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Xu YM, Deng F, Zhong BL. Facial emotion identification impairments in Chinese persons living with schizophrenia: A meta-analysis. Front Psychiatry 2022; 13:1097350. [PMID: 36606133 PMCID: PMC9807786 DOI: 10.3389/fpsyt.2022.1097350] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Accepted: 11/28/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Facial emotion identification (FEI) deficits are associated with impaired social functioning in persons living with schizophrenia (PLwS), but the research on emotion-specific FEI deficits remains inconclusive. Furthermore, existing studies on FEI deficits are limited by their small sample sizes. We performed a meta-analysis of studies comparing the FEI abilities between Chinese PLwS and healthy controls in terms of the six basic facial emotions (happiness, sadness, fear, disgust, anger, and surprise), as well as contempt, calmness, and neutral facial expressions. METHODS Major Chinese- and English-language databases were searched to retrieve case-control studies that compared the FEI task performance between Chinese PLwS and healthy controls (HCs) and reported the emotion-specific correct identification scores for PLwS and HCs. The Joanna Briggs Institute Critical Appraisal Checklist for Case-control Studies ("JBI checklist," hereafter) was used to assess the risk of bias (RoB) of the included studies. Statistical analysis was performed using the "meta" package of R 4.1.2. RESULTS Twenty-three studies with a total of 28 case-control cohorts and 1,894 PLwS and 1,267 HCs were included. The RoB scores of the included studies ranged from two to seven. PLwS had statistically significantly lower FEI scores than HCs and the corresponding emotion-specific pooled standard mean differences (95% confidence intervals) were -0.69 (-0.88, -0.50) for happiness, -0.88 (-1.12, -0.63) for sadness, -1.44 (-1.83, -1.06) for fear, -1.18 (-1.60, -0.76) for disgust, -0.91 (-1.24, -0.57) for anger, -1.09 (-1.39, -0.78) for surprise, -0.26 (-0.51, -0.01) for contempt, -0.31 (-0.52, -0.09) for calmness, and -0.42 (-0.65, -0.18) for neutral. In the analyses of sources of heterogeneity, drug-naïve status, clinical setting, positive and negative psychotic symptoms, and RoB were significant moderators of the magnitudes of FEI deficits. CONCLUSIONS Chinese PLwS have significant FEI impairments in terms of recognizing the six basic facial emotions, contempt, calmness, and neutral emotions, and the magnitude of impairment varies depending on the type of emotion, clinical characteristics, and the level of RoB of the study. It is necessary to consider the characteristics of FEI deficits and the clinical moderators in the FEI deficits to develop remediation strategies targeting FEI deficits in schizophrenia.
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Affiliation(s)
- Yan-Min Xu
- Department of Psychiatry, Wuhan Mental Health Center, Wuhan, China.,Department of Clinical Psychology, Wuhan Hospital for Psychotherapy, Wuhan, China
| | - Fang Deng
- Department of Psychiatry, Wuhan Mental Health Center, Wuhan, China.,Department of Clinical Psychology, Wuhan Hospital for Psychotherapy, Wuhan, China
| | - Bao-Liang Zhong
- Department of Psychiatry, Wuhan Mental Health Center, Wuhan, China.,Department of Clinical Psychology, Wuhan Hospital for Psychotherapy, Wuhan, China
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Narita Z, Yang K, Kuga H, Piancharoen P, Etyemez S, Faria A, Mihaljevic M, Longo L, Namkung H, Coughlin JM, Nestadt G, Nucifora FC, Sedlak TW, Schaub R, Crawford J, Schretlen DJ, Miyata J, Ishizuka K, Sawa A. Face processing of social cognition in patients with first episode psychosis: Its deficits and association with the right subcallosal anterior cingulate cortex. Schizophr Res 2021; 238:99-107. [PMID: 34649085 DOI: 10.1016/j.schres.2021.09.027] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 09/13/2021] [Accepted: 09/30/2021] [Indexed: 12/28/2022]
Abstract
The clinical importance of social cognition is well acknowledged in patients with psychosis, in particular those with first episode psychosis (FEP). Nevertheless, its brain substrates and circuitries remain elusive, lacking precise analysis between multimodal brain characteristics and behavioral sub-dimensions within social cognition. In the present study, we examined face processing of social cognition in 71 FEP patients and 77 healthy controls (HCs). We looked for a possible correlation between face processing and multimodal MRI characteristics such as resting-state functional connectivity (rsFC) and brain volume. We observed worse recognition accuracy, longer recognition response time, and longer memory response time in FEP patients when compared with HCs. Of these, memory response time was selectively correlated with specific rsFCs, which included the right subcallosal sub-region of BA24 in the ACC (scACC), only in FEP patients. The volume of this region was also correlated with memory response time in FEP patients. The scACC is functionally and structurally important in FEP-associated abnormalities of face processing measures in social cognition.
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Affiliation(s)
- Zui Narita
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
| | - Kun Yang
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Hironori Kuga
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
| | - Peeraya Piancharoen
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
| | - Semra Etyemez
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
| | - Andreia Faria
- Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Marina Mihaljevic
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Luisa Longo
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Ho Namkung
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States of America
| | - Jennifer M Coughlin
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America; Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Gerald Nestadt
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Frederik C Nucifora
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Thomas W Sedlak
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Rebecca Schaub
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Jeff Crawford
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - David J Schretlen
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Jun Miyata
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Koko Ishizuka
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Akira Sawa
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States of America; Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America; Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
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Godfrey DA, Babcock JC. Facial affect recognition moderates the relation between autonomic nervous system reactivity and aggression during dyadic conflict. Psychophysiology 2020; 57:e13588. [PMID: 32323355 DOI: 10.1111/psyp.13588] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Revised: 02/23/2020] [Accepted: 03/31/2020] [Indexed: 11/27/2022]
Abstract
Researchers examining physiological factors of emotion have identified differential patterns of physiological reactivity among intimate partner violence perpetrators during interpersonal conflict. Although it is unclear what mechanisms are influencing these distinct physiological patterns, research suggests that perpetrators' ability to decode emotions may be involved. The current study examined how the relation between an individual's physiological reactivity and their aggression during conflict with an intimate partner is influenced by the affect they are exposed to and their affect recognition ability. Sixty-seven heterosexual couples completed self-report measures and participated in a conflict discussion while physiological measures were recorded. The sympathetic nervous system (SNS) was indexed by Skin Conductance Level (SCL) and the parasympathetic nervous system (PNS) by Respiratory Sinus Arrhythmia (RSA). Aggressive affect was coded from video. Additionally, men were administered a facial affect recognition task. Results indicated that observed aggression during the conflict discussion was associated with RSA and SCL suppression, but only for men with moderate to high affect recognition ability. Additionally, the interaction effects between physiological reactivity and affect recognition on male aggression was conditional on their partner exhibiting at least moderate levels of aggressive affect. Findings from our study suggest that the relation between autonomic nervous system reactivity during conflict and aggression toward an intimate partner is conditional on men's ability to decode the facial affect of their partner. For individuals who were able to decode aggressive affect from their partner, aggression was associated with decreased parasympathetic and SNS activation.
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Affiliation(s)
- Donald A Godfrey
- Department of Clinical Psychology, University of Houston, Houston, TX, USA
| | - Julia C Babcock
- Department of Clinical Psychology, University of Houston, Houston, TX, USA
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