Common and distinct neurofunctional signatures of dynamic naturalistic emotion regulation strategies

H Heng Jiang J Jingxian He K Kaeli Zimmermann X Xinqi Zhou (Department of Chemistry) X Xianyang Gan S Stefania Ferraro L Lan Wang B Bo Zhou L Liyuan Li K Keith M. Kendrick (The Clinical Hospital of Chengdu Brain Science Institute, Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China) W Weihua Zhao (The Clinical Hospital of Chengdu Brain Science Institute, Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China) D Dezhong Yao (The Clinical Hospital of Chengdu Brain Science Institute, Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China) T Tifei Yuan F Feng Zhou B Benjamin Becker (The Department of Psychology, The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong)

Abstract

Abstract Adaptive emotion regulation is essential for mental health. Reappraisal and acceptance are effective yet cognitively distinct emotion regulation strategies. A key unanswered question is whether their neural implementations are supported by common overarching or distinct neurofunctional processes, especially under dynamic, naturalistic conditions that mirror real-life scenarios. Here, we combined naturalistic fMRI with multivariate predictive modeling to develop neurofunctional signatures that accurately and comprehensively characterize negative affect and its regulation via acceptance and reappraisal in dynamic, immersive contexts ( n  = 59). These signatures demonstrated process-specificity and generalizability across cohorts, cultures, and modalities ( n  = 33, 358, 45, and 33, respectively). Emotion regulation strategies were encoded in distributed, distinguishable neural representations, with shared contributions from the default mode network and strategy-specific contributions from the amygdala, somatomotor and attention (acceptance), and the frontoparietal control (reappraisal) networks. The neuromarkers precisely identified strategy-specific ER impairments in male cannabis users (n healthy_controls  = 48, n cannabis_users  = 49), underscoring their potential clinical translational relevance. Collectively, these findings demonstrate shared and distinct neural signatures of reappraisal and acceptance, highlight the critical role of whole-brain integration in emotion regulation, and provide comprehensive, clinically relevant brain models of emotion regulation and dysregulation in naturalistic contexts.

Article Details

Volume / Issue Vol. 17, Issue 1
Published March 17, 2026
ISSN 2041-1723
Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio

ISSN: 2041-1723 Open Access Life Sciences

Authors (15)

H

Heng Jiang

J

Jingxian He

K

Kaeli Zimmermann

X

Xinqi Zhou

Department of Chemistry

X

Xianyang Gan

S

Stefania Ferraro

L

Lan Wang

B

Bo Zhou

L

Liyuan Li

K

Keith M. Kendrick

The Clinical Hospital of Chengdu Brain Science Institute, Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China

W

Weihua Zhao

The Clinical Hospital of Chengdu Brain Science Institute, Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China

D

Dezhong Yao

The Clinical Hospital of Chengdu Brain Science Institute, Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China

T

Tifei Yuan

F

Feng Zhou

B

Benjamin Becker

The Department of Psychology, The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong