of negative affect and predict the diurnal pattern of cortisol secretion among older adults. The Journal Of Neuroscience: The Official Journal Of The Society For Neuroscience. 2006;26(16):4415–4425. doi: 10.1523/JNEUROSCI.3215-05.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Banks SJ, et al. Amygdala-frontal connectivity during emotion regulation. Social Cognitive and Affective Neuroscience. 2007;2(4):303–312. doi: 10.1093/scan/nsm029. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Ray RD, Zald DH. Anatomical insights into the interaction of emotion and cognition in the prefrontal cortex. Neuroscience and Biobehavioral Reviews. 2012;36(1):479–501. doi: 10.1016/j.neubiorev.2011.08.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Parvizi J, et al. Neural connections of the posteromedial cortex in the macaque. Proceedings Of The National Academy Of Sciences Of The United States Of America. 2006;103(5):1563–1568. doi: 10.1073/pnas.0507729103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Petrides M, Pandya DN. Projections to the frontal cortex from the posterior parietal region in the rhesus monkey. The Journal Of Comparative Neurology. 1984;228(1):105–116. doi: 10.1002/cne.902280110. [DOI] [PubMed] [Google Scholar]
- 31.Schupp HT, et al. Affective picture processing: The late positive potential is modulated by motivational relevance. Psychophysiology. 2000;37(02):257–261. [PubMed] [Google Scholar]
- 32.Dunning J, Hajcak G. See no evil: Directing visual attention within unpleasant images modulates the electrocortical response. Psychophysiology. 2009;46(1):28–33. doi: 10.1111/j.1469-8986.2008.00723.x. [DOI] [PubMed] [Google Scholar]
- 33.Hajcak G, Dunning J, Foti D. Motivated and controlled attention to emotion: Time-course of the late positive potential. Clinical Neurophysiology. 2009;120:505–510. doi: 10.1016/j.clinph.2008.11.028. [DOI] [PubMed] [Google Scholar]
- 34.Hajcak G, Nieuwenhuis S. Reappraisal modulates the electrocortical response to unpleasant pictures. Cognitive, Affective & Behavioral Neuroscience. 2006;6(4):291–297. doi: 10.3758/cabn.6.4.291. [DOI] [PubMed] [Google Scholar]
- 35.Diers K, et al. Instructions matter: a comparison of baseline conditions for cognitive emotion regulation paradigms. Frontiers In Psychology. 2014;5:347–347. doi: 10.3389/fpsyg.2014.00347. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Ferri J, et al. Emotion regulation and amgydala-precuneus connectivity: Focusing on attentional deployment. doi: 10.3758/s13415-016-0447-y. under review. In this study, the authors compare focusing on an arousing region or a non-arousing region to passive viewing in a combined eye-tracking and fMRI study. Focusing attention on either a non-arousing or arousing region resulted in increased activation in frontal and parietal regions, while focusing on a non-arousing region was associated with reduced amygdala activaiton. The authors report increased connectivity between the amygdala and the precuneus when focusing on a non-arousing region, which was correlated with visual compliance and trait reappraisal.
- 37.Kanske P, et al. How to regulate emotion? Neural networks for reappraisal and distraction. Cerebral Cortex. 2011;21(6):1379–1388. doi: 10.1093/cercor/bhq216. [DOI] [PubMed] [Google Scholar]
- 38.Zhang S, Li C-SR. Functional connectivity mapping of the human precuneus by resting state fMRI. NeuroImage. 2012;59(4):3548–3562. doi: 10.1016/j.neuroimage.2011.11.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.DeCicco JM, Solomon B, Dennis T. Neural Correlates of cognitive reappraisal in children: An ERP study. Developmental Cognitive Neuroscience. 2012;2(1):70–80. doi: 10.1016/j.dcn.2011.05.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Hajcak G, Dennis T. Brain potentials during affective picture processing in children. Biological Psychiatry. 2009;80(3):333–338. doi: 10.1016/j.biopsycho.2008.11.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Casey BJ, et al. The storm and stress of adolescence: Insights from human imaging and mouse genetics. Developmental Psychobiology. 2010;52(3):225–235. doi: 10.1002/dev.20447. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Opitz PC, et al. Prefrontal mediation of age differences in cognitive reappraisal. Neurobiology of Aging. 2012;33(4):645–655. doi: 10.1016/j.neurobiolaging.2010.06.004. [DOI] [PubMed] [Google Scholar]
- 43.Rothbart MK, Ziaei H, O'Boyle C. Self-regulation and emotion in infancy. In: Eisenberg N, Fabes RA, editors. Emotion and its regulation in early development: New directions for child development, No. 55: The Jossey-Bass education series. San Francisco: Jossey-Bass Publishers; 1992. pp. 7–23. [DOI] [PubMed] [Google Scholar]
- 44.Zelazo PD, Reznick JS, Piñon DE. Response control and the execution of verbal rules. Developmental Psychology. 1995;31(3):508–517. [Google Scholar]
- 45.Posner MI, et al. Control networks and neuromodulators of early development. Developmental Psychology. 2012;48(3):827–835. doi: 10.1037/a0025530. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Smoski MJ, LaBar KS, Steffens DC. Relative effectiveness of reappraisal and distraction in regulating emotion in late-life depression. The American Journal Of Geriatric Psychiatry: Official Journal Of The American Association For Geriatric Psychiatry. 2014;22(9):898–907. doi: 10.1016/j.jagp.2013.01.070. This study compares the impact of reappraisal and distraction on negative affect in older adults with and without major deprssive disorder (MDD). The authors report that distraction is more effective than reappraisal at reducing negative affect, particularly in individuals with MDD.
- 47.Baert S, et al. Attentional bias training in depression: Therapeutic effects depend on depression severity. Journal of Behavior Therapy and Experimental Psychiatry. 2010;41(3):265–274. doi: 10.1016/j.jbtep.2010.02.004. [DOI] [PubMed] [Google Scholar]
- 48.Schmidt NB, et al. Attention training for generalized social anxiety disorder. Journal of Abnormal Psychology. 2009;118(1):5–14. doi: 10.1037/a0013643. [DOI] [PubMed] [Google Scholar]
- 49.Goldin PR, Gross JJ. Effects of mindfulness-based stress reduction (MBSR) on emotion regulation in social anxiety disorder. Emotion. 2010;10(1):83–91. doi: 10.1037/a0018441. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Hasenkamp W, Barsalou LW. Effects of meditation experience on functional connectivity of distributed brain networks. Frontiers in Human Neuroscience. 2012;6 doi: 10.3389/fnhum.2012.00038. [DOI] [PMC free article] [PubMed] [Google Scholar]
