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Zhang T, Tang X, Wei Y, Xu L, Cui H, Liu H, Wang Z, Chen T, Zeng L, Tang Y, Yi Z, Li C, Wang J. Neurocognitive resilience as a predictor of psychosis onset and functional outcomes in individuals at high risk. BMC Med 2025; 23:240. [PMID: 40275324 PMCID: PMC12023670 DOI: 10.1186/s12916-025-04059-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2024] [Accepted: 04/09/2025] [Indexed: 04/26/2025] Open
Abstract
BACKGROUND Neurocognitive resilience (NCR) refers to the ability of individuals to maintain cognitive function despite the presence of risk factors for psychosis. Investigating NCR is important as it may help predict the onset of psychosis and functional outcomes in individuals at clinical high risk (CHR) for psychosis. METHODS This study employed a multi-group prospective design with a 3-year follow-up as part of the ShangHai At Risk for Psychosis-Extended project. Neurocognitive performance was assessed using the Chinese version of the Measurement and Treatment Research to Improve Cognition in Schizophrenia Consensus Cognitive Battery. The study focused on two primary outcomes: conversion/non-conversion to psychosis (CHR-C/CHR-NC) and non-remission/remission (CHR-NR/CHR-R). NCR was defined based on the adjusted cognitive variable relative to the healthy control(HC) group's mean, with three categories: NCR (NCR = 0) for scores within one standard deviation, NCR + (NCR = 1) for scores more than one standard deviation above, and NCR - (NCR = - 1) for scores more than one standard deviation below. RESULTS The study included 771 individuals at CHR (346 males, mean age 18.8 years) and 764 HCs (359 males, mean age 22.5 years). Among the CHR participants, 540 (70.0%) completed the 3-year follow-up, with 106 (19.6%) converting to psychosis (CHR-C) and 277 (51.3%) classified as non-remission (CHR-NR). Significant negative correlations were found between the total NCR score and various clinical symptoms. Comparing CHR-C and non-converters (CHR-NC), there were notable differences in NCR distributions across four cognitive measures, with a higher proportion of CHR-C individuals categorized as NCR - . For CHR-NR versus remission (CHR-R), CHR-NR individuals were more likely to be classified as NCR - across nearly all cognitive domains. The receiver operating characteristic (ROC) curve for predicting conversion to psychosis yielded an area under the curve (AUC) of 0.621 (95% CI (0.561-0.681), p = 0.0001), while the ROC for predicting non-remission demonstrated a higher AUC of 0.826 (95% CI (0.790-0.861), p < 0.0001). CONCLUSIONS NCR was associated with both conversion to psychosis and non-remission outcomes in CHR individuals, showing notable predictive accuracy, particularly for non-remission.
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Affiliation(s)
- TianHong Zhang
- Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, 200030, China.
| | - XiaoChen Tang
- Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, 200030, China
| | - YanYan Wei
- Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, 200030, China
| | - LiHua Xu
- Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, 200030, China
| | - HuiRu Cui
- Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, 200030, China
| | - HaiChun Liu
- Department of Automation, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - ZiXuan Wang
- Shanghai Xinlianxin Psychological Counseling Center, Shanghai, China
| | - Tao Chen
- Big Data Research Lab, University of Waterloo, Waterloo, ON, Canada
- Labor and Worklife Program, Harvard University, Cambridge, MA, USA
| | - LingYun Zeng
- Department of Psychiatric Rehabilitation, Shenzhen Kangning Hospital, ShenZhen, GuangDong, China
| | - YingYing Tang
- Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, 200030, China
| | - ZhengHui Yi
- Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, 200030, China
| | - ChunBo Li
- Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, 200030, China
| | - JiJun Wang
- Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, 200030, China.
- Department of Psychiatry, Nantong Fourth People's Hospital & Nantong Brain Hospital, Suzhou, 226000, China.
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Zhang T, Xu L, Wei Y, Cui H, Tang X, Hu Y, Tang Y, Wang Z, Liu H, Chen T, Li C, Wang J. Advancements and Future Directions in Prevention Based on Evaluation for Individuals With Clinical High Risk of Psychosis: Insights From the SHARP Study. Schizophr Bull 2025; 51:343-351. [PMID: 38741342 PMCID: PMC11908854 DOI: 10.1093/schbul/sbae066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
BACKGROUND AND HYPOTHESIS This review examines the evolution and future prospects of prevention based on evaluation (PBE) for individuals at clinical high risk (CHR) of psychosis, drawing insights from the SHARP (Shanghai At Risk for Psychosis) study. It aims to assess the effectiveness of non-pharmacological interventions in preventing psychosis onset among CHR individuals. STUDY DESIGN The review provides an overview of the developmental history of the SHARP study and its contributions to understanding the needs of CHR individuals. It explores the limitations of traditional antipsychotic approaches and introduces PBE as a promising framework for intervention. STUDY RESULTS Three key interventions implemented by the SHARP team are discussed: nutritional supplementation based on niacin skin response blunting, precision transcranial magnetic stimulation targeting cognitive and brain functional abnormalities, and cognitive behavioral therapy for psychotic symptoms addressing symptomatology and impaired insight characteristics. Each intervention is evaluated within the context of PBE, emphasizing the potential for tailored approaches to CHR individuals. CONCLUSIONS The review highlights the strengths and clinical applications of the discussed interventions, underscoring their potential to revolutionize preventive care for CHR individuals. It also provides insights into future directions for PBE in CHR populations, including efforts to expand evaluation techniques and enhance precision in interventions.
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Affiliation(s)
- TianHong Zhang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, PR China
| | - LiHua Xu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, PR China
| | - YanYan Wei
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, PR China
| | - HuiRu Cui
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, PR China
| | - XiaoChen Tang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, PR China
| | - YeGang Hu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, PR China
| | - YingYing Tang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, PR China
| | - ZiXuan Wang
- Department of Psychology, Shanghai Xinlianxin Psychological Counseling Center, Shanghai, China
| | - HaiChun Liu
- Department of Automation, Shanghai Jiao Tong University, Shanghai, China
| | - Tao Chen
- Big Data Research Lab, University of Waterloo, Ontario, Canada
- Labor and Worklife Program, Harvard University, Cambridge, MA, USA
| | - ChunBo Li
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, PR China
| | - JiJun Wang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, PR China
- Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Science, Shanghai, PR China
- Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai, PR China
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Zhang T, Cui H, Tang X, Xu L, Wei Y, Hu Y, Tang Y, Wang Z, Liu H, Chen T, Li C, Wang J. Models of mild cognitive deficits in risk assessment in early psychosis. Psychol Med 2024; 54:2230-2241. [PMID: 38433595 DOI: 10.1017/s0033291724000382] [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: 03/05/2024]
Abstract
BACKGROUND Mild cognitive deficits (MCD) emerge before the first episode of psychosis (FEP) and persist in the clinical high-risk (CHR) stage. This study aims to refine risk prediction by developing MCD models optimized for specific early psychosis stages and target populations. METHODS A comprehensive neuropsychological battery assessed 1059 individuals with FEP, 794 CHR, and 774 matched healthy controls (HCs). CHR subjects, followed up for 2 years, were categorized into converters (CHR-C) and non-converters (CHR-NC). The MATRICS Consensus Cognitive Battery standardized neurocognitive tests were employed. RESULTS Both the CHR and FEP groups exhibited significantly poorer performance compared to the HC group across all neurocognitive tests (all p < 0.001). The CHR-C group demonstrated poorer performance compared to the CHR-NC group on three sub-tests: visuospatial memory (p < 0.001), mazes (p = 0.005), and symbol coding (p = 0.023) tests. Upon adjusting for sex and age, the performance of the MCD model was excellent in differentiating FEP from HC, as evidenced by an Area Under the Receiver Operating Characteristic Curve (AUC) of 0.895 (p < 0.001). However, when applied in the CHR group for predicting CHR-C (AUC = 0.581, p = 0.008), the performance was not satisfactory. To optimize the efficiency of psychotic risk assessment, three distinct MCD models were developed to distinguish FEP from HC, predict CHR-C from CHR-NC, and identify CHR from HC, achieving accuracies of 89.3%, 65.6%, and 80.2%, respectively. CONCLUSIONS The MCD exhibits variations in domains, patterns, and weights across different stages of early psychosis and diverse target populations. Emphasizing precise risk assessment, our findings highlight the importance of tailored MCD models for different stages and risk levels.
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Affiliation(s)
- TianHong Zhang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai 200030, People's Republic of China
| | - HuiRu Cui
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai 200030, People's Republic of China
| | - XiaoChen Tang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai 200030, People's Republic of China
| | - LiHua Xu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai 200030, People's Republic of China
| | - YanYan Wei
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai 200030, People's Republic of China
| | - YeGang Hu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai 200030, People's Republic of China
| | - YingYing Tang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai 200030, People's Republic of China
| | - ZiXuan Wang
- Shanghai Xinlianxin Psychological Counseling Co., Ltd, Shanghai, China
| | - HaiChun Liu
- Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Tao Chen
- Big Data Research Lab, University of Waterloo, Waterloo, ON, Canada
- Labor and Worklife Program, Harvard University, Cambridge, MA, USA
| | - ChunBo Li
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai 200030, People's Republic of China
| | - JiJun Wang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai 200030, People's Republic of China
- Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Science, Shanghai, People's Republic of China
- Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai, People's Republic of China
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Zhang T, Wei Y, Tang X, Cui H, Hu Y, Xu L, Liu H, Wang Z, Chen T, Hu Q, Li C, Wang J. Cognitive Impairments in Drug-Naive Patients With First-Episode Negative Symptom-Dominant Psychosis. JAMA Netw Open 2024; 7:e2415110. [PMID: 38842809 PMCID: PMC11157355 DOI: 10.1001/jamanetworkopen.2024.15110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Accepted: 04/04/2024] [Indexed: 06/07/2024] Open
Abstract
Importance Available antipsychotic medications are predominantly used to treat positive symptoms, such as hallucinations and delusions, in patients with first-episode psychosis (FEP). However, treating negative and cognitive symptoms, which are closely related to functional outcomes, remains a challenge. Objective To explore the cognitive characteristics of patients with negative symptom-dominant (NSD) psychosis. Design, Setting, and Participants This large-scale cross-sectional study of patients with FEP was led by the Shanghai Mental Health Center in China from 2016 to 2021, with participants recruited from 10 psychiatric tertiary hospitals. A comprehensive cognitive assessment was performed among 788 patients with FEP who were drug-naive. Symptom profiles were determined using the Positive and Negative Symptoms Scale (PANSS), and NSD was defined as a PANSS score for negative symptoms higher than that for positive and general symptoms. Positive symptom-dominant (PSD) and general symptom-dominant (GSD) psychosis were defined similarly. Data were analyzed in 2023. Exposure Psychotic symptoms were categorized into 3 groups: NSD, PSD, and GSD. Main Outcomes and Measures Neurocognitive performance, assessed using the Chinese version of the Measurement and Treatment Research to Improve Cognition in Schizophrenia Consensus Cognitive Battery. Results This study included 788 individuals with FEP (median age, 22 [IQR, 17-28] years; 399 men [50.6%]). Patients with NSD exhibited more-pronounced cognitive impairment than did those with PSD or GSD. Specifically, cognitive differences between the NSD and PSD group, as well as between the NSD and GSD group, were most notable in the processing speed and attention domains (Trail Making [F = 4.410; P = .01], Symbol Coding [F = 4.957; P = .007], Verbal Learning [F = 3.198; P = .04], and Continuous Performance [F = 3.057; P = .05]). Patients with PSD and GSD showed no significant cognitive differences. Cognitive impairment was positively associated with the severity of negative symptoms. Most of the cognitive function tests used were able to differentiate patients with NSD from those with PSD and GSD, with significant differences observed across a range of tests, from Brief Visuospatial Memory Test-Revised (χ2 = 3.968; P = .05) to Brief Assessment of Cognition in Schizophrenia symbol coding (χ2 = 9.765; P = .002). Conclusions and Relevance The findings of this cross-sectional study of patients with FEP suggest the presence of a clinical subtype characterized by a predominance of negative symptoms and cognitive impairment.
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Affiliation(s)
- TianHong Zhang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, PR China
| | - YanYan Wei
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, PR China
| | - XiaoChen Tang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, PR China
| | - HuiRu Cui
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, PR China
| | - YeGang Hu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, PR China
| | - LiHua Xu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, PR China
| | - HaiChun Liu
- Department of Automation, Shanghai Jiao Tong University, Shanghai, PR China
| | - ZiXuan Wang
- Shanghai Xinlianxin Psychological Counseling Center, Shanghai, PR China
| | - Tao Chen
- Big Data Research Lab, University of Waterloo, Waterloo, Ontario, Canada
- Labor and Worklife Program, Harvard University, Cambridge, Massachusetts
| | - Qiang Hu
- Department of Psychiatry, ZhenJiang Mental Health Center, Zhenjiang, PR China
| | - ChunBo Li
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, PR China
| | - JiJun Wang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, PR China
- Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Science, Shanghai, PR China
- Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai, PR China
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Zhang T, Cui H, Wei Y, Tang X, Xu L, Hu Y, Tang Y, Liu H, Wang Z, Chen T, Li C, Wang J. Duration of Untreated Prodromal Psychosis and Cognitive Impairments. JAMA Netw Open 2024; 7:e2353426. [PMID: 38277145 PMCID: PMC10818213 DOI: 10.1001/jamanetworkopen.2023.53426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 12/04/2023] [Indexed: 01/27/2024] Open
Abstract
Importance The possible association between the duration of untreated prodromal symptoms (DUPrS) and cognitive functioning in individuals at clinical high risk (CHR) for psychosis remains underexplored. Objective To investigate the intricate interplay between DUPrS, cognitive performance, and conversion outcomes, shedding light on the potential role of DUPrS in shaping cognitive trajectories and psychosis risk in individuals at CHR for psychosis. Design, Setting, and Participants This cohort study of individuals at CHR for psychosis was conducted at the Shanghai Mental Health Center in China from January 10, 2016, to December 29, 2021. Participants at CHR for psychosis typically exhibit attenuated positive symptoms; they were identified according to the Structured Interview for Prodromal Syndromes, underwent baseline neuropsychological assessments, and were evaluated at a 3-year clinical follow-up. Data were analyzed from August 25, 2021, to May 10, 2023. Exposure Duration of untreated prodromal symptoms and cognitive impairments in individuals at CHR for psychosis. Main Outcomes and Measures The primary study outcome was conversion to psychosis. The DUPrS was categorized into 3 groups based on percentiles (33rd percentile for short [≤3 months], 34th-66th percentile for median [4-9 months], and 67th-100th percentile for long [≥10 months]). The DUPrS, cognitive variables, and the risk of conversion to psychosis were explored through quantile regression and Cox proportional hazards regression analyses. Results This study included 506 individuals (median age, 19 [IQR, 16-21] years; 53.6% [n = 271] women). The mean (SD) DUPrS was 7.8 (6.857) months, and the median (IQR) was 6 (3-11) months. The short and median DUPrS groups displayed poorer cognitive performance than the long DUPrS group in the Brief Visuospatial Memory Test-Revised (BVMT-R) (Kruskal-Wallis χ2 = 8.801; P = .01) and Category Fluency Test (CFT) (Kruskal-Wallis χ2 = 6.670; P = .04). Quantile regression analysis revealed positive correlations between DUPrS rank and BVMT-R scores (<90th percentile of DUPrS rank) and CFT scores (within the 20th-70th percentile range of DUPrS rank). Among the 506 participants, 20.8% (95% CI, 17.4%-24.5%) converted to psychosis within 3 years. Cox proportional hazards regression analysis identified lower educational attainment (hazard ratio [HR], 0.912; 95% CI, 0.834-0.998), pronounced negative symptoms (HR, 1.044; 95% CI, 1.005-1.084), and impaired performance on the Neuropsychological Assessment Battery: Mazes (HR, 0.961; 95% CI, 0.924-0.999) and BVMT-R (HR, 0.949; 95% CI, 0.916-0.984) tests as factors associated with conversion. Conclusions and Relevance The finding of this cohort study suggest the intricate interplay between DUPrS, cognitive performance, and conversion risk in individuals at CHR for psychosis. The findings emphasize the importance of considering both DUPrS and cognitive functioning in assessing the trajectory of these individuals.
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Affiliation(s)
- TianHong Zhang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, PR China
| | - HuiRu Cui
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, PR China
| | - YanYan Wei
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, PR China
| | - XiaoChen Tang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, PR China
| | - LiHua Xu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, PR China
| | - YeGang Hu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, PR China
| | - YingYing Tang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, PR China
| | - HaiChun Liu
- Department of Automation, Shanghai Jiao Tong University, Shanghai, China
| | - ZiXuan Wang
- Shanghai Xinlianxin Psychological Counseling Co Ltd, Shanghai, PR China
| | - Tao Chen
- Big Data Research Lab, University of Waterloo, Waterloo, Ontario, Canada
- Labor and Worklife Program, Harvard University, Cambridge, Massachusetts
| | - ChunBo Li
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, PR China
| | - JiJun Wang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, PR China
- Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Science, Shanghai, PR China
- Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai, PR China
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Euler MJ, Duff K, King JB, Hoffman JM. Recall and recognition subtests of the repeatable battery for the assessment of neuropsychological status and their relationship to biomarkers of Alzheimer's disease. NEUROPSYCHOLOGY, DEVELOPMENT, AND COGNITION. SECTION B, AGING, NEUROPSYCHOLOGY AND COGNITION 2023; 30:885-902. [PMID: 36110031 PMCID: PMC10014490 DOI: 10.1080/13825585.2022.2124229] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 09/08/2022] [Indexed: 10/14/2022]
Abstract
Recently, two new recognition subtests for the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) were developed and initially validated in a cohort of older adults who were cognitively intact or classified as amnestic Mild Cognitive Impairment (MCI) or mild Alzheimer's disease (AD). The current paper extends that validation by comparing the recall and recognition subtests of the RBANS, including the existing and recently developed scores, to three commonly used biomarkers in AD in an expanded sample from the initial validation. One hundred fifty-four older adults (65 intact, 46 MCI, 43 AD) were administered the RBANS, which included the recently developed subtests for Story Recognition and Figure Recognition (hits, false positives, total correct), as part of a study on memory and biomarkers. Participants also completed magnetic resonance imaging to obtain hippocampal volumes, positron emission tomography to obtain amyloid plaque deposition, and a blood draw to obtain APOE ε4 status. Whereas correlations between recall scores and biomarkers tended to be moderate (average r = ±0.48), these correlations were comparable across the three recognition total scores (average r = ±0.42), but tended to be lower for recognition hits (average r = ±0.28) and false positives (average r = ±0.38). These results further validate the existing and recently developed recognition scores on the RBANS as providing useful information about brain and genetic pathology in older adults with intact and impaired cognitive functioning.
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Affiliation(s)
- Matthew J Euler
- Department of Psychology, University of Utah, Salt Lake City, UT, USA
| | - Kevin Duff
- Center for Alzheimer's Care, Imaging, and Research, Department of Neurology, University of Utah, Salt Lake City, UT, USA
| | - Jace B King
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, USA
| | - John M Hoffman
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, USA
- Radiology and Imaging Sciences, Center for Quantitative Cancer Imaging, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
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Mohan V, Parekh P, Lukose A, Moirangthem S, Saini J, Schretlen DJ, John JP. Patterns of Impaired Neurocognitive Performance on the Global Neuropsychological Assessment, and Their Brain Structural Correlates in Recent-onset and Chronic Schizophrenia. CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE : THE OFFICIAL SCIENTIFIC JOURNAL OF THE KOREAN COLLEGE OF NEUROPSYCHOPHARMACOLOGY 2023; 21:340-358. [PMID: 37119227 PMCID: PMC10157005 DOI: 10.9758/cpn.2023.21.2.340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Revised: 09/19/2022] [Accepted: 10/12/2022] [Indexed: 05/01/2023]
Abstract
Objective Schizophrenia is associated with impairment in multiple cognitive domains. There is a paucity of research on the effect of prolonged illness duration (≥ 15 years) on cognitive performance along multiple domains. In this pilot study, we used the Global Neuropsychological Assessment (GNA), a brief cognitive battery, to explore the patterns of cognitive impairment in recent-onset (≤ 2 years) compared to chronic schizophrenia (≥ 15 years), and correlate cognitive performance with brain morphometry in patients and healthy adults. Methods We assessed cognitive performance in patients with recent-onset (n = 17, illness duration ≤ 2 years) and chronic schizophrenia (n = 14, duration ≥ 15 years), and healthy adults (n = 16) using the GNA and examined correlations between cognitive scores and gray matter volumes computed from T1-weighted magnetic resonance imaging images. Results We observed cognitive deficits affecting multiple domains in the schizophrenia samples. Selectively greater impairment of perceptual comparison speed was found in adults with chronic schizophrenia (p = 0.009, η2partial = 0.25). In the full sample (n = 47), perceptual comparison speed correlated significantly with gray matter volumes in the anterior and medial temporal lobes (TFCE, FWE p < 0.01). Conclusion Along with generalized deficit across multiple cognitive domains, selectively greater impairment of perceptual comparison speed appears to characterize chronic schizophrenia. This pattern might indicate an accelerated or premature cognitive aging. Anterior-medial temporal gray matter volumes especially of the left hemisphere might underlie the impairment noted in this domain in schizophrenia.
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Affiliation(s)
- Vineeth Mohan
- Multimodal Brain Image Analysis Laboratory (MBIAL), Bangalore, India
- Department of Clinical Neurosciences, Bangalore, India
| | - Pravesh Parekh
- Multimodal Brain Image Analysis Laboratory (MBIAL), Bangalore, India
- ADBS Neuroimaging Centre (ANC), Bangalore, India
- Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India
| | - Ammu Lukose
- Multimodal Brain Image Analysis Laboratory (MBIAL), Bangalore, India
| | - Sydney Moirangthem
- Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India
| | - Jitender Saini
- Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India
| | - David J. Schretlen
- Department of Psychiatry and Behavioral Sciences, MD, USA
- Russel M. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - John P. John
- Multimodal Brain Image Analysis Laboratory (MBIAL), Bangalore, India
- ADBS Neuroimaging Centre (ANC), Bangalore, India
- Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India
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8
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West ML, Parrish EM, Friedman-Yakoobian M. Treatment outcomes for young people at clinical high risk for psychosis: Data from a specialized clinic. Early Interv Psychiatry 2022; 16:500-508. [PMID: 34309198 DOI: 10.1111/eip.13187] [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: 10/22/2020] [Revised: 05/11/2021] [Accepted: 07/01/2021] [Indexed: 11/29/2022]
Abstract
AIM Treatment for youth exhibiting signs of clinical high risk for psychosis (CHR-P) has been emphasized in recent years, but there is need for a greater understanding of the course of symptoms and functioning across treatment. The aim of this study is to describe 10 years of naturalistic treatment outcomes in a real-world, specialized CHR-P outpatient clinic, the Center for Early Detection, Assessment, and Response to Risk (CEDAR) Clinic. METHODS The CEDAR Clinic routinely collects client outcomes data for the purposes of program development, monitoring treatment effectiveness, and characterizing the clinic population. Clients are assessed at baseline, every 6 months (for up to 2 years depending on duration of treatment), and at the end of treatment. A series of mixed-effects models were performed to analyse change over time in outcomes (symptoms and functioning) between baseline and follow-up time points. RESULTS Over time, clients' (N = 123) positive (F = 11.8, p < .001) and negative (F = 4.91, p = .002) symptoms declined relative to their baseline. Social functioning improved over time (F = 2.50, p = .049), as did depression (F = 8.60, p < .001) and hopelessness (F = 4.21, p = .004). Clients' total CEDAR treatment hours ranged across type of treatment service, but the amount of treatment clients received was not associated with any clinical outcomes. CONCLUSIONS Over the course of treatment at this real-world, specialized CHR-P program, clients exhibited significant improvement in clinical outcomes and did not significantly decline in any measured outcomes. We discuss this study in the context of current understanding and guidelines for specialized coordinated specialty care treatment for CHR-P.
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Affiliation(s)
- Michelle L West
- Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.,Department of Mental Health, Massachusetts Mental Health Center, Boston, Massachusetts, USA.,Brookline Center for Community Mental Health, Brookline, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA.,Anschutz Medical Campus, University of Colorado, Aurora, Colorado, USA
| | - Emma M Parrish
- Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.,Department of Mental Health, Massachusetts Mental Health Center, Boston, Massachusetts, USA.,Brookline Center for Community Mental Health, Brookline, Massachusetts, USA.,San Diego State University, University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, California, USA
| | - Michelle Friedman-Yakoobian
- Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.,Department of Mental Health, Massachusetts Mental Health Center, Boston, Massachusetts, USA.,Brookline Center for Community Mental Health, Brookline, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
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9
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Houston ML, Houston JR, Sakaie K, Klinge PM, Vorster S, Luciano M, Loth F, Allen PA. Functional connectivity abnormalities in Type I Chiari: associations with cognition and pain. Brain Commun 2021; 3:fcab137. [PMID: 34278303 PMCID: PMC8279071 DOI: 10.1093/braincomms/fcab137] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2021] [Revised: 04/13/2021] [Accepted: 06/11/2021] [Indexed: 12/30/2022] Open
Abstract
There is initial evidence of microstructural abnormalities in the fibre-tract pathways of the cerebellum and cerebrum of individuals diagnosed with Type I Chiari malformation. However, it is unclear whether abnormal white matter architecture and macro-level morphological deviations that have been observed in Chiari translate to differences in functional connectivity. Furthermore, common symptoms of Chiari include pain and cognitive deficits, but the relationship between these symptoms and functional connectivity has not been explored in this population. Eighteen Type I Chiari patients and 18 age-, sex- and education-matched controls underwent resting-state functional MRI to measure functional connectivity. Participants also completed a neuropsychological battery and completed self-report measures of chronic pain. Group differences in functional connectivity were identified. Subsequently, pathways of significant difference were re-analyzed after controlling for the effects of attention performance and self-reported chronic pain. Chiari patients exhibited functional hypoconnectivity between areas of the cerebellum and cerebrum. Controlling for attention eliminated all deficits with the exception of that from the posterior cerebellar pathway. Similarly, controlling for pain also eliminated deficits except for those from the posterior cerebellar pathway and vermis VII. Patterns of Chiari hyperconnectivity were also found between regions of the cerebellum and cerebrum in Chiari patients. Hyperconnectivity in all regions was eliminated after controlling for attention except between left lobule VIII and the left postcentral gyrus and between vermis IX and the precuneus. Similarly, hyperconnectivity was eliminated after controlling for pain except between the default mode network and globus pallidus, left lobule VIII and the left postcentral gyrus, and Vermis IX and the precuneus. Evidence of both hyper- and hypoconnectivity were identified in Chiari, which is posited to support the hypothesis that the effect of increased pain in Chiari draws on neural resources, requiring an upregulation in inhibitory control mechanisms and resulting in cognitive dysfunction. Areas of hypoconnectivity in Chiari patients also suggest disruption in functional pathways, and potential mechanisms are discussed.
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Affiliation(s)
- Michelle L Houston
- Department of Psychology, The University of Akron, Akron, OH 44325, USA
- Department of Psychology, Middle Tennessee State University, Murfreesboro, TN 37132, USA
| | - James R Houston
- Department of Psychology, Middle Tennessee State University, Murfreesboro, TN 37132, USA
| | - Ken Sakaie
- Department of Diagnostic Radiology, The Cleveland Clinic, Cleveland, OH 44195, USA
| | - Petra M Klinge
- Department of Neurosurgery, Rhode Island Hospital, and Warren Alpert Medical School, Brown University, Providence, RI 02903, USA
| | - Sarel Vorster
- Department of Neurological Surgery, The Cleveland Clinic, Cleveland, OH 44195, USA
| | - Mark Luciano
- Department of Neurosurgery, Johns Hopkins Medical Center, Baltimore, MD 21224, USA
| | - Francis Loth
- Department of Biomedical Engineering, The University of Akron, Akron, OH 44325, USA
- Department of Mechanical Engineering, The University of Akron, Akron, OH 44325, USA
| | - Philip A Allen
- Department of Psychology, The University of Akron, Akron, OH 44325, USA
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10
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Increased peripheral inflammation in schizophrenia is associated with worse cognitive performance and related cortical thickness reductions. Eur Arch Psychiatry Clin Neurosci 2021; 271:595-607. [PMID: 33760971 DOI: 10.1007/s00406-021-01237-z] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Accepted: 02/03/2021] [Indexed: 12/16/2022]
Abstract
While the biological substrates of brain and behavioural changes in persons with schizophrenia remain unclear, increasing evidence implicates that inflammation is involved. In schizophrenia, including first-episode psychosis and anti-psychotic naïve patients, there are numerous reports of increased peripheral inflammation, cognitive deficits and neuropathologies such as cortical thinning. Research defining the relationship between inflammation and schizophrenia symptomatology and neuropathology is needed. Therefore, we analysed the level of C-reactive protein (CRP), a peripheral inflammation marker, and its relationship with cognitive functioning in a cohort of 644 controls and 499 schizophrenia patients. In a subset of individuals who underwent MRI scanning (99 controls and 194 schizophrenia cases), we tested if serum CRP was associated with cortical thickness. CRP was significantly increased in schizophrenia patients compared to controls, co-varying for age, sex, overweight/obesity and diabetes (p < 0.006E-10). In schizophrenia, increased CRP was mildly associated with worse performance in attention, controlling for age, sex and education (R =- 0.15, p = 0.001). Further, increased CRP was associated with reduced cortical thickness in three regions related to attention: the caudal middle frontal, the pars opercularis and the posterior cingulate cortices, which remained significant after controlling for multiple comparisons (all p < 0.05). Together, these findings indicate that increased peripheral inflammation is associated with deficits in cognitive function and brain structure in schizophrenia, especially reduced attention and reduced cortical thickness in associated brain regions. Using CRP as a biomarker of peripheral inflammation in persons with schizophrenia may help to identify vulnerable patients and those that may benefit from adjunctive anti-inflammatory treatments.
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11
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De la Torre GG, Doval S, López-Sanz D, García-Sedeño M, Ramallo MA, Bernal M, González-Torre S. Neurocognitive Impairment in Severe Mental Illness. Comparative study with Spanish Speaking Patients. Brain Sci 2021; 11:389. [PMID: 33808661 PMCID: PMC8003381 DOI: 10.3390/brainsci11030389] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Revised: 03/12/2021] [Accepted: 03/16/2021] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Serious mental illness (SMI) represents a category of psychiatric disorders characterized by specific difficulties of personal and social functioning, derived from suffering severe and persistent mental health problems. AIMS We wanted to look into differences in cognitive performance among different SMI patients. METHODS Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) screening was applied in one sample of SMI patients (n = 149) and another of healthy comparison participants (n = 35). Within the SMI sample, three different subsamples were formed: one with 97 patients with schizophrenia, a second with 29 patients with mood disorders, and a third with 23 patients with personality disorder. We performed a comparative study within and between groups. RESULTS Analysis of covariance was performed. Significant differences were found for cognitive functioning including attention and memory. CONCLUSIONS RBANS can be recommended for the detection of neurocognitive deficits in psychiatric disorders, especially in Schizophrenia.
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Affiliation(s)
- Gabriel G. De la Torre
- Neuropsychology and Experimental Psychology Lab, University of Cadiz, 11510 Puerto Real, Spain; (M.G.-S.); (M.A.R.); (S.G.-T.)
| | - Sandra Doval
- Center for Biomedical Technology, Technical University of Madrid, 28040 Madrid, Spain; (S.D.); (D.L.-S.)
- Department of Experimental Psychology, Complutense University of Madrid (UCM), 28223 Madrid, Spain
| | - David López-Sanz
- Center for Biomedical Technology, Technical University of Madrid, 28040 Madrid, Spain; (S.D.); (D.L.-S.)
- Department of Psychobiology and Methodology in Behavioral Sciences, Complutense University of Madrid (UCM), 28223 Madrid, Spain
| | - Manuel García-Sedeño
- Neuropsychology and Experimental Psychology Lab, University of Cadiz, 11510 Puerto Real, Spain; (M.G.-S.); (M.A.R.); (S.G.-T.)
| | - Miguel A. Ramallo
- Neuropsychology and Experimental Psychology Lab, University of Cadiz, 11510 Puerto Real, Spain; (M.G.-S.); (M.A.R.); (S.G.-T.)
| | | | - Sara González-Torre
- Neuropsychology and Experimental Psychology Lab, University of Cadiz, 11510 Puerto Real, Spain; (M.G.-S.); (M.A.R.); (S.G.-T.)
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12
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Zhao N, Shi D, Huang J, Chen Q, Wang Q. Comparing the Self-Reported Personality Disorder Traits and Childhood Traumatic Experiences Between Patients With Schizophrenia Vs. Major Depressive Disorder. Front Psychiatry 2021; 12:754174. [PMID: 34671281 PMCID: PMC8520909 DOI: 10.3389/fpsyt.2021.754174] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 09/06/2021] [Indexed: 11/13/2022] Open
Abstract
Introduction: Personality disorder (PD) and childhood traumatic experience (CTE) are well- recognized risk factors for the development of schizophrenia (SZ) and major depressive disorder (MDD). The relationship between CTE and PD is extremely close, and both conditions can affect subsequent psychiatric disorders. Little is known about the differences of these factors in patients with SZ and those with MDD. Materials and Methods: A total of 1,026 outpatients participated in the study, including 533 (51.9%) with SZ and 493 (48.1%) with MDD who were sequentially sampled. The PD traits were assessed using the Personality Diagnostic Questionnaire Fourth Edition Plus (PDQ-4+). The Child Trauma Questionnaire Short Form (CTQ-SF) was used to assess childhood adversities. The scores and associations of PDQ-4+ and CTQ-SF between patients with SZ and those with MDD were compared. Results: The MDD group exhibited more PD traits and more childhood emotional neglect than the SZ group. In patients with MDD, the correlation between PD traits and CTE was significantly higher than that in patients with SZ. Patients with SZ vs. those with MDD showed different PD traits and CTE. The schizotypal and antisocial PD traits, as well as sexual abuse and physical neglect CTE, were significantly related to SZ. In contrast, the borderline, narcissistic and avoidant PD traits, and emotional abuse/neglect CTE were significantly associated with MDD. Discussion: These findings indicated a robust relationship between CTE and PD traits. Moreover, patients with SZ or MDD, have different interactive patterns. Both CTE and PD traits have the potential to be premorbid risk factors that could be targeted for preventative interventions.
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Affiliation(s)
- Nan Zhao
- Shanghai Pudong New Area Mental Health Center, Tongji University School of Medicine, Shanghai, China
| | - Dianhong Shi
- Shanghai Pudong New Area Mental Health Center, Tongji University School of Medicine, Shanghai, China
| | - Juan Huang
- Shanghai Pudong New Area Mental Health Center, Tongji University School of Medicine, Shanghai, China
| | - Qiuying Chen
- Shanghai Pudong New Area Mental Health Center, Tongji University School of Medicine, Shanghai, China
| | - Qiang Wang
- Shanghai Pudong New Area Mental Health Center, Tongji University School of Medicine, Shanghai, China
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13
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Al-Sibani N, Al-Maqbali M, Mahadevan S, Al-Huseini S, Al-Muzeni M, Al-Adawi S. Psychiatric, cognitive functioning and socio-cultural views of menstrual psychosis in Oman: an idiographic approach. BMC Womens Health 2020; 20:215. [PMID: 32993616 PMCID: PMC7523046 DOI: 10.1186/s12905-020-01060-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Accepted: 08/30/2020] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Most documented cases of menstrual psychosis have been from Euro-American populations with reports from cross-cultural populations being only a few. A primary aim was to determine whether the cyclical/episodic nature of menstrual psychosis among case series observed at a tertiary care unit in Oman fulfills the diagnostic criteria of the International Classification of Diseases (ICD-10) and diverge into Brockington's sub-types (World Psychiatry. 2005;4(1):9-17). Related aims were to solicit measures of psychometric functioning of those with menstrual psychosis and associated idioms of distress. METHODS A series of consecutive patients seeking psychiatric consultation from January 2016 to December 2017 were screened via structured interview-Composite-International Diagnostic Interview (CIDI) and Brockington's sub-types. The identified patients (n = 4) also underwent psychometric evaluation including examination of affective functioning, intellectual capacity and neuropsychological functioning (i.e.attention and concentration, learning and remembering, executive function, processing speed and speech and language). The analysis of outcome measures was via an idiographic approach. RESULTS The spectrum of distress among people with menstrual psychosis does not fit existing psychiatric nosology. Evaluations revealed that a majority of the participants displayed something akin to morbid phenomena relating to manic and psychotic symptoms. In the parlance of traditional Omani society, this would be termed "spirit possession". In terms of classification by timing within the menstrual cycle as expounded by Brockington, the present case series in Oman fulfilled the definition of catamenial psychosis and paramenstrual psychosis. With regard to psychometric function, all participants performed adequately on indices of intellectual functioning but appeared to have impairments in neuropsychological functioning, including the dimensions of processing speed, episodic memory, and executive functioning. Within the given society, the periodicity of mind alteration has been attributed to spirit possession. CONCLUSIONS This is one of the first case series of its kind in the country elucidating whether the manifestation of menstrual psychosis among individuals in Oman fulfills the subtypes postulated by Brockington. The present case series suggests that menstrual psychosis is marked with neuropsychological impairments that were previously observed in other phasic manic episodes or brief psychotic disorders.
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Affiliation(s)
- Nasser Al-Sibani
- Department of Behavioral Medicine, College of Medicine & Health Sciences, Sultan Qaboos University, P.O. Box 35, P.C. 123, Al Khoudh, Muscat, Sultanate of Oman
| | - Mandhar Al-Maqbali
- Psychiatry Residency Training Program, Oman Medical Specialty Board, Muscat, Oman
| | - Sangeetha Mahadevan
- Department of Behavioral Medicine, College of Medicine & Health Sciences, Sultan Qaboos University, P.O. Box 35, P.C. 123, Al Khoudh, Muscat, Sultanate of Oman
| | - Salim Al-Huseini
- Psychiatry Residency Training Program, Oman Medical Specialty Board, Muscat, Oman
| | - Muna Al-Muzeni
- Psychiatry Residency Training Program, Oman Medical Specialty Board, Muscat, Oman
| | - Samir Al-Adawi
- Department of Behavioral Medicine, College of Medicine & Health Sciences, Sultan Qaboos University, P.O. Box 35, P.C. 123, Al Khoudh, Muscat, Sultanate of Oman
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14
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Kilciksiz CM, Keefe R, Benoit J, Öngür D, Torous J. Verbal memory measurement towards digital perspectives in first-episode psychosis: A review. Schizophr Res Cogn 2020; 21:100177. [PMID: 32322540 PMCID: PMC7163058 DOI: 10.1016/j.scog.2020.100177] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Revised: 03/20/2020] [Accepted: 03/21/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND Even in the early phases of psychotic spectrum illnesses such as schizophrenia, patients can experience cognitive decline or deficits prior to the onset of psychotic symptoms such as delusions and hallucinations. In this systematic review, we assessed which verbal memory assessments are most widely used in first-episode psychosis and may be applied via digital technologies (smartphone applications, etc.) for use in early detection. METHODS In November 2019, we searched for studies measuring verbal memory in first episode psychosis or schizophrenia over the past 10 years on PubMed and PsycINFO. We screened abstracts of these studies and excluded review studies. Full-texts of included studies were used to identify the verbal memory measurement tests, follow-up frequencies, and sample sizes. RESULTS We screened 233 reports and found that 120 original research studies measured verbal memory in first episode psychosis over the past 10 years. Four of these studies specified using a computer, 24 (20%) used a paper-pen format, 1(1%) used both, and 91 (76%) studies did not specify their administration tools or suggest there were offered in digital formats. Thirty-five (30%) studies had follow-up measurements of verbal memory, while 85 (70%) had only a single verbal memory measurement. DISCUSSION While many scales are commonly used to measure verbal memory in first episode psychosis, they are not often administered via digital technology. There is an emerging opportunity to administer these and other tests via digital technologies for expanding access to early detection of cognitive decline in clinical high risk and first-episode psychosis.
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Affiliation(s)
- Can Mişel Kilciksiz
- Digital Psychiatry Division, Psychosis Research Program, Beth Israel Deaconess Medical Center, Boston, MA, United States of America
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States of America
| | - Richard Keefe
- Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, United States of America
| | - James Benoit
- Digital Psychiatry Division, Psychosis Research Program, Beth Israel Deaconess Medical Center, Boston, MA, United States of America
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States of America
| | - Dost Öngür
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States of America
- Psychotic Disorders Division, McLean Hospital, Belmont, MA, United States of America
| | - John Torous
- Digital Psychiatry Division, Psychosis Research Program, Beth Israel Deaconess Medical Center, Boston, MA, United States of America
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States of America
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15
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Advancing study of cognitive impairments for antipsychotic-naïve psychosis comparing high-income versus low- and middle-income countries with a focus on urban China: Systematic review of cognition and study methodology. Schizophr Res 2020; 220:1-15. [PMID: 32269004 PMCID: PMC8985208 DOI: 10.1016/j.schres.2020.01.026] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Revised: 01/25/2020] [Accepted: 01/30/2020] [Indexed: 02/08/2023]
Abstract
BACKGROUND Comparing the course of antipsychotic-naïve psychosis in low- and middle-income countries (LMIC) may help to illuminate core pathophysiologies associated with this condition. Previous reviews-primarily from high-income countries (HIC)-identified cognitive deficits in antipsychotic-naïve, first-episode psychosis, but did not examine whether individuals with psychosis with longer duration of untreated psychosis (DUP > 5 years) were included, nor whether LMIC were broadly represented. METHOD A comprehensive search of PUBMED from January 2002-August 2018 identified 36 studies that compared cognitive functioning in antipsychotic-naïve individuals with psychosis (IWP) and healthy controls, 20 from HIC and 16 from LMIC. RESULTS A key gap was identified in that LMIC study samples were primarily shorter DUP (<5 years) and were primarily conducted in urban China. Most studies matched cases and controls for age and gender but only 9 (24%) had sufficient statistical power for cognitive comparisons. Compared with healthy controls, performance of antipsychotic-naïve IWP was significantly worse in 81.3% (230/283) of different tests of cognitive domains assessed (90.1% in LMIC [118/131] and 73.7% [112/152] in HIC). CONCLUSIONS Most LMIC studies of cognition in antipsychotic-naïve IWP adopted standardized procedures and, like HIC studies, found broad-based impairments in cognitive functioning. However, these LMIC studies were often underpowered and primarily included samples typical of HIC: primarily male, young-adult, high-school educated IWP, in their first episode of illness with relatively short DUP (<5 years). To enhance understanding of the long-term natural course of cognitive impairments in untreated psychosis, future studies from LMIC should recruit community-dwelling IWP from rural areas where DUP may be longer.
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16
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Raudeberg R, Iverson GL, Hammar Å. The importance of clinical normative data for conceptualizing neuropsychological deficits in people with schizophrenia spectrum disorders. APPLIED NEUROPSYCHOLOGY-ADULT 2019; 28:752-760. [PMID: 31841036 DOI: 10.1080/23279095.2019.1699098] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
OBJECTIVE To create clinical normative data tables for Norwegian patients with schizophrenia spectrum disorders, to examine whether clinical normative data from Norway differs from similar normative data from Canada and the U.S., and to illustrate the usefulness of such data. METHOD A nationally representative sample of 335 patients from psychiatric hospitals in Bergen, Norway was included. Inclusion criteria were 18-39 years of age, Norwegian as first language, and symptoms of schizophrenia, psychosis, or hallucinations. Comorbid substance abuse was recorded in 134 (40.0%). All completed the Norwegian version of the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). RESULTS The average scores of patients with schizophrenia spectrum disorders were approximately one to two standard deviations below the mean for healthy adults. There were no significant differences in scores between patients with or without comorbid substance abuse. Men had higher scores than women. Clinical normative reference value look-up tables were created. CONCLUSIONS Clinical normative values were very similar to values from Canada and the U.S. Clinical normative data, as a supplement to standard healthy normative data, can be used to describe patients' cognitive performance in terms of expectation for their peer group which can be useful for multidisciplinary treatment planning.
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Affiliation(s)
- Rune Raudeberg
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
| | - Grant L Iverson
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA, USA.,Spaulding Rehabilitation Hospital, Boston, MA, USA.,Home Base, A Red Sox Foundation and Massachusetts General Hospital Program, Boston, MA, USA
| | - Åsa Hammar
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway.,Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
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17
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Raudeberg R, L. Iverson G, Hammar Å. Norms matter: U.S. normative data under-estimate cognitive deficits in Norwegians with schizophrenia spectrum disorders. Clin Neuropsychol 2019; 33:58-74. [DOI: 10.1080/13854046.2019.1590641] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Affiliation(s)
- Rune Raudeberg
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
| | - Grant L. Iverson
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA, USA
- Spaulding Rehabilitation Hospital, Boston, MA, USA
- Home Base, A Red Sox Foundation and Massachusetts General Hospital Program, Boston, MA, USA
| | - Åsa Hammar
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
- eDivision of Psychiatry, Haukeland University Hospital, Bergen, Norway
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18
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Hwang WJ, Lee TY, Shin WG, Kim M, Kim J, Lee J, Kwon JS. Global and Specific Profiles of Executive Functioning in Prodromal and Early Psychosis. Front Psychiatry 2019; 10:356. [PMID: 31178768 PMCID: PMC6537881 DOI: 10.3389/fpsyt.2019.00356] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Accepted: 05/07/2019] [Indexed: 01/31/2023] Open
Abstract
Objective: Numerous reports on neurocognitive functioning deficits in individuals at clinical high risk (CHR) and first-episode psychosis (FEP) patients suggest particular deficits in executive functioning (EF). However, to date, most of the studies have administered a single or a few EF tests to participants, and few investigations have examined the different components of EF to identify specific subdomains of relative strength and weakness. Method: Forty CHR subjects, 85 FEP patients, and 85 healthy controls (HCs) were assessed with a neuropsychological battery to elucidate the profiles of EF in the subdomains of shift, attention, fluency, and planning. Results: In the subdomains of shift, attention, and fluency, CHR individuals and FEP patients showed deficits compared to HC. The post hoc analysis revealed that CHR individuals had comparable attention shifting and phonemic fluency compared to FEP. CHR showed intermediate deficits between FEP and HCs in spatial working memory and semantic fluency, and the largest effect size was observed in semantic fluency both for CHR and FEP. Conclusion: Overall, the findings of this study, in addition to providing detailed profiles of EF in prodromal and early psychosis patients, highlight the informative value of the specific subdomains of semantic fluency and spatial working memory.
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Affiliation(s)
- Wu Jeong Hwang
- Department of Brain and Cognitive Sciences, College of Natural Science, Seoul National University, Seoul, South Korea
| | - Tae Young Lee
- Department of Psychiatry, College of Medicine, Seoul National University, Seoul, South Korea
| | - Won-Gyo Shin
- Institute of Human Behavioral Medicine, SNU-MRC, Seoul, South Korea
| | - Minah Kim
- Department of Psychiatry, College of Medicine, Seoul National University, Seoul, South Korea.,Department of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea
| | - Jihyang Kim
- Department of Psychiatry, College of Medicine, Seoul National University, Seoul, South Korea
| | - Junhee Lee
- Department of Psychiatry, College of Medicine, Seoul National University, Seoul, South Korea.,Department of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea
| | - Jun Soo Kwon
- Department of Brain and Cognitive Sciences, College of Natural Science, Seoul National University, Seoul, South Korea.,Department of Psychiatry, College of Medicine, Seoul National University, Seoul, South Korea.,Department of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea.,Institute of Human Behavioral Medicine, SNU-MRC, Seoul, South Korea
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19
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Newton R, Rouleau A, Nylander AG, Loze JY, Resemann HK, Steeves S, Crespo-Facorro B. Diverse definitions of the early course of schizophrenia-a targeted literature review. NPJ SCHIZOPHRENIA 2018; 4:21. [PMID: 30323274 PMCID: PMC6189105 DOI: 10.1038/s41537-018-0063-7] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/27/2018] [Revised: 09/12/2018] [Accepted: 09/12/2018] [Indexed: 01/07/2023]
Abstract
Schizophrenia is a debilitating psychiatric disorder and patients experience significant comorbidity, especially cognitive and psychosocial deficits, already at the onset of disease. Previous research suggests that treatment during the earlier stages of disease reduces disease burden, and that a longer time of untreated psychosis has a negative impact on treatment outcomes. A targeted literature review was conducted to gain insight into the definitions currently used to describe patients with a recent diagnosis of schizophrenia in the early course of disease ('early' schizophrenia). A total of 483 relevant English-language publications of clinical guidelines and studies were identified for inclusion after searches of MEDLINE, MEDLINE In-Process, relevant clinical trial databases and Google for records published between January 2005 and October 2015. The extracted data revealed a wide variety of terminology and definitions used to describe patients with 'early' or 'recent-onset' schizophrenia, with no apparent consensus. The most commonly used criteria to define patients with early schizophrenia included experience of their first episode of schizophrenia or disease duration of less than 1, 2 or 5 years. These varied definitions likely result in substantial disparities of patient populations between studies and variable population heterogeneity. Better agreement on the definition of early schizophrenia could aid interpretation and comparison of studies in this patient population and consensus on definitions should allow for better identification and management of schizophrenia patients in the early course of their disease.
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Affiliation(s)
- Richard Newton
- Austin Health, University of Melbourne, Melbourne, VIC, Australia.,Peninsula Health, Frankston, VIC, Australia
| | | | | | | | | | | | - Benedicto Crespo-Facorro
- Department of Medicine & Psychiatry, University Hospital Marqués de Valdecilla, IDIVAL, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Santander, Spain
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A comparison of conversion rates, clinical profiles and predictors of outcomes in two independent samples of individuals at clinical high risk for psychosis in China. Schizophr Res 2018; 197:509-515. [PMID: 29287626 PMCID: PMC6019611 DOI: 10.1016/j.schres.2017.11.029] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2017] [Revised: 11/12/2017] [Accepted: 11/24/2017] [Indexed: 01/24/2023]
Abstract
OBJECTIVE In a previous epidemiological study, we reported on the ascertainment and outcomes of "clinical high risk" (CHR) individuals at the Shanghai Mental Health Center (SMHC, "2011 cohort"). The current study compares demographic and clinical characteristics, including conversion rates, of this sample with a subsequently recruited, independent CHR sample and with published data from western samples. METHOD A new sample of 100 CHR subjects ("2013 cohort") was selected based on screening and semi-structured interviews. Both studies used the Structured Interview for Prodromal Syndromes (SIPS) for CHR assessment and conducted a naturalistic two-year follow-up. The two cohorts were compared on conversion rates, demographic and clinical characteristics, psychosis risk symptoms, and risk factors for psychotic conversion. RESULTS Ninety one (91%) of the 2013 cohort subjects completed the clinical two-year follow-up and 25 (27.5% of the 91) converted to a psychotic disorder over the follow-up period. A comparison of conversions to full psychosis between the 2013 and the 2011 cohorts showed no significant difference in time to conversion (Pairwise comparison: χ2=0.3, p=0.562). Both cohort studies showed that CHR subjects with more severe clinical symptoms at baseline and decline in functioning were more likely to convert to psychosis. CONCLUSIONS Conversion rates in this new, independent Chinese sample are similar to those reported in non-Chinese samples and to the 2011 cohort. Future research is needed to examine whether the implementation of early intervention for CHR/prodromal symptoms reduces the risk of psychosis and decreases the conversion rate.
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21
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Interleukin-3, symptoms and cognitive deficits in first-episode drug-naïve and chronic medicated schizophrenia. Psychiatry Res 2018; 263:147-153. [PMID: 29554544 DOI: 10.1016/j.psychres.2018.02.054] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2017] [Revised: 11/30/2017] [Accepted: 02/27/2018] [Indexed: 12/31/2022]
Abstract
Previous studies consistently showed that IL-3 signaling may be involved in the pathophysiology of schizophrenia. However, investigations of associations between IL-3 and the neurocognitive impairments are lacking, including the study of how this may vary with stage of illness. We recruited 45 first-episode drug-naïve (FE-Sz), 35 chronic medicated schizophrenia (Ch-Sz) and 40 healthy controls (HC) and examined the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) and serum IL-3. Altered serum IL-3 levels were found in both patient groups compared with HC group (both p < 0.001). There were significantly lower neurocognitive scores on the RBANS and nearly all of its five subscales, except for Visuospatial/Constructional index in both FE-Sz and Ch-Sz patients vs healthy controls. Moreover, a significant reduction in Immediate memory index (p = 0.021) and a trend-level reduction in RBANS total score (p = 0.094) in Ch-Sz than FE-Sz patients. Interestingly, there was a significant negative correlation between IL-3 and the Immediate memory index only in Ch-Sz patients (p = 0.03). Our findings showed that neurocognitive impairments present in schizophrenia emerge during the first episode with further diminished functioning with disease progression, and IL-3 may be involved in the immediate memory deficits in the chronic phase of schizophrenia.
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Zhang T, Xu L, Cui H, Tang Y, Wei Y, Tang X, Liu X, Cao X, Li C, Wang J. Changes in correlation characteristics of time consumption and mind-reading performance in pre-onset and post-onset psychosis. Psychiatry Res 2018; 262:168-174. [PMID: 29453035 DOI: 10.1016/j.psychres.2018.02.008] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2017] [Revised: 11/10/2017] [Accepted: 02/02/2018] [Indexed: 10/18/2022]
Abstract
There is a strong correlation between neurocognition and social cognition. However, none of these studies have examined the key role of time consumption during social cognition tasks. Participants included 84 individuals with clinical high risk of psychosis (CHR), 95 healthy controls (HC), and 66 case controls (schizophrenia patients, SZ), who were assessed through the Reading-Mind-in-Eyes Tasks (RMET) with computerized recording of the response time (RT). Neurocognitive tests were also performed for the HC and CHR groups. A comparison of RMET performance revealed significantly lower scores in the SZ group compared to the HC group, with CHR individuals scoring between these two. However, both CHR and SZ subjects spent almost twice as long of the time on RMET compared to the HC subjects. Significant positive correlation was found between RMET accuracy and RT, though only in SZ patients. Taking the RT into consideration, the RMET performances were impacted by different neurocognition domains. Our findings provide new evidence about how time consumption in mind-reading may impact the relationship between social cognition and neurocognition, and we discuss the potential importance of recording the response time during social cognition assessment in individuals with early psychosis.
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Affiliation(s)
- TianHong Zhang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders (No.13dz2260500), Shanghai 200030, PR China
| | - LiHua Xu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders (No.13dz2260500), Shanghai 200030, PR China
| | - HuiRu Cui
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders (No.13dz2260500), Shanghai 200030, PR China
| | - YingYing Tang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders (No.13dz2260500), Shanghai 200030, PR China
| | - YanYan Wei
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders (No.13dz2260500), Shanghai 200030, PR China
| | - XiaoChen Tang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders (No.13dz2260500), Shanghai 200030, PR China
| | - XiaoHua Liu
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders (No.13dz2260500), Shanghai 200030, PR China
| | - XinMei Cao
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders (No.13dz2260500), Shanghai 200030, PR China.
| | - ChunBo Li
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders (No.13dz2260500), Shanghai 200030, PR China
| | - JiJun Wang
- Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders (No.13dz2260500), Shanghai 200030, PR China; CAS Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Science, PR China; Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai 200030, PR China.
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23
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From the psychosis prodrome to the first-episode of psychosis: No evidence of a cognitive decline. J Psychiatr Res 2018; 96:231-238. [PMID: 29121595 PMCID: PMC7663810 DOI: 10.1016/j.jpsychires.2017.10.014] [Citation(s) in RCA: 59] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Revised: 10/05/2017] [Accepted: 10/18/2017] [Indexed: 02/07/2023]
Abstract
Cognitive deficits have an important role in the neurodevelopment of schizophrenia and other psychotic disorders. However, there is a continuing debate as to whether cognitive impairments in the psychosis prodrome are stable predictors of eventual psychosis or undergo a decline due to the onset of psychosis. In the present study, to determine how cognition changes as illness emerges, we examined baseline neurocognitive performance in a large sample of helping-seeking youth ranging in clinical state from low-risk for psychosis through individuals at clinical high-risk (CHR) for illness to early first-episode patients (EFEP). At baseline, the MATRICS Cognitive Consensus battery was administered to 322 individuals (205 CHRs, 28 EFEPs, and 89 help-seeking controls, HSC) that were part of the larger Early Detection, Intervention and Prevention of Psychosis Program study. CHR individuals were further divided into those who did (CHR-T; n = 12, 6.8%) and did not (CHR-NT, n = 163) convert to psychosis over follow-up (Mean = 99.20 weeks, SD = 21.54). ANCOVAs revealed that there were significant overall group differences (CHR, EFEP, HSC) in processing speed, verbal learning, and overall neurocognition, relative to healthy controls (CNTL). In addition, the CHR-NTs performed similarly to the HSC group, with mild to moderate cognitive deficits relative to the CTRL group. The CHR-Ts mirrored the EFEP group, with large deficits in processing speed, working memory, attention/vigilance, and verbal learning (>1 SD below CNTLs). Interestingly, only verbal learning impairments predicted transition to psychosis, when adjusting for age, education, symptoms, antipsychotic medication, and neurocognitive performance in the other domains. Our findings suggest that large neurocognitive deficits are present prior to illness onset and represent vulnerability markers for psychosis. The results of this study further reinforce that verbal learning should be specifically targeted for preventive intervention for psychosis.
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24
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Neu P, Gooren T, Niebuhr U, Schlattmann P. Cognitive impairment in schizophrenia and depression: A comparison of stability and course. APPLIED NEUROPSYCHOLOGY-ADULT 2017; 26:215-228. [PMID: 29161150 DOI: 10.1080/23279095.2017.1392962] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Cognitive deficits are clinically relevant features in schizophrenia and depression, yet little comparative data on changes in both disorders is available. This study compares cognitive performance of inpatients with schizophrenia (N = 52) and unipolar major depression (N = 67) during psychiatric treatment, assessing performance twice: after admission to hospital (acute) and prior to discharge (postacute) on average seven weeks later. A group of healthy controls was tested at comparable intervals. Data was analyzed using a multivariate linear model. Patients with schizophrenia and depression showed significantly impaired performance compared to healthy controls. On follow-up both patient groups showed improved performance. Contrary to expectation, patients with schizophrenia showed greater improvement in verbal memory, visual memory, and psychomotor speed than depressive patients. Verbal fluency presented as a possible candidate to differentiate between both disorders. Similar profiles of generalized cognitive deficits were observed in both patient-groups on acute and postacute assessment, which might indicate trait-like deficits with persistent functional implications in both disorders. Findings do not support assumptions of greater cognitive impairment in schizophrenia compared to depression. A distinction of the disorders on the grounds of cognitive functioning seems to be less specific than presumed.
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Affiliation(s)
- Peter Neu
- a Clinic of Psychiatry and Psychotherapy , Charité - University Medicine Berlin , Berlin , Germany.,b Clinic of Psychiatry and Psychotherapy , Jewish Hospital , Berlin , Germany
| | - Tina Gooren
- a Clinic of Psychiatry and Psychotherapy , Charité - University Medicine Berlin , Berlin , Germany
| | - Ulrike Niebuhr
- c Clinic of Psychiatry and Psychotherapy , Vivantes Hospital Neukölln , Berlin , Germany
| | - Peter Schlattmann
- d Department of Medical Statistics, Computer Sciences and Documentation , Jena University Hospital , Jena , Germany
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Gkintoni E, Pallis EG, Bitsios P, Giakoumaki SG. Neurocognitive performance, psychopathology and social functioning in individuals at high risk for schizophrenia or psychotic bipolar disorder. J Affect Disord 2017; 208:512-520. [PMID: 27810272 DOI: 10.1016/j.jad.2016.10.032] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2016] [Revised: 09/05/2016] [Accepted: 10/22/2016] [Indexed: 11/26/2022]
Abstract
INTRODUCTION Although cognitive deficits are consistent endophenotypes of schizophrenia and bipolar disorder, findings in psychotic bipolar disorder (BDP) are inconsistent. In this study we compared adult unaffected first-degree relatives of schizophrenia and BDP patients on cognition, psychopathology, social functioning and quality of life. METHODS Sixty-six unaffected first-degree relatives of schizophrenia patients (SUnR), 36 unaffected first-degree relatives of BDP patients (BDPUnR) and 102 controls participated in the study. Between-group differences were examined and Discriminant Function Analysis (DFA) predicted group membership. RESULTS Visual memory, control inhibition, working memory, cognitive flexibility and abstract reasoning were linearly impaired in the relatives' groups. Poorer verbal fluency and processing speed were evident only in the SUnR group. The SUnR group had higher depressive and somatization symptoms while the BDPUnR group had higher anxiety and lower social functioning compared with the controls. Individuals with superior cognition were more likely to be classified as controls; those with higher social functioning, prolonged processing speed and lower anxiety were more likely to be classified as SUnR. LIMITATIONS The relatives' sample is quite heterogeneous; the effects of genetic or environmental risk-factors were not examined. CONCLUSIONS Cognitive functions mediated by a fronto-parietal network, show linear impairments in unaffected relatives of BDP and schizophrenia patients; processing speed and verbal fluency impairments were evident only in schizophrenia relatives. Self-perceived symptomatology and social functioning also differ between schizophrenia and BDP relatives. The continuum seen in patients in several indices was also seen in the cognitive impairments in unaffected relatives of schizophrenia and BDP patients.
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Affiliation(s)
- Evgenia Gkintoni
- Department of Psychology, Gallos University campus, University of Crete, Rethymno, Crete, Greece
| | - Eleftherios G Pallis
- Department of Medicine, School of Health Sciences, National and Kapodistrian University of Athens, Greece
| | - Panos Bitsios
- Department of Psychiatry & Behavioral Sciences, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece
| | - Stella G Giakoumaki
- Department of Psychology, Gallos University campus, University of Crete, Rethymno, Crete, Greece.
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Francesconi M, Minichino A, Carrión RE, Delle Chiaie R, Bevilacqua A, Parisi M, Rullo S, Bersani FS, Biondi M, Cadenhead K. Psychosis prediction in secondary mental health services. A broad, comprehensive approach to the "at risk mental state" syndrome. Eur Psychiatry 2016; 40:96-104. [PMID: 27992839 DOI: 10.1016/j.eurpsy.2016.09.002] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2016] [Revised: 09/01/2016] [Accepted: 09/02/2016] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Accuracy of risk algorithms for psychosis prediction in "at risk mental state" (ARMS) samples may differ according to the recruitment setting. Standardized criteria used to detect ARMS individuals may lack specificity if the recruitment setting is a secondary mental health service. The authors tested a modified strategy to predict psychosis conversion in this setting by using a systematic selection of trait-markers of the psychosis prodrome in a sample with a heterogeneous ARMS status. METHODS 138 non-psychotic outpatients (aged 17-31) were consecutively recruited in secondary mental health services and followed-up for up to 3 years (mean follow-up time, 2.2 years; SD=0.9). Baseline ARMS status, clinical, demographic, cognitive, and neurological soft signs measures were collected. Cox regression was used to derive a risk index. RESULTS 48% individuals met ARMS criteria (ARMS-Positive, ARMS+). Conversion rate to psychosis was 21% for the overall sample, 34% for ARMS+, and 9% for ARMS-Negative (ARMS-). The final predictor model with a positive predictive validity of 80% consisted of four variables: Disorder of Thought Content, visuospatial/constructional deficits, sensory-integration, and theory-of-mind abnormalities. Removing Disorder of Thought Content from the model only slightly modified the predictive accuracy (-6.2%), but increased the sensitivity (+9.5%). CONCLUSIONS These results suggest that in a secondary mental health setting the use of trait-markers of the psychosis prodrome may predict psychosis conversion with great accuracy despite the heterogeneity of the ARMS status. The use of the proposed predictive algorithm may enable a selective recruitment, potentially reducing duration of untreated psychosis and improving prognostic outcomes.
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Affiliation(s)
- M Francesconi
- Department of Neurology and Psychiatry, Sapienza University of Rome, Italy; Department of Psychiatry, UCSD, La Jolla, CA, United States
| | - A Minichino
- Department of Neurology and Psychiatry, Sapienza University of Rome, Italy; Department of Psychiatry, UCSD, La Jolla, CA, United States.
| | - R E Carrión
- Division of Psychiatry, Zucker Hillside Hospital, Long Island, NY, United States
| | - R Delle Chiaie
- Department of Neurology and Psychiatry, Sapienza University of Rome, Italy
| | - A Bevilacqua
- Research Center in Neurobiology, Daniel Bovet (CRiN), Rome, Italy; Department of Psychology, Section of Neuroscience, Sapienza University of Rome, Italy
| | - M Parisi
- Villa Armonia Nuova, Rome, Italy
| | - S Rullo
- Casa di Cura Villa Letizia, Rome, Italy
| | - F Saverio Bersani
- Department of Neurology and Psychiatry, Sapienza University of Rome, Italy
| | - M Biondi
- Department of Neurology and Psychiatry, Sapienza University of Rome, Italy
| | - K Cadenhead
- Department of Psychiatry, UCSD, La Jolla, CA, United States
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Correlation of social cognition and neurocognition on psychotic outcome: a naturalistic follow-up study of subjects with attenuated psychosis syndrome. Sci Rep 2016; 6:35017. [PMID: 27721394 PMCID: PMC5056353 DOI: 10.1038/srep35017] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2016] [Accepted: 09/22/2016] [Indexed: 11/17/2022] Open
Abstract
Neurocognitive decline has been observed in patients with psychosis as well as attenuated psychosis syndrome (APS). We tested the hypothesis that APS increases dependence on neurocognition during the interpretation of others’ mental states and that a combination index of Theory of Mind (ToM) and neurocognition improves the predictive accuracy of psychosis conversion. A sample of 83 APS individuals and 90 healthy controls (HC) were assessed by comprehensive cognitive tests. The cohort also completed a one-year follow-up. In the APS group, ToM was associated with an apparent increase in neurocognition, but this trend was not evident in the HC group. Using the new index of combined neurocognition and ToM scores, the sensitivity for predicting psychosis-proneness was 75% and the specificity was 69%. Our data suggest that the correlations between ToM function and neurocognition in APS subjects were stronger than those in healthy controls. A composite index of neurocognition and ToM could improve the predictive validity of a future conversion to psychosis.
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