Evidence map›Paper›PMID 35074531›Full record

ArticleSchizophrenia research2022

Computerized analysis of facial expressions in serious mental illness.

Tovah Cowan, Michael D Masucci, Tina Gupta, Claudia M Haase, Gregory P Strauss, Alex S Cohen

Open access · greenAbstract read
In one paragraph

Article in Schizophrenia research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.8field-weighted citation impact, top 7% 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.

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

11 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Humanizing "multimodal" digital phenotyping of serious mental illness.Journal of psychopathology and clinical science · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Computerized analysis of facial expression reveals objective indices of blunted facial affect.European archives of psychiatry and clinical neuroscience · 2024
    Article
  7. Automating the analysis of facial emotion expression dynamics: A computational framework and application in psychotic disorders.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Review
  9. Article
  10. Review
  11. Article
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

6 authors at 3 institutions in 1 country.

Tovah CowanLouisiana State University, Department of Psychology, Center for Computation and Technology, Baton Rouge, LA, USA.
Michael D MasucciLouisiana State University, Department of Psychology, Center for Computation and Technology, Baton Rouge, LA, USA.
Tina GuptaNorthwestern University, Department of Psychology, Evanston, IL, USA.
Claudia M HaaseNorthwestern University, School of Education and Social Policy, Evanston, IL, USA.
Gregory P StraussUniversity of Georgia, Department of Psychology, Athens, GA, USA.
Alex S CohenLouisiana State University, Department of Psychology, Center for Computation and Technology, Baton Rouge, LA, USA. Electronic address: acohen@lsu.edu.
Louisiana State University · USNorthwestern University · USUniversity of Georgia · US

Funding

Identifying the Vocal Markers of Schizophrenia-Spectrum DisordersR03MH092622 · NIMH · LOUISIANA STATE UNIV A&M COL BATON ROUGE · PI COHEN, ALEX S · 2011 to 2012
$148k
NIMH NIH HHS R03 MH092622
6 · The paper itself

Abstract

Blunted facial affect is a transdiagnostic component of Serious Mental Illness (SMI) and is associated with a host of negative outcomes. However, blunted facial affect is a poorly understood phenomenon, with no known cures or treatments. A critical step in better understanding its phenotypic expression involves clarifying which facial expressions are altered in specific ways and under what contexts. The current literature suggests that individuals with SMI show decreased positive facial expressions, but typical, or even increased negative facial expressions during laboratory tasks. While this literature has coalesced around general trends, significantly more nuance is available regarding what components facial expressions are atypical and how those components are associated with increased severity of clinical ratings. The present project leveraged computerized facial analysis to test whether clinician-rated blunted affect is driven by decreases in duration, intensity, or frequency of positive versus other facial expressions during a structured clinical interview. Stable outpatients meeting criteria for SMI (N = 59) were examined. Facial expression did not generally vary as a function of clinical diagnosis. Overall, clinically-rated blunted affect was not associated with positive expressions, but was associated with decreased surprise and increased anger, sadness, and fear expressions. Blunted affect is not a monolithic lack of expressivity, and increased precision in operationally defining it is critical for uncovering its causes and maintaining factors. Our discussion focuses on this effort, and on advancing digital phenotyping of blunted facial affect more generally.

Indexed as

Facial ExpressionMental DisordersAngerEmotionsHumansBlunted affectClinical ratingsDiscrete emotionsNegative symptomsSchizophrenia

Identifiers

PMID35074531
PMCPMC8978090
OpenAlexW4206570868

What OpenQuestion holds

Textmetadata
LicenceTDM
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.