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Wang B, Li M, Haihambo N, Qiu Z, Sun M, Guo M, Zhao X, Han C. Characterizing Major Depressive Disorder (MDD) using alpha-band activity in resting-state electroencephalogram (EEG) combined with MATRICS Consensus Cognitive Battery (MCCB). J Affect Disord 2024; 355:254-264. [PMID: 38561155 DOI: 10.1016/j.jad.2024.03.145] [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] [Received: 10/28/2023] [Revised: 03/24/2024] [Accepted: 03/25/2024] [Indexed: 04/04/2024]
Abstract
BACKGROUND The diagnosis of major depressive disorder (MDD) is commonly based on the subjective evaluation by experienced psychiatrists using clinical scales. Hence, it is particularly important to find more objective biomarkers to aid in diagnosis and further treatment. Alpha-band activity (7-13 Hz) is the most prominent component in resting electroencephalogram (EEG), which is also thought to be a potential biomarker. Recent studies have shown the existence of multiple sub-oscillations within the alpha band, with distinct neural underpinnings. However, the specific contribution of these alpha sub-oscillations to the diagnosis and treatment of MDD remains unclear. METHODS In this study, we recorded the resting-state EEG from MDD and HC populations in both open and closed-eye state conditions. We also assessed cognitive processing using the MATRICS Consensus Cognitive Battery (MCCB). RESULTS We found that the MDD group showed significantly higher power in the high alpha range (10.5-11.5 Hz) and lower power in the low alpha range (7-8.5 Hz) compared to the HC group. Notably, high alpha power in the MDD group is negatively correlated with working memory performance in MCCB, whereas no such correlation was found in the HC group. Furthermore, using five established classification algorithms, we discovered that combining alpha oscillations with MCCB scores as features yielded the highest classification accuracy compared to using EEG or MCCB scores alone. CONCLUSIONS Our results demonstrate the potential of sub-oscillations within the alpha frequency band as a potential distinct biomarker. When combined with psychological scales, they may provide guidance relevant for the diagnosis and treatment of MDD.
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Affiliation(s)
- Bin Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, 100191 Beijing, China
| | - Meijia Li
- Faculty of Psychology and Center for Neuroscience, Vrije Universiteit Brussel, 1050 Brussels, Belgium
| | - Naem Haihambo
- Faculty of Psychology and Center for Neuroscience, Vrije Universiteit Brussel, 1050 Brussels, Belgium
| | - Zihan Qiu
- Avenues the World School Shenzhen Campus, Shenzhen 518000, China
| | - Meirong Sun
- School of Psychology, Beijing Sport University, Beijing 100084, China
| | - Mingrou Guo
- Department of Psychology, The Chinese University of Hong Kong, Hong Kong
| | - Xixi Zhao
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, 100191 Beijing, China.
| | - Chuanliang Han
- School of Biomedical Sciences and Gerald Choa Neuroscience Institute, The Chinese University of Hong Kong, Hong Kong.
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Cai B, Zhu Y, Liu D, Li Y, Bueber M, Yang X, Luo G, Su Y, Grivel MM, Yang LH, Qian M, Stone WS, Phillips MR. Use of the Chinese version of the MATRICS Consensus Cognitive Battery to assess cognitive functioning in individuals with high risk for psychosis, first-episode schizophrenia and chronic schizophrenia: a systematic review and meta-analysis. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2024; 45:101016. [PMID: 38699289 PMCID: PMC11064724 DOI: 10.1016/j.lanwpc.2024.101016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 12/18/2023] [Accepted: 01/10/2024] [Indexed: 05/05/2024]
Abstract
More than one hundred studies have used the mainland Chinese version of the MATRICS Consensus Cognitive Battery (MCCB) to assess cognition in schizophrenia, but the results of these studies, the quality of the reports, and the strength of the evidence provided in the reports have not been systematically assessed. We identified 114 studies from English-language and Chinese-language databases that used the Chinese MCCB to assess cognition in combined samples of 7394 healthy controls (HC), 392 individuals with clinical high risk for psychosis (CHR-P), 4922 with first-episode schizophrenia (FES), 1549 with chronic schizophrenia (CS), and 2925 with schizophrenia of unspecified duration. The mean difference (MD) of the composite MCCB T-score (-13.72) and T-scores of each of the seven cognitive domains assessed by MCCB (-14.27 to -7.92) were significantly lower in individuals with schizophrenia than in controls. Meta-analysis identified significantly greater cognitive impairment in FES and CS than in CHR-P in six of the seven domains and significantly greater impairment in CS than FES in the reasoning and problem-solving domain (i.e., executive functioning). The only significant covariate of overall cognitive functioning in individuals with schizophrenia was a negative association with the severity of psychotic symptoms. These results confirm the construct validity of the mainland Chinese version of MCCB. However, there were significant limitations in the strength of the evidence provided about CHR-P (small pooled sample sizes) and the social cognition domain (inconsistency of results across studies), and the quality of many reports (particularly those published in Chinese) was rated 'poor' due to failure to report sample size calculations, matching procedures or methods of handling missing data. Moreover, almost all studies were cross-sectional studies limited to persons under 60 with at least nine years of education, so longitudinal studies of under-educated, older individuals with schizophrenia are needed.
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Affiliation(s)
- Bing Cai
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yikang Zhu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Dongyang Liu
- School of Public Health of Guangxi Medical University, Nanning, Guangxi, China
| | - Yaxi Li
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Marlys Bueber
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xuezhi Yang
- The Fifth People's Hospital, Nanning, Guangxi, China
| | - Guoshuai Luo
- Mental Health Center of Tianjin Medical University, Tianjin Anding Hospital, Tianjin, China
| | - Ying Su
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Margaux M. Grivel
- Department of Social and Behavioral Sciences, School of Global Public Health, New York University, New York, NY, USA
| | - Lawrence H. Yang
- Department of Social and Behavioral Sciences, School of Global Public Health, New York University, New York, NY, USA
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Min Qian
- Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - William S. Stone
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Michael R. Phillips
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA
- Department of Psychiatry, Columbia University, New York, NY, USA
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Luo G, Bai F, Qu X, Jing Y, Wang S, Xuekelaiti Z, Yao C, Li M, Li J. The relationship between serum prolactin levels and cognitive function in drug-naïve schizophrenia patients: a cross-sectional study. J Neural Transm (Vienna) 2024; 131:385-391. [PMID: 38277043 DOI: 10.1007/s00702-024-02748-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 01/16/2024] [Indexed: 01/27/2024]
Abstract
This study aimed to investigate the association between serum prolactin levels and psychiatric symptoms and cognitive function in drug-naïve schizophrenia patients. The study recruited 91 drug-naïve schizophrenia patients and 67 healthy controls. Sociodemographic and clinical data were collected, and cognitive function was assessed using the Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) Consensus Cognitive Battery (MCCB). Serum prolactin levels were measured, and statistical analyses were performed to examine the relationship between prolactin levels, clinical symptoms, and cognitive function. The study found that drug-naïve schizophrenia patients had severe cognitive deficits compared to healthy controls across all seven domains of the MCCB. However, no correlation was found between these patients' serum prolactin levels and clinical severity or cognitive function. The drug-naïve schizophrenia patients had significant cognitive deficits compared to healthy controls. However, there was no significant relationship between prolactin levels and symptomatology and cognition in drug-naïve schizophrenia patients.
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Affiliation(s)
- Guoshuai Luo
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Tianjin, 300222, China
| | - Fengfeng Bai
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Tianjin, 300222, China
| | - Xuehui Qu
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Tianjin, 300222, China
| | - Yifan Jing
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Tianjin, 300222, China
| | - Shuo Wang
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Tianjin, 300222, China
| | - Zaimina Xuekelaiti
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Tianjin, 300222, China
| | - Cong Yao
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Tianjin, 300222, China
| | - Meijuan Li
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Tianjin, 300222, China
| | - Jie Li
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Tianjin, 300222, China.
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Luo G, Li M, Qiu Y, Yao C, Zhang X, Li J. Gender differences and clinical correlates in the age of the first hospitalization in patients with drug-naïve schizophrenia in China: a cross-sectional study. Eur Arch Psychiatry Clin Neurosci 2023:10.1007/s00406-023-01697-5. [PMID: 37833429 DOI: 10.1007/s00406-023-01697-5] [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: 05/22/2023] [Accepted: 09/20/2023] [Indexed: 10/15/2023]
Abstract
Gender differences in the onset age of schizophrenia have been reported in many studies, but differences in the age of the first hospitalization and associated factors have not been explored. The present study investigated gender differences and clinical correlates in the age of the first hospitalization in drug-naïve schizophrenia (DNS). A total of 144 DNS patients and 67 health controls were included. Demographic information, duration of untreated psychosis (DUP), Positive and Negative Symptom Scale (PANSS) scores, the Brief Psychiatric Rating Scale (BPRS) scores, Global Assessment of Functioning (GAF) scores, and MATRICS Consensus Cognitive Battery (MCCB) scores were collected and analyzed. The age of the first hospitalization was significantly earlier in males than in females (P < 0.01). In addition, there were significant differences in the age of the first hospitalization in terms of marital status, occupation, family ranking, suicide attempt, and place of residence (all P < 0.05). After Bonferroni correction, only DUP had a positive correlation with the age of the first hospitalization (PBonferroni < 0.05/6 = 0.0083). Multivariate linear regression analysis showed that gender (β = 0.141, t = 2.434, P = 0.016), marital status (β = 0.219, t = 3.463, P = 0.001), family ranking (β = 0.300, t = 4.918, P < 0.001), suicide attempt (β = 0.348, t = 5.549, P < 0.001), and DUP (β = 0.190, t = 2.969, P < 0.004) positively predicted the age of the first hospitalization. The age of the first hospitalization in male DNS was earlier than in females. In addition, gender, marital status, suicide attempt, DUP, and family rank were independent risk factors for the age of the first hospitalization.
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Affiliation(s)
- Guoshuai Luo
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Tianjin, 300222, China
| | - Meijuan Li
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Tianjin, 300222, China
| | - Yuying Qiu
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Tianjin, 300222, China
| | - Cong Yao
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Tianjin, 300222, China
| | - Xiangyang Zhang
- Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Beijing, 100101, China.
| | - Jie Li
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Tianjin, 300222, China.
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Shao T, Huang J, Zhao Y, Wang W, Tian X, Hei G, Kang D, Gao Y, Liu F, Zhao J, Liu B, Yuan TF, Wu R. Metformin improves cognitive impairment in patients with schizophrenia: associated with enhanced functional connectivity of dorsolateral prefrontal cortex. Transl Psychiatry 2023; 13:315. [PMID: 37821461 PMCID: PMC10567690 DOI: 10.1038/s41398-023-02616-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 09/21/2023] [Accepted: 09/26/2023] [Indexed: 10/13/2023] Open
Abstract
Cognitive impairment is a core feature of schizophrenia, which is aggravated by antipsychotics-induced metabolic disturbance and lacks effective pharmacologic treatments in clinical practice. Our previous study demonstrated the efficiency of metformin in alleviating metabolic disturbance following antipsychotic administration. Here we report that metformin could ameliorate cognitive impairment and improve functional connectivity (FC) in prefrontal regions. This is an open-labeled, evaluator-blinded study. Clinically stable patients with schizophrenia were randomly assigned to receive antipsychotics plus metformin (N = 48) or antipsychotics alone (N = 24) for 24 weeks. The improvement in cognition was assessed by the MATRICS Consensus Cognitive Battery (MCCB). Its association with metabolic measurements, and voxel-wise whole-brain FC with dorsolateral prefrontal cortex (DLPFC) subregions as seeds were evaluated. When compared to the antipsychotics alone group, the addition of metformin resulted in significantly greater improvements in the MCCB composite score, speed of processing, working memory, verbal learning, and visual learning. A significant time × group interaction effect of increased FC between DLPFC and the anterior cingulate cortex (ACC)/middle cingulate cortex (MCC), and between DLPFC subregions were observed after metformin treatment, which was positively correlated with MCCB cognitive performance. Furthermore, the FC between left DLPFC A9/46d to right ACC/MCC significantly mediated metformin-induced speed of processing improvement; the FC between left A46 to right ACC significantly mediated metformin-induced verbal learning improvement. Collectively, these findings demonstrate that metformin can improve cognitive impairments in schizophrenia patients and is partly related to the FC changes in the DLPFC. Trial Registration: The trial was registered with ClinicalTrials.gov (NCT03271866). The full trial protocol is provided in Supplementary Material.
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Affiliation(s)
- Tiannan Shao
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, PR China
| | - Jing Huang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, PR China
| | - Yuxin Zhao
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, PR China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, PR China
| | - Weiyan Wang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, PR China
| | - Xiaohan Tian
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, PR China
| | - Gangrui Hei
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, PR China
| | - Dongyu Kang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, PR China
| | - Yong Gao
- Department of Orthopedics, The First People's Hospital of Changde, Changde Hospital Affiliated to Xiangya Medical College of Central South University, Changde, 415900, PR China
| | - Fangkun Liu
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, 410008, PR China
| | - Jingping Zhao
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, PR China
| | - Bing Liu
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, PR China
| | - Ti-Fei Yuan
- Shanghai Key Laboratory of Psychotic Disorders, Brain Health Institute, National Center for Mental Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, PR China
- Co-innovation Center of Neuroregeneration, Nantong University, Nantong, 226001, PR China
- Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital Affiliated to Tongji University School of Medicine, Shanghai, 200434, PR China
| | - Renrong Wu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, PR China.
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Ding Y, Tian Q, Hou W, Chen Z, Mao Z, Bo Q, Dong F, Wang C. Core of sensory gating deficits in first-episode schizophrenia: attention dysfunction. Front Psychiatry 2023; 14:1160715. [PMID: 37181885 PMCID: PMC10169682 DOI: 10.3389/fpsyt.2023.1160715] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 04/05/2023] [Indexed: 05/16/2023] Open
Abstract
Background Sensory gating deficits are a common feature of schizophrenia and may be indicative of higher-order psychopathological impairments. It has been proposed that incorporating subjective attention components into prepulse inhibition (PPI) measures may improve the accuracy of assessing these deficits. This study aimed to investigate the relationship between modified PPI and cognitive function, with a specific focus on subjective attention, to gain a better understanding of the underlying mechanisms of sensory processing deficits in schizophrenia. Methods Fifty-four unmedicated first-episode schizophrenia (UMFE) patients and 53 healthy controls participated in this study. The modified Prepulse Inhibition paradigm, including Perceived Spatial Separation PPI (PSSPPI) and Perceived Spatial Colocation PPI (PSCPPI), was used to evaluate sensorimotor gating deficits. Cognitive function was assessed in all participants using the Chinese version of the MATRICS Consensus Cognitive Suite Test (MCCB). Results UMFE patients had lower MCCB scores and deficient PSSPPI scores than healthy controls. PSSPPI was negatively correlated with total PANSS scores and positively correlated with the speed of processing, attention/ vigilance, and social cognition. Multiple linear regression analysis showed that the PSSPPI at 60 ms had a significant effect on attentional/ vigilance and social cognition, even after controlling for gender, age, years of education, and smoking. Conclusion The study revealed notable impairments in sensory gating and cognitive function in UMFE patients, best reflected by the PSSPPI measure. Specifically, PSSPPI at 60 ms was significantly associated with both clinical symptoms and cognitive performance, suggesting that PSSPPI at 60 ms may capture psychopathological symptoms related to psychosis.
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Affiliation(s)
- Yushen Ding
- Beijing Key Laboratory of Mental Disorders, Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Qing Tian
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, The Institute of Mental Health, Suzhou, China
| | - Wenpeng Hou
- Beijing Key Laboratory of Mental Disorders, Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Zhenzhu Chen
- Beijing Key Laboratory of Mental Disorders, Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Zhen Mao
- Beijing Key Laboratory of Mental Disorders, Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Qijing Bo
- Beijing Key Laboratory of Mental Disorders, Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Fang Dong
- Beijing Key Laboratory of Mental Disorders, Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Chuanyue Wang
- Beijing Key Laboratory of Mental Disorders, Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
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Tschentscher N, Woll CFJ, Tafelmaier JC, Kriesche D, Bucher JC, Engel RR, Karch S. Neurocognitive Deficits in First-Episode and Chronic Psychotic Disorders: A Systematic Review from 2009 to 2022. Brain Sci 2023; 13:brainsci13020299. [PMID: 36831842 PMCID: PMC9954070 DOI: 10.3390/brainsci13020299] [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: 12/14/2022] [Revised: 01/30/2023] [Accepted: 02/02/2023] [Indexed: 02/12/2023] Open
Abstract
Cognitive impairment in patients suffering from schizophrenia spectrum disorders has been discussed as a strong predictor for multiple disease outcome variables, such as response to psychotherapy, stable relationships, employment, and longevity. However, the consistency and severity of cognitive deficits across multiple domains in individuals with first-episode and chronic psychotic disorders is still undetermined. We provide a comprehensive overview of primary research from the years 2009 to 2022. Based on a Cochrane risk assessment, a systematic synthesis of 51 out of 3669 original studies was performed. Impairment of cognitive functioning in patients diagnosed with first-episode psychotic disorders compared with healthy controls was predicted to occur in all assessed cognitive domains. Few overall changes were predicted for chronically affected patients relative to those in the first-episode stage, in line with previous longitudinal studies. Our research outcomes support the hypothesis of a global decrease in cognitive functioning in patients diagnosed with psychotic disorders, i.e., the occurrence of cognitive deficits in multiple cognitive domains including executive functioning, memory, working memory, psychomotor speed, and attention. Only mild increases in the frequency of cognitive impairment across studies were observed at the chronically affected stage relative to the first-episode stage. Our results confirm and extend the outcomes from prior reviews and meta-analyses. Recommendations for psychotherapeutic interventions are provided, considering the broad cognitive impairment already observed at the stage of the first episode. Based on the risk of bias assessment, we also make specific suggestions concerning the quality of future original studies.
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Affiliation(s)
- Nadja Tschentscher
- Section of Clinical Psychology and Psychophysiology, Department of Psychiatry and Psychotherapy, LMU Hospital Munich, Nußbaumstr. 7, 80336 Munich, Germany
- Correspondence:
| | - Christian F. J. Woll
- Section of Clinical Psychology of Children and Adolescents, Department of Psychology and Educational Sciences, Ludwig Maximilian University of Munich, Leopoldstr. 13, 80802 Munich, Germany
| | - Julia C. Tafelmaier
- Section of Clinical Psychology and Psychophysiology, Department of Psychiatry and Psychotherapy, LMU Hospital Munich, Nußbaumstr. 7, 80336 Munich, Germany
| | - Dominik Kriesche
- Section of Clinical Psychology and Psychophysiology, Department of Psychiatry and Psychotherapy, LMU Hospital Munich, Nußbaumstr. 7, 80336 Munich, Germany
| | - Julia C. Bucher
- Section of Clinical Psychology and Psychophysiology, Department of Psychiatry and Psychotherapy, LMU Hospital Munich, Nußbaumstr. 7, 80336 Munich, Germany
| | - Rolf R. Engel
- Section of Clinical Psychology and Psychophysiology, Department of Psychiatry and Psychotherapy, LMU Hospital Munich, Nußbaumstr. 7, 80336 Munich, Germany
| | - Susanne Karch
- Section of Clinical Psychology and Psychophysiology, Department of Psychiatry and Psychotherapy, LMU Hospital Munich, Nußbaumstr. 7, 80336 Munich, Germany
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Cai Y, Yang T, Yu X, Han X, Chen G, Shi C. The alternate-form reliability study of six variants of the Brief Visual-Spatial Memory Test-Revised and the Hopkins Verbal Learning Test-Revised. Front Public Health 2023; 11:1096397. [PMID: 37033023 PMCID: PMC10073731 DOI: 10.3389/fpubh.2023.1096397] [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: 11/12/2022] [Accepted: 02/22/2023] [Indexed: 04/11/2023] Open
Abstract
Introduction The revised Hopkins Verbal Learning Test-Revised (HVLT-R) and the Brief Visual-Spatial Memory Test-Revised (BVMT-R) are two widely used test involving verbal and visual learning and memory. In the two tests, six different versions are assembled, respectively, to prevent learning effects. Currently, no researchers have compared the six versions of the two tests. Thus, their usefulness in clinical studies requiring multiple follow-ups is limited. In this work, we confirm the equivalence of six HVLT-R and BVMT-R versions. Methods 20 people completed all six HVLT-R and BVMT-R versions, while 120 people were randomly assigned to complete one of the six versions of each test. The Intelligence Quotient (IQ) level is measured using the short version of the Wechsler Adult Intelligence test. R4.2.0 is used for statistical analysis. The K-Related sample test (a non-parametric test) is used to observe the differences in test scores among the 20 subjects. The one-way Analysis of Variance (ANOVA) test is utilized to analyze the differences in test scores among the 120 subjects. The scores on different versions are compared using two similar sample tests. The HVLT-R Total Learning, the HVLT-R Delayed Recall, the BVMT-R Total Learning, and the BVMT-R Delayed Recall are indexes for comparison. Version and test scores are used as research factors, while different versions are used as research levels. Results The results suggest that HVLT-R and BVMT-R versions 3, 5 and 6 are equally difficult, and relatively easy compared to versions 1, 2 and 4. HVLT-R versions 3, 5, and 6 show good reliability and can be used interchangeably when testing word learning ability or short-term memory; BVMT-R Versions 3, 5, and 6 show acceptable reliability and can be can be used interchangeably. Discussion In the study of multiple follow-ups, it is a must to avoid discrepant versions and choose other equivalent versions. The results from this study could be used as a guide for upcoming studies and clinical applications in China.
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Affiliation(s)
- Yumei Cai
- Peking University Institute of Population Research, Beijing, China
| | | | - Xin Yu
- Peking University Institute of Mental Health (Sixth Hospital), Beijing, China
- National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, China
- Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China
| | - Xue Han
- Peking University Institute of Mental Health (Sixth Hospital), Beijing, China
- National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, China
- Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China
- *Correspondence: Xue Han
| | - Gong Chen
- Peking University Institute of Population Research, Beijing, China
- Gong Chen
| | - Chuan Shi
- Peking University Institute of Mental Health (Sixth Hospital), Beijing, China
- National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, China
- Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China
- Chuan Shi
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Li X, Zhao L, Shi H, Wang H, Wang X, Wang L. Elevated serum alkaline phosphatase correlates with postoperative cognitive dysfunction: A retrospective cohort study based on STROBE statement. Medicine (Baltimore) 2022; 101:e31530. [PMID: 36343041 PMCID: PMC9646633 DOI: 10.1097/md.0000000000031530] [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: 11/09/2022] Open
Abstract
Little is known about the association between serum alkaline phosphatase (ALP) levels and postoperative cognitive dysfunction (POCD) after general anesthesia. Thus, we investigated the association of serum ALP levels with POCD in patients who underwent surgery with general anesthesia in a retrospective cohort study. We retrospectively collected data from patients who underwent surgery with general anesthesia between May 2016 and June 2020. Serum ALP activity was detected using a p-nitrophenyl phosphate assay. Pre-and postoperative cognitive function were evaluated using the Chinese version of the Mini-Mental State Examination. Univariate and multivariate logistic regression were used to explore the effect of ALP on cognitive function. The incidence of POCD was 13.5%. Compared with the control group, the POCD group had higher ALP levels. The neuropsychological test results suggested that the scores of most items were lower in the POCD group than in the non-POCD group. Univariate logistic regression indicated that increased ALP levels were significantly associated with cognitive dysfunction (odds ratio = 1.15, 95% confidence interval: 1.13-1.18, P = .000). Multivariate regression showed that elevated ALP was still associated with POCD after adjusting for confounding factors (odds ratio = 1.16, 95% confidence interval: 1.13-1.18, P = .000). The spline regression model indicated the dose-response associations between ALP level and POCD risk (P for nonlinear trend < .001). Our study indicated that elevated serum ALP was an independent predictive factor of POCD at the 3-month follow-up. The occurrence of POCD could be associated with inflammatory status.
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Affiliation(s)
- Xiaoli Li
- Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
| | - Lili Zhao
- Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
- *Correspondence: Lili Zhao, Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, No.1, Jianshe East Road, Erqi District, Zhengzhou, Henan Province 450052, China (e-mail: )
| | - Huijuan Shi
- Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
| | - Huimin Wang
- Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
| | - Xin Wang
- Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
| | - Lingling Wang
- Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China
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Huang Y, Wang W, Hei G, Yang Y, Long Y, Wang X, Xiao J, Xu X, Song X, Gao S, Shao T, Huang J, Wang Y, Zhao J, Wu R. Altered regional homogeneity and cognitive impairments in first-episode schizophrenia: A resting-state fMRI study. Asian J Psychiatr 2022; 71:103055. [PMID: 35303593 DOI: 10.1016/j.ajp.2022.103055] [Citation(s) in RCA: 8] [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: 08/24/2021] [Revised: 01/11/2022] [Accepted: 02/27/2022] [Indexed: 01/18/2023]
Abstract
BACKGROUND Patients with schizophrenia consistently present pervasive cognitive deficits, but the neurobiological mechanism of cognitive impairments remains unclear. By analyzing regional homogeneity (ReHo) of resting-state functional Magnetic Resonance Imaging, this study aimed to explore the association between brain functional alterations and cognitive deficits in first-episode schizophrenia (FES) with a relatively large sample. METHODS A total of 187 patients with FES and 100 healthy controls from 3 independent cohorts underwent resting-state functional magnetic resonance scans. The MATRICS Consensus Cognitive Battery (MCCB) was used to assess cognitive function. Partial correlation analysis was performed between abnormal ReHo values and the severity of symptoms and cognitive deficits. RESULTS Compared with healthy controls, ReHo values increased in right superior frontal cortex and decreased in right anterior cingulate cortex (ACC), left middle occipital gyrus (MOG), left cuneus, right posterior cingulate cortex (PCC), and right superior occipital gyrus in schizophrenia patients. ReHo values in ACC, PCC and superior occipital gyrus were correlated with PANSS scores. In addition, ReHo values in ACC and MOG were negatively correlated with working memory; left cuneus was positively correlated with multiple cognitive domains (speed of processing, attention/vigilance and social cognition); PCC was positively correlated with verbal learning; right superior occipital gyrus was positively correlated with speed of processing and social cognition. CONCLUSION In conclusion, we found widespread ReHo alterations and cognitive dysfunction in FES. And the pathophysiology mechanism of a wide range of cognitive deficits may be related to abnormal spontaneous brain activity.
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Affiliation(s)
- Yuyan Huang
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Weiyan Wang
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Gangrui Hei
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450000, China
| | - Ye Yang
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Yujun Long
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Xiaoyi Wang
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Jingmei Xiao
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Xijia Xu
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing 210000, Jiangsu, China
| | - Xueqin Song
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450000, China
| | - Shuzhan Gao
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing 210000, Jiangsu, China
| | - Tiannan Shao
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Jing Huang
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Ying Wang
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Jingping Zhao
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Renrong Wu
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
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11
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Cao Y, Han C, Peng X, Su Z, Liu G, Xie Y, Zhang Y, Liu J, Zhang P, Dong W, Gao M, Sha S, Zhao X. Correlation Between Resting Theta Power and Cognitive Performance in Patients With Schizophrenia. Front Hum Neurosci 2022; 16:853994. [PMID: 35529780 PMCID: PMC9074816 DOI: 10.3389/fnhum.2022.853994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 03/15/2022] [Indexed: 01/10/2023] Open
Abstract
Objective Schizophrenia is a mental disorder that is characterized by progressive cognitive impairment. Objective measures of cognitive function may provide reliable neurobiomarkers for patients with schizophrenia. The goal of the current work is to explore the correlation between resting theta power and cognitive performance in patients with schizophrenia. Methods Twenty-two patients with schizophrenia and 23 age-, sex-, and education-matched healthy controls were included in this study. The MATRICS Consensus Cognitive Battery (MCCB) was used for cognitive evaluation and the Positive and Negative Syndrome Scale (PANSS) for evaluation of clinical symptoms. EEGs were acquired in the resting state with closed and opened eyes. Between the two groups, we compared the relative theta power and examined their relationship with cognitive performance. Results Compared to healthy controls, patients with schizophrenia showed significantly higher theta power, both with eyes closed and open (P < 0.05). When the eyes were open, negative correlations were found in patients with schizophrenia between theta power in the central and parietal regions with processing speed scores, and between the theta power of the Pz electrode and verbal learning and reasoning and problem-solving scores (r ≥ −0.446). In the control group, theta power over the Fz electrode was negatively correlated with processing speed (r = −0.435). Conclusions Our findings showed that theta activity increased in certain brain regions during resting state in schizophrenia. Negative associations between resting theta power (increased) over the parietal-occipital regions with MCCB domains scores (decreased) suggest that altered theta activity can be used as a neurobiological indicator to predict cognitive performance.
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Affiliation(s)
- Yanxiang Cao
- The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Chuanliang Han
- Shenzhen Key Laboratory of Neuropsychiatric Modulation and Collaborative Innovation Center for Brain Science, Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, CAS Center for Excellence in Brain Science and Intelligence Technology, Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen–Hong Kong Institute of Brain Science, Shenzhen Fundamental Research Institutions, Shenzhen, China
| | - Xing Peng
- School of Public Health, North China University of Science and Technology, Tangshan, China
| | - Ziyao Su
- Beijing Pinggu Hospital-Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Gan Liu
- Beijing Pinggu Hospital-Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Yixi Xie
- Beijing Pinggu Hospital-Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Yiting Zhang
- Beijing Pinggu Hospital-Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Jun Liu
- The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Pei Zhang
- The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Wen Dong
- The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | | | - Sha Sha
- The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
- *Correspondence: Sha Sha,
| | - Xixi Zhao
- The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
- Xixi Zhao,
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12
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Qiu YS, Zeng YH, Yuan RY, Ye ZX, Bi J, Lin XH, Chen YJ, Wang MW, Liu Y, Yao SB, Chen YK, Jiang JY, Lin Y, Lin X, Wang N, Fu Y, Chen WJ. Chinese patients with hereditary spastic paraplegias (HSPs): a protocol for a hospital-based cohort study. BMJ Open 2022; 12:e054011. [PMID: 35017251 PMCID: PMC8753405 DOI: 10.1136/bmjopen-2021-054011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
INTRODUCTION Hereditary spastic paraplegias (HSPs) are uncommon but not rare neurodegenerative diseases. More than 100 pathogenic genes and loci related to spastic paraplegia symptoms have been reported. HSPs have the same core clinical features, including progressive spasticity in the lower limbs, though HSPs are heterogeneous (eg, clinical signs, MRI features, gene mutation). The age of onset varies greatly, from infant to adulthood. In addition, the slow and variable rates of disease progression in patients with HSP represent a substantial challenge for informative assessment of therapeutic efficacy. To address this, we are undertaking a prospective cohort study to investigate genetic-clinical characteristics, find surrogates for monitoring disease progress and identify clinical readouts for treatment. METHODS AND ANALYSIS In this case-control cohort study, we will enrol 200 patients with HSP and 200 healthy individuals in parallel. Participants will be continuously assessed for 3 years at 12-month intervals. Six aspects, including clinical signs, genetic spectrum, cognitive competence, MRI features, potential biochemical indicators and nerve electrophysiological factors, will be assessed in detail. This study will observe clinical manifestations and disease severity based on different molecular mechanisms, including oxidative stress, cholesterol metabolism and microtubule dynamics, all of which have been proposed as potential treatment targets or modalities. The analysis will also assess disease progression in different types of HSPs and cellular pathways with a longitudinal study using t tests and χ2 tests. ETHICS AND DISSEMINATION The study was granted ethics committee approval by the first affiliated hospital of Fujian Medical University (MRCTA, ECFAH of FMU (2019)194) in 2019. Findings will be disseminated via presentations and peer-reviewed publications. Dissemination will target different audiences, including national stakeholders, researchers from different disciplines and the general public. TRIAL REGISTRATION NUMBER NCT04006418.
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Affiliation(s)
- Yu-Sen Qiu
- Department of Neurology and Institute of Neurology of The First Affiliated Hospital, Institute of Neuroscience, and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, Fujian, China
| | - Yi-Heng Zeng
- Department of Neurology and Institute of Neurology of The First Affiliated Hospital, Institute of Neuroscience, and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, Fujian, China
| | - Ru-Ying Yuan
- Department of Neurology and Institute of Neurology of The First Affiliated Hospital, Institute of Neuroscience, and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, Fujian, China
| | - Zhi-Xian Ye
- Department of Neurology and Institute of Neurology of The First Affiliated Hospital, Institute of Neuroscience, and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, Fujian, China
| | - Jin Bi
- Department of Neurology and Institute of Neurology of The First Affiliated Hospital, Institute of Neuroscience, and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, Fujian, China
| | - Xiao-Hong Lin
- Department of Neurology and Institute of Neurology of The First Affiliated Hospital, Institute of Neuroscience, and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, Fujian, China
| | - Yi-Jun Chen
- Department of Neurology and Institute of Neurology of The First Affiliated Hospital, Institute of Neuroscience, and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, Fujian, China
| | - Meng-Wen Wang
- Department of Neurology and Institute of Neurology of The First Affiliated Hospital, Institute of Neuroscience, and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, Fujian, China
| | - Ying Liu
- Department of Radiology of The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, China
- Department of Medical Imaging Technology, College of Medical Technology and Engineering, Fujian Medical University, Fuzhou, Fujian, China
| | - Shao-Bo Yao
- Department of Nuclear Medicine of The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, China
| | - Yi-Kun Chen
- Department of Neurology and Institute of Neurology of The First Affiliated Hospital, Institute of Neuroscience, and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, Fujian, China
| | - Jun-Yi Jiang
- Department of Neurology and Institute of Neurology of The First Affiliated Hospital, Institute of Neuroscience, and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, Fujian, China
| | - Yi Lin
- Department of Neurology and Institute of Neurology of The First Affiliated Hospital, Institute of Neuroscience, and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, Fujian, China
| | - Xiang Lin
- Department of Neurology and Institute of Neurology of The First Affiliated Hospital, Institute of Neuroscience, and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, Fujian, China
| | - Ning Wang
- Department of Neurology and Institute of Neurology of The First Affiliated Hospital, Institute of Neuroscience, and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, Fujian, China
| | - Ying Fu
- Department of Neurology and Institute of Neurology of The First Affiliated Hospital, Institute of Neuroscience, and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, Fujian, China
| | - Wan-Jin Chen
- Department of Neurology and Institute of Neurology of The First Affiliated Hospital, Institute of Neuroscience, and Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, Fujian, China
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13
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Assessing cognition in people with severe mental disorders in low- and middle-income countries: a systematic review of assessment measures. Soc Psychiatry Psychiatr Epidemiol 2022; 57:435-460. [PMID: 34145463 PMCID: PMC8934327 DOI: 10.1007/s00127-021-02120-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Accepted: 06/02/2021] [Indexed: 01/10/2023]
Abstract
BACKGROUND Cognitive difficulties are common in people with severe mental disorders (SMDs) and various measures of cognition are of proven validity. However, there is a lack of systematic evidence regarding the psychometric properties of these measures in low- and middle-income countries (LMICs). OBJECTIVE To systematically review the psychometric properties of cognitive measures validated in people with SMDs in LMICs. METHODS We conducted a systematic review of the literature by searching from four electronic databases. Two authors independently screened studies for their eligibility. Measurement properties of measures in all included studies were extracted. All eligible measures were assessed against criteria set for clinical and research recommendations. Results are summarized narratively and measures were grouped by measurement type and population. RESULTS We identified 23 unique measures from 28 studies. None of these was from low-income settings. Seventeen of the measures were performance-based. The majority (n = 16/23) of the measures were validated in people with schizophrenia. The most commonly reported measurement properties were: known group, convergent, and divergent validity (n = 25/28). For most psychometric property, studies of methodological qualities were found to be doubtful. Among measures evaluated in people with schizophrenia, Brief Assessment of Cognition in Schizophrenia, Cognitive Assessment Interview, MATRICS Consensus Cognitive Battery, and CogState Schizophrenia Battery were with the highest scores for clinical and research recommendation. CONCLUSIONS Studies included in our review provide only limited quality evidence and future studies should consider adapting and validating measures using stronger designs and methods. Nonetheless, validated assessments of cognition could help in the management and allocating therapy in people with SMDs in LMICs.
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14
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Zhuo C, Tian H, Zhou C, Sun Y, Chen X, Li R, Chen J, Yang L, Li Q, Zhang Q, Xu Y, Song X. Transcranial direct current stimulation of the occipital lobes with adjunct lithium attenuates the progression of cognitive impairment in patients with first episode schizophrenia. Front Psychiatry 2022; 13:962918. [PMID: 36177219 PMCID: PMC9513041 DOI: 10.3389/fpsyt.2022.962918] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 08/02/2022] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND There is no standard effective treatment for schizophrenia-associated cognitive impairment. Efforts to use non-invasive brain stimulation for this purpose have been focused mostly on the frontal cortex, with little attention being given to the occipital lobe. MATERIALS AND METHODS We compared the effects of nine intervention strategies on cognitive performance in psychometric measures and brain connectivity measured obtained from functional magnetic resonance imaging analyses. The strategies consisted of transcranial direct current stimulation (t-DCS) or repetitive transcranial magnetic stimulation (r-TMS) of the frontal lobe or of the occipital alone or with adjunct lithium, or lithium monotherapy. We measured global functional connectivity density (gFCD) voxel-wise. RESULTS Although all nine patient groups showed significant improvements in global disability scores (GDSs) following the intervention period (vs. before), the greatest improvement in GDS was observed for the group that received occipital lobe-targeted t-DCS with adjunct lithium therapy. tDCS of the occipital lobe improved gFCD throughout the brain, including in the frontal lobes, whereas stimulation of the frontal lobes had less far-reaching benefits on gFCD in the brain. Adverse secondary effects (ASEs) such as heading, dizziness, and nausea, were commonly experienced by patients treated with t-DCS and r-TMS, with or without lithium, whereas ASEs were rare with lithium alone. CONCLUSION The most effective treatment strategy for impacting cognitive impairment and brain communication was t-DCS stimulation of the occipital lobe with adjunct lithium therapy, though patients often experienced headache with dizziness and nausea after treatment sessions.
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Affiliation(s)
- Chuanjun Zhuo
- Key Laboratory of Real Time Brain Circuit Tracing in Neurology and Psychiatry (RTBNP_Lab), Tianjin Fourth Center Hospital, Tianjin Fourth Central Hospital of Tianjin Medical University, Tianjin, China.,Key Laboratory of Multiple Organ Damages of Major Psychoses (MODMP_Lab), Tianjin Fourth Center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin, China.,Henan Psychiatric Transformation Research Key Laboratory, Zhengzhou University, Zhengzhou, Henan, China.,Biological Psychiatry International Joint Laboratory of Henan, Zhengzhou University, Zhengzhou, Henan, China.,t-DCS and r-TMS Center of Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Tianjin, China.,Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Hongjun Tian
- Key Laboratory of Multiple Organ Damages of Major Psychoses (MODMP_Lab), Tianjin Fourth Center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin, China
| | - Chunhua Zhou
- Department of Pharmacology, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Yun Sun
- t-DCS and r-TMS Center of Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Xinying Chen
- t-DCS and r-TMS Center of Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Ranli Li
- t-DCS and r-TMS Center of Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Jiayue Chen
- Key Laboratory of Real Time Brain Circuit Tracing in Neurology and Psychiatry (RTBNP_Lab), Tianjin Fourth Center Hospital, Tianjin Fourth Central Hospital of Tianjin Medical University, Tianjin, China
| | - Lei Yang
- Key Laboratory of Real Time Brain Circuit Tracing in Neurology and Psychiatry (RTBNP_Lab), Tianjin Fourth Center Hospital, Tianjin Fourth Central Hospital of Tianjin Medical University, Tianjin, China
| | - Qianchen Li
- Key Laboratory of Real Time Brain Circuit Tracing in Neurology and Psychiatry (RTBNP_Lab), Tianjin Fourth Center Hospital, Tianjin Fourth Central Hospital of Tianjin Medical University, Tianjin, China
| | - Qiuyu Zhang
- Key Laboratory of Real Time Brain Circuit Tracing in Neurology and Psychiatry (RTBNP_Lab), Tianjin Fourth Center Hospital, Tianjin Fourth Central Hospital of Tianjin Medical University, Tianjin, China
| | - Yong Xu
- Department of Psychiatry, The First Hospital Affiliated to Shanxi Medical University, Taiyuan, China
| | - Xueqin Song
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
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15
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Zhuo C, Chen G, Chen J, Yang L, Zhang Q, Li Q, Wang L, Ma X, Sun Y, Jia F, Tian H, Jiang D. Baseline global brain structural and functional alterations at the time of symptom onset can predict subsequent cognitive deterioration in drug-naïve first-episode schizophrenia patients: Evidence from a follow-up study. Front Psychiatry 2022; 13:1012428. [PMID: 36311504 PMCID: PMC9615917 DOI: 10.3389/fpsyt.2022.1012428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 09/26/2022] [Indexed: 01/10/2023] Open
Abstract
Alterations in the global brain gray matter volume (gGMV) and global functional connectivity density (gFCD) play a pivotal role in the cognitive impairment and further deterioration in schizophrenia. This study aimed to assess the correlation between alterations in the gGMV and gFCD at baseline (ΔgGMV and ΔgFCD), and the subsequent alterations of cognitive function in schizophrenia patients after 2-year antipsychotic treatment. Global-brain magnetic resonance imaging scans were acquired from 877 drug-naïve, first-episode schizophrenia patients at baseline and after two years of antipsychotic treatment with adequate dosage and duration, and 200 healthy controls. According to ΔgGMV at baseline, schizophrenia patients were divided into mild, moderate, and severe alteration groups. The MATRICS consensus cognitive battery and Global Deficit Score (GDS) were used to assess cognitive impairment. We found that ΔgGMV and ΔgFCD at baseline were significantly correlated with the severity of the cognitive deterioration (ΔGDS). The correlation coefficient indicated a significant positive correlation between baseline ΔgFCD and subsequent cognitive deterioration, with a relatively stronger relation in the mild alteration group (r = 0.31). In addition, there was a significant positive correlation between baseline ΔgGMV and subsequent cognitive deterioration, with a stronger relation in the moderate and severe alteration groups (r = 0.303; r = 0.302, respectively). Our results showed that ΔgGMV and ΔgFCD are correlated with the severity of cognitive deterioration after completion of a 2-year antipsychotic treatment in schizophrenia patients. These findings suggest that baseline alterations in gGMV and gFCD hold potential for predicting subsequent cognitive decline in schizophrenia.
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Affiliation(s)
- Chuanjun Zhuo
- Key Laboratory of Sensory Information Processing Abnormalities in Schizophrenia (SIPAS_Lab), Tianjin Fourth Center Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin Medical University Affiliated of Tianjin Fourth Center Hospital, Tianjin, China.,Department of Psychiatry, Wenzhou Seventh Peoples Hospital, Wenzhou, China.,Department of Psychiatry, Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Nankai University Affiliated Tianjin Anding Hospital, Tianjin, China
| | - Guangdong Chen
- Department of Psychiatry, Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Jiayue Chen
- Key Laboratory of Sensory Information Processing Abnormalities in Schizophrenia (SIPAS_Lab), Tianjin Fourth Center Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin Medical University Affiliated of Tianjin Fourth Center Hospital, Tianjin, China
| | - Lei Yang
- Key Laboratory of Sensory Information Processing Abnormalities in Schizophrenia (SIPAS_Lab), Tianjin Fourth Center Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin Medical University Affiliated of Tianjin Fourth Center Hospital, Tianjin, China
| | - Qiuyu Zhang
- Key Laboratory of Sensory Information Processing Abnormalities in Schizophrenia (SIPAS_Lab), Tianjin Fourth Center Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin Medical University Affiliated of Tianjin Fourth Center Hospital, Tianjin, China
| | - Qianchen Li
- Key Laboratory of Sensory Information Processing Abnormalities in Schizophrenia (SIPAS_Lab), Tianjin Fourth Center Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin Medical University Affiliated of Tianjin Fourth Center Hospital, Tianjin, China
| | - Lina Wang
- Department of Psychiatry, Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Nankai University Affiliated Tianjin Anding Hospital, Tianjin, China
| | - Xiaoyan Ma
- Department of Psychiatry, Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Nankai University Affiliated Tianjin Anding Hospital, Tianjin, China
| | - Yun Sun
- Department of Psychiatry, Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Nankai University Affiliated Tianjin Anding Hospital, Tianjin, China
| | - Feng Jia
- Department of Psychiatry, Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Nankai University Affiliated Tianjin Anding Hospital, Tianjin, China
| | - Hongjun Tian
- Key Laboratory of Sensory Information Processing Abnormalities in Schizophrenia (SIPAS_Lab), Tianjin Fourth Center Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin Medical University Affiliated of Tianjin Fourth Center Hospital, Tianjin, China
| | - Deguo Jiang
- Department of Psychiatry, Wenzhou Seventh Peoples Hospital, Wenzhou, China
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Sequential Multiple-Assignment Randomized Trials to Compare Antipsychotic Treatments (SMART-CAT) in first-episode schizophrenia patients: Rationale and trial design. Schizophr Res 2021; 230:87-94. [PMID: 33279374 DOI: 10.1016/j.schres.2020.11.010] [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: 09/20/2020] [Revised: 11/03/2020] [Accepted: 11/07/2020] [Indexed: 01/10/2023]
Abstract
Accumulated studies have investigated pharmacological interventions for first-episode schizophrenia (FES) patients. However, studies on subsequent treatment steps, which are essential to guide clinicians, are largely missing. This Sequential Multiple-Assignment Randomized Trials comparing Antipsychotic Treatments (SMART-CAT) program intends to evaluate the effectiveness of commonly used antipsychotic drugs in FES patients. The major goals of this study are to examine: 1) what would be the optimal subsequent sequential treatment if the first antipsychotic drug failed; 2) whether clozapine could be used in those first-trial failed and have superior efficacy compared to other atypical antipsychotics. In this article we will report the detail protocol of SMART-CAT. The SMART-CAT is a randomized controlled clinical multicenter trial in which 9 institutions in China will participate. A total of 720 FES patients will be enrolled and followed up for 12 months in this study. The trial includes three treatment phases (each phase lasting for 8 weeks) and a naturalistic follow-up phase; participants who do well on an assigned treatment will remain on that treatment for the duration of the 12-month treatment period, while non-responders will move to the next phase of the study to receive a new treatment. Phase 1 is a randomized controlled trial; patients will be randomly assigned to one of the treatments with oral olanzapine, risperidone, amisulpride, aripiprazole or perphenazine. Subjects who fail to respond after 8 weeks will enter the phase 2 randomization. Phase 2 is an equipoise-stratified randomization trial, and patients will be randomly assigned to oral olanzapine, amisulpride or clozapine for 8 weeks. Subjects who fail to respond after phase 2 will enter an open label trial (phase 3); patients who receive clozapine in phase 2 and fail to respond will be assigned to an extended clozapine treatment or modified electroconvulsive therapy add-on therapy (Phase 3A). Patients who were not assigned to clozapine in phase 2 will be assigned to treatment with clozapine or another SGAs not previously used in phase 1 and 2 (Phase 3B). The primary outcome for the treatment phase is the treatment efficacy rate, which is defined as at least 40% reduction in Positive and Negative Syndrome Scale (PANSS) total score. We hypothesize that clozapine is more therapeutically effective than any other SGAs to patients who failed to meet efficacy criteria in Phase 1, and earlier treatment with clozapine can improve the functional outcomes of schizophrenia patients. As for the naturalistic follow-up phase, time to all-cause treatment failure, marked by its discontinuation is selected as the primary outcome, since it reflects both efficacy and side effects. The all-cause discontinuation is defined as discontinuing for any reasons, including poor efficacy, intolerance of adverse reactions, poor compliance and other reasons. The results of the SMART-CAT trial will provide evidence for the selection of antipsychotics in FES patients who fail to respond to the first trial of an antipsychotic drug. It will also provide evidence for the efficacy and safety of using clozapine in the early phase of schizophrenia treatment by comparing with other SGAs. The study is based on the combination of sequential therapy and dynamic therapy, which can be more suitable to assess the effectiveness of treatment options in the real-world clinical setting. As a result, we hope that this study can provide guidance for an optimal treatment algorithm in first-episode schizophrenia patients. Trial registration: ID NCT03510325 in ClinicalTrials.gov.
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Peng XJ, Hei GR, Li RR, Yang Y, Liu CC, Xiao JM, Long YJ, Shao P, Huang J, Zhao JP, Wu RR. The Association Between Metabolic Disturbance and Cognitive Impairments in Early-Stage Schizophrenia. Front Hum Neurosci 2021; 14:599720. [PMID: 33692676 PMCID: PMC7937877 DOI: 10.3389/fnhum.2020.599720] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Accepted: 12/28/2020] [Indexed: 01/10/2023] Open
Abstract
Background: Cognitive impairment is one of the core symptoms of schizophrenia, which is considered to be significantly correlated to prognosis. In recent years, many studies have suggested that metabolic disorders could be related to a higher risk of cognitive defects in a general setting. However, there has been limited evidence on the association between metabolism and cognitive function in patients with early-stage schizophrenia. Methods: In this study, we recruited 172 patients with early-stage schizophrenia. Relevant metabolic parameters were examined and cognitive function was evaluated by using the MATRICS Consensus Cognitive Battery (MCCB) to investigate the relationship between metabolic disorder and cognitive impairment. Results: Generally, the prevalence of cognitive impairment among patients in our study was 84.7% (144/170), which was much higher than that in the general population. Compared with the general Chinese setting, the study population presented a higher proportion of metabolic disturbance. Patients who had metabolic disturbance showed no significant differences on cognitive function compared with the other patients. Correlation analysis showed that metabolic status was significantly correlated with cognitive function as assessed by the cognitive domain scores (p < 0.05), while such association was not found in further multiple regression analysis. Conclusions: Therefore, there may be no association between metabolic disorder and cognitive impairment in patients with early-stage schizophrenia. Trial Registration: Clinicaltrials.gov, NCT03451734. Registered March 2, 2018 (retrospectively registered).
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Affiliation(s)
- Xing-Jie Peng
- Mental Health Institute of the Second Xiangya Hospital, China National Clinical Research Center on Mental Disorders, China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Central South University, Changsha, China
| | - Gang-Rui Hei
- Mental Health Institute of the Second Xiangya Hospital, China National Clinical Research Center on Mental Disorders, China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Central South University, Changsha, China
| | - Ran-Ran Li
- Mental Health Institute of the Second Xiangya Hospital, China National Clinical Research Center on Mental Disorders, China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Central South University, Changsha, China
| | - Ye Yang
- Mental Health Institute of the Second Xiangya Hospital, China National Clinical Research Center on Mental Disorders, China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Central South University, Changsha, China
| | - Chen-Chen Liu
- Mental Health Institute of the Second Xiangya Hospital, China National Clinical Research Center on Mental Disorders, China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Central South University, Changsha, China
| | - Jing-Mei Xiao
- Mental Health Institute of the Second Xiangya Hospital, China National Clinical Research Center on Mental Disorders, China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Central South University, Changsha, China
| | - Yu-Jun Long
- Mental Health Institute of the Second Xiangya Hospital, China National Clinical Research Center on Mental Disorders, China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Central South University, Changsha, China
| | - Ping Shao
- Mental Health Institute of the Second Xiangya Hospital, China National Clinical Research Center on Mental Disorders, China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Central South University, Changsha, China.,Brain Hospital of Hunan Province, Changsha, China
| | - Jing Huang
- Mental Health Institute of the Second Xiangya Hospital, China National Clinical Research Center on Mental Disorders, China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Central South University, Changsha, China
| | - Jing-Ping Zhao
- Mental Health Institute of the Second Xiangya Hospital, China National Clinical Research Center on Mental Disorders, China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Central South University, Changsha, China
| | - Ren-Rong Wu
- Mental Health Institute of the Second Xiangya Hospital, China National Clinical Research Center on Mental Disorders, China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Central South University, Changsha, China.,Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
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18
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Ma M, Zhang Y, Zhang X, Yan H, Zhang D, Yue W. Common and Distinct Alterations of Cognitive Function and Brain Structure in Schizophrenia and Major Depressive Disorder: A Pilot Study. Front Psychiatry 2021; 12:705998. [PMID: 34354618 PMCID: PMC8329352 DOI: 10.3389/fpsyt.2021.705998] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 06/03/2021] [Indexed: 01/10/2023] Open
Abstract
Objective: Numerous studies indicate that schizophrenia (SCZ) and major depressive disorder (MDD) share pathophysiological characteristics. Investigating the neurobiological features of psychiatric-affective disorders may facilitate the diagnosis of psychiatric disorders. Hence, we aimed to explore whether patients with SCZ and patients with MDD had the similar or distinct cognitive impairments and GMV alterations to further understand their underlying pathophysiological mechanisms. Methods: We recruited a total of 52 MDD patients, 64 SCZ patients, and 65 healthy controls (HCs). The Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) Consensus Cognitive Battery was used to assess cognitive functions. In addition, voxel-based morphometry (VBM) analysis was used to evaluate the gray matter volume (GMV) by using MRI scanning. One-way ANOVA and post-hoc tests were used to find the differences among the MDD, SCZ, and HCs. Finally, we explored the correlation between structural alterations and cognitive functions. Results: Compared with that of HCs, processing speed was impaired in both patients with SCZ and patients with MDD (F = 49.505, p < 0.001). SCZ patients displayed impaired cognitive performance in all dimensions of cognitive functions compared with HCs (p < 0.001, except social cognition, p = 0.043, Bonferroni corrected). Whole-brain VBM analysis showed that both SCZ and MDD groups had reductions of GMV in the medial superior frontal cortex (cluster-level FWE p < 0.05). Patients with SCZ exhibited declining GMV in the anterior cingulate cortex and right middle frontal cortex (MFC) compared with HCs and MDD patients (cluster-level FWE p < 0.05). The mean values of GMV in the right MFC had a positive correlation with the attention/vigilance function in patients with MDD (p = 0.014, partial. r = 0.349, without Bonferroni correction). Conclusions: In total, our study found that MDD and SCZ groups had common cognitive impairments and brain structural alterations, but the SCZ group exhibited more severe impairment than the MDD group in both fields. The above findings may provide a potential support for recognizing the convergent and divergent brain neural pathophysiological mechanisms between MDD and SCZ.
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Affiliation(s)
- Mengying Ma
- Institute of Mental Health, The Sixth Hospital, Peking University, Beijing, China.,Key Laboratory of Mental Health, Ministry of Health & National Clinical Research Center for Mental Disorders, Peking University, Beijing, China
| | - Yuyanan Zhang
- Institute of Mental Health, The Sixth Hospital, Peking University, Beijing, China.,Key Laboratory of Mental Health, Ministry of Health & National Clinical Research Center for Mental Disorders, Peking University, Beijing, China
| | - Xiao Zhang
- Institute of Mental Health, The Sixth Hospital, Peking University, Beijing, China.,Key Laboratory of Mental Health, Ministry of Health & National Clinical Research Center for Mental Disorders, Peking University, Beijing, China
| | - Hao Yan
- Institute of Mental Health, The Sixth Hospital, Peking University, Beijing, China.,Key Laboratory of Mental Health, Ministry of Health & National Clinical Research Center for Mental Disorders, Peking University, Beijing, China
| | - Dai Zhang
- Institute of Mental Health, The Sixth Hospital, Peking University, Beijing, China.,Key Laboratory of Mental Health, Ministry of Health & National Clinical Research Center for Mental Disorders, Peking University, Beijing, China.,PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
| | - Weihua Yue
- Institute of Mental Health, The Sixth Hospital, Peking University, Beijing, China.,Key Laboratory of Mental Health, Ministry of Health & National Clinical Research Center for Mental Disorders, Peking University, Beijing, China.,PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
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19
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Peng XJ, Hei GR, Yang Y, Liu CC, Xiao JM, Long YJ, Huang J, Zhao JP, Wu RR. The Association Between Cognitive Deficits and Clinical Characteristic in First-Episode Drug Naïve Patients With Schizophrenia. Front Psychiatry 2021; 12:638773. [PMID: 33716832 PMCID: PMC7950319 DOI: 10.3389/fpsyt.2021.638773] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Accepted: 01/29/2021] [Indexed: 01/10/2023] Open
Abstract
Background: Schizophrenia is a severe mental disease which characterized by positive symptom, negative symptom, general pathology syndrome and cognitive deficits. In recent years, many studies have investigated the relationship between cognitive deficits and clinical characteristics in schizophrenia, but relatively few studies have been performed on first-episode drug-naïve patients. Methods: Eighty seven first-episode drug-naïve schizophrenia patients were assessed for positive symptom, negative symptom, general pathology symptom and cognitive deficits from the Positive and Negative Symptom Scale and MATRICS Consensus Cognitive Battery. Psychotics depression were assessed using the Calgary depressing scale for schizophrenia. The relationship between clinical characteristics and cognitive deficits were assessed using correlation analysis and linear regression analysis. Results: The prevalence of cognitive deficits among the patients in our study was 85.1% (74/87) which was much higher than that in the general population. According to correlation analysis, negative symptom was negatively correlated with speed of processing and social cognition, and general pathology showed a negative correlation with attention/vigilance. In addition, a positive correlation was found between age and speed of processing. No correlation was found between cognitive deficits and positive symptom. Conclusions: This study confirmed that negative symptom is negatively related with some domains of cognitive function in first-episode drug naïve schizophrenia patients. Trail Registration: NCT03451734. Registered March 2, 2018 (retrospectively registered).
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Affiliation(s)
- Xing-Jie Peng
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,China National Clinical Research Center on Mental Disorders, Changsha, China.,China National Technology Institute on Mental Disorders, Central South University, Changsha, China.,Hunan Key Laboratory of Psychiatry and Mental Health, Chinese Academy of Sciences, Changsha, China
| | - Gang-Rui Hei
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,China National Clinical Research Center on Mental Disorders, Changsha, China.,China National Technology Institute on Mental Disorders, Central South University, Changsha, China.,Hunan Key Laboratory of Psychiatry and Mental Health, Chinese Academy of Sciences, Changsha, China
| | - Ye Yang
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,China National Clinical Research Center on Mental Disorders, Changsha, China.,China National Technology Institute on Mental Disorders, Central South University, Changsha, China.,Hunan Key Laboratory of Psychiatry and Mental Health, Chinese Academy of Sciences, Changsha, China
| | - Chen-Chen Liu
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,China National Clinical Research Center on Mental Disorders, Changsha, China.,China National Technology Institute on Mental Disorders, Central South University, Changsha, China.,Hunan Key Laboratory of Psychiatry and Mental Health, Chinese Academy of Sciences, Changsha, China
| | - Jing-Mei Xiao
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,China National Clinical Research Center on Mental Disorders, Changsha, China.,China National Technology Institute on Mental Disorders, Central South University, Changsha, China.,Hunan Key Laboratory of Psychiatry and Mental Health, Chinese Academy of Sciences, Changsha, China
| | - Yu-Jun Long
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,China National Clinical Research Center on Mental Disorders, Changsha, China.,China National Technology Institute on Mental Disorders, Central South University, Changsha, China.,Hunan Key Laboratory of Psychiatry and Mental Health, Chinese Academy of Sciences, Changsha, China
| | - Jing Huang
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,China National Clinical Research Center on Mental Disorders, Changsha, China.,China National Technology Institute on Mental Disorders, Central South University, Changsha, China.,Hunan Key Laboratory of Psychiatry and Mental Health, Chinese Academy of Sciences, Changsha, China
| | - Jing-Ping Zhao
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,China National Clinical Research Center on Mental Disorders, Changsha, China.,China National Technology Institute on Mental Disorders, Central South University, Changsha, China.,Hunan Key Laboratory of Psychiatry and Mental Health, Chinese Academy of Sciences, Changsha, China
| | - Ren-Rong Wu
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China.,China National Clinical Research Center on Mental Disorders, Changsha, China.,China National Technology Institute on Mental Disorders, Central South University, Changsha, China.,Hunan Key Laboratory of Psychiatry and Mental Health, Chinese Academy of Sciences, Changsha, China.,Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
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20
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López-Navarro E, Del Canto C, Mayol A, Fernández-Alonso O, Reig J, Munar E. Does mindfulness improve inhibitory control in psychotic disorders? A randomized controlled clinical trial. Int J Clin Health Psychol 2020; 20:192-199. [PMID: 32994792 PMCID: PMC7501450 DOI: 10.1016/j.ijchp.2020.07.002] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Accepted: 07/01/2020] [Indexed: 01/10/2023] Open
Abstract
Background/Objective: Impaired Inhibitory Control (IC) is a core feature of psychotic disorders and is related with impaired social functioning in people experiencing psychosis. Despite research showing the benefits of mindfulness over IC in the general population, no study has assessed its effects on IC in psychoses. The aim of our study was to assess the effectiveness of a mindfulness-based intervention combined with integrated rehabilitation treatment in a sample of people diagnosed of psychotic disorders. Method: Fifty-six patients diagnosed with psychotic disorder were recruited and randomly allocated either to integrated rehabilitation treatment or integrated rehabilitation treatment enhanced with 26 mindfulness group sessions. Measures comprised PANSS interview, MAAS scale, and Stroop Color Word Test (SCWT). The primary outcome variable was the performance in the non-congruent trials of the SCWT. Results: There were no differences between groups at baseline. At post-treatment patients allocated to mindfulness group increased their scores in non-congruent trials of SCWT and in MAAS. At post-treatment mindfulness group scored higher than integrated rehabilitation treatment in MAAS. Conclusions: Data suggest that mindfulness added to integrated rehabilitation treatment may improve IC in psychosis. Results are convergent with prior works about the effect of mindfulness over cognitive performance in general population.
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Affiliation(s)
- Emilio López-Navarro
- EvoCog Group, University of Balearic Islands, IFISC, Associated Unit to CSIC, Spain
- Corresponding author: EvoCog Group, Department of Psychology, AMAS Building, University of Balearic Islands, Carretera de Valldemossa km 7.5, Palma de Mallorca 07122, Balearic Islands, Spain.
| | - Cristina Del Canto
- Department of Psychiatry, Son Llàtzer Hospital, Balearic Health Service, Spain
| | - Antoni Mayol
- UCR Serralta Community Rehabilitation Centre, Balearic Health Service, Spain
| | | | - Josep Reig
- EvoCog Group, University of Balearic Islands, IFISC, Associated Unit to CSIC, Spain
| | - Enric Munar
- EvoCog Group, University of Balearic Islands, IFISC, Associated Unit to CSIC, Spain
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21
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Liu Y, Wang G, Jin H, Lyu H, Liu Y, Guo W, Shi C, Meyers J, Wang J, Zhao J, Wu R, Smith RC, Davis JM. Cognitive deficits in subjects at risk for psychosis, first-episode and chronic schizophrenia patients. Psychiatry Res 2019; 274:235-242. [PMID: 30818145 DOI: 10.1016/j.psychres.2019.01.089] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2018] [Revised: 01/28/2019] [Accepted: 01/28/2019] [Indexed: 01/18/2023]
Affiliation(s)
- Yi Liu
- Department of Psychiatry, the Second Xiangya Hospital, Central South University, Changsha, PR China; Mental Health Institute, the Second Xiangya Hospital, Central South University, Changsha, PR China; National Clinical Research Center on Mental Disorders, Changsha, PR China; National Technology Institute on Mental Disorders, Changsha, PR China; Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, PR China
| | - Guodong Wang
- Department of Psychiatry, the Second Xiangya Hospital, Central South University, Changsha, PR China; Mental Health Institute, the Second Xiangya Hospital, Central South University, Changsha, PR China; National Clinical Research Center on Mental Disorders, Changsha, PR China; National Technology Institute on Mental Disorders, Changsha, PR China; Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, PR China
| | - Hua Jin
- University of California San Diego, Department of Psychiatry, San Diego, CA, USA; VA San Diego Healthcare System, San Diego, CA, USA
| | - Hailong Lyu
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, The Key Laboratory of Mental Disorder's Management of Zhejiang Province, No. 79, Qingchun Road, Hangzhou, 310003 Zhejiang, PR China
| | - Yong Liu
- Department of Psychiatry, the Second Xiangya Hospital, Central South University, Changsha, PR China; Mental Health Institute, the Second Xiangya Hospital, Central South University, Changsha, PR China; National Clinical Research Center on Mental Disorders, Changsha, PR China; National Technology Institute on Mental Disorders, Changsha, PR China; Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, PR China
| | - Wenbin Guo
- Department of Psychiatry, the Second Xiangya Hospital, Central South University, Changsha, PR China; Mental Health Institute, the Second Xiangya Hospital, Central South University, Changsha, PR China; National Clinical Research Center on Mental Disorders, Changsha, PR China; National Technology Institute on Mental Disorders, Changsha, PR China; Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, PR China
| | - Chuan Shi
- Peking University Sixth Hospital, 51 Hua Yuan Bei Road, Haidian District, Beijing 100191, PR China
| | - Jordan Meyers
- Oregon health and Science University, Portland, OR, USA
| | - JiJun Wang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai 200030, PR China
| | - Jingping Zhao
- Department of Psychiatry, the Second Xiangya Hospital, Central South University, Changsha, PR China; Mental Health Institute, the Second Xiangya Hospital, Central South University, Changsha, PR China; National Clinical Research Center on Mental Disorders, Changsha, PR China; National Technology Institute on Mental Disorders, Changsha, PR China; Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, PR China.
| | - Renrong Wu
- Department of Psychiatry, the Second Xiangya Hospital, Central South University, Changsha, PR China; Mental Health Institute, the Second Xiangya Hospital, Central South University, Changsha, PR China; National Clinical Research Center on Mental Disorders, Changsha, PR China; National Technology Institute on Mental Disorders, Changsha, PR China; Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, PR China.
| | - Robert C Smith
- Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA; Department of Psychiatry, NYU School of Medicine and Nathan Kline Institute for Psychiatric Research, Hewlett, NY 11557-0316, USA.
| | - John M Davis
- Psychiatric Institute University of Illinois, Chicago, IL, USA
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