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Lui SSY, Lam EHY, Wang LL, Leung PBM, Cheung ESL, Wong CHY, Zhan N, Wong RWK, Siu BWM, Tang DYY, Liu ACY, Chan RCK. Negative symptoms in treatment-resistant schizophrenia and its relationship with functioning. Schizophr Res 2024; 270:459-464. [PMID: 38996523 DOI: 10.1016/j.schres.2024.07.008] [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: 03/05/2024] [Revised: 05/09/2024] [Accepted: 07/03/2024] [Indexed: 07/14/2024]
Abstract
BACKGROUND Recent operational criteria for treatment-resistant schizophrenia (TRS) recognized positive and negative symptoms. TRS patients may have heterogeneity in negative symptoms, but empirical data were lacking. We aimed to characterize TRS patients based on negative symptoms using cluster analysis, and to examine between-cluster differences in social functioning. METHODS We administered the Clinical Assessment Interview of Negative symptoms (CAINS), Brief Negative Symptom Scale (BNSS), the Positive and Negative Syndrome Scale (PANSS) and the Social and Occupational Functional Assessment (SOFAS to 126 TRS outpatients. All patients also completed the Temporal Experience of Pleasure Scale (TEPS), the Emotion Expressivity Scale (EES), and the Social Functional Scale (SFS). A two-stage hierarchical cluster analysis was performed with the CAINS, TEPS and EES as clustering variables. We validated the clusters using ANOVAs to compare group differences in the BNSS, PANSS, SOFAS and SFS. RESULTS Clustering indices supported a 3-cluster solution. Clusters 1 (n = 46) and 3 (n = 16) exhibited higher CAINS scores than Cluster 2 (n = 64), and were negative-symptom TRS subtypes. Cluster 1 reported lower TEPS than Cluster 3; but Cluster 3 reported lower EES than Cluster 1. Upon validation, Clusters 1 and 3 exhibited higher BNSS scores than Cluster 2, but only Cluster 1 exhibited lower SOFAS and higher PANSS general symptoms than Cluster 2. Both Clusters 1 and 3 had higher self-report functioning than Cluster 2. CONCLUSION We provided evidence for heterogeneity of negative symptoms in TRS. Negative symptoms can characterize TRS patients and predict functional outcome.
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Affiliation(s)
- Simon S Y Lui
- Department of Psychiatry, School of Clinical Medicine, The Unversity of Hong Kong, Hong Kong SAR, China.
| | | | - Ling-Ling Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China; School of Psychology, Shanghai Normal University, Shanghai, China
| | - Perry B M Leung
- Department of Psychiatry, School of Clinical Medicine, The Unversity of Hong Kong, Hong Kong SAR, China
| | - Ezmond S L Cheung
- Department of Psychiatry, School of Clinical Medicine, The Unversity of Hong Kong, Hong Kong SAR, China
| | - Christy H Y Wong
- Department of Psychiatry, School of Clinical Medicine, The Unversity of Hong Kong, Hong Kong SAR, China
| | - Na Zhan
- Department of Psychiatry, School of Clinical Medicine, The Unversity of Hong Kong, Hong Kong SAR, China
| | - Raisie W K Wong
- Department of Psychiatry, School of Clinical Medicine, The Unversity of Hong Kong, Hong Kong SAR, China
| | | | | | | | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
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2
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Ding C, Li A, Xie S, Tian X, Li K, Fan L, Yan H, Chen J, Chen Y, Wang H, Guo H, Yang Y, Lv L, Wang H, Zhang H, Lu L, Zhang D, Zhang Z, Wang M, Jiang T, Liu B. Mapping Brain Synergy Dysfunction in Schizophrenia: Understanding Individual Differences and Underlying Molecular Mechanisms. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024:e2400929. [PMID: 38900070 DOI: 10.1002/advs.202400929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 05/22/2024] [Indexed: 06/21/2024]
Abstract
To elucidate the brain-wide information interactions that vary and contribute to individual differences in schizophrenia (SCZ), an information-resolved method is employed to construct individual synergistic and redundant interaction matrices based on regional pairwise BOLD time-series from 538 SCZ and 540 normal controls (NC). This analysis reveals a stable pattern of regionally-specific synergy dysfunction in SCZ. Furthermore, a hierarchical Bayesian model is applied to deconstruct the patterns of whole-brain synergy dysfunction into three latent factors that explain symptom heterogeneity in SCZ. Factor 1 exhibits a significant positive correlation with Positive and Negative Syndrome Scale (PANSS) positive scores, while factor 3 demonstrates significant negative correlations with PANSS negative and general scores. By integrating the neuroimaging data with normative gene expression information, this study identifies that each of these three factors corresponded to a subset of the SCZ risk gene set. Finally, by combining data from NeuroSynth and open molecular imaging sources, along with a spatially heterogeneous mean-field model, this study delineates three SCZ synergy factors corresponding to distinct symptom profiles and implicating unique cognitive, neurodynamic, and neurobiological mechanisms.
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Affiliation(s)
- Chaoyue Ding
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
| | - Ang Li
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
| | - Sangma Xie
- School of Automation, Hangzhou Dianzi University, Hangzhou, 310018, China
| | - Xiaohan Tian
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China
| | - Kunchi Li
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
| | - Lingzhong Fan
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
| | - Hao Yan
- Institute of Mental Health, Peking University Sixth Hospital, Beijing, 100191, China
| | - Jun Chen
- Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Yunchun Chen
- Department of Psychiatry, Xijing Hospital, The Fourth Military Medical University, Xi'an, 710032, China
| | - Huaning Wang
- Department of Psychiatry, Xijing Hospital, The Fourth Military Medical University, Xi'an, 710032, China
| | - Hua Guo
- Zhumadian Psychiatric Hospital, Zhumadian, 463000, China
| | - Yongfeng Yang
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, 453002, China
| | - Luxian Lv
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, 453002, China
| | - Huiling Wang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Hongxing Zhang
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, 453002, China
| | - Lin Lu
- Institute of Mental Health, Peking University Sixth Hospital, Beijing, 100191, China
| | - Dai Zhang
- Institute of Mental Health, Peking University Sixth Hospital, Beijing, 100191, China
| | - Zhanjun Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China
| | - Meng Wang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China
| | - Tianzi Jiang
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
| | - Bing Liu
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China
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3
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Buchwald K, Narayanan A, Siegert RJ, Vignes M, Arrowsmith K, Sandham M. Centrality statistics of symptom networks of schizophrenia: a systematic review. Psychol Med 2024; 54:1061-1073. [PMID: 38174555 DOI: 10.1017/s003329172300363x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
The network theory of psychological disorders posits that systems of symptoms cause, or are associated with, the expression of other symptoms. Substantial literature on symptom networks has been published to date, although no systematic review has been conducted exclusively on symptom networks of schizophrenia, schizoaffective disorder, and schizophreniform (people diagnosed with schizophrenia; PDS). This study aims to compare statistics of the symptom network publications on PDS in the last 21 years and identify congruences and discrepancies in the literature. More specifically, we will focus on centrality statistics. Thirty-two studies met the inclusion criteria. The results suggest that cognition, and social, and occupational functioning are central to the network of symptoms. Positive symptoms, particularly delusions were central among participants in many studies that did not include cognitive assessment. Nodes representing cognition were most central in those studies that did. Nodes representing negative symptoms were not as central as items measuring positive symptoms. Some studies that included measures of mood and affect found items or subscales measuring depression were central nodes in the networks. Cognition, and social, and occupational functioning appear to be core symptoms of schizophrenia as they are more central in the networks, compared to variables assessing positive symptoms. This seems consistent despite heterogeneity in the design of the studies.
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Affiliation(s)
- Khan Buchwald
- School of Clinical Sciences, Auckland University of Technology, 90 Akoranga Drive, Northcote, Auckland 0627, New Zealand
| | - Ajit Narayanan
- Engineering, Computer, and Mathematical Sciences, Auckland University of Technology, 90 Akoranga Drive, Northcote, Auckland, New Zealand
| | - Richard John Siegert
- School of Clinical Sciences, Auckland University of Technology, 90 Akoranga Drive, Northcote, Auckland 0627, New Zealand
| | - Matthieu Vignes
- School of Mathematical and Computational Sciences, Massey University, Tennent Drive, Palmerston North, New Zealand
| | - Kim Arrowsmith
- School of Clinical Sciences, Auckland University of Technology, 90 Akoranga Drive, Northcote, Auckland 0627, New Zealand
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Hatzimanolis A, Tosato S, Ruggeri M, Cristofalo D, Mantonakis L, Xenaki LA, Dimitrakopoulos S, Selakovic M, Foteli S, Kosteletos I, Vlachos I, Soldatos RF, Nianiakas N, Ralli I, Kollias K, Ntigrintaki AA, Stefanatou P, Murray RM, Vassos E, Stefanis NC. Diminished social motivation in early psychosis is associated with polygenic liability for low vitamin D. Transl Psychiatry 2024; 14:36. [PMID: 38238289 PMCID: PMC10796745 DOI: 10.1038/s41398-024-02750-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 01/04/2024] [Accepted: 01/08/2024] [Indexed: 01/22/2024] Open
Abstract
Insufficiency of vitamin D levels often occur in individuals with schizophrenia and first-episode psychosis (FEP). However, it is unknown whether this represents a biological predisposition, or it is essentially driven by illness-related alterations in lifestyle habits. Lower vitamin D has also been associated with adverse neurodevelopmental outcomes and predominant negative psychotic symptoms. This study aimed to investigate the contribution of polygenic risk score for circulating 25-hydroxyvitamin D concentration (PRS-vitD) to symptom presentation among individuals with FEP enrolled in the Athens First-Episode Psychosis Research Study (AthensFEP n = 205) and the Psychosis Incident Cohort Outcome Study (PICOS n = 123). The severity of psychopathology was evaluated using the Positive and Negative Syndrome Scale at baseline and follow-up assessments (AthensFEP: 4-weeks follow-up, PICOS: 1-year follow-up). Premorbid intelligence and adjustment domains were also examined as proxy measures of neurodevelopmental deviations. An inverse association between PRS-vitD and severity of negative symptoms, in particular lack of social motivation, was detected in the AthensFEP at baseline (adjusted R2 = 0.04, p < 0.001) and follow-up (adjusted R2 = 0.03, p < 0.01). The above observation was independently validated in PICOS at follow-up (adjusted R2 = 0.06, p < 0.01). No evidence emerged for a relationship between PRS-vitD and premorbid measures of intelligence and adjustment, likely not supporting an impact of lower PRS-vitD on developmental trajectories related to psychotic illness. These findings suggest that polygenic vulnerability to reduced vitamin D impairs motivation and social interaction in individuals with FEP, thereby interventions that encourage outdoor activities and social engagement in this patient group might attenuate enduring negative symptoms.
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Affiliation(s)
- Alex Hatzimanolis
- Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, Eginition University Hospital, Athens, Greece.
- Neurobiology Research Institute, Theodore-Theohari Cozzika Foundation, Athens, Greece.
| | - Sarah Tosato
- Section of Psychiatry, Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Mirella Ruggeri
- Section of Psychiatry, Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Doriana Cristofalo
- Section of Psychiatry, Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Leonidas Mantonakis
- Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, Eginition University Hospital, Athens, Greece
| | - Lida-Alkisti Xenaki
- Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, Eginition University Hospital, Athens, Greece
| | - Stefanos Dimitrakopoulos
- Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, Eginition University Hospital, Athens, Greece
| | - Mirjana Selakovic
- Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, Eginition University Hospital, Athens, Greece
| | - Stefania Foteli
- Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, Eginition University Hospital, Athens, Greece
| | - Ioannis Kosteletos
- Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, Eginition University Hospital, Athens, Greece
| | - Ilias Vlachos
- Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, Eginition University Hospital, Athens, Greece
| | - Rigas-Filippos Soldatos
- Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, Eginition University Hospital, Athens, Greece
| | - Nikos Nianiakas
- Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, Eginition University Hospital, Athens, Greece
| | - Irene Ralli
- Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, Eginition University Hospital, Athens, Greece
| | - Konstantinos Kollias
- Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, Eginition University Hospital, Athens, Greece
| | - Angeliki-Aikaterini Ntigrintaki
- Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, Eginition University Hospital, Athens, Greece
| | - Pentagiotissa Stefanatou
- Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, Eginition University Hospital, Athens, Greece
| | - Robin M Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- National Institute for Health Research, Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College, London, UK
| | - Evangelos Vassos
- National Institute for Health Research, Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College, London, UK
- Department of Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Nikos C Stefanis
- Department of Psychiatry, Medical School, National and Kapodistrian University of Athens, Eginition University Hospital, Athens, Greece
- Neurobiology Research Institute, Theodore-Theohari Cozzika Foundation, Athens, Greece
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5
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Chen LC, Tan WY, Xi JY, Xie XH, Lin HC, Wang SB, Wu GH, Liu Y, Gu J, Jia FJ, Du ZC, Hao YT. Violent behavior and the network properties of psychopathological symptoms and real-life functioning in patients with schizophrenia. Front Psychiatry 2024; 14:1324911. [PMID: 38274426 PMCID: PMC10808501 DOI: 10.3389/fpsyt.2023.1324911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 12/29/2023] [Indexed: 01/27/2024] Open
Abstract
Objective To assess the interplay among psychopathological symptoms and real-life functioning, and to further detect their influence with violent behavior in patient with schizophrenia. Methods A sample of 1,664 patients with post-violence assessments and their propensity score-matched controls without violence from a disease registration report system of community mental health service in Guangdong, China, were studied by network analysis. Ising-Model was used to estimate networks of psychopathological symptoms and real-life functioning. Then, we tested whether network properties indicated the patterns of interaction were different between cases and controls, and calculated centrality indices of each node to identify the central nodes. Sensitivity analysis was conducted to examine the difference of interaction patterns between pre-violence and post-violence assessments in violence cases. Results Some nodes in the same domain were highly positive interrelations, while psychopathological symptoms were negatively related to real-life functioning in all networks. Many symptom-symptom connections and symptom-functioning connections were disconnected after the violence. The network density decreased from 23.53% to 12.42% without statistical significance (p = 0.338). The network structure, the global network strength, and the global clustering coefficient decreased significantly after the violence (p < 0.001, p = 0.019, and p = 0.045, respectively). Real-life functioning had a higher node strength. The strength of sleeping, lack of spontaneity and flow of conversation, and preoccupation were decreased in post-violence network of patients. Conclusion The decreasing connectivity may indicate an increased risk of violence and early warning for detecting violence. Interventions and improving health state based on nodes with high strength might prevent violence in schizophrenia patients.
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Affiliation(s)
- Li-Chang Chen
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Wen-Yan Tan
- Guangdong Mental Health Center, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Jun-Yan Xi
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Xin-Hui Xie
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Hai-Cheng Lin
- Guangdong Mental Health Center, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Shi-Bin Wang
- Guangdong Mental Health Center, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Gong-Hua Wu
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yu Liu
- School of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
| | - Jing Gu
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Fu-Jun Jia
- Guangdong Mental Health Center, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Zhi-Cheng Du
- Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yuan-Tao Hao
- Center for Public Health and Epidemic Preparedness & Response, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases, Peking University, Ministry of Education, Beijing, China
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Hajdúk M, Abplanalp SJ, Jimenez AM, Fisher M, Haut KM, Hooker CI, Lee H, Ventura J, Nahum M, Green MF. Linking social motivation, general motivation, and social cognition to interpersonal functioning in schizophrenia: insights from exploratory graph analysis. Eur Arch Psychiatry Clin Neurosci 2023:10.1007/s00406-023-01733-4. [PMID: 38110742 DOI: 10.1007/s00406-023-01733-4] [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: 01/17/2023] [Accepted: 11/21/2023] [Indexed: 12/20/2023]
Abstract
Motivation in general, and social motivation in particular are important for interpersonal functioning in individuals with schizophrenia. Still, their roles after accounting for social cognition, are not well understood. The sample consisted of 147 patients with schizophrenia. General motivation was measured using the Behavioral inhibition/activation scale (BIS/BAS). Social motivation was measured by Passive social withdrawal and Active social avoidance items from PANSS. Interpersonal functioning was evaluated with Birchwood's Social Functioning Scale (SFS). We used Exploratory Graph Analysis for network estimation and community detection. Active social avoidance, passive social withdrawal, and social withdrawal/engagement (from SFS) were the most important nodes. In addition, three distinct communities were identified: Social cognition, Social motivation, and Interpersonal functioning. Notably, the BIS and BAS measures of general motivation were not part of any community. BAS showed stronger links to functioning than BIS. Passive social withdrawal was more strongly linked to interpersonal functioning than social cognitive abilities. Results suggest that social motivation, especially social approach, is more closely related to interpersonal functioning in schizophrenia than general motivation. In contrast, we found that general motivation was largely unrelated to social motivation. This pattern highlights the importance of type of motivation for understanding variability in interpersonal difficulties in schizophrenia.
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Affiliation(s)
- Michal Hajdúk
- Department of Psychology, Faculty of Arts, Comenius University in Bratislava, Gondova 2, Bratislava, 811 02, Slovakia.
- The Centre for Psychiatric Disorders Research, Science Park, Comenius University in Bratislava, Bratislava, Slovakia.
- Department of Psychiatry, Faculty of Medicine, Comenius University in Bratislava, Bratislava, Slovakia.
| | - Samuel J Abplanalp
- Department of Veterans Affairs, Desert Pacific Mental Illness Research, Education, and Clinical Center, Los Angeles, USA
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, USA
| | - Amy M Jimenez
- Department of Veterans Affairs, Desert Pacific Mental Illness Research, Education, and Clinical Center, Los Angeles, USA
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, USA
| | - Melissa Fisher
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA
| | - Kristen M Haut
- Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Christine I Hooker
- Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Hyunkyu Lee
- Department of Research and Development, Posit Science Inc, San Francisco, USA
| | - Joseph Ventura
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, USA
| | - Mor Nahum
- School of Occupational Therapy, Faculty of Medicine, Hebrew University, Jerusalem, Israel
| | - Michael F Green
- Department of Veterans Affairs, Desert Pacific Mental Illness Research, Education, and Clinical Center, Los Angeles, USA
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, USA
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7
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Handest R, Molstrom IM, Gram Henriksen M, Hjorthøj C, Nordgaard J. A Systematic Review and Meta-Analysis of the Association Between Psychopathology and Social Functioning in Schizophrenia. Schizophr Bull 2023; 49:1470-1485. [PMID: 37260350 PMCID: PMC10686359 DOI: 10.1093/schbul/sbad075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
BACKGROUND Impaired social functioning is a major, but under-elucidated area of schizophrenia. It's typically understood as consequential to, eg, negative symptoms, but meta-analyses on the subject have not examined psychopathology in a broader perspective and there's severe heterogeneity in outcome measures. To enhance functional recovery from schizophrenia, a more comprehensive understanding of the nature of social functioning in schizophrenia is needed. STUDY DESIGN In this systematic review and meta-analysis, we searched PubMed, PsycInfo, and Ovid Embase for studies providing an association between psychopathology and social functioning. Meta-analyses of the regression and correlation coefficients were performed to explore associations between social functioning and psychopathology, as well as associations between their subdomains. STUDY RESULTS Thirty-six studies with a total of 4742 patients were included. Overall social functioning was associated with overall psychopathology (95% CI [-0.63; -0.37]), positive symptoms (95% CI [-0.39; -0.25]), negative symptoms (95% CI [-0.61; -0.42]), disorganized symptoms (95% CI [-0.54; -0.14]), depressive symptoms (95% CI [-0.33; -0.11]), and general psychopathology (95% CI [-0.60; -0.43]). There was significant heterogeneity in the results, with I2 ranging from 52% to 92%. CONCLUSIONS This is the first systematic review and meta-analysis to comprehensively examine associations between psychopathology and social functioning. The finding that all psychopathological subdomains seem to correlate with social functioning challenges the view that impaired social functioning in schizophrenia is mainly a result of negative symptoms. In line with classical psychopathological literature on schizophrenia, it may be more appropriate to consider impaired social functioning as a manifestation of the disorder itself.
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Affiliation(s)
- Rasmus Handest
- Mental Health Center Amager, Copenhagen University Hospital, København V, Denmark
| | - Ida-Marie Molstrom
- Mental Health Center Amager, Copenhagen University Hospital, København V, Denmark
| | - Mads Gram Henriksen
- Mental Health Center Amager, Copenhagen University Hospital, København V, Denmark
- Center for Subjectivity Research, Department of Communication, University of Copenhagen, Copenhagen, Denmark
| | - Carsten Hjorthøj
- Copenhagen Research Center for Mental Health—CORE, Mental Health Center Copenhagen, Copenhagen University Hospital, Hellerup, Denmark
- Department of Public Health, Section of Epidemiology, University of Copenhagen, Hellerup, Denmark
| | - Julie Nordgaard
- Mental Health Center Amager, Copenhagen University Hospital, København V, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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8
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Didier PR, Moore TM, Calkins ME, Prettyman G, Levinson T, Savage C, de Moraes Leme LFV, Kohler CG, Kable J, Satterthwaite T, Gur RC, Gur RE, Wolf DH. Evaluation of a new intrinsic and extrinsic motivation scale in youth with psychosis spectrum symptoms. Compr Psychiatry 2023; 127:152413. [PMID: 37696094 PMCID: PMC10644398 DOI: 10.1016/j.comppsych.2023.152413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 08/16/2023] [Accepted: 08/31/2023] [Indexed: 09/13/2023] Open
Abstract
BACKGROUND Impairment in intrinsic motivation (IM), the drive to satisfy internal desires like mastery, may play a key role in disability in psychosis. However, we have limited knowledge regarding relative impairments in IM compared to extrinsic motivation (EM) or general motivation (GM), in part due to limitations in existing measures. METHODS Here we address this gap using a novel Trait Intrinsic and Extrinsic Motivation self-report scale in a sample of n = 243 participants including those with schizophrenia, psychosis-risk, and healthy controls. Each of the 7 IM and 6 EM items used a 7-point Likert scale assessing endorsement of dispositional statements. Bifactor analyses of these items yielded distinct IM, EM, and GM factor scores. Convergent and discriminant validity were examined in relation to General Causality Orientation Scale (GCOS-CP) and Quality of Life 3-item IM measure (QLS-IM). Utility was assessed in relation to psychosis-spectrum (PS) status and CAINS clinical amotivation. RESULTS IM and EM showed acceptable inter-item consistency (IM: α = 0.88; EM: α = 0.66); the bifactor model exhibited fit that varied from good to borderline to inadequate depending on the specific fit metric (SRMR = 0.038, CFI = 0.94, RMSEA = 0.106 ± 0.014). IM scores correlated with established IM measures: GCOS-CP Autonomy (rho = 0.38, p < 0.01) and QLS-IM (rho = 0.29, p < 0.01). Supporting discriminant validity, IM did not correlate with GCOS-CP Control (rho = -0.14, p > 0.05). Two-year stability in an available longitudinal subset (n = 35) was strong (IM: rho = 0.64, p < 0.01; EM: rho = 0.55, p < 0.01). Trait IM was lower in PS youth (t = 4.24, p < 0.01), and correlated with clinical amotivation (rho = -0.36, p < 0.01); EM did not show significant clinical associations. CONCLUSIONS These results demonstrate the clinical relevance of IM in psychosis risk. They also provide preliminary support for the reliability, validity and utility of this new Trait IM-EM scale, which addresses a measurement gap and can facilitate identification of neurobehavioral and clinical correlates of IM deficits.
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Affiliation(s)
- Paige R Didier
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Psychology, University of Maryland, College Park, MD 20742, USA.
| | - Tyler M Moore
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn-CHOP Lifespan Brain Institute, University of Pennsylvania, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Monica E Calkins
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn-CHOP Lifespan Brain Institute, University of Pennsylvania, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Greer Prettyman
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Tess Levinson
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA; Lynch School of Education and Human Development, Boston College, Chestnut Hill, MA 02467, USA
| | - Chloe Savage
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA
| | | | - Christian G Kohler
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Joseph Kable
- Department of Psychology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Theodore Satterthwaite
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn-CHOP Lifespan Brain Institute, University of Pennsylvania, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Lifespan Informatics and Neuroimaging Center (PennLINC), Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Ruben C Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn-CHOP Lifespan Brain Institute, University of Pennsylvania, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Raquel E Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn-CHOP Lifespan Brain Institute, University of Pennsylvania, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Daniel H Wolf
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA
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9
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Marder SR, Umbricht D. Negative symptoms in schizophrenia: Newly emerging measurements, pathways, and treatments. Schizophr Res 2023; 258:71-77. [PMID: 37517366 DOI: 10.1016/j.schres.2023.07.010] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 04/20/2023] [Accepted: 07/10/2023] [Indexed: 08/01/2023]
Abstract
The negative symptoms of schizophrenia, which often appear earlier than any other symptom, are prominent and clinically relevant in the majority of patients. As a result, interest in their treatment has increased. Patients who exhibit significant negative symptoms have worse functional outcomes than those without, resulting in impairments in occupational, household, and recreational functioning, as well as difficulties in relationships. Yet treatment with currently available medications does not lead to any significant improvements in this core component of schizophrenia. An increased understanding of the pathophysiology underlying negative symptoms and the discovery of novel treatments that do not directly target dopamine offer the potential to develop therapies that may reduce negative symptoms and increase quality of life for patients. The current article will discuss the impact of negative symptoms, outline current measurement tools for the assessment of negative symptoms, and examine how these measures may be improved. Insights into the neural circuitry underlying negative symptoms will be discussed, and promising targets for the development of effective treatments for these symptoms will be identified. As more prospective, large-scale, randomized studies focus on the effects of treatments on negative symptoms, progress in this area is foreseeable. However, improvements in clinical assessment instruments, a better understanding of the underlying neural mechanisms, development of novel treatments with varied targets, and a greater focus on personalized treatment are all important to produce significant benefits for patients with negative symptoms of schizophrenia.
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Affiliation(s)
- Stephen R Marder
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States of America; Veterans Affairs Desert Pacific Mental Illness Research, Education, and Clinical Center, Los Angeles, CA, United States of America.
| | - Daniel Umbricht
- Xperimed LLC, Basel, Switzerland; University of Zurich, Zurich, Switzerland
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10
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Jiang Y, Zhang T, Zhang M, Xie X, Tian Y, Wang K, Bai T. Apathy in melancholic depression and abnormal neural activity within the reward-related circuit. Behav Brain Res 2023; 444:114379. [PMID: 36870397 DOI: 10.1016/j.bbr.2023.114379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 02/27/2023] [Accepted: 03/01/2023] [Indexed: 03/06/2023]
Abstract
Major depressive disorder is a heterogeneous syndrome, of which the most common subtype is melancholic depression (MEL). Previous studies have indicated that anhedonia is frequently a cardinal feature in MEL. As a common syndrome of motivational deficit, anhedonia is closely associated with dysfunction in reward-related networks. However, little is currently known about apathy, another syndrome of motivational deficits, and the underlying neural mechanisms in MEL and non-melancholic depression (NMEL). Herein, the Apathy Evaluation Scale (AES) was used to compare apathy between MEL and NMEL. On the basis of resting-state functional magnetic resonance imaging, functional connectivity strength (FCS) and seed-based functional connectivity (FC) were calculated within reward-related networks and compared among 43 patients with MEL, 30 patients with NMEL, and 35 healthy controls. Patients with MEL had higher AES scores than those with NMEL (t = -2.20, P = 0.03). Relative to NMEL, MEL was associated with greater FCS (t = 4.27, P < 0.001) in the left ventral striatum (VS), and greater FC of the VS with the ventral medial prefrontal cortex (t = 5.03, P < 0.001) and dorsolateral prefrontal cortex (t = 3.18, P = 0.005). Taken together the results indicate that reward-related networks may play diverse pathophysiological roles in MEL and NMEL, thus providing potential directions for future interventions in the treatment of various depression subtypes.
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Affiliation(s)
- Yu Jiang
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Ting Zhang
- Department of Psychiatry, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Mengdan Zhang
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Xiaohui Xie
- Department of Neurology, the Second Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Yanghua Tian
- Department of Neurology, the Second Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei 230022, China
| | - Kai Wang
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei 230022, China.
| | - Tongjian Bai
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei 230022, China.
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11
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Lui SSY, Wang LL, Lau WYS, Shing E, Yeung HKH, Tsang KCM, Zhan EN, Cheung ESL, Ho KKY, Hung KSY, Cheung EFC, Chan RCK. Emotion-behaviour decoupling and experiential pleasure deficits predict negative symptoms and functional outcome in first-episode schizophrenia patients. Asian J Psychiatr 2023; 81:103467. [PMID: 36669292 DOI: 10.1016/j.ajp.2023.103467] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 12/29/2022] [Accepted: 01/13/2023] [Indexed: 01/18/2023]
Abstract
BACKGROUND Emotion-behaviour decoupling refers to the failure to translate emotion into motivated behaviour, and is a putative marker for schizophrenia. The heterogeneity of experiential pleasure and emotion expressivity deficits has been reported in schizophrenia patients. These three constructs are believed to contribute to negative symptoms, but very few studies have examined their predictive ability for clinical and functional outcome of schizophrenia. This study aimed to clarify whether these three constructs influence clinical and functional outcome of schizophrenia. METHOD At baseline, 127 first-episode schizophrenia patients completed a behavioural paradigm for emotion-behaviour decoupling, and self-report scales for experiential pleasure and emotion expressivity deficits. Cluster-analysis was applied to characterize schizophrenia subgroups based on these three constructs. At end-point (mean follow-up = 5.37 years, SD = 1.03 years), 85 schizophrenia patients were reassessed using the Clinical Assessment Interview for Negative Symptoms (CAINS) and a clinician-rated social functioning scale. RESULTS Cluster 1 (n = 74) did not show emotion-behaviour decoupling, and had intact experiential pleasure and emotion expressivity. Cluster 2 (n = 29) showed emotion-behaviour decoupling and experiential pleasure deficits. Cluster 3 (n = 24) showed emotion expressivity deficits. At endpoint, the three clusters differed significantly in CAINS MAP factor (p = 0.016) and social functioning (p = 0.019), but not CAINS EXP factor. Specifically, Cluster 2 (n = 18) showed more severe negative symptoms of CAINS MAP factor (p = 0.046) and poorer social functioning (p = 0.022) than Cluster 1 (n = 49). Cluster 3 (n = 18) did not differ from Cluster 1 and Cluster 2 in negative symptoms and social functioning. DISCUSSION Emotion-behaviour decoupling and experiential pleasure deficits predicted clinical and functional outcome of schizophrenia.
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Affiliation(s)
- Simon S Y Lui
- Department of Psychiatry, School of Clinical Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
| | - Ling-Ling Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Wilson Y S Lau
- Castle Peak Hospital, Hong Kong Special Administrative Region, China
| | - Eunice Shing
- Department of Psychiatry, School of Clinical Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Hera K H Yeung
- Castle Peak Hospital, Hong Kong Special Administrative Region, China
| | - Kirby C M Tsang
- Castle Peak Hospital, Hong Kong Special Administrative Region, China
| | - Emma N Zhan
- Department of Psychiatry, School of Clinical Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Ezmond S L Cheung
- Department of Psychiatry, School of Clinical Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Karen K Y Ho
- Castle Peak Hospital, Hong Kong Special Administrative Region, China
| | - Karen S Y Hung
- Department of Psychiatry, School of Clinical Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Eric F C Cheung
- Castle Peak Hospital, Hong Kong Special Administrative Region, China
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
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12
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Wang K, Hu Y, He Q, Xu F, Wu YJ, Yang Y, Zhang W. Network analysis links adolescent depression with childhood, peer, and family risk environment factors. J Affect Disord 2023; 330:165-172. [PMID: 36828149 DOI: 10.1016/j.jad.2023.02.103] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 02/19/2023] [Accepted: 02/20/2023] [Indexed: 02/24/2023]
Abstract
BACKGROUND Adolescent mental health is influenced by various adverse environmental conditions. However, it remains unclear how these factors jointly affect adolescent depression. This study aimed to use network analysis to assess the associations between different environmental factors and depressive symptoms in adolescents and to identify key pathways between them. METHODS This study included 610 adolescents with depression from inpatient and outpatient units recruited between March 2020 and November 2021. The mean age was 14.86 ± 1.96, with no significant difference between males (n = 155, 15.10 ± 2.19) and females (n = 455, 14.78 ± 1.88). Depressive symptoms were measured using the Children's Depression Inventory, and individual risk environment factors included childhood trauma, social peer and family risk factors. Network features, including network centrality, stability, and bridge centrality, were investigated. RESULTS Anhedonia and self-esteem were found to be more central in depressive symptoms. Insult experiences from the social peer and emotional abuse experience from childhood were more central environmental factors. Childhood trauma experiences were more related to adolescent depressive symptoms compared to family and peer factors. Bridge analyses identified emotional abuse, emotional neglect and physical neglect as the main bridges linking environment risk to depressive symptoms. LIMITATIONS This was a cross-sectionally designed study, which limited its ability to examine longitudinal dynamic interactions between environmental factors and adolescent depressive symptoms. CONCLUSIONS Our findings suggested that childhood trauma experiences might have greater psychological impacts on adolescent depression than family and social peer environments, and should be considered as crucial targets for preventing severe depressive moods.
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Affiliation(s)
- Kangcheng Wang
- School of Psychology, Shandong Normal University, Jinan 250358, China; Shandong Mental Health Center, Shandong University, Jinan 250014, China
| | - Yufei Hu
- School of Psychology, Shandong Normal University, Jinan 250358, China
| | - Qiang He
- Shandong Mental Health Center, Shandong University, Jinan 250014, China
| | - Feiyu Xu
- Shandong Mental Health Center, Shandong University, Jinan 250014, China; School of Mental Health, Jining Medical University, Jining 272067, China
| | - Yan Jing Wu
- Faculty of Foreign Languages, Ningbo University, Ningbo, Zhejiang, China
| | - Ying Yang
- Shandong Mental Health Center, Shandong University, Jinan 250014, China; Department of Psychiatry, School of Clinical Medicine, Cheeloo College of Medicine, Shandong University, Jinan 250012, China.
| | - Wenxin Zhang
- School of Psychology, Shandong Normal University, Jinan 250358, China.
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13
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Pan Y, Wen Y, Wang Y, Schilbach L, Chen J. Interpersonal coordination in schizophrenia: a concise update on paradigms, computations, and neuroimaging findings. PSYCHORADIOLOGY 2023; 3:kkad002. [PMID: 38666124 PMCID: PMC10917372 DOI: 10.1093/psyrad/kkad002] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 01/31/2023] [Accepted: 02/06/2023] [Indexed: 04/28/2024]
Affiliation(s)
- Yafeng Pan
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Yalan Wen
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Yajie Wang
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Leonhard Schilbach
- Department of General Psychiatry 2 and Neuroimaging Section, LVR-Klinikum Düsseldorf, Düsseldorf 40629, Germany
- Medical Faculty, Ludwig-Maximilians University, Munich 80539, Germany
| | - Ji Chen
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, China
- Department of Psychiatry, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, Zhejiang 322000, China
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14
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Wang Z, Ling Y, Wang Y, Zhu T, Gao J, Tang X, Yu M, Zhou C, Xu Y, Zhang X, Zhang X, Fang X. The Role of Two Factors of Negative Symptoms and Cognition on Social Functioning in Male Patients with Schizophrenia: A Mediator Model. Brain Sci 2023; 13:brainsci13020187. [PMID: 36831730 PMCID: PMC9953813 DOI: 10.3390/brainsci13020187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 01/11/2023] [Accepted: 01/20/2023] [Indexed: 01/24/2023] Open
Abstract
OBJECTIVE This study aims to compare the cognitive function and social functioning in male patients with deficit syndrome (DS) and non-DS, and to explore whether cognitive function serves as a mediator in the relationship between the two factors of negative symptoms (motivation and pleasure (MAP) and expressivity (EXP) deficits, and social functioning in schizophrenia patients. METHODS One hundred and fifty-six male patients with schizophrenia and 109 age- and education-matched normal controls were enrolled in the current study. The Chinese version of a Schedule for Deficit Syndrome (SDS) was used for DS and non-DS categorization. The Brief Psychiatric Rating Scale (BPRS) and the Brief Negative Symptoms Scale (BNSS) were used to assess psychotic and negative symptoms in patients. The Social-Adaptive Functioning Evaluation (SAFE) was adopted to evaluate patients' social functioning, and a battery of classical neurocognitive tests was used to assess cognition, including sustained vigilance/attention, cognitive flexibility, ideation fluency, and visuospatial memory. RESULTS We found that male patients with DS performed worse in all four cognitive domains and social functioning compared to non-DS patients. Both total negative symptoms and its two factors were significantly associated with all four domains of cognition and social functioning in male patients. Interestingly, our results indicate that only cognitive flexibility mediates the relationship between negative symptoms and social functioning in schizophrenia patients, but there were no differences between EXP and MAP negative factors in this model. CONCLUSION Our findings suggest that DS patients may represent a unique clinical subgroup of schizophrenia, and the integrated interventions targeting both negative symptoms and cognition, especially cognitive flexibility, may optimally improve functional outcomes in schizophrenia patients.
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Affiliation(s)
- Zixu Wang
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Yuru Ling
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Yu Wang
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Tingting Zhu
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Ju Gao
- Suzhou Guangji Hospital, Medical College of Soochow University, Suzhou 215008, China
| | - Xiaowei Tang
- Affiliated WuTaiShan Hospital of Medical College of Yangzhou University, Yangzhou 225003, China
| | - Miao Yu
- Department of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Chao Zhou
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Yanmin Xu
- Department of Psychiatry, Wuhan Mental Health Center, Wuhan 430012, China
| | - Xiaobin Zhang
- Suzhou Guangji Hospital, Medical College of Soochow University, Suzhou 215008, China
- Affiliated WuTaiShan Hospital of Medical College of Yangzhou University, Yangzhou 225003, China
| | - Xiangrong Zhang
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
- Department of Psychiatry, The Affiliated Xuzhou Oriental Hospital of Xuzhou Medical University, Xuzhou 221004, China
- Correspondence: (X.Z.); (X.F.); Tel.: +86-025-82296259 (X.Z.); +86-025-82296099 (X.F.)
| | - Xinyu Fang
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China
- Correspondence: (X.Z.); (X.F.); Tel.: +86-025-82296259 (X.Z.); +86-025-82296099 (X.F.)
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15
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O’Donnell M, Teasdale SB, Chua XY, Hardman J, Wu N, Curtis J, Samaras K, Bolton P, Morris MJ, Shannon Weickert C, Purves-Tyson T, El-Assaad F, Jiang XT, Hold GL, El-Omar E. The Role of the Microbiome in the Metabolic Health of People with Schizophrenia and Related Psychoses: Cross-Sectional and Pre-Post Lifestyle Intervention Analyses. Pathogens 2022; 11:1279. [PMID: 36365032 PMCID: PMC9695516 DOI: 10.3390/pathogens11111279] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 10/19/2022] [Accepted: 10/24/2022] [Indexed: 03/20/2024] Open
Abstract
The microbiome has been implicated in the development of metabolic conditions which occur at high rates in people with schizophrenia and related psychoses. This exploratory proof-of-concept study aimed to: (i) characterize the gut microbiota in antipsychotic naïve or quasi-naïve people with first-episode psychosis, and people with established schizophrenia receiving clozapine therapy; (ii) test for microbiome changes following a lifestyle intervention which included diet and exercise education and physical activity. Participants were recruited from the Eastern Suburbs Mental Health Service, Sydney, Australia. Anthropometric, lifestyle and gut microbiota data were collected at baseline and following a 12-week lifestyle intervention. Stool samples underwent 16S rRNA sequencing to analyse microbiota diversity and composition. Seventeen people with established schizophrenia and five people with first-episode psychosis were recruited and matched with 22 age-sex, BMI and ethnicity matched controls from a concurrent study for baseline comparisons. There was no difference in α-diversity between groups at baseline, but microbial composition differed by 21 taxa between the established schizophrenia group and controls. In people with established illness pre-post comparison of α-diversity showed significant increases after the 12-week lifestyle intervention. This pilot study adds to the current literature that detail compositional differences in the gut microbiota of people with schizophrenia compared to those without mental illness and suggests that lifestyle interventions may increase gut microbial diversity in patients with established illness. These results show that microbiome studies are feasible in patients with established schizophrenia and larger studies are warranted to validate microbial signatures and understand the relevance of lifestyle change in the development of metabolic conditions in this population.
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Affiliation(s)
- Maryanne O’Donnell
- Discipline of Psychiatry and Mental Health, School of Medicine and Health, University of New South Wales, Kensington 2033, Australia
- Eastern Suburbs Mental Health Service, South Eastern Sydney Local Health District, Randwick 2031, Australia
| | - Scott B. Teasdale
- Discipline of Psychiatry and Mental Health, School of Medicine and Health, University of New South Wales, Kensington 2033, Australia
- Mindgardens Neuroscience Network, Sydney 2033, Australia
| | - Xin-Yi Chua
- Microbiome Research Centre, St George and Sutherland Clinical Campuses, University of New South Wales, Kogarah 2217, Australia
| | - Jamie Hardman
- Eastern Suburbs Mental Health Service, South Eastern Sydney Local Health District, Randwick 2031, Australia
| | - Nan Wu
- Microbiome Research Centre, St George and Sutherland Clinical Campuses, University of New South Wales, Kogarah 2217, Australia
- Department of Gastroenterology, The Sutherland Hospital, Caringbah 2229, Australia
| | - Jackie Curtis
- Discipline of Psychiatry and Mental Health, School of Medicine and Health, University of New South Wales, Kensington 2033, Australia
- Eastern Suburbs Mental Health Service, South Eastern Sydney Local Health District, Randwick 2031, Australia
- Mindgardens Neuroscience Network, Sydney 2033, Australia
| | - Katherine Samaras
- Department of Endocrinology, St Vincent’s Hospital Sydney, Victoria St, Darlinghurst 2010, Australia
- Clinical Obesity, Nutrition and Adipose Biology Lab, 384 Garvan Institute of Medical Research, Victoria St, Darlinghurst 2010, Australia
- School of Clinical Medicine, St Vincent’s Healthcare Clinical Campus, University of New South Wales, Darlinghurst 2010, Australia
| | - Patrick Bolton
- Eastern Suburbs Mental Health Service, South Eastern Sydney Local Health District, Randwick 2031, Australia
- School of Public Health, University of New South Wales, Kensington 2033, Australia
| | - Margaret J. Morris
- School of Medical Sciences, University of New South Wales, Kensington 2033, Australia
| | - Cyndi Shannon Weickert
- Discipline of Psychiatry and Mental Health, School of Medicine and Health, University of New South Wales, Kensington 2033, Australia
- Schizophrenia Research Laboratory, Neuroscience Research Australia, Sydney 2033, Australia
- Department of Neuroscience and Physiology, Upstate Medical University, Syracuse, NY 13210, USA
| | - Tertia Purves-Tyson
- Discipline of Psychiatry and Mental Health, School of Medicine and Health, University of New South Wales, Kensington 2033, Australia
- Schizophrenia Research Laboratory, Neuroscience Research Australia, Sydney 2033, Australia
| | - Fatima El-Assaad
- Microbiome Research Centre, St George and Sutherland Clinical Campuses, University of New South Wales, Kogarah 2217, Australia
| | - Xiao-Tao Jiang
- Microbiome Research Centre, St George and Sutherland Clinical Campuses, University of New South Wales, Kogarah 2217, Australia
| | - Georgina L. Hold
- Microbiome Research Centre, St George and Sutherland Clinical Campuses, University of New South Wales, Kogarah 2217, Australia
| | - Emad El-Omar
- Microbiome Research Centre, St George and Sutherland Clinical Campuses, University of New South Wales, Kogarah 2217, Australia
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