Evidence map›Paper›PMID 30921747›Full record

ArticlePsychiatry research2019

Decoupling of spontaneous facial mimicry from emotion recognition in schizophrenia.

Lénie J Torregrossa, Dayi Bian, Joshua Wade, Laura H Adery, Megan Ichinose, Heathman Nichols, Esube Bekele, Nilanjan Sarkar, Sohee Park

2 registry-linked trialsOpen access · greenAbstract read
In one paragraph

Article in Psychiatry research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
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.

NCT03128099 nacompletednot on this map

Physiology-based Virtual Reality Training for Social Skills in Schizophrenia

TypeinterventionalSponsorVanderbilt UniversityRan2016 to 2018Enrolled47ConditionsSchizophreniaArmsVirtual reality social skills training
NCT04005794 nacompletednot on this mapstarted 2021, after this paper: background citation

Physiology-based Virtual Reality Training for Social Skills in Schizophrenia

TypeinterventionalSponsorVanderbilt UniversityRan2021 to 2024Enrolled50ConditionsSchizophrenia, Schizo Affective Disorder, Social SkillsArmssocial VR (virtual reality) training, Cognitive training (control game)
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 20 citations in OpenAlex.

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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

9 authors at 1 institution in 2 countries.

Lénie J TorregrossaDepartment of Psychology, Vanderbilt University, 111 21st Ave. S, Wilson Hall, Room 311, Nashville, TN 37240, USA. Electronic address: lenie.j.torregrossa@vanderbilt.edu.
Dayi BianDepartment of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA.
Joshua WadeDepartment of Mechanical Engineering, Vanderbilt University, Nashville, TN, USA.
Laura H AderyDepartment of Psychology, Vanderbilt University, 111 21st Ave. S, Wilson Hall, Room 311, Nashville, TN 37240, USA.
Megan IchinoseDepartment of Psychology, Vanderbilt University, 111 21st Ave. S, Wilson Hall, Room 311, Nashville, TN 37240, USA.
Heathman NicholsDepartment of Psychology, Vanderbilt University, 111 21st Ave. S, Wilson Hall, Room 311, Nashville, TN 37240, USA.
Esube BekeleDepartment of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA.
Nilanjan SarkarDepartment of Mechanical Engineering, Vanderbilt University, Nashville, TN, USA.
Sohee ParkDepartment of Psychology, Vanderbilt University, 111 21st Ave. S, Wilson Hall, Room 311, Nashville, TN 37240, USA; Global Academy for Future Civilizations, Kyung Hee University, Seoul, Korea.
Vanderbilt University · US

Funding

Physiology-based virtual reality training for social skills in schizophreniaR33MH106748 · NIMH · VANDERBILT UNIVERSITY · PI PARK, SOHEE, SARKAR, NILANJAN · 2019 to 2021
$1.6M
Physiology-based virtual reality training for social skills in schizophreniaR21MH106748 · NIMH · VANDERBILT UNIVERSITY · PI PARK, SOHEE, SARKAR, NILANJAN · 2016 to 2017
$827k
NIMH NIH HHS R21 MH106748NIMH NIH HHS R33 MH106748
6 · The paper itself

Abstract

Past research indicates that spontaneous mimicry facilitates the decoding of others' emotions, leading to enhanced social perception and interpersonal rapport. Individuals with schizophrenia (SZ) show consistent deficits in emotion recognition and expression associated with poor social functioning. Given the prominence of blunted affect in schizophrenia, it is possible that spontaneous facial mimicry may also be impaired. However, studies assessing automatic facial mimicry in schizophrenia have yielded mixed results. It is therefore unknown whether emotion recognition deficits and impaired automatic facial mimicry are related in schizophrenia. SZ and demographically matched controls (CO) participated in a dynamic emotion recognition task. Electromyographic activity in muscles responsible for producing facial expressions was recorded during the task to assess spontaneous facial mimicry. SZ showed deficits in emotion identification compared to CO, but there was no group difference in the predictive power of spontaneous facial mimicry for avatar's expressed emotion. In CO, facial mimicry supported accurate emotion recognition, but it was decoupled in SZ. The finding of intact facial mimicry in SZ bears important clinical implications. For instance, clinicians might be able to improve the social functioning of patients by teaching them to pair specific patterns of facial muscle activation with distinct emotion words.

Indexed as

Facial RecognitionInterpersonal RelationsSchizophrenic PsychologySocial PerceptionAdultCase-Control StudiesEmotionsFemaleHumansMaleMiddle AgedMood DisordersSchizophreniaYoung AdultEmotion recognitionFacial mimicryFEMGSchizophreniaShared experiences

Identifiers

PMID30921747
PMCPMC8080256
OpenAlexW2923186558

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.