Real-time facial emotion recognition deficits across the psychosis spectrum: A B-SNIP Study

Leah H. Rubin, Jiaxu Han, Jennifer M. Coughlin, S. Kristian Hill, Jeffrey R. Bishop, Carol A. Tamminga, Brett A. Clementz, Godfrey D. Pearlson, Matcheri S. Keshavan, Elliot S. Gershon, Keri J. Heilman, Stephen W. Porges, John A. Sweeney, Sarah Keedy

Research output: Contribution to journalArticlepeer-review

Abstract

Affective and non-affective psychotic disorders are associated with variable levels of impairment in affective processing, but this domain typically has been examined via presentation of static facial images. We compared performance on a dynamic facial expression identification task across six emotions (sad, fear, surprise, disgust, anger, happy) in individuals with psychotic disorders (bipolar with psychotic features [PBD] = 113, schizoaffective [SAD] = 163, schizophrenia [SZ] = 181) and healthy controls (HC; n = 236) derived from the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP). These same individuals with psychotic disorders were also grouped by B-SNIP-derived Biotype (Biotype 1 [B1] = 115, Biotype 2 [B2] = 132, Biotype 3 [B3] = 158), derived from a cluster analysis applied to a large biomarker panel that did not include the current data. Irrespective of the depicted emotion, groups differed in accuracy of emotion identification (P < 0.0001). The SZ group demonstrated lower accuracy versus HC and PBD groups; the SAD group was less accurate than the HC group (Ps < 0.02). Similar overall group differences were evident in speed of identifying emotional expressions. Controlling for general cognitive ability did not eliminate most group differences on accuracy but eliminated almost all group differences on reaction time for emotion identification. Results from the Biotype groups indicated that B1 and B2 had more severe deficits in emotion recognition than HC and B3, meanwhile B3 did not show significant deficits. In sum, this characterization of facial emotion recognition deficits adds to our emerging understanding of social/emotional deficits across the psychosis spectrum.

Original languageEnglish (US)
Pages (from-to)489-499
Number of pages11
JournalSchizophrenia Research
Volume243
DOIs
StatePublished - May 2022

Bibliographical note

Funding Information:
This work was supported by the National Institute of Mental Health [grant numbers MH096913 , MH096957 , MH096942 , MH096900 ; MH077851 , MH078113 , MH077945 , MH077852 and MH077862 ]. The NIMH had no role in study design; in the collection, analysis and interpretation of data; in the writing of the report; or the decision to submit the manuscript for publication. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.

Funding Information:
This work was supported by the National Institute of Mental Health [grant numbers MH096913, MH096957, MH096942, MH096900; MH077851, MH078113, MH077945, MH077852 and MH077862]. The NIMH had no role in study design; in the collection, analysis and interpretation of data; in the writing of the report; or the decision to submit the manuscript for publication. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.

Funding Information:
All authors have declared no conflicts of interest in relation to the subject of this study. Carol A. Tamminga reports the following financial disclosures: American Psychiatric Association – Deputy Editor; Astellas – Ad Hoc Consultant; Autifony – Ad Hoc Consultant; The Brain and Behavior Foundation – Council Member; Eli Lilly Pharmaceuticals – Ad Hoc Consultant; Intra-cellular Therapies (ITI, Inc.) – Advisory Board, drug development; Institute of Medicine – Council Member; National Academy of Medicine – Council Member; Pfizer – Ad Hoc Consultant; Sunovion – Investigator Initiated grant funding. John Sweeney reports the following financial disclosures: Consultant to VeraSci.

Publisher Copyright:
© 2021 Elsevier B.V.

Keywords

  • Bipolar disorder with psychotic features
  • Emotion
  • Schizoaffective disorder
  • Schizophrenia

PubMed: MeSH publication types

  • Journal Article
  • Research Support, N.I.H., Extramural

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