{"id":898203,"date":"2026-10-29T01:54:15","date_gmt":"2026-10-29T01:54:15","guid":{"rendered":"https:\/\/www.newsbeep.com\/us\/898203\/"},"modified":"2026-10-29T01:54:15","modified_gmt":"2026-10-29T01:54:15","slug":"emotion-regulation-capacity-lacks-a-shared-neural-signature","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/us\/898203\/","title":{"rendered":"Emotion regulation capacity lacks a shared neural signature"},"content":{"rendered":"

Sheppes, G., Suri, G. & Gross, J. J. Emotion regulation and psychopathology. Annu. Rev. Clin. Psychol. 11, 379\u2013405 (2015).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Morawetz, C. et al. Multiple large-scale neural networks underlying emotion regulation. Neurosci. Biobehav. Rev. 116, 382\u2013395 (2020).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Morawetz, C. & Basten, U. Neural underpinnings of individual differences in emotion regulation: A systematic review. Neurosci. Biobehav. Rev. 162, 105727 (2024).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Sicorello, M. & Schmahl, C. Emotion dysregulation in borderline personality disorder: a fronto\u2013limbic imbalance?\u00a0Curr. Opin. Psychol. 37, 114\u2013120 (2021).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Pic\u00f3-P\u00e9rez, M., Radua, J., Steward, T., Mench\u00f3n, 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\u2013104 (2017).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

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<\/a> (2026).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Tschentscher, N. et al. The clinical impact of real-time fMRI neurofeedback on emotion regulation: a systematic review. Brain Sci. 14, 700 (2024).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Goldental, N. et al. Amygdala EFP neurofeedback effects on PTSD symptom clusters and emotional regulation processes. J. Clin. Med. 14, 2421 (2025).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Kievit, R. A., Frankenhuis, W. E., Waldorp, L. J. & Borsboom, D. Simpson\u2019s paradox in psychological science: a practical guide. Front. Psychol. https:\/\/doi.org\/10.3389\/fpsyg.2013.00513<\/a>. (2013).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Kragel, P. A. et al. Generalizable representations of pain, cognitive control, and negative emotion in medial frontal cortex. Nat. Neurosci. 21, 283\u2013289 (2018).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

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\u2013146 (2018).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Sicorello, M. et al. The functional neurobiology of dispositions towards negative emotions. Nat. Commun. 17, 5622 (2026).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Marek, S. et al. Reproducible brain-wide association studies require thousands of individuals. Nature 603, 654\u2013660 (2022).<\/p>\n

Article<\/a>\u00a0
\n ADS<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

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\u20131325 (2022).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

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).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

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\u2013373 (2009).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

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\u20137 (2012).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Silvers, J. A. & Guassi Moreira, J. F. Capacity and tendency: a neuroscientific framework for the study of emotion regulation. Neurosci. Lett. 693, 35\u201339 (2019).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

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).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

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\u20131040 (2012).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Brehl, A.-K., Schene, A., Kohn, N. & Fern\u00e1ndez, 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).<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

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).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Wager, T. D. CanlabCore. GitHub https:\/\/github.com\/canlab\/CanlabCore<\/a> (2024).<\/p>\n

Wager, T. D., Davidson, M. L., Hughes, B. L., Lindquist, M. A. & Ochsner, K. N. Prefrontal\u2013subcortical pathways mediating successful emotion regulation. Neuron 59, 1037\u20131050 (2008).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Thomas Yeo, B. T. et al. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J. Neurophysiol. 106, 1125\u20131165 (2011).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Hedge, C., Powell, G. & Sumner, P. The reliability paradox: why robust cognitive tasks do not produce reliable individual differences. Behav. Res. Methods 50, 1166\u20131186 (2018).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

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\u2013891 (2025).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Mauss, I. B. & Robinson, M. D. Measures of emotion: a review. Cogn. Emot. 23, 209\u2013237 (2009).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

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<\/a> (2019).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

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\u201328 (2015).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Zhou, F. et al. A distributed fMRI-based signature for the subjective experience of fear. Nat. Commun. 6643 (2021).<\/p>\n

Cunningham, W. A. & Brosch, T. Motivational salience: amygdala tuning from traits, needs, values, and goals. Curr. Dir. Psychol. Sci. 21, 54\u201359 (2012).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Par\u00e9, D. & Headley, D. B. The amygdala mediates the facilitating influence of emotions on memory through multiple interacting mechanisms. Neurobiol. Stress 24, 100529 (2023).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Marek, S. et al. Patterns of brain-wide associations reflect socioeconomics. Science 392, eaee6213 (2026).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Hu, Y.-T. et al. Motor cortex repetitive transcranial magnetic stimulation in major depressive disorder \u2014 a preliminary randomized controlled clinical trial. J. Affect. Disord. 344, 169\u2013175 (2024).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Bramson, B., Toni, I. & Roelofs, K. Emotion regulation from an action-control perspective. Neurosci. Biobehav. Rev. 153, 105397 (2023).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Suri, G. Affordances and the mechanisms underlying reappraisal. in Handbook of Emotion Regulation 3rd edn, 104\u2013111 (Guilford Press, 2024).<\/p>\n

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\u2013102 (2025).<\/p>\n

PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

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\u20131871 (2016).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Inzlicht, M., Werner, K. M., Briskin, J. L. & Roberts, B. W. Integrating models of self-regulation. Annu. Rev. Psychol. 72, 319\u2013345 (2021).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Barrett, L. F. The theory of constructed emotion: an active inference account of interoception and categorization. Soc. Cogn. Affect. Neurosci. 12, 1\u201323 (2017).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Kohoutov\u00e1, L. et al. Individual variability in brain representations of pain. Nat. Neurosci. 25, 749\u2013759 (2022).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

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).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Menon, V. Large-scale brain networks and psychopathology: a unifying triple network model. Trends Cogn. Sci. 15, 483\u2013506 (2011).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Krishnamurthy, V. et al. Correcting task fMRI signals for variability in baseline CBF improves BOLD\u2013behavior relationships: a feasibility study in an aging model. Front. Neurosci. 14, 336 (2020).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Downar, J. & Daskalakis, Z. J. New targets for rTMS in depression: a review of convergent evidence. Brain Stimulat. 6, 231\u2013240 (2013).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Berboth, S. & Morawetz, C. Amygdala-prefrontal connectivity during emotion regulation: a meta-analysis of psychophysiological interactions. Neuropsychologia 153, 107767 (2021).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

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).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

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\u2013356 (2020).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Gianaros, P. J. et al. Affective brain patterns as multivariate neural correlates of cardiovascular disease risk. Soc. Cogn. Affect. Neurosci. 15, 1034\u20131045 https:\/\/doi.org\/10.1093\/scan\/nsaa050<\/a> (2020).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

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\u2013362 (2003).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Jermann, F., Van der Linden, M., d’Acremont, M. & Zermatten, A. Cognitive emotion regulation questionnaire (CERQ). Eur. J. Psychol. Assess. 22, 126\u2013131 (2006).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Grob, A. & Horowith, D. FEEL-E: Fragebogen Zur Erhebung Der Emotionsregulation Bei Erwachsenen (Hans Huber, 2014).<\/p>\n

Ouzzani, M., Hammady, H., Fedorowicz, Z. & Elmagarmid, A. Rayyan\u2014a web and mobile app for systematic reviews. Syst. Rev. 5, 210 (2016).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

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).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Morawetz, C., Bode, S., Baudewig, J., Jacobs, A. M. & Heekeren, H. R. (2016) Neural representation of emotion regulation goals. Hum. Brain Mapp. 37, 600\u2013620 (2016).<\/p>\n

Paret, C. et al. Survey on open science practices in functional neuroimaging. NeuroImage 257, 119306 (2022).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Eisenhauer, J. G. Meta-analysis and mega-analysis: a simple introduction. Teach. Stat. 43, 21\u201327 (2021).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Koile, E. & Cristia, A. Toward cumulative cognitive science: a comparison of meta-analysis, mega-analysis, and hybrid approaches. Open Mind 5, 154\u2013173 (2021).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Balduzzi, S., R\u00fccker, G. & Schwarzer, G. How to perform a meta-analysis with R: a practical tutorial. Evid. Based Ment. Health 22, 153\u2013160 (2019).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Borenstein, M., Larry V., H., Julian P.T., H. & Hannah R. R. Introduction to Meta-Analysis (John Wiley & Sons, 2009).<\/p>\n

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<\/a> (2019).<\/p>\n

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\u2013670 (2011).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Jarosz, A. F. & Wiley, J. What are the odds? A practical guide to computing and reporting Bayes factors. J. Probl. Solving 7, 2 (2014).<\/p>\n


\n Google Scholar<\/a>\u00a0\n <\/p>\n

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\u2013138 (2017).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Pramanik, S. & Johnson, V. E. Efficient alternatives for Bayesian hypothesis tests in psychology. Psychol. Methods 29, 243\u2013261 (2024).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

Gignac, G. E. & Szodorai, E. T. Effect size guidelines for individual differences researchers. Personal. Individ. Differ. 102, 74\u201378 (2016).<\/p>\n

Article<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

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\u20132013. J. Open. Psychol. Data 5, 4 https:\/\/doi.org\/10.5334\/jopd.33<\/a> (2017).<\/p>\n

de Jong, T. A Bayesian approach to the correction for multiplicity. Preprint at OSF https:\/\/doi.org\/10.31234\/osf.io\/s56mk<\/a> (2019).<\/p>\n

Li, J. & Ji, L. Adjusting multiple testing in multilocus analyses using the eigenvalues of a correlation matrix. Heredity 95, 221\u2013227 (2005).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

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<\/a> (2026).<\/p>\n

Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

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\u2013424 (2022).<\/p>\n

Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

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\u2013221 (1980).<\/p>\n

Article<\/a>\u00a0
\n MathSciNet<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n

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<\/a> (CRAN, 2018).<\/p>\n

Sicorello, M. MaurizioSicorello\/NIDER_project: NIDER_project v1.0.0 [computer software]. Zenodo https:\/\/doi.org\/10.5281\/zenodo.22084628<\/a> (2026).<\/p>\n","protected":false},"excerpt":{"rendered":"Sheppes, G., Suri, G. & Gross, J. J. Emotion regulation and psychopathology. Annu. Rev. Clin. Psychol. 11, 379\u2013405…\n","protected":false},"author":2,"featured_media":898204,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[34],"tags":[24527,162474,19262,97,18665,1159,1160,16447,79],"class_list":["post-898203","post","type-post","status-publish","format-standard","has-post-thumbnail","category-health","tag-biomarkers","tag-cognitive-control","tag-emotion","tag-health","tag-human-behaviour","tag-humanities-and-social-sciences","tag-multidisciplinary","tag-personality","tag-science"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts\/898203","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/comments?post=898203"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts\/898203\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/media\/898204"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/media?parent=898203"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/categories?post=898203"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/tags?post=898203"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}