The effect of aging on facial emotion recognition in bipolar disorder.


Journal

Psychiatry research
ISSN: 1872-7123
Titre abrégé: Psychiatry Res
Pays: Ireland
ID NLM: 7911385

Informations de publication

Date de publication:
09 2023
Historique:
received: 02 05 2023
revised: 25 07 2023
accepted: 27 07 2023
medline: 6 9 2023
pubmed: 7 8 2023
entrez: 6 8 2023
Statut: ppublish

Résumé

Convergent data point to an exaggerated negativity bias in bipolar disorder (BD), and little is known about whether people with BD experience the 'positivity effect' with increasing age. This is a cross sectional study of 202 participants with BD aged 18-65, and a sample (n = 53) of healthy controls (HCs). Participants completed the CANTAB Emotion Recognition Task (ERT). Using analysis of variance, we tested for a main effect of age, diagnosis, and an interaction of age x diagnosis on both negative and positive conditions. We observed increased accuracy in identifying positive stimuli in the HC sample as a function of increasing age, a pattern that was not seen in participants with BD. Specifically, there was a significant diagnosis by age cohort interaction on ERT performance that was specific to the identification of happiness, where the Later Adulthood cohort of HCs was more accurate when identifying happy faces relative to the same cohort of BD patients. Later life looks different for people with BD. With an aging population globally, gaining a clearer picture of the effects of recurrent mood dysregulation on the brain will be critical in guiding efforts to effectively optimize outcomes in older adults with BD.

Identifiants

pubmed: 37544087
pii: S0165-1781(23)00336-0
doi: 10.1016/j.psychres.2023.115386
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

115386

Subventions

Organisme : NIMH NIH HHS
ID : T32 MH016259
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH100125
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH124381
Pays : United States

Informations de copyright

Copyright © 2023. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors have no conflicts to report.

Auteurs

Caitlin E Millett (CE)

Mood and Psychosis Research Program, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America.

Alexandra A Corrigan (AA)

Mood and Psychosis Research Program, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America.

Alexandra Adamis (A)

Department of Psychology, Vanderbilt University, Nashville, TN, United States of America.

Candice Roquemore Bonner (CR)

Mood and Psychosis Research Program, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America.

Julia G Lebovitz (JG)

Department of Psychology, Vanderbilt University, Nashville, TN, United States of America.

Stephan T Palm (ST)

Mood and Psychosis Research Program, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America.

Marzieh Majd (M)

Mood and Psychosis Research Program, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America.

Faith M Gunning (FM)

Department of Psychiatry, Joan & Sanford I. Weill Medical College of Cornell University, New York City, NY, United States of America.

Katherine E Burdick (KE)

Mood and Psychosis Research Program, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America. Electronic address: kburdick1@bwh.harvard.edu.

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Classifications MeSH