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Lyu X, Chi Y, Wang Z, Shao X, Zhang G, Li C, Dong C, Wang X, Li X, Zhu C, Xu X, Du X. Abnormal ambiguous facial expression recognition in Chinese patients with schizophrenia. BMC Psychiatry 2024; 24:226. [PMID: 38532335 DOI: 10.1186/s12888-024-05685-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Accepted: 03/14/2024] [Indexed: 03/28/2024] Open
Abstract
BACKGROUND Patients with schizophrenia (SCZ) exhibit difficulties deficits in recognizing facial expressions with unambiguous valence. However, only a limited number of studies have examined how these patients fare in interpreting facial expressions with ambiguous valence (for example, surprise). Thus, we aimed to explore the influence of emotional background information on the recognition of ambiguous facial expressions in SCZ. METHODS A 3 (emotion: negative, neutral, and positive) × 2 (group: healthy controls and SCZ) experimental design was adopted in the present study. The experimental materials consisted of 36 images of negative emotions, 36 images of neutral emotions, 36 images of positive emotions, and 36 images of surprised facial expressions. In each trial, a briefly presented surprised face was preceded by an affective image. Participants (36 SCZ and 36 healthy controls (HC)) were required to rate their emotional experience induced by the surprised facial expressions. Participants' emotional experience was measured using the 9-point rating scale. The experimental data have been analyzed by conducting analyses of variances (ANOVAs) and correlation analysis. RESULTS First, the SCZ group reported a more positive emotional experience under the positive cued condition compared to the negative cued condition. Meanwhile, the HC group reported the strongest positive emotional experience in the positive cued condition, a moderate experience in the neutral cued condition, and the weakest in the negative cue condition. Second, the SCZ (vs. HC) group showed longer reaction times (RTs) for recognizing surprised facial expressions. The severity of schizophrenia symptoms in the SCZ group was negatively correlated with their rating scores for emotional experience under neutral and positive cued condition. CONCLUSIONS Recognition of surprised facial expressions was influenced by background information in both SCZ and HC, and the negative symptoms in SCZ. The present study indicates that the role of background information should be fully considered when examining the ability of SCZ to recognize ambiguous facial expressions.
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Affiliation(s)
- Xiaoli Lyu
- Affiliated WuTaiShan Hospital of Medical College of Yangzhou University, 225003, Yangzhou, Jiangsu, China
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, 215137, Suzhou, Jiangsu, China
| | - Yuyan Chi
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, 215137, Suzhou, Jiangsu, China
| | - Zhenyu Wang
- Wujiang District Mental Rehabilitation Hospital, 215200, Suzhou, Jiangsu, China
| | - Xinyan Shao
- School of Educational Science, Yangzhou University, 225002, Yangzhou, Jiangsu, China
| | - Guangya Zhang
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, 215137, Suzhou, Jiangsu, China
| | - Chuanwei Li
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, 215137, Suzhou, Jiangsu, China
| | - Chenglong Dong
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, 215137, Suzhou, Jiangsu, China
| | - Xuqin Wang
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, 215137, Suzhou, Jiangsu, China
| | - Xin Li
- Wujiang District Mental Rehabilitation Hospital, 215200, Suzhou, Jiangsu, China
| | - Chuanlin Zhu
- School of Educational Science, Yangzhou University, 225002, Yangzhou, Jiangsu, China.
| | - Xiaofeng Xu
- Affiliated WuTaiShan Hospital of Medical College of Yangzhou University, 225003, Yangzhou, Jiangsu, China.
| | - Xiangdong Du
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, 215137, Suzhou, Jiangsu, China.
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Ngamaba KH, Lombo LS, Makopa IK, Webber M, Liuta JM, Madinga JN, Mampunza SMM, Heap C. Mental health outcomes, literacy and service provision in low- and middle-income settings: a systematic review of the Democratic Republic of the Congo. NPJ MENTAL HEALTH RESEARCH 2024; 3:9. [PMID: 38609473 PMCID: PMC10956021 DOI: 10.1038/s44184-023-00051-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 12/20/2023] [Indexed: 04/14/2024]
Abstract
In the Democratic Republic of the Congo (DRC), the prevalence of mental health issues could be greater than in other low-income and middle-income countries because of major risk factors related to armed conflicts and poverty. Given that mental health is an essential component of health, it is surprising that no systematic evaluation of mental health in the DRC has yet been undertaken. This study aims to undertake the first systematic review of mental health literacy and service provision in the DRC, to bridge this gap and inform those who need to develop an evidence base. This could support policymakers in tackling the issues related to limited mental health systems and service provision in DRC. Following Cochrane and PRISMA guidelines, a systematic (Web of Science, Medline, Public Health, PsycINFO, and Google Scholar) search was conducted (January 2000 and August 2023). Combinations of key blocks of terms were used in the search such as DRC, war zone, mental health, post-traumatic stress disorder (PTSD), anxiety, depression, sexual violence, war trauma, resilience, mental health systems and service provision. We followed additional sources from reference lists of included studies. Screening was completed in two stages: title and abstract search, and full-text screening for relevance and quality. Overall, 50 studies were included in the review; the majority of studies (n = 31) were conducted in the Eastern region of the DRC, a region devastated by war and sexual violence. Different instruments were used to measure participants' mental health such as the Hopkins Symptoms Checklist (HSCL-25), The Harvard Trauma Questionnaire, Patient Health Questionnaire (PHQ-9); General Anxiety Disorder (GAD-7), and Positive and Negative Symptoms Scale (PANSS). Our study found that wartime sexual violence and extreme poverty are highly traumatic, and cause multiple, long-term mental health difficulties. We found that depression, anxiety, and PTSD were the most common problems in the DRC. Psychosocial interventions such as group therapy, family support, and socio-economic support were effective in reducing anxiety, depression, and PTSD symptoms. This systematic review calls attention to the need to support sexual violence survivors and many other Congolese people affected by traumatic events. This review also highlights the need for validating culturally appropriate measures, and the need for well-designed controlled intervention studies in low-income settings such as the DRC. Better public mental health systems and service provision could help to improve community cohesion, human resilience, and mental wellbeing. There is also an urgent need to address wider social issues such as poverty, stigma, and gender inequality in the DRC.
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Affiliation(s)
- Kayonda Hubert Ngamaba
- International Centre for Mental Health Social Research, Social Policy and Social Work, School for Business and Society, University of York, Heslington, York, YO10 5DD, UK.
| | - Laddy Sedzo Lombo
- Centre Spécialisé dans la Prise en charge Psychosociale en Santé Mentale (CSPEMRDC), Université Chrétienne de Kinshasa, Kinshasa, Democratic Republic of Congo
| | - Israël Kenda Makopa
- Neuropsychiatre et Addictologue Centre Spécialisé dans la Prise en charge Psychosociale en Santé Mentale (CSPEMRDC), Université Chrétienne de Kinshasa, Kinshasa, Democratic Republic of Congo
| | - Martin Webber
- International Centre for Mental Health Social Research, Social Policy and Social Work, School for Business and Society, University of York, Heslington, York, YO10 5DD, UK
| | - Jack M Liuta
- Department of Health Sciences, University of York, Heslington, York, YO10 5DD, UK
| | - Joule Ntwan Madinga
- WHO Country Office DRC & Medical Parasitology and Epidemiology, Faculty of Medicine, University of Kikwit, Kikwit, Democratic Republic of Congo
| | - Samuel Ma Miezi Mampunza
- Faculte de Medicine University of Kinshasa & Université Protestante au Congo (UPC), Kinshasa, Democratic Republic of Congo
| | - Cheyann Heap
- International Centre for Mental Health Social Research, Social Policy and Social Work, School for Business and Society, University of York, Heslington, York, YO10 5DD, UK
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Specific facial emotion recognition deficits across the course of psychosis: A comparison of individuals with low-risk, high-risk, first-episode psychosis and multi-episode schizophrenia-spectrum disorders. Psychiatry Res 2023; 320:115029. [PMID: 36586376 DOI: 10.1016/j.psychres.2022.115029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 12/17/2022] [Accepted: 12/24/2022] [Indexed: 12/26/2022]
Abstract
Our study aimed to explore the recognition of specific emotions across the course of psychosis. A visual task representing the six basic emotions was used to assess facial emotion recognition (FER) in 204 healthy controls classified into 152 low-risk (LR) and 52 high-risk for psychosis (HR), following a psychometric risk approach; and 100 patients: 44 with first-episode psychosis (FEP) and 56 with multi-episode schizophrenia-spectrum disorders (MES). First, we performed a MANCOVA to compare the four conditions. Next, we conducted a logistic regression to explore whether specific FER deficits predicted the presence of psychosis. Finally, we investigated the relationships of FER with psychosis-like experiences (PLEs) and psychotic symptoms. Global FER, anger and fear recognition were impaired in HR, FEP and MES. No differences between HR and FEP appeared. Moreover, fear and anger correctly classified 83% of individuals into LR or psychosis. FER was associated with PLEs and psychotic symptoms. Concluding, FER is early impaired in HR individuals and increases along the psychosis continuum. However, fear recognition is similarly impaired throughout the illness, suggesting a possible vulnerability marker. Furthermore, deficits in anger and fear recognition predicted the presence of psychosis. Therefore, we suggest that FER may be essential in detecting psychosis risk.
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Zhao X, Yao J, Lv Y, Zhang X, Han C, Chen L, Ren F, Zhou Q, Jin Z, Li Y, Du Y, Sui Y. Facial emotion perception abilities are related to grey matter volume in the culmen of cerebellum anterior lobe in drug-naïve patients with first-episode schizophrenia. Brain Imaging Behav 2022; 16:2072-2085. [PMID: 35751735 DOI: 10.1007/s11682-022-00677-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/13/2022] [Indexed: 11/02/2022]
Abstract
Impaired capability for understanding and interpreting the expressions on other people's faces manifests itself as a core feature of schizophrenia, contributing to social dysfunction. With the purpose of better understanding of the neurobiological basis of facial emotion perception deficits in schizophrenia, we investigated facial emotion perception abilities and regional structural brain abnormalities in drug-naïve patients with first-episode schizophrenia, and then examined the correlation between them. Fifty-two drug-naive patients with first-episode schizophrenia and 29 group-matched healthy controls were examined for facial emotion perception abilities assessed with the Facial Emotion Categorization and performed magnetic resonance imaging. The Facial Emotion Categorization data were inserted into a logistic function model so as to calculate shift point and slope as outcome measurements. Voxel-based morphometry was applied to investigate regional grey matter volume (GMV) alterations. The relationship between facial emotion perception and GMV was explored in patients using voxel-wise correlation analysis within brain regions that showed a significant GMV alterations in patients compared with controls. The schizophrenic patients performed differently on Facial Emotion Categorization tasks from the controls and presented a higher shift point and a steeper slope. Relative to the controls, patients showed GMV reductions in the superior temporal gyrus, middle occipital gyrus, parahippocampa gyrus, posterior cingulate, the culmen of cerebellum anterior lobe, cerebellar tonsil, and the declive of cerebellum posterior lobe. Importantly, abnormal performance on Facial Emotion Categorization was found correlated with GMV alterations in the culmen of cerebellum anterior lobe in schizophrenia. This study suggests that reduced GMV in the culmen of cerebellum anterior lobe occurs in first-episode schizophrenia, constituting a potential neuropathological basis for the impaired facial emotion perception in schizophrenia.
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Affiliation(s)
- Xiaoxin Zhao
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China
| | | | - Yiding Lv
- Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210029, China
| | | | - Chongyang Han
- Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210029, China
| | - Lijun Chen
- Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210029, China
| | - Fangfang Ren
- Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210029, China
| | - Qun Zhou
- Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210029, China
| | - Zhuma Jin
- Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210029, China
| | - Yuan Li
- Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210029, China
| | - Yasong Du
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China.
| | - Yuxiu Sui
- Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210029, China.
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Maurage P, Pabst A, Lannoy S, D'Hondt F, de Timary P, Gaudelus B, Peyroux E. Tackling heterogeneity: Individual variability of emotion decoding deficits in severe alcohol use disorder. J Affect Disord 2021; 279:299-307. [PMID: 33096328 PMCID: PMC7738413 DOI: 10.1016/j.jad.2020.10.022] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 09/02/2020] [Accepted: 10/11/2020] [Indexed: 12/17/2022]
Abstract
BACKGROUND Severe alcohol use disorder (SAUD) is associated with social cognition deficits. Patients with SAUD are impaired for the recognition of emotional facial expressions, particularly at early stages of abstinence. These deficits damage interpersonal relations and increase relapse risk. However, uncertainties still abound on their variation across emotions and on the heterogeneity of emotional impairments across patients. We addressed these questions by exploring how the deficit varies according to emotions' type/intensity and patients' heterogeneity. METHODS Sixty-five recently detoxified patients with SAUD and 65 matched healthy controls performed the Facial Emotion Recognition Test, assessing the ability to identify six emotions (anger, contempt, disgust, fear, happiness, sadness) displayed by morphed faces with various intensities. Accuracy scores and detection thresholds were collected for each emotion. Beyond group comparisons, multiple single-case analyses determined the percentage of patients presenting decoding deficits for each emotion. RESULTS When current depression and anxiety symptoms were controlled for, patients did not present a general emotion decoding deficit, but were rather characterized by specific deficits for disgust/contempt in accuracy, and for disgust in detection threshold scores. Single-case analyses showed that only a third of patients presented a clinically significant emotional deficit. CONCLUSIONS Patients with SAUD only present emotional decoding deficits for specific interpersonal emotions (disgust/contempt) when subclinical psychopathological states are controlled for, and show no general emotional impairment. This goes against the proposal of a generalized social cognition deficit in this population. This group effect moreover masks a massive heterogeneity across patients, which has implications at experimental and clinical levels.
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Affiliation(s)
- Pierre Maurage
- Louvain Experimental Psychopathology research group (LEP), Psychological Sciences Research Institute, UCLouvain, Louvain-la-Neuve, Belgium.
| | - Arthur Pabst
- Louvain Experimental Psychopathology research group (LEP), Psychological Sciences Research Institute, UCLouvain, Louvain-la-Neuve, Belgium
| | - Séverine Lannoy
- Louvain Experimental Psychopathology research group (LEP), Psychological Sciences Research Institute, UCLouvain, Louvain-la-Neuve, Belgium; Stanford University, Department of Psychiatry and Behavioral Sciences, Stanford, CA, USA
| | - Fabien D'Hondt
- Univ. Lille, Inserm, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, Lille, France; CHU Lille, Clinique de Psychiatrie, CURE, Lille, France; Centre National de Ressources et de Résilience Lille-Paris (CN2R), Lille, France
| | - Philippe de Timary
- Louvain Experimental Psychopathology research group (LEP), Psychological Sciences Research Institute, UCLouvain, Louvain-la-Neuve, Belgium; Department of Adult Psychiatry, Saint-Luc Academic Hospital & Institute of Neuroscience, UCLouvain, Brussels, Belgium
| | - Baptiste Gaudelus
- Centre de Neurosciences Cognitives, UMR 5229, CNRS, Bron, France; Service Universitaire de Réhabilitation, SUR-CL3R, Centre Hospitalier Le Vinatier, Lyon, France
| | - Elodie Peyroux
- Centre de Neurosciences Cognitives, UMR 5229, CNRS, Bron, France; Service Universitaire de Réhabilitation, SUR-CL3R, Centre Hospitalier Le Vinatier, Lyon, France
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Gao Z, Zhao W, Liu S, Liu Z, Yang C, Xu Y. Facial Emotion Recognition in Schizophrenia. Front Psychiatry 2021; 12:633717. [PMID: 34017272 PMCID: PMC8129182 DOI: 10.3389/fpsyt.2021.633717] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Accepted: 03/22/2021] [Indexed: 01/17/2023] Open
Abstract
Deficits in facial emotion recognition are one of the most common cognitive impairments, and they have been extensively studied in various psychiatric disorders, especially in schizophrenia. However, there is still a lack of conclusive evidence about the factors associated with schizophrenia and impairment at each stage of the disease, which poses a challenge to the clinical management of patients. Based on this, we summarize facial emotion cognition among patients with schizophrenia, introduce the internationally recognized Bruce-Young face recognition model, and review the behavioral and event-related potential studies on the recognition of emotions at each stage of the face recognition process, including suggestions for the future direction of clinical research to explore the underlying mechanisms of schizophrenia.
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Affiliation(s)
- Zhiyun Gao
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China.,Department of Humanities and Social Science, Shanxi Medical University, Taiyuan, China.,Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Wentao Zhao
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China.,Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Sha Liu
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China.,Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Zhifen Liu
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Chengxiang Yang
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China.,Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Yong Xu
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China.,Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China
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