TY - JOUR
T1 - Real-time facial emotion recognition deficits across the psychosis spectrum
T2 - A B-SNIP Study
AU - Rubin, Leah H.
AU - Han, Jiaxu
AU - Coughlin, Jennifer M.
AU - Hill, S. Kristian
AU - Bishop, Jeffrey R.
AU - Tamminga, Carol A.
AU - Clementz, Brett A.
AU - Pearlson, Godfrey D.
AU - Keshavan, Matcheri S.
AU - Gershon, Elliot S.
AU - Heilman, Keri J.
AU - Porges, Stephen W.
AU - Sweeney, John A
AU - Keedy, Sarah
N1 - 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.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Bipolar disorder with psychotic features
KW - Emotion
KW - Schizoaffective disorder
KW - Schizophrenia
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U2 - 10.1016/j.schres.2021.11.027
DO - 10.1016/j.schres.2021.11.027
M3 - Article
C2 - 34887147
AN - SCOPUS:85120684455
JO - Schizophrenia Research
JF - Schizophrenia Research
SN - 0920-9964
ER -