Evidence map›Paper›PMID 41844656›Full record

ArticleNature communications2026

Common and distinct neurofunctional signatures of dynamic naturalistic emotion regulation strategies.

Heng Jiang, Jingxian He, Kaeli Zimmermann, Xinqi Zhou, Xianyang Gan, Stefania Ferraro, Lan Wang, Bo Zhou, Liyuan Li, Keith M Kendrick and 5 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Heng JiangSichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.ORCID http://orcid.org/0000-0002-1781-4225
Jingxian HeSichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Kaeli ZimmermannIndependent Researcher, Cologne, Germany.
Xinqi ZhouInstitute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, China.ORCID http://orcid.org/0000-0002-5032-9141
Xianyang GanSichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Stefania FerraroSichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Lan WangSichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Bo ZhouSichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Liyuan LiSichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Keith M KendrickSichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.ORCID http://orcid.org/0000-0002-0371-5904
Weihua ZhaoSichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.ORCID http://orcid.org/0000-0003-1780-4606
Dezhong YaoSichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.ORCID http://orcid.org/0000-0002-8042-879X
Tifei YuanShanghai Key Laboratory of Psychotic Disorders, Brain Health Institute, National Center for Mental Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine and School of Psychology, Shanghai, China.ORCID http://orcid.org/0000-0003-0510-715X
Feng ZhouFaculty of Psychology, Southwest University, Chongqing, China. zhou.feng@live.com.ORCID http://orcid.org/0000-0002-4509-4026
Benjamin BeckerMIND & AI Lab, Department of Psychology, The University of Hong Kong, Hong Kong, China. bbecker@hku.hk.ORCID http://orcid.org/0000-0002-9014-9671

Funding

China Scholarship Council (CSC) 202506070094Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology) 2022ZD0208500National Natural Science Foundation of China (National Science Foundation of China) 32300862National Natural Science Foundation of China (National Science Foundation of China) 82271583Natural Science Foundation of Chongqing (Natural Science Foundation of Chongqing Municipality) CSTB2023NSCQ-MSX0889Sichuan Provincial Department of Science and Technology | Sichuan Province Science and Technology Support Program 2023YFS0023Sichuan Provincial Department of Science and Technology | Sichuan Province Science and Technology Support Program 24NSFSC6564
6 · The paper itself

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

Indexed as

BrainEmotional RegulationAdultAmygdalaBrain MappingEmotionsFemaleHumansMagnetic Resonance ImagingMaleYoung Adult

Identifiers

PMID41844656
PMCPMC13168294

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.