Sheppes, G., Suri, G. & Gross, J. J. Emotion regulation and psychopathology. Annu. Rev. Clin. Psychol. 11, 379–405 (2015).Article
PubMed
Google Scholar
Morawetz, C. et al. Multiple large-scale neural networks underlying emotion regulation. Neurosci. Biobehav. Rev. 116, 382–395 (2020).Article
PubMed
Google Scholar
Morawetz, C. & Basten, U. Neural underpinnings of individual differences in emotion regulation: A systematic review. Neurosci. Biobehav. Rev. 162, 105727 (2024).Article
PubMed
Google Scholar
Sicorello, M. & Schmahl, C. Emotion dysregulation in borderline personality disorder: a fronto–limbic imbalance? Curr. Opin. Psychol. 37, 114–120 (2021).Article
PubMed
Google Scholar
Picó-Pérez, M., Radua, J., Steward, T., Menchón, J. M. & Soriano-Mas, C. Emotion regulation in mood and anxiety disorders: A meta-analysis of fMRI cognitive reappraisal studies. Prog. Neuropsychopharmacol. Biol. Psychiatry 79, 96–104 (2017).Article
PubMed
Google Scholar
Kang, Y. Transcranial focused ultrasound for emotion regulation: A systematic review and quantitative summary of human studies. J. Affect. Disord. https://doi.org/10.1016/j.jad.2026.121621 (2026).Article
PubMed
Google Scholar
Tschentscher, N. et al. The clinical impact of real-time fMRI neurofeedback on emotion regulation: a systematic review. Brain Sci. 14, 700 (2024).Article
PubMed
PubMed Central
Google Scholar
Goldental, N. et al. Amygdala EFP neurofeedback effects on PTSD symptom clusters and emotional regulation processes. J. Clin. Med. 14, 2421 (2025).Article
CAS
PubMed
PubMed Central
Google Scholar
Kievit, R. A., Frankenhuis, W. E., Waldorp, L. J. & Borsboom, D. Simpson’s paradox in psychological science: a practical guide. Front. Psychol. https://doi.org/10.3389/fpsyg.2013.00513. (2013).Article
PubMed
PubMed Central
Google Scholar
Kragel, P. A. et al. Generalizable representations of pain, cognitive control, and negative emotion in medial frontal cortex. Nat. Neurosci. 21, 283–289 (2018).Article
CAS
PubMed
PubMed Central
Google Scholar
McDermott, T. J., Kirlic, N. & Aupperle, R. L. Roadmap for optimizing the clinical utility of emotional stress paradigms in human neuroimaging research. Neurobiol. Stress 8, 134–146 (2018).Article
PubMed
PubMed Central
Google Scholar
Sicorello, M. et al. The functional neurobiology of dispositions towards negative emotions. Nat. Commun. 17, 5622 (2026).Article
CAS
PubMed
PubMed Central
Google Scholar
Marek, S. et al. Reproducible brain-wide association studies require thousands of individuals. Nature 603, 654–660 (2022).Article
ADS
CAS
PubMed
PubMed Central
Google Scholar
Khodadadifar, T. et al. In search of convergent regional brain abnormality in cognitive emotion regulation: a transdiagnostic neuroimaging meta-analysis. Hum. Brain Mapp. 43, 1309–1325 (2022).Article
PubMed
Google Scholar
Morawetz, C., Hemetsberger, F. J., Laird, A. R. & Kohn, N. Emotion regulation: from neural circuits to a transdiagnostic perspective. Neurosci. Biobehav. Rev. 168, 105960 (2025).Article
PubMed
Google Scholar
Drabant, E. M., McRae, K., Manuck, S. B., Hariri, A. R. & Gross, J. J. Individual differences in typical reappraisal use predict amygdala and prefrontal responses. Biol. Psychiatry 65, 367–373 (2009).Article
PubMed
Google Scholar
McRae, K., Jacobs, S. E., Ray, R. D., John, O. P. & Gross, J. J. Individual differences in reappraisal ability: Links to reappraisal frequency, well-being, and cognitive control. J. Res. Personal. 46, 2–7 (2012).Article
Google Scholar
Silvers, J. A. & Guassi Moreira, J. F. Capacity and tendency: a neuroscientific framework for the study of emotion regulation. Neurosci. Lett. 693, 35–39 (2019).Article
CAS
PubMed
Google Scholar
Kang, T. et al. High-intensity transcranial alternating current stimulation for emotion regulation and attentional bias in adolescents with nonsuicidal self-injury: a randomized clinical trial. JAMA Netw. Open 9, e2617336 (2026).Article
PubMed
PubMed Central
Google Scholar
Goldin, P. et al. Cognitive reappraisal self-efficacy mediates the effects of individual cognitive-behavioral therapy for social anxiety disorder. J. Consult. Clin. Psychol. 80, 1034–1040 (2012).Article
PubMed
PubMed Central
Google Scholar
Brehl, A.-K., Schene, A., Kohn, N. & Fernández, G. Maladaptive emotion regulation strategies in a vulnerable population predict increased anxiety during the Covid-19 pandemic: A pseudo-prospective study. J. Affect. Disord. Rep. 4, 100113 (2021).
Google Scholar
Ward, P. G. D. et al. Individual differences in haemoglobin concentration influence bold fMRI functional connectivity and its correlation with cognition. NeuroImage 221, 117196 (2020).Article
CAS
PubMed
PubMed Central
Google Scholar
Wager, T. D. CanlabCore. GitHub https://github.com/canlab/CanlabCore (2024).Wager, T. D., Davidson, M. L., Hughes, B. L., Lindquist, M. A. & Ochsner, K. N. Prefrontal–subcortical pathways mediating successful emotion regulation. Neuron 59, 1037–1050 (2008).Article
CAS
PubMed
PubMed Central
Google Scholar
Thomas Yeo, B. T. et al. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J. Neurophysiol. 106, 1125–1165 (2011).Article
Google Scholar
Hedge, C., Powell, G. & Sumner, P. The reliability paradox: why robust cognitive tasks do not produce reliable individual differences. Behav. Res. Methods 50, 1166–1186 (2018).Article
PubMed
PubMed Central
Google Scholar
Zhang, J.-X., Bo, K., Wager, T. D. & Gross, J. J. The brain bases of emotion generation and emotion regulation. Trends Cogn. Sci. 29, 879–891 (2025).Article
PubMed
Google Scholar
Mauss, I. B. & Robinson, M. D. Measures of emotion: a review. Cogn. Emot. 23, 209–237 (2009).Article
PubMed
PubMed Central
Google Scholar
Taschereau-Dumouchel, V., Kawato, M. & Lau, H. Multivoxel pattern analysis reveals dissociations between subjective fear and its physiological correlates. Mol. Psychiatry https://doi.org/10.1038/s41380-019-0520-3 (2019).Article
PubMed
PubMed Central
Google Scholar
Chang, L. J., Gianaros, P. J., Manuck, S. B., Krishnan, A. & Wager, T. D. A sensitive and specific neural signature for picture-induced negative affect. PLoS Biol. 13, 1–28 (2015).Article
CAS
Google Scholar
Zhou, F. et al. A distributed fMRI-based signature for the subjective experience of fear. Nat. Commun. 6643 (2021).Cunningham, W. A. & Brosch, T. Motivational salience: amygdala tuning from traits, needs, values, and goals. Curr. Dir. Psychol. Sci. 21, 54–59 (2012).Article
Google Scholar
Paré, D. & Headley, D. B. The amygdala mediates the facilitating influence of emotions on memory through multiple interacting mechanisms. Neurobiol. Stress 24, 100529 (2023).Article
PubMed
PubMed Central
Google Scholar
Marek, S. et al. Patterns of brain-wide associations reflect socioeconomics. Science 392, eaee6213 (2026).Article
CAS
PubMed
Google Scholar
Hu, Y.-T. et al. Motor cortex repetitive transcranial magnetic stimulation in major depressive disorder — a preliminary randomized controlled clinical trial. J. Affect. Disord. 344, 169–175 (2024).Article
PubMed
Google Scholar
Bramson, B., Toni, I. & Roelofs, K. Emotion regulation from an action-control perspective. Neurosci. Biobehav. Rev. 153, 105397 (2023).Article
PubMed
Google Scholar
Suri, G. Affordances and the mechanisms underlying reappraisal. in Handbook of Emotion Regulation 3rd edn, 104–111 (Guilford Press, 2024).Herzog, S. et al. A neural signature for reappraisal as an emotion regulation strategy: relationship to stress-related suicidal ideation and negative affect in major depression. Biol. Psychiatry Cogn. Neurosci. Neuroimaging 10, 94–102 (2025).PubMed
Google Scholar
Shafir, R., Thiruchselvam, R., Suri, G., Gross, J. J. & Sheppes, G. Neural processing of emotional-intensity predicts emotion regulation choice. Soc. Cogn. Affect. Neurosci. 11, 1863–1871 (2016).Article
PubMed
PubMed Central
Google Scholar
Inzlicht, M., Werner, K. M., Briskin, J. L. & Roberts, B. W. Integrating models of self-regulation. Annu. Rev. Psychol. 72, 319–345 (2021).Article
PubMed
Google Scholar
Barrett, L. F. The theory of constructed emotion: an active inference account of interoception and categorization. Soc. Cogn. Affect. Neurosci. 12, 1–23 (2017).Article
PubMed
PubMed Central
Google Scholar
Kohoutová, L. et al. Individual variability in brain representations of pain. Nat. Neurosci. 25, 749–759 (2022).Article
PubMed
PubMed Central
Google Scholar
Sicorello, M. et al. Affective neural signatures do not distinguish women with emotion dysregulation from healthy controls: a mega-analysis across three task-based fMRI studies. Neuroimage Rep. 1, 100019 (2021).Article
CAS
PubMed
PubMed Central
Google Scholar
Menon, V. Large-scale brain networks and psychopathology: a unifying triple network model. Trends Cogn. Sci. 15, 483–506 (2011).Article
PubMed
Google Scholar
Krishnamurthy, V. et al. Correcting task fMRI signals for variability in baseline CBF improves BOLD–behavior relationships: a feasibility study in an aging model. Front. Neurosci. 14, 336 (2020).Article
PubMed
PubMed Central
Google Scholar
Downar, J. & Daskalakis, Z. J. New targets for rTMS in depression: a review of convergent evidence. Brain Stimulat. 6, 231–240 (2013).Article
Google Scholar
Berboth, S. & Morawetz, C. Amygdala-prefrontal connectivity during emotion regulation: a meta-analysis of psychophysiological interactions. Neuropsychologia 153, 107767 (2021).Article
PubMed
Google Scholar
Wang, R., Janet, R., Morawetz, C. & Tusche, A. Emotion regulation success involves systematic gradient-based reconfigurations of large-scale activation patterns in the human brain. PLoS Biol. 24, e3003666 (2026).Article
CAS
PubMed
PubMed Central
Google Scholar
Preece, D. A., Becerra, R., Robinson, K. & Gross, J. J. The emotion regulation questionnaire: psychometric properties in general community samples. J. Pers. Assess. 102, 348–356 (2020).Article
PubMed
Google Scholar
Gianaros, P. J. et al. Affective brain patterns as multivariate neural correlates of cardiovascular disease risk. Soc. Cogn. Affect. Neurosci. 15, 1034–1045 https://doi.org/10.1093/scan/nsaa050 (2020).Article
PubMed
PubMed Central
Google Scholar
Gross, J. J. & John, O. P. Individual differences in two emotion regulation processes: implications for affect, relationships, and well-being. J. Pers. Soc. Psychol. 85, 348–362 (2003).Article
PubMed
Google Scholar
Jermann, F., Van der Linden, M., d’Acremont, M. & Zermatten, A. Cognitive emotion regulation questionnaire (CERQ). Eur. J. Psychol. Assess. 22, 126–131 (2006).Article
Google Scholar
Grob, A. & Horowith, D. FEEL-E: Fragebogen Zur Erhebung Der Emotionsregulation Bei Erwachsenen (Hans Huber, 2014).Ouzzani, M., Hammady, H., Fedorowicz, Z. & Elmagarmid, A. Rayyan—a web and mobile app for systematic reviews. Syst. Rev. 5, 210 (2016).Article
PubMed
PubMed Central
Google Scholar
Berboth, S., Windischberger, C., Kohn, N. & Morawetz, C. Test-retest reliability of emotion regulation networks using fMRI at ultra-high magnetic field. NeuroImage 232, 117917 (2021).Article
PubMed
Google Scholar
Morawetz, C., Bode, S., Baudewig, J., Jacobs, A. M. & Heekeren, H. R. (2016) Neural representation of emotion regulation goals. Hum. Brain Mapp. 37, 600–620 (2016).Paret, C. et al. Survey on open science practices in functional neuroimaging. NeuroImage 257, 119306 (2022).Article
PubMed
Google Scholar
Eisenhauer, J. G. Meta-analysis and mega-analysis: a simple introduction. Teach. Stat. 43, 21–27 (2021).Article
Google Scholar
Koile, E. & Cristia, A. Toward cumulative cognitive science: a comparison of meta-analysis, mega-analysis, and hybrid approaches. Open Mind 5, 154–173 (2021).Article
PubMed
PubMed Central
Google Scholar
Balduzzi, S., Rücker, G. & Schwarzer, G. How to perform a meta-analysis with R: a practical tutorial. Evid. Based Ment. Health 22, 153–160 (2019).Article
PubMed
PubMed Central
Google Scholar
Borenstein, M., Larry V., H., Julian P.T., H. & Hannah R. R. Introduction to Meta-Analysis (John Wiley & Sons, 2009).Bossier, H., Nichols, T. E. & Moerkerke, B. Standardized effect sizes and image-based meta-analytical approaches for fMRI data. Preprint at bioRxiv https://doi.org/10.1101/865881 (2019).Yarkoni, T., Poldrack, R. A., Nichols, T. E., Van Essen, D. C. & Wager, T. D. Large-scale automated synthesis of human functional neuroimaging data. Nat. Methods 8, 665–670 (2011).Article
CAS
PubMed
PubMed Central
Google Scholar
Jarosz, A. F. & Wiley, J. What are the odds? A practical guide to computing and reporting Bayes factors. J. Probl. Solving 7, 2 (2014).
Google Scholar
Gronau, Q. F. et al. A Bayesian model-averaged meta-analysis of the power pose effect with informed and default priors: the case of felt power. Compr. Results Soc. Psychol. 2, 123–138 (2017).Article
Google Scholar
Pramanik, S. & Johnson, V. E. Efficient alternatives for Bayesian hypothesis tests in psychology. Psychol. Methods 29, 243–261 (2024).Article
PubMed
Google Scholar
Gignac, G. E. & Szodorai, E. T. Effect size guidelines for individual differences researchers. Personal. Individ. Differ. 102, 74–78 (2016).Article
Google Scholar
van Erp, S., Verhagen, J., Grasman, R. P. P. P. & Wagenmakers, E.-J. Estimates of between-study heterogeneity for 705 meta-analyses reported in Psychological Bulletin from 1990–2013. J. Open. Psychol. Data 5, 4 https://doi.org/10.5334/jopd.33 (2017).de Jong, T. A Bayesian approach to the correction for multiplicity. Preprint at OSF https://doi.org/10.31234/osf.io/s56mk (2019).Li, J. & Ji, L. Adjusting multiple testing in multilocus analyses using the eigenvalues of a correlation matrix. Heredity 95, 221–227 (2005).Article
CAS
PubMed
Google Scholar
Jiang, H. et al. Common and distinct neurofunctional signatures of dynamic naturalistic emotion regulation strategies. Nat. Commun. 17, 4272 https://doi.org/10.1038/s41467-026-70708-5 (2026).Article
CAS
PubMed
PubMed Central
Google Scholar
Gianaros, P. J. et al. Multivariate brain activity while viewing and reappraising affective scenes does not predict the multiyear progression of preclinical atherosclerosis in otherwise healthy midlife adults. Affect. Sci. 3, 406–424 (2022).Article
PubMed
PubMed Central
Google Scholar
Searle, S. R., Speed, F. M. & Milliken, G. A. Population marginal means in the linear model: an alternative to least squares means. Am. Stat. 34, 216–221 (1980).Article
MathSciNet
Google Scholar
Morey, R. D. & Rouder, J. N. BayesFactor: computation of Bayes factors for common designs. R package version 0.9.12-4.2 https://cran.r-project.org/web/packages/BayesFactor (CRAN, 2018).Sicorello, M. MaurizioSicorello/NIDER_project: NIDER_project v1.0.0 [computer software]. Zenodo https://doi.org/10.5281/zenodo.22084628 (2026).