功能磁共振成像
心理学
扁桃形结构
认知心理学
神经影像学
认知
联想(心理学)
特质
前额叶皮质
神经科学
心理干预
情感科学
大脑活动与冥想
大脑定位
生物神经网络
表达抑制
功能成像
心理化
控制(管理)
情绪调节
神经功能成像
心理教育
情感神经科学
功能连接
过程(计算)
认知再评价
意识的神经相关物
表达的情感
同种类的
情感(语言学)
作者
Maurizio Sicorello,Jenny Zaehringer,Thomas E. Kraynak,Peter J. Gianaros,Stephan Nebe,Lena M. Paschke,Rosa Steimke,Christine Stelzel,Henrik Walter,Kevin S. LaBar,John L. Graner,Sang Hee Kim,Michèle Wessa,Magdalena Sandner,Franziska Weinmar,Birgit Derntl,Nathan T. M. Huneke,Harry A. Fagan,Guillén Fernández,Linlin Yan
出处
期刊:Nature
[Nature Portfolio]
日期:2026-10-28
被引量:1
标识
DOI:10.1038/s41586-026-11203-1
摘要
Abstract Cognitive reappraisal refers to changing how one thinks about a situation to alter its emotional impact. It is central to well-being 1 and engages prefrontal regulatory circuits 2 , prompting the assumption that their activity reflects a person’s capacity to regulate emotions 3–5 . Yet evidence for this assumption remains inconclusive and has not been established at scale. Here we analysed 40 task-based functional magnetic resonance imaging (fMRI) datasets in a preregistered consortium with 2,175 participants and show that three widely used indicators of reappraisal capacity—trait questionnaires, task-based affective ratings and amygdala down-regulation—do not converge on a common core. Moreover, none of the three indicators showed the expected association with canonical prefrontal regulatory circuits. Trait questionnaires showed no detectable neural associations across the brain and task-based affective ratings were instead associated with responses in the amygdala and sensorimotor cortices. At the process level, canonical control circuits were engaged during both emotion generation and reappraisal, challenging their presumed specificity for emotion regulation. These findings caution against using activation in putatively regulatory brain regions to infer how well a person regulates emotions, with implications for neural biomarkers, interventions and psychoeducation that link emotion regulation difficulties to specific regional brain deficits.
科研通智能强力驱动
Strongly Powered by AbleSci AI