Evidence map›Paper›PMID 41830154›Full record

ReviewSocial cognitive and affective neuroscience2026

Dynamic emotion fabric theory: a new framework for understanding the biology of flexible emotion states.

Virginia E Sturm, William W Seeley

Abstract readReview
In one paragraph

Review in Social cognitive and affective neuroscience, 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

2 authors.

Virginia E SturmEdward and Pearl Fein Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA 94143, United States.ORCID 0000-0002-1717-298X
William W SeeleyEdward and Pearl Fein Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA 94143, United States.

Funding

Emotion network dysfunction and decline in early frontotemporal dementiaR01AG052496 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Virginia Emily Sturm · 2017 to 2026
$6.9M
Emotion alterations across the Alzheimer's disease spectrumR01AG073244 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STURM, VIRGINIA EMILY · 2021 to 2025
$4.0M
Spatiotemporal dynamics of the human emotion networkR01MH122431 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHANG, EDWARD, STURM, VIRGINIA EMILY · 2021 to 2025
$3.4M
NIA NIH HHS R01 AG052496NIA NIH HHS R01AG052496NIA NIH HHS R01 AG073244NIA NIH HHS R01AG073244NIMH NIH HHS R01 MH122431NIMH NIH HHS R01MH122431
6 · The paper itself

Abstract

A central unresolved issue in affective neuroscience is whether human emotions have unique biological signatures in the brain and body. Despite decades of debate, a consensus is lacking on whether emotions are patterned (similar across contexts and characterized by distinct features) or flexible (variable across contexts and lacking distinct features). Studies in other species have revealed the ubiquity of autonomic and motor patterns, and these investigations have elucidated the biology of central pattern generation at the levels of networks, neurons, and synapses. Here, we integrate the knowledge gained from this research and introduce the Dynamic Emotion Fabric Theory (DEFT), a new model of emotions biology. DEFT proposes that, just as fabrics are comprised of both patterns and textures, emotions are accompanied by stereotyped responses that are distinct and recognizable, yet also nuanced and malleable. A neurobiological system that is both automatic-generating patterned reactions essential for survival-and flexible-texturizing each response in context-is equipped to produce the spectrum of human emotions. DEFT provides new insights into the biological basis of emotions and identifies novel areas that warrant further study in humans and other species. This framework has implications for basic affective neuroscience and clinical studies of affective symptoms.

Indexed as

BrainEmotionsPsychological TheoryAnimalsHumansaffectbehaviorcentral pattern generatorexperiencesalience network

Identifiers

PMID41830154
PMCPMC13049197

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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 OpenQuestion graph.