Jessica Fattal, Matias Martinez, Tina Gupta, Jacquelyn E Stephens, Claudia M Haase, Vijay A Mittal
{"title":"Disrupted coherence between autonomic activation and emotional expression in individuals at clinical high risk for psychosis.","authors":"Jessica Fattal, Matias Martinez, Tina Gupta, Jacquelyn E Stephens, Claudia M Haase, Vijay A Mittal","doi":"10.1037/abn0000929","DOIUrl":null,"url":null,"abstract":"<p><p>Landmark studies have shown decreased coherence between different emotion response systems (e.g., physiology and facial expressions) in people with psychosis. However, while there is good evidence to suggest broad signs of affective dysfunction (e.g., blunting of facial expression) in the critical clinical high-risk (CHR) state, it is not clear whether these signs fit into a broader pattern of decoupling. This is in part due to there being no studies to date with this population that include a dyadic interaction. The current laboratory-based dyadic interaction study examined whether there is decreased coherence in CHR between autonomic physiology, as indexed by heart rate, and facial expressions of emotion, assessed by automated facial expressions analysis. The study included 145 individuals consisting of 34 CHR-partner and 41 control-partner pairs who completed clinical interviews and engaged in three naturalistic 10-min conversations while their physiology and expressions were continuously monitored. Compared to controls, CHR youth showed decreased coherence between heart rate and positive (<i>t</i> = 4.09) and negative (<i>t</i> = -7.90) facial expressions. Across CHR and control youth, greater severity of psychosis risk symptoms was related to lower coherence between heart rate and positive (<i>t</i> = 3.97-11.69) and neutral expressions (<i>t</i> = 0.06-4.98), and a change in the direction of the relationship between heart rate and negative expression intensity (<i>t</i> = 7.88-10.60). These findings provide the first evidence for changes in coherence between physiology and facial expressions of emotion in CHR individuals, with larger changes in coherence relating to greater general psychotic-like symptom severity. This evidence may be leveraged to identify targets for early diagnosis and intervention. (PsycInfo Database Record (c) 2024 APA, all rights reserved).</p>","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":" ","pages":"469-476"},"PeriodicalIF":3.1000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of psychopathology and clinical science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1037/abn0000929","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/6/20 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"PSYCHIATRY","Score":null,"Total":0}
引用次数: 0
Abstract
Landmark studies have shown decreased coherence between different emotion response systems (e.g., physiology and facial expressions) in people with psychosis. However, while there is good evidence to suggest broad signs of affective dysfunction (e.g., blunting of facial expression) in the critical clinical high-risk (CHR) state, it is not clear whether these signs fit into a broader pattern of decoupling. This is in part due to there being no studies to date with this population that include a dyadic interaction. The current laboratory-based dyadic interaction study examined whether there is decreased coherence in CHR between autonomic physiology, as indexed by heart rate, and facial expressions of emotion, assessed by automated facial expressions analysis. The study included 145 individuals consisting of 34 CHR-partner and 41 control-partner pairs who completed clinical interviews and engaged in three naturalistic 10-min conversations while their physiology and expressions were continuously monitored. Compared to controls, CHR youth showed decreased coherence between heart rate and positive (t = 4.09) and negative (t = -7.90) facial expressions. Across CHR and control youth, greater severity of psychosis risk symptoms was related to lower coherence between heart rate and positive (t = 3.97-11.69) and neutral expressions (t = 0.06-4.98), and a change in the direction of the relationship between heart rate and negative expression intensity (t = 7.88-10.60). These findings provide the first evidence for changes in coherence between physiology and facial expressions of emotion in CHR individuals, with larger changes in coherence relating to greater general psychotic-like symptom severity. This evidence may be leveraged to identify targets for early diagnosis and intervention. (PsycInfo Database Record (c) 2024 APA, all rights reserved).