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Panikratova YR, Lebedeva IS, Akhutina TV, Tikhonov DV, Kaleda VG, Vlasova RM. Executive control of language in schizophrenia patients with history of auditory verbal hallucinations: A neuropsychological and resting-state fMRI study. Schizophr Res 2023; 262:201-210. [PMID: 37923596 DOI: 10.1016/j.schres.2023.10.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 10/23/2023] [Accepted: 10/26/2023] [Indexed: 11/07/2023]
Abstract
BACKGROUND As demonstrated by a plethora of studies, compromised executive functions (EF) and language are implicated in mechanisms of auditory verbal hallucinations (AVH), but the contribution of their interaction to AVH remains unclear. We hypothesized that schizophrenia patients with history of AVH (AVHh+) vs. without history of AVH (AVHh-) have a specific deficit of executive control of language and alterations in functional connectivity (FC) between the brain regions involved in EF and language, and these neuropsychological and neurophysiological traits are associated with each other. METHODS To explore the executive control of language and its contribution to AVH, we used an integrative approach involving analysis of neuropsychological and resting-state fMRI data of 34 AVHh+, 16 AVHh-, and 40 healthy controls. We identified the neuropsychological and FC measures that differentiated between AVHh+, AVHh-, and HC, and tested the associations between them. RESULTS AVHh+ were characterized by decreased category and phonological verbal fluency, utterance length, productivity in the planning tasks, and poorer retelling. AVHh+ had decreased FC between the left inferior frontal gyrus and the anterior cingulate cortex. Productivity in category verbal fluency was associated with the FC between these regions. CONCLUSIONS Poor executive control of word retrieval and deficient programming of sentence and narrative related to more general deficits of planning may be the neuropsychological traits specific for AVHh+. A neurophysiological trait specific for AVHh+ may be a decreased FC between regions involved in language production and differentiation between alien- vs. self-generated speech and between language production vs. comprehension.
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Affiliation(s)
- Yana R Panikratova
- Laboratory of Neuroimaging and Multimodal Analysis, Mental Health Research Center, 115522, 34 Kashirskoye shosse, Moscow, Russia.
| | - Irina S Lebedeva
- Laboratory of Neuroimaging and Multimodal Analysis, Mental Health Research Center, 115522, 34 Kashirskoye shosse, Moscow, Russia
| | - Tatiana V Akhutina
- Laboratory of Neuropsychology, Faculty of Psychology, Lomonosov Moscow State University, 125009, 11/9 Mokhovaya street, Moscow, Russia
| | - Denis V Tikhonov
- Department of Youth Psychiatry, Mental Health Research Center, 115522, 34 Kashirskoye shosse, Moscow, Russia
| | - Vasilii G Kaleda
- Department of Youth Psychiatry, Mental Health Research Center, 115522, 34 Kashirskoye shosse, Moscow, Russia
| | - Roza M Vlasova
- Department of Psychiatry, University of North Carolina, 101 Manning Dr # 1, Chapel Hill, NC 27514, United States of America
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2
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Hrivikova K, Marko M, Karailievova L, Romanova Z, Oravcova H, Riecansky I, Jezova D. Neuroendocrine response to a psychosocial stress test is not related to schizotypy but cortisol elevation predicts inflexibility of semantic memory retrieval. Psychoneuroendocrinology 2023; 154:106287. [PMID: 37182519 DOI: 10.1016/j.psyneuen.2023.106287] [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: 12/16/2022] [Revised: 03/30/2023] [Accepted: 05/02/2023] [Indexed: 05/16/2023]
Abstract
An altered stress response can contribute to the transition from preclinical psychotic symptoms to the clinical manifestation of schizophrenia and other psychotic disorders. The present study was aimed at testing the hypotheses that (i) the autonomic and neuroendocrine responses under psychosocial stress are dysregulated in individuals with high psychosis proneness (schizotypy); (ii) the magnitude of post-stress autonomic activation and cortisol release predicts alterations in semantic memory retrieval. The study was performed in 73 healthy individuals of both sexes with either high or low schizotypal traits preselected out of 609 individuals using the Schizotypal Personality Questionnaire. A psychosocial stress procedure based on public speech was used as a stress model. We found that individuals with high schizotypy engaged in less adaptive emotional stress-coping strategies than low schizotypy individuals. Yet, the neuroendocrine, immune, and sympathetic activation in response to the stress test was not different between the groups. Irrespective of the exposure to the stressor, individuals with high schizotypy were less fluent when retrieving associations from semantic memory. In addition, we demonstrated that acute psychosocial stress reduced the flexibility of semantic memory retrieval. The post-stress mental inflexibility was reliably predicted by the concomitant elevation of cortisol concentrations in saliva. The present study thus brings novel evidence indicating that the acute psychosocial challenge impairs retrieval flexibility in the semantic domain, which may be due to neuroendocrine activation.
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Affiliation(s)
- K Hrivikova
- Laboratory of Pharmacological Neuroendocrinology, Institute of Experimental Endocrinology, Biomedical Research Center of the Slovak Academy of Sciences, Bratislava, Slovakia
| | - M Marko
- Department of Behavioural Neuroscience, Institute of Normal and Pathological Physiology, Centre of Experimental Medicine, Slovak Academy of Sciences, Bratislava, Slovakia; Department of Applied Informatics, Faculty of Mathematics, Physics and Informatics, Comenius University in Bratislava, Bratislava, Slovakia
| | - L Karailievova
- Laboratory of Pharmacological Neuroendocrinology, Institute of Experimental Endocrinology, Biomedical Research Center of the Slovak Academy of Sciences, Bratislava, Slovakia
| | - Z Romanova
- Laboratory of Pharmacological Neuroendocrinology, Institute of Experimental Endocrinology, Biomedical Research Center of the Slovak Academy of Sciences, Bratislava, Slovakia
| | - H Oravcova
- Laboratory of Pharmacological Neuroendocrinology, Institute of Experimental Endocrinology, Biomedical Research Center of the Slovak Academy of Sciences, Bratislava, Slovakia; Department of Pharmacology and toxicology, Faculty of Pharmacy, Comenius University in Bratislava, Bratislava, Slovakia
| | - I Riecansky
- Department of Behavioural Neuroscience, Institute of Normal and Pathological Physiology, Centre of Experimental Medicine, Slovak Academy of Sciences, Bratislava, Slovakia; Department of Psychiatry, Faculty of Medicine, Slovak Medical University in Bratislava, Bratislava, Slovakia.
| | - D Jezova
- Laboratory of Pharmacological Neuroendocrinology, Institute of Experimental Endocrinology, Biomedical Research Center of the Slovak Academy of Sciences, Bratislava, Slovakia.
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3
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Correa-Ghisays P, Vicent Sánchez-Ortí J, Balanzá-Martínez V, Fuentes-Durá I, Martinez-Aran A, Ruiz-Bolo L, Correa-Estrada P, Ruiz-Ruiz JC, Selva-Vera G, Vila-Francés J, Macias Saint-Gerons D, San-Martín C, Ayesa-Arriola R, Tabarés-Seisdedos R. MICEmi: A method to identify cognitive endophenotypes of mental illnesses. Eur Psychiatry 2022; 65:e85. [PMID: 36440538 PMCID: PMC9807453 DOI: 10.1192/j.eurpsy.2022.2348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Characterizing neurocognitive endophenotypes of mental illnesses (MIs) could be useful for identifying at-risk individuals, increasing early diagnosis, improving disease subtyping, and proposing therapeutic strategies to reduce the negative effects of the symptoms, in addition to serving as a scientific basis to unravel the physiopathology of the disease. However, a standardized algorithm to determine cognitive endophenotypes has not yet been developed. The main objective of this study was to present a method for the identification of endophenotypes in MI research. METHODS For this purpose, a 14-expert working group used a scoping review methodology and designed a method that includes a scoring template with five criteria and indicators, a strategy for their verification, and a decision tree. CONCLUSIONS This work is ongoing since it is necessary to obtain external validation of the applicability of the method in future research.
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Affiliation(s)
- Patricia Correa-Ghisays
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,Department of Personality, Evaluation and Psychological Treatment, Faculty of Psychology, University of Valencia, Valencia, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain
| | - Joan Vicent Sánchez-Ortí
- Department of Personality, Evaluation and Psychological Treatment, Faculty of Psychology, University of Valencia, Valencia, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain
| | - Vicent Balanzá-Martínez
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain.,Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Valencia, Spain
| | - Inmaculada Fuentes-Durá
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,Department of Personality, Evaluation and Psychological Treatment, Faculty of Psychology, University of Valencia, Valencia, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain
| | - Anabel Martinez-Aran
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,Bipolar Disorders Unit, Neurosciences Institute, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, Catalonia, Spain
| | - Lara Ruiz-Bolo
- Department of Personality, Evaluation and Psychological Treatment, Faculty of Psychology, University of Valencia, Valencia, Spain
| | | | - Juan Carlos Ruiz-Ruiz
- Department of Personality, Evaluation and Psychological Treatment, Faculty of Psychology, University of Valencia, Valencia, Spain
| | - Gabriel Selva-Vera
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain.,Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Valencia, Spain
| | - Joan Vila-Francés
- Intelligent Data Analysis Laboratory (IDAL), University of Valencia, Spain
| | - Diego Macias Saint-Gerons
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain
| | - Constanza San-Martín
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain.,Department of Physiotherapy, University of Valencia, Valencia, Spain
| | - Rosa Ayesa-Arriola
- Department of Psychiatry, Marqués de Valdecilla University Hospital, IDIVAL, School of Medicine, University of Cantabria, Santander, Spain
| | - Rafael Tabarés-Seisdedos
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain.,Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Valencia, Spain
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Parekh P, Bhalerao GV, Rao R, Sreeraj VS, Holla B, Saini J, Venkatasubramanian G, John JP, Jain S. Protocol for magnetic resonance imaging acquisition, quality assurance, and quality check for the Accelerator program for Discovery in Brain disorders using Stem cells. Int J Methods Psychiatr Res 2021; 30:e1871. [PMID: 33960571 PMCID: PMC8412227 DOI: 10.1002/mpr.1871] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 01/08/2021] [Accepted: 03/10/2021] [Indexed: 11/09/2022] Open
Abstract
OBJECTIVE The Accelerator program for Discovery in Brain disorders using Stem cells (ADBS) is a longitudinal study on five cohorts of patients with major psychiatric disorders from genetically high-risk families, their unaffected first-degree relatives, and healthy subjects. We describe the ADBS protocols for acquisition, quality assurance (QA), and quality check (QC) for multimodal magnetic resonance brain imaging studies. METHODS We describe the acquisition and QC protocols for structural, functional, and diffusion images. For QA, we acquire proton density and functional images on phantoms, along with repeated scans on human volunteer. We describe the analysis of phantom data and test-retest reliability of volumetric and diffusion measures. RESULTS Analysis of acquired phantom data shows linearity of proton density signal with increasing proton fraction, and an overall stability of various spatial and temporal QA measures. Examination of dice coefficient and statistical analyses of coefficient of variation in test-retest data on the human volunteer showed consistency of volumetric and diffusivity measures at whole-brain, regional, and voxel-level. CONCLUSION The described acquisition and QA-QC procedures can yield consistent and reliable quantitative measures. It is expected that this longitudinal neuroimaging dataset will, upon its release, serve the scientific community well and pave the way for interesting discoveries.
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Affiliation(s)
- Pravesh Parekh
- ADBS Neuroimaging CentreNational Institute of Mental Health and NeurosciencesBangaloreIndia
- Multimodal Brain Image Analysis LaboratoryNational Institute of Mental Health and NeurosciencesBangaloreIndia
- Department of PsychiatryNational Institute of Mental Health and NeurosciencesBangaloreIndia
| | - Gaurav V. Bhalerao
- ADBS Neuroimaging CentreNational Institute of Mental Health and NeurosciencesBangaloreIndia
- Department of PsychiatryNational Institute of Mental Health and NeurosciencesBangaloreIndia
- Translational Psychiatry LabNational Institute of Mental Health and NeurosciencesBangaloreIndia
| | - Rashmi Rao
- ADBS Neuroimaging CentreNational Institute of Mental Health and NeurosciencesBangaloreIndia
| | - Vanteemar S. Sreeraj
- ADBS Neuroimaging CentreNational Institute of Mental Health and NeurosciencesBangaloreIndia
- Department of PsychiatryNational Institute of Mental Health and NeurosciencesBangaloreIndia
- Translational Psychiatry LabNational Institute of Mental Health and NeurosciencesBangaloreIndia
| | - Bharath Holla
- ADBS Neuroimaging CentreNational Institute of Mental Health and NeurosciencesBangaloreIndia
- Department of PsychiatryNational Institute of Mental Health and NeurosciencesBangaloreIndia
| | - Jitender Saini
- Department of Neuroimaging and Interventional RadiologyNational Institute of Mental Health and NeurosciencesBangaloreIndia
| | - Ganesan Venkatasubramanian
- ADBS Neuroimaging CentreNational Institute of Mental Health and NeurosciencesBangaloreIndia
- Department of PsychiatryNational Institute of Mental Health and NeurosciencesBangaloreIndia
- Translational Psychiatry LabNational Institute of Mental Health and NeurosciencesBangaloreIndia
| | - John P. John
- ADBS Neuroimaging CentreNational Institute of Mental Health and NeurosciencesBangaloreIndia
- Multimodal Brain Image Analysis LaboratoryNational Institute of Mental Health and NeurosciencesBangaloreIndia
- Department of PsychiatryNational Institute of Mental Health and NeurosciencesBangaloreIndia
| | - Sanjeev Jain
- Department of PsychiatryNational Institute of Mental Health and NeurosciencesBangaloreIndia
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5
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Coulibaly SDP, Ba B, Mounkoro PP, Diakite B, Kassogue Y, Maiga M, Dara AE, Traoré J, Kamaté Z, Traoré K, Koné M, Maiga B, Diarra Z, Coulibaly S, Togora A, Maiga Y, Koumaré B. Descriptive study of cases of schizophrenia in the Malian population. BMC Psychiatry 2021; 21:413. [PMID: 34416862 PMCID: PMC8377978 DOI: 10.1186/s12888-021-03422-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2021] [Accepted: 08/10/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Schizophrenia is a relatively common disease worldwide with a point prevalence of around 5/1000 in the population. The aim of this present work was to assess the demographic, clinical, familial, and environmental factors associated with schizophrenia in Mali. METHODS This was a prospective descriptive study on a series of 164 patients aged at least 12 years who came for a follow-up consultation at the psychiatry department of the University Hospital Center (CHU) Point G in Mali between February 2019 and January 2020 for schizophrenia spectrum disorder as defined by DSM-5 diagnostic criteria. RESULTS Our results revealed that the male sex was predominant (80.5%). The 25-34 age group was more represented with 44.5%. The place of birth for the majority of our patients was the urban area (52.4%), which also represented the place of the first year of life for the majority of our patients (56.1%). We noted that the unemployed and single people accounted for 56.1 and 61% respectively. More than half of our patients 58.5% reported having reached secondary school level. With the exception of education level, there was a statistically significant difference in the distribution of demographic parameters. Familial schizophrenia cases accounted for 51.7% versus 49.3% for non-familial cases. The different clinical forms were represented by the paranoid form, followed by the undifferentiated form, and the hebephrenic form with respectively 34, 28 and 17.1%. We noted that almost half (48.8%) of patients were born during the cold season. Cannabis use history was not observed in 68.7% of the patients. The proportions of patients with an out-of-school father or an out-of-school mother were 51.2 and 64.2%, respectively. CONCLUSION The onset of schizophrenia in the Malian population has been associated with socio-demographic, clinical, genetic and environmental characteristics.
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Affiliation(s)
- Souleymane dit Papa Coulibaly
- Faculty of Medicine and Odontostomatology, University of Sciences, Techniques and Technologies of Bamako (USTTB), 1805, Point G, Bamako, Mali
- University Teaching Hospital Point G, Bamako, Mali
| | - Baba Ba
- University Teaching Hospital Point G, Bamako, Mali
| | - Pakuy Pierre Mounkoro
- Faculty of Medicine and Odontostomatology, University of Sciences, Techniques and Technologies of Bamako (USTTB), 1805, Point G, Bamako, Mali
- University Teaching Hospital Point G, Bamako, Mali
| | - Brehima Diakite
- Faculty of Medicine and Odontostomatology, University of Sciences, Techniques and Technologies of Bamako (USTTB), 1805, Point G, Bamako, Mali
- University Teaching Hospital Point G, Bamako, Mali
| | - Yaya Kassogue
- Faculty of Medicine and Odontostomatology, University of Sciences, Techniques and Technologies of Bamako (USTTB), 1805, Point G, Bamako, Mali
- University Teaching Hospital Point G, Bamako, Mali
| | - Mamoudou Maiga
- Faculty of Medicine and Odontostomatology, University of Sciences, Techniques and Technologies of Bamako (USTTB), 1805, Point G, Bamako, Mali
- Institute for Global Health, Northwestern University, Chicago, IL60611 USA
| | | | | | - Zoua Kamaté
- University Teaching Hospital Point G, Bamako, Mali
| | | | | | | | | | - Souleymane Coulibaly
- Faculty of Medicine and Odontostomatology, University of Sciences, Techniques and Technologies of Bamako (USTTB), 1805, Point G, Bamako, Mali
- University Teaching Hospital Point G, Bamako, Mali
| | - Arouna Togora
- Faculty of Medicine and Odontostomatology, University of Sciences, Techniques and Technologies of Bamako (USTTB), 1805, Point G, Bamako, Mali
- University Teaching Hospital Point G, Bamako, Mali
| | - Youssoufa Maiga
- Faculty of Medicine and Odontostomatology, University of Sciences, Techniques and Technologies of Bamako (USTTB), 1805, Point G, Bamako, Mali
- University Teaching Hospital Gabriel Toure, Bamako, Mali
| | - Baba Koumaré
- Faculty of Medicine and Odontostomatology, University of Sciences, Techniques and Technologies of Bamako (USTTB), 1805, Point G, Bamako, Mali
- University Teaching Hospital Point G, Bamako, Mali
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6
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Türközer HB, Ivleva EI, Palka J, Clementz BA, Shafee R, Pearlson GD, Sweeney JA, Keshavan MS, Gershon ES, Tamminga CA. Biomarker Profiles in Psychosis Risk Groups Within Unaffected Relatives Based on Familiality and Age. Schizophr Bull 2021; 47:1058-1067. [PMID: 33693883 PMCID: PMC8266584 DOI: 10.1093/schbul/sbab013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Investigating biomarkers in unaffected relatives (UR) of individuals with psychotic disorders has already proven productive in research on psychosis neurobiology. However, there is considerable heterogeneity among UR based on features linked to psychosis vulnerability. Here, using the Bipolar-Schizophrenia Network for Intermediate Phenotypes (B-SNIP) dataset, we examined cognitive and neurophysiologic biomarkers in first-degree UR of psychosis probands, stratified by 2 widely used risk factors: familiality status of the respective proband (the presence or absence of a first- or second-degree relative with a history of psychotic disorder) and age (within or older than the common age range for developing psychosis). We investigated biomarkers that best differentiate the above specific risk subgroups. Additionally, we examined the relationship of biomarkers with Polygenic Risk Scores for Schizophrenia (PRSSCZ) in a subsample of Caucasian probands and healthy controls (HC). Our results demonstrate that the Brief Assessment of Cognition in Schizophrenia (BACS) score, antisaccade error (ASE) factor, and stop-signal task (SST) factor best differentiate UR (n = 169) from HC (n = 137) (P = .013). Biomarker profiles of UR of familial (n = 82) and non-familial (n = 83) probands were not significantly different. Furthermore, ASE and SST factors best differentiated younger UR (age ≤ 30) (n = 59) from older UR (n = 110) and HC from both age groups (age ≤ 30 years, n=49; age > 30 years, n = 88) (P < .001). In addition, BACS (r = -0.175, P = .006) and ASE factor (r = 0.188, P = .006) showed associations with PRSSCZ. Taken together, our findings indicate that cognitive biomarkers-"top-down inhibition" impairments in particular-may be of critical importance as indicators of psychosis vulnerability.
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Affiliation(s)
- Halide Bilge Türközer
- Department of Psychiatry, the University of Texas Southwestern Medical Center, Dallas, TX
| | - Elena I Ivleva
- Department of Psychiatry, the University of Texas Southwestern Medical Center, Dallas, TX
| | - Jayme Palka
- Department of Psychiatry, the University of Texas Southwestern Medical Center, Dallas, TX
| | - Brett A Clementz
- Department of Psychology and Neuroscience, Bio-Imaging Research Center, University of Georgia, Athens, GA
| | - Rebecca Shafee
- Department of Genetics, Harvard Medical School, Boston, MA
| | - Godfrey D Pearlson
- Olin Neuropsychiatry Research Center, Institute of Living at Hartford Hospital, Hartford, CT
- Departments of Psychiatry and Neuroscience, Yale University, New Haven, CT
| | - John A Sweeney
- Department of Psychiatry, the University of Texas Southwestern Medical Center, Dallas, TX
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH
| | - Matcheri S Keshavan
- Department of Psychiatry and Cognitive Neurology, Beth Israel Deaconess Medical Center, Boston, MA
- Harvard Medical School, Boston, MA
| | - Elliot S Gershon
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL
| | - Carol A Tamminga
- Department of Psychiatry, the University of Texas Southwestern Medical Center, Dallas, TX
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7
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Liu N, Zhou H, Xiong X, Li Q, Jiang X, Zhao J, Yang X, Zhang M, Wang X, Wang G, Yang F, Hu J, Zhang X, Du L, Li H, Feng B, Hu Z, Chen Z, Wang C, Wang X, Zhang J, Liu T, Jia F, Sun X, Xu X, Meng H, Wang G, Zhang N, Mei Q, Tan Q, Peng C, Li J, Lu Z. Clinical characteristics of familial schizophrenia. Asia Pac Psychiatry 2021; 13:e12422. [PMID: 33053613 DOI: 10.1111/appy.12422] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Accepted: 06/15/2020] [Indexed: 02/05/2023]
Abstract
INTRODUCTION A family history of psychiatric disorders is one of the strongest risk factors for schizophrenia. The characteristics of patients with a family history of psychiatric disorders have not been systematically evaluated. METHODS This multicenter study (26 centers, 2425 cases) was performed in a Chinese population to examine the sociodemographic and clinical characteristics of schizophrenia patients with a family history of psychotic disorders in comparison with those of patients with sporadic schizophrenia. RESULTS Nineteen percent of patients had a family history of mental disease. Multiple logistic regression analysis revealed that ≥4 hospitalizations (OR = 1.78, P = .004), tobacco dependence (OR = 1.48, P = .006), alcohol dependence (OR = 1.74, P = .013), and physical illness (OR = 1.89, P = .001) were independently and significantly associated with a family history of mental disease. CONCLUSION Patients with a family history of mental disorders present different demographics and clinical features than patients without a family history of psychiatric disorders.
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Affiliation(s)
- Na Liu
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Department of Psychiatry, Shanghai Tongji Hospital of Tongji University, Shanghai, China
| | - Hui Zhou
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiangyu Xiong
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qingwei Li
- Department of Psychiatry, Shanghai Tongji Hospital of Tongji University, Shanghai, China
| | - Xuefeng Jiang
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jingping Zhao
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China
| | - Xiaoxin Yang
- Editorial Office, Chinese Journal of Psychiatry, Beijing, China
| | - Mingyuan Zhang
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiangqun Wang
- Beijing Mental Health Institute, Peking University, Beijing, China
| | - Gang Wang
- Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Fude Yang
- Beijing HuiLongGuan Hospital, Peking University, Beijing, China
| | - Jian Hu
- Department of Psychiatry, The First Affiliated Hospital of Harbin Medical Universtiy, Harbin, China
| | - Xinjun Zhang
- Department of Psychiatry, Tianjing Anding Hospital, Tianjin, China
| | - Lingyang Du
- Department of Psychiatry, Xiaoshan Hospital of Zhejiang Province, Hangzhou, China
| | - Huichun Li
- Department of Psychiatry, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Bing Feng
- Department of Psychiatry, Tongde Hospital of Zhejiang Province, Hangzhou, China
| | - Zhenyu Hu
- Department of Psychiatry, Ningbo Kangning Hospital, Ningbo, China
| | - Zuoming Chen
- Department of Psychiatry, The Second Affiliated Hospital of Xinxiang Medical College, Xinxiang, China
| | - Chunxia Wang
- Department of Psychiatry, Qingdao Mental Health Center, Qingdao Seventh People's Hospital, Qingdao, China
| | - Xilin Wang
- Department of Psychiatry, Guangzhou Psychiatric Hospital, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jinbei Zhang
- The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Tiebang Liu
- Department of Psychiatry, Shenzhen Kangning Hospital, Shenzhen, China
| | - Fujun Jia
- Department of Psychiatry, Guangdong Mental Health Centre, Guangzhou Medical University, Foshan, China
| | - Xueli Sun
- Department of Psychiatry, West China Hospital, Sichuan University, Chengdu, China
| | - Xiufeng Xu
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Huaqing Meng
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Gaohua Wang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Ning Zhang
- Department of Clinical Psychology, Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Qiyi Mei
- Department of Psychiatry, Suzhou Guangji Hospital, Suzhou, China
| | - Qingrong Tan
- Department of Psychiatry, Xijing Hospital, Xi'an, China
| | - Chunqing Peng
- Department of Psychiatry, The First Affiliated Hospital of University of South China, Hengyang, China
| | - Jing Li
- Department of Psychiatry, Xiangya Hospital Central South University, Changsha, China
| | - Zheng Lu
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Department of Psychiatry, Shanghai Tongji Hospital of Tongji University, Shanghai, China
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8
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Tan EJ, Neill E, Tomlinson K, Rossell SL. Semantic Memory Impairment Across the Schizophrenia Continuum: A Meta-Analysis of Category Fluency Performance. ACTA ACUST UNITED AC 2020. [DOI: 10.1093/schizbullopen/sgaa054] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Abstract
Semantic memory (SM) impairments are a core feature of schizophrenia and are present along the psychosis continuum. It is, however, unclear whether the degree of SM impairments vary along this continuum and if demographic and clinical factors affect impairment severity. This study performed meta-analyses of category fluency task performance (a task commonly used to assess SM) in 4 groups along the schizophrenia continuum: high schizotypes (HSZT), first-degree relatives (FDR), recent-onset patients (≤2 y; ROP) and chronic patients (CSZ). Electronic databases were searched for relevant studies published up to October 2019 resulting in the inclusion of 48 articles. The main analyses assessed fluency productivity scores in 2978 schizophrenia spectrum disorder patients, 340 first-degree relatives of schizophrenia spectrum disorder patients, and 3204 healthy controls. Further analyses assessed errors, mean cluster size, and switching data that were available in the CSZ group only. Results revealed significant impairments in fluency productivity were present in the FDR, ROP, and CSZ groups relative to healthy controls, but not in HSZT. In the CSZ group, significant differences relative to healthy controls were also observed in non-perseverative errors, mean cluster size, and number of switches. The findings collectively suggest that SM deficits are present at each stage of the continuum and are exacerbated post-illness onset. They also support the centrality of SM impairments in schizophrenia and most elevated risk groups. Future studies with more diverse measures of SM function are needed to replicate and extend this research.
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Affiliation(s)
- Eric Josiah Tan
- Centre for Mental Health, Swinburne University of Technology, Melbourne, Australia
- Department of Psychiatry, St Vincent’s Hospital, Melbourne, Australia
| | - Erica Neill
- Centre for Mental Health, Swinburne University of Technology, Melbourne, Australia
- Department of Psychiatry, St Vincent’s Hospital, Melbourne, Australia
- Department of Psychiatry, The University of Melbourne, Melbourne, Australia
| | - Kiandra Tomlinson
- Centre for Mental Health, Swinburne University of Technology, Melbourne, Australia
| | - Susan Lee Rossell
- Centre for Mental Health, Swinburne University of Technology, Melbourne, Australia
- Department of Psychiatry, St Vincent’s Hospital, Melbourne, Australia
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9
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Zhang H, Wang Y, Hu Y, Zhu Y, Zhang T, Wang J, Ma K, Shi C, Yu X, Li C. Meta-analysis of cognitive function in Chinese first-episode schizophrenia: MATRICS Consensus Cognitive Battery (MCCB) profile of impairment. Gen Psychiatr 2019; 32:e100043. [PMID: 31423473 PMCID: PMC6677937 DOI: 10.1136/gpsych-2018-100043] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Revised: 05/02/2019] [Accepted: 05/17/2019] [Indexed: 01/10/2023] Open
Abstract
Background Compromised neurocognition is a core feature of schizophrenia. With increasing studies researching cognitive function of Chinese patients with first-episode schizophrenia (FES) using MATRICS Consensus Cognitive Battery (MCCB), it is not clear about the level and pattern of cognitive impairment among this population. Aim To provide a meta-analysis systematically analysing studies of neurocognitive function using MCCB in Chinese patients with FES. Methods An independent literature search of both Chinese and English databases up to 13 March 2019 was conducted by two reviewers. Standardised mean difference (SMD) was calculated using the random effects model to evaluate the effect size. Results 56 studies (FES=3167, healthy controls (HC)=3017) were included and analysed. No study was rated as 'high quality' according to Strengthening the Reporting of Observational Studies in Epidemiology. Compared with HCs, Chinese patients with FES showed impairment with large effect size in overall cognition (SMD=-1.60, 95% CI -1.82 to -1.38, I 2=67%) and all seven cognitive domains, with the SMD ranging from -0.87 to -1.41. In nine MCCB subtests, patients with FES showed significant difference in Symbol Coding (SMD=-1.90), Trail Making Test (TMT) (SMD=-1.36), Continuous Performance Test-Identical Pairs (SMD=-1.33), Hopkins Verbal Learning Test (SMD=-1.24), Brief Visuospatial Memory Test (SMD=-1.18), Mazes (SMD=-1.16), Category Fluency (SMD=-1.01), Spatial Span (SMD=-0.69) and Mayer-Salovey-Caruso Emotional Intelligence Test (SMD=-0.38). Conclusions Our meta-analysis demonstrates that Chinese patients with FES show neurocognitive deficits across all seven MCCB cognitive domains and all nine subtests, particularly in two neurocognitive domains: speed of processing and attention/vigilance, with the least impairment shown in social cognition. Symbol Coding and TMT may be the most sensitive tests to detect cognitive deficit in Chinese patients with FES.
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Affiliation(s)
- Huijuan Zhang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yao Wang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuliang Hu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yikang Zhu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tianhong Zhang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jijun Wang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ke Ma
- Peking University Institute of Mental Health, Sixth Hospital, Beijing, China.,National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, China.,Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China
| | - Chuan Shi
- Peking University Institute of Mental Health, Sixth Hospital, Beijing, China.,National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, China.,Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China
| | - Xin Yu
- Peking University Institute of Mental Health, Sixth Hospital, Beijing, China.,National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing, China.,Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China
| | - Chunbo Li
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai, China
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10
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Shi C, Kang L, Yao S, Ma Y, Li T, Liang Y, Cheng Z, Xu Y, Shi J, Xu X, Zhang C, Franklin DR, Heaton RK, Jin H, Yu X. What is the optimal neuropsychological test battery for schizophrenia in China? Schizophr Res 2019; 208:317-323. [PMID: 30718121 PMCID: PMC6544499 DOI: 10.1016/j.schres.2019.01.034] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2018] [Revised: 01/22/2019] [Accepted: 01/26/2019] [Indexed: 01/10/2023]
Abstract
BACKGROUND The MATRICS consensus cognitive battery (MCCB) has been widely used to evaluate cognitive deficits in schizophrenia (SCZ), however, no study has formally examined the validity of the MCCB in Chinese SCZ. This study compared Chinese SCZ patients with healthy Chinese controls on the MCCB and some additional neurocognitive tests to determine if the Chinese MCCB is an optimal battery to assess the cognitive deficits in Chinese SCZ patients. METHOD The study enrolled and examined 230 patients met DSM-IV criteria for SCZ and 656 healthy controls matched for gender, age and education. Besides the MCCB, we also included some additional neurocognitive tests that have been widely used in patients with schizophrenia. We selected MCCB and non-MCCB tests with large effect size, to assemble a new "optimal battery" and compared its performance with that of the standard MCCB. RESULTS Comparing the putative "optimal" battery with the original MCCB, more patients with SCZ were identified as cognitively impaired according to the criteria of GDS ≥ 0.50 for the optimal battery (166 vs 135, or 72.2% vs 58.7%). The rate of cognitive impairment according to MCCB GDS in patients with SCZ who were currently working, ever worked and never worked are 45.5%, 61.6% and 70.8% (p = 0.051), whereas the optimal battery GDS showed 56.4%, 74.8%, 91.7% (p = 0.003), respectively. CONCLUSIONS Our study needs validation with independent samples but suggests that the current "optimal" cognitive battery could be more sensitive than the widely used MCCB in detecting SCZ related cognitive impairment in China.
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Affiliation(s)
- Chuan Shi
- Peking University Sixth Hospital, Beijing, China,Peking University Institute of Mental Health, Beijing, China,NHC Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China,The National Clinical Research Center for Mental Health Disorders (Peking University Sixth Hospital), Beijing, China
| | - Lan Kang
- Peking University Sixth Hospital, Beijing, China,Peking University Institute of Mental Health, Beijing, China,NHC Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China,The National Clinical Research Center for Mental Health Disorders (Peking University Sixth Hospital), Beijing, China
| | - Shuqiao Yao
- The Medical Psychological Research Center, Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yibin Ma
- Peking University Sixth Hospital, Beijing, China,Peking University Institute of Mental Health, Beijing, China,NHC Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China,The National Clinical Research Center for Mental Health Disorders (Peking University Sixth Hospital), Beijing, China
| | - Tao Li
- Peking University Sixth Hospital, Beijing, China,Peking University Institute of Mental Health, Beijing, China,NHC Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China,The National Clinical Research Center for Mental Health Disorders (Peking University Sixth Hospital), Beijing, China
| | - Ying Liang
- Peking University Sixth Hospital, Beijing, China,Peking University Institute of Mental Health, Beijing, China,NHC Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China,The National Clinical Research Center for Mental Health Disorders (Peking University Sixth Hospital), Beijing, China
| | - Zhang Cheng
- Peking University Sixth Hospital, Beijing, China,Peking University Institute of Mental Health, Beijing, China,NHC Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China,The National Clinical Research Center for Mental Health Disorders (Peking University Sixth Hospital), Beijing, China
| | - Yifeng Xu
- Division of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jianguo Shi
- Xian Mental Health Center, New Qujiang District, Xian, Shanxi, China
| | - Xiufeng Xu
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Congpei Zhang
- The First Haerbin Psychiatric Hospital, Haerbin, Heilongjiang, China
| | - Donald R. Franklin
- Department of Psychiatry, University of California at San Diego, San Diego, CA, USA
| | - Robert K. Heaton
- Department of Psychiatry, University of California at San Diego, San Diego, CA, USA
| | - Hua Jin
- Department of Psychiatry, University of California at San Diego, San Diego, CA, USA.
| | - Xin Yu
- Peking University Sixth Hospital, Beijing, China; Peking University Institute of Mental Health, Beijing, China; NHC Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China; The National Clinical Research Center for Mental Health Disorders (Peking University Sixth Hospital), Beijing, China.
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11
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Grover S, Sahoo S, Nehra R. A comparative study of childhood/adolescent and adult onset schizophrenia: does the neurocognitive and psychosocial outcome differ? Asian J Psychiatr 2019; 43:160-169. [PMID: 31176081 DOI: 10.1016/j.ajp.2019.05.031] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2019] [Revised: 04/21/2019] [Accepted: 05/17/2019] [Indexed: 01/31/2023]
Abstract
AIMS & OBJECTIVES The present study aimed to evaluate the neurocognitive functioning and psychosocial outcome (in terms of social functioning, disability and internalized stigma) in patients with schizophrenia with childhood/adolescent onset (age of onset ≤18 years) and adult onset (>18years) schizophrenia and to evaluate the effect of neurocognitive impairment on the outcome variables in patients with youth and adult onset schizophrenia. METHODOLOGY 34 patients with youth onset schizophrenia (Group-I) and 56 patients with adult onset schizophrenia (Group-II), who were currently in clinical remission were assessed on a comprehensive neurocognitive battery,Positive and Negative syndrome Scale (PANSS), Global Assessment of Functioning Scale (GAF), Indian Disability Evaluation and Assessment Scale (IDEAS),Social and Occupational Functioning Assessment Scale (SOFS) and Internalised Stigma of Mental Illness Scale (ISMIS). RESULTS On neurocognitive domains (after adjusting for co-variates) significant differences were noted between the two groups in terms of processing speed (TMT-A; I > II; p-value -0.009), verbal fluency (COWA;I < II;p-value-0.001) and cognitive flexibility (TMT-B; I > II; p -0.031). Compared to patients with adult onset schizophrenia, patients with childhood & adolescent onset schizophrenia had significantly higher PANSS negative score, higher disability in all domains of IDEAS, poorer socio-occupational functioning, low global functioning and reported more stigma in the domains of alienation and discrimination.In patients with childhood & adolescent onset schizophrenia, higher deficits in the processing speed and verbal fluency were associated with significantly lower socio-occupational functioning and higher disability; higher executive dysfunction was associated with higher internalized stigma. Among patients with adult onset schizophrenia, higher disability was related to executive dysfunction only and higher stigma was associated with poor cognitive processing, selective attention and poor executive functioning. CONCLUSIONS The present study suggests that compared to adult onset schizophrenia, patients with childhood & adolescent onset schizophrenia have more deficits in neurocognition, have higher level of disability, poorer socio-occupational functioning and have higher level of self-stigma.
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Affiliation(s)
- Sandeep Grover
- Department of Psychiatry, PGIMER, 160012, Chandigarh, India.
| | | | - Ritu Nehra
- Department of Psychiatry, PGIMER, 160012, Chandigarh, India
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12
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Zouraraki C, Karagiannopoulou L, Karamaouna P, Pallis EG, Giakoumaki SG. Schizotypal traits, neurocognition, and paternal age in unaffected first degree relatives of patients with familial or sporadic schizophrenia. Psychiatry Res 2019; 273:422-429. [PMID: 30684787 DOI: 10.1016/j.psychres.2018.12.142] [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: 08/15/2018] [Revised: 12/27/2018] [Accepted: 12/28/2018] [Indexed: 10/27/2022]
Abstract
Studies comparing cognitive processes between familial and sporadic schizophrenia have yielded inconsistent findings. In this study we examined differences in neurocognition and schizotypal traits in unaffected relatives of schizophrenia-spectrum patients with either the familial (multiplex) or the sporadic (simplex) subtype of the disorder, taking paternal age at birth into consideration. Simplex (n = 65; SR), multiplex (n = 35; MR) relatives and controls (n = 114) were compared on several cognitive functions and schizotypal traits; between-group differences were evaluated with and without including paternal age in the analyses. SR and MR had higher negative and paranoid traits compared with controls, but paternal age abolished the differences between the SR and control groups. When taking into account schizotypal traits and participants' age, controls outperformed MR in strategy formation and set-shifting and SR in psychomotor speed, set-shifting and executive working memory. After including paternal age in the analyses, controls outperformed MR in strategy formation, working memory and executive working memory and both groups in psychomotor speed and set-shifting. These findings suggest that multiplex relatives present with a "riskier" personality and cognitive profile when considering the effects of paternal age. Nevertheless, simplex relatives are impaired in fundamental cognitive processes, thus highlighting the detrimental effects of paternal age on neurocognition.
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Affiliation(s)
- Chrysoula Zouraraki
- Department of Psychology, Faculty of Social Sciences, University of Crete, Rethymno 74100, Crete, Greece.
| | - Leda Karagiannopoulou
- Department of Psychology, Faculty of Social Sciences, University of Crete, Rethymno 74100, Crete, Greece
| | - Penny Karamaouna
- Department of Psychology, Faculty of Social Sciences, University of Crete, Rethymno 74100, Crete, Greece
| | - Eleftherios G Pallis
- Department of Medicine, School of Health Sciences, National and Kapodistrian University of Athens, Athens 11527, Greece
| | - Stella G Giakoumaki
- Department of Psychology, Faculty of Social Sciences, University of Crete, Rethymno 74100, Crete, Greece
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13
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Analysis of voxel-mirrored homotopic connectivity in medication-free, current major depressive disorder. J Affect Disord 2018; 240:171-176. [PMID: 30075387 DOI: 10.1016/j.jad.2018.07.037] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2017] [Revised: 06/01/2018] [Accepted: 07/14/2018] [Indexed: 02/05/2023]
Abstract
BACKGROUND Recent neuroimaging studies suggest that abnormal function connectivity exists in patients with major depressive disorder (MDD). The aim of this study was to further analyze the underlying neural mechanism of MDD and explore whether clinical characteristics are correlated with the alerted homotopic connectivity in patients with MDD. METHODS Using voxel-mirrored homotopic connectivity (VMHC) during resting state, we compared 80 medication-free patients having current episodes of MDD and 124 never-depressed healthy controls (HCs) matched for age and gender. RESULTS We found decreased VMHC in patients with MDD in bilateral posterior cingulate cortex (PCC) extending to precuneus (Pre) compared with the HCs, which provided strong support for the potential role of PCC/Pre in recognizing interhemispheric connectivity deficits of MDD. Negative correlation between illness course and VMHC in PCC was observed as well. LIMITATIONS First, we just compared the functional connectivity at a rest state but not under a specific task. Second, we did not mitigate the delayed effect on the measurable alterations in homotopic brain activity. Third, we did not make a longitudinal comparison after patients receiving therapeutic drugs. CONCLUSIONS These findings that linking illness course with functional brain changes in depression help us understand the neural architecture of MDD.
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14
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Zhang Z, Zhang R, Qin P, Tan L. Cognitive dysfunction and negative symptoms in patients with schizophrenia and their first-degree relatives from simplex and multiplex families. Neuropsychiatr Dis Treat 2018; 14:3339-3348. [PMID: 30584307 PMCID: PMC6287416 DOI: 10.2147/ndt.s179534] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
PURPOSE This study aimed to investigate cognitive functioning, negative symptoms, and the relationships in schizophrenia (SP) pedigrees and to explore the effect of genetic loading on those endophenotypes. PATIENTS AND METHODS Forty-four patients with SP, 81 first-degree non-psychotic relatives of patients from simplex and multiplex families, 14 matched control probands, and 29 first-degree relatives of the patients from communities were assessed by the vocabulary subtest (VS) of Wechsler Adult Intelligence Scale, memory span subtests of the Multiple Memory Assessment Scale (MMAS), Wisconsin Card Sorting Test (WCST), Continuous Performance Test (CPT), and Negative Scale of Positive and Negative Syndrome Scale. RESULTS Compared with controls, patients with SP and their relatives had worse performances in WCST and CPT, and more serious negative symptoms. Patients from multiple families performed poorly on most tests while patients from simplex families had impairments only on the parameters of CPT and WSCT as compared to control probands. Patients from multiple families differed significantly from the patients from simplex families in the digit span and word span of MMAS. After controlling for education, in comparison with relatives of control probands, relatives from multiple families showed impairments in VS, multiple domains of CPT, whereas relatives from simplex families had lower scores on the VS and more total cards and random errors in WSCT. The performances of most tests were linked to negative symptoms in patients with SP. For patients with SP, VS, correct numbers and categories in the WCST, and visual and acoustic errors in the CPT predicted 68.8% of the variability in negative symptoms. CONCLUSION Our findings support that cognitive deficits and negative symptoms may be markers of hereditary susceptibility of SP and aggravate as the degree of genetic load increases. There are certain relationships between cognitive deficits and negative symptoms in patients with SP.
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Affiliation(s)
- Zhikun Zhang
- Mental Health Center, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Rong Zhang
- Department of Psychiatry, Staff Hospital of Zhongyuan Oil Field Company, Puyang, Henan, China
| | - Peng Qin
- Department of Psychiatry, Changde Rehabilitation Hospital, Changde, Hunan, China
| | - Liwen Tan
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China,
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