Evidence map›Paper›PMID 39308147›Full record

ArticleSocial cognitive and affective neuroscience2024

Structural neuroanatomy of human facial behaviors.

Fate Noohi, Eena L Kosik, Christina Veziris, David C Perry, Howard J Rosen, Joel H Kramer, Bruce L Miller, Sarah R Holley, William W Seeley, Virginia E Sturm

Abstract read
In one paragraph

Article in Social cognitive and affective neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Neurology of social graces in patients with language deficits.Journal of neurology, neurosurgery, and psychiatry · 2026
    Article
  3. Review
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

10 authors.

Fate NoohiDepartment of Neurology, University of California, San Francisco, CA 94158, United States.ORCID 0000-0002-4478-7293
Eena L KosikDepartment of Neurology, University of California, San Francisco, CA 94158, United States.
Christina VezirisDepartment of Neurology, University of California, San Francisco, CA 94158, United States.
David C PerryDepartment of Neurology, University of California, San Francisco, CA 94158, United States.
Howard J RosenDepartment of Neurology, University of California, San Francisco, CA 94158, United States.
Joel H KramerDepartment of Neurology, University of California, San Francisco, CA 94158, United States.
Bruce L MillerDepartment of Neurology, University of California, San Francisco, CA 94158, United States.
Sarah R HolleyDepartment of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA 94158, United States.
William W SeeleyDepartment of Neurology, University of California, San Francisco, CA 94158, United States.
Virginia E SturmDepartment of Neurology, University of California, San Francisco, CA 94158, 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
Diagnostic and prognostic certainty in behavioral variant frontotemporal dementiaR01AG062758 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PERRY, DAVID C · 2020 to 2025
$4.0M
Emotion alterations across the Alzheimer's disease spectrumR01AG073244 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STURM, VIRGINIA EMILY · 2021 to 2025
$4.0M
Reward processing in genetic frontotemporal dementia and mood disordersR01AG059794 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PERRY, DAVID C · 2019 to 2023
$4.0M
Neurobiological Basis of Emotion Regulation Trajectories in Early Alzheimer's DiseaseR01AG057204 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STURM, VIRGINIA EMILY · 2017 to 2021
$3.9M
Larry L. Hillblom Foundation 2013-A-029-SUP 2018-A-006-NETNational Institute of Aging R01AG052496 R01AG057204NIA NIH HHS R01 AG052496NIA NIH HHS R01 AG057204NIA NIH HHS R01 AG059794NIA NIH HHS R01 AG062758NIA NIH HHS R01 AG073244
6 · The paper itself

Abstract

The human face plays a central role in emotions and social communication. The emotional and somatic motor networks generate facial behaviors, but whether facial behaviors have representations in the structural anatomy of the human brain is unknown. We coded 16 facial behaviors in 55 healthy older adults who viewed five videos that elicited emotions and examined whether individual differences in facial behavior were related to regional variation in gray matter volume. Voxel-based morphometry analyses revealed that greater emotional facial behavior during the disgust trial (i.e. greater brow furrowing and eye tightening as well as nose wrinkling and upper lip raising) and the amusement trial (i.e. greater smiling and eye tightening) was associated with larger gray matter volume in midcingulate cortex, supplementary motor area, and precentral gyrus, areas spanning both the emotional and somatic motor networks. When measured across trials, however, these facial behaviors (and others) only related to gray matter volume in the precentral gyrus, a somatic motor network hub. These findings suggest that the emotional and somatic motor networks store structural representations of facial behavior and that the midcingulate cortex is critical for generating the predictable movements in the face that arise during emotions.

Indexed as

EmotionsFacial ExpressionGray MatterMagnetic Resonance ImagingAgedAged, 80 and overBrainBrain MappingFaceFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedPhotic Stimulationcingulate cortexemotionfacial behaviorprimary motor cortexsupplementary motor area

Identifiers

PMID39308147
PMCPMC11492553

What OpenQuestion holds

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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 OpenQuestion graph.