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Record W2600649083 · doi:10.1093/schbul/sbx021.211

153. Facial Emotion Recognition in Individuals With Schizophrenia With or Without Social Anxiety

2017· article· en· W2600649083 on OpenAlexaffabout
Laurence Théroux

Bibliographic record

VenueSchizophrenia Bulletin · 2017
Typearticle
Languageen
FieldPsychology
TopicAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPsychologySocial anxietySchizophrenia (object-oriented programming)AnxietySocial inhibitionSocial skillsClinical psychologyEmotion perceptionSocial cognitionAngerFacial expressionPsychiatryDevelopmental psychologyCognition

Abstract

fetched live from OpenAlex

Background: Social anxiety is highly prevalent in individuals with schizophrenia with studies suggesting rates from 15% to 30%. This study aimed at determining if social anxiety was linked to specific emotion perception deficits and to specific social functioning deficits. We hypothesized that individuals with schizophrenia and more social anxiety would have worse social functioning and would be better at recognizing facial emotions of fear or anger than individuals without social anxiety, because they are more likely to have an attentional bias towards those emotions. Methods: 47 participants with a diagnosis of schizophrenia, average age of 38 (SD 9.7) were recruited in the Psychotic program (outpatient service) of a large psychiatric hospital in Montreal (IUSMM). The assessments included measures of facial recognition (Eckman; FEIT), facial discrimination (FEDT), ToM (Cartoon Stories), social anxiety (SIAS, BSPS), psychiatric symptoms (BPRS), and social functioning (SFS and role-plays). Results: 22 (47%) of participants rated as significantly socially anxious according to the SIAS. Between group comparisons revealed that those with social anxiety did indeed have worse social functioning, particularly in the domains of interpersonal communication (t(45) = 2.28, P = .025) and engagement (in conversations; t(45) = 2.89, P = .000). Participants with high social anxiety also had more difficulties in recognizing neutral emotional faces, compared to individuals with schizophrenia without social anxiety (t(31) = 2.19, P = .036). Although not specific to social anxiety, results on the facial emotional tasks were correlated with specific social functioning domains (e.g., those with poor facial recognition overall had fewer recreational (r = −.49) and social activities, r = −.56). The results were not linked to negative symptoms of schizophrenia or to psychiatric symptoms (BPRS). In the role-play, individuals with social anxiety were better than those without social anxiety at recognizing 2/4 of the emotions targeted (joy and anger, χ2 = 3.58, P = .05). Conclusion: These findings suggest that specific comorbidities, such as social anxiety, might affect facial emotional recognition, particularly for neutral emotions. More studies are warranted in order to determine whether social anxiety brings an attentional bias, therefore making individuals more prone to seeing emotions (even when not present). This study did confirm that social anxiety and facial emotional recognition have an important impact on social functioning and should be targeted in treatments.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.040
GPT teacher head0.318
Teacher spread0.279 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2017
Admission routes2
Has abstractyes

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