Emotion regulation capacity lacks a shared neural signature

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).