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Gifford G, Cullen AE, Vieira S, Searle A, McCutcheon RA, Modinos G, Stone WS, Hird E, Barnett J, van Hell HH, Catalan A, Millgate E, Taptiklis N, Cormack F, Slot ME, Dazzan P, Maat A, de Haan L, Facorro BC, Glenthøj B, Lawrie SM, McDonald C, Gruber O, van Amelsvoort T, Arango C, Kircher T, Nelson B, Galderisi S, Bressan RA, Kwon JS, Weiser M, Mizrahi R, Sachs G, Kirschner M, Reichenberg A, Kahn R, McGuire P. PsyCog: A computerised mini battery for assessing cognition in psychosis. Schizophr Res Cogn 2024; 37:100310. [PMID: 38572271 PMCID: PMC10987298 DOI: 10.1016/j.scog.2024.100310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Revised: 03/20/2024] [Accepted: 03/23/2024] [Indexed: 04/05/2024]
Abstract
Despite the functional impact of cognitive deficit in people with psychosis, objective cognitive assessment is not typically part of routine clinical care. This is partly due to the length of traditional assessments and the need for a highly trained administrator. Brief, automated computerised assessments could help to address this issue. We present data from an evaluation of PsyCog, a computerised, non-verbal, mini battery of cognitive tests. Healthy Control (HC) (N = 135), Clinical High Risk (CHR) (N = 233), and First Episode Psychosis (FEP) (N = 301) participants from a multi-centre prospective study were assessed at baseline, 6 months, and 12 months. PsyCog was used to assess cognitive performance at baseline and at up to two follow-up timepoints. Mean total testing time was 35.95 min (SD = 2.87). Relative to HCs, effect sizes of performance impairments were medium to large in FEP patients (composite score G = 1.21, subtest range = 0.52-0.88) and small to medium in CHR patients (composite score G = 0.59, subtest range = 0.18-0.49). Site effects were minimal, and test-retest reliability of the PsyCog composite was good (ICC = 0.82-0.89), though some practice effects and differences in data completion between groups were found. The present implementation of PsyCog shows it to be a useful tool for assessing cognitive function in people with psychosis. Computerised cognitive assessments have the potential to facilitate the evaluation of cognition in psychosis in both research and in clinical care, though caution should still be taken in terms of implementation and study design.
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Affiliation(s)
| | - Alexis E. Cullen
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, KCL, London, UK
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Sweden
| | - Sandra Vieira
- Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | | | | | - Gemma Modinos
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, KCL, London, UK
| | - William S. Stone
- Harvard Medical School Department of Psychiatry at the Beth Israel Deaconess Medical Center and the Massachusetts Mental Health Center, United States of America
| | - Emily Hird
- Institute of Cognitive Neuroscience, UCL, London, UK
| | - Jennifer Barnett
- Cambridge Cognition Ltd, Cambridge, UK
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Hendrika H. van Hell
- University Medical Center, Division of Neurosciences, Department of Psychiatry, Heidelberglaan 100, 3584 CX Utrecht, the Netherlands
| | - Ana Catalan
- Basurto University Hospital, Bilbo, Bizkaia, Spain
| | | | | | | | - Margot E. Slot
- University Medical Center, Division of Neurosciences, Department of Psychiatry, Heidelberglaan 100, 3584 CX Utrecht, the Netherlands
| | - Paola Dazzan
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, KCL, London, UK
| | - Arija Maat
- University Medical Center, Division of Neurosciences, Department of Psychiatry, Heidelberglaan 100, 3584 CX Utrecht, the Netherlands
| | - Lieuwe de Haan
- Amsterdam UMC, University of Amsterdam, Psychiatry, Department Early Psychosis, Meibergdreef 9, Amsterdam, the Netherlands
| | - Benedicto Crespo Facorro
- CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Sevilla, Spain
- University Hospital Virgen del Rocio, IBIS-CSIC, Department of Psychiatry, School of Medicine, University of Sevilla, Sevilla, Spain
| | - Birte Glenthøj
- Centre for Neuropsychiatric Schizophrenia Research (CNSR), Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS), Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark
- University of Copenhagen, Faculty of Health and Medical Sciences, Dept. of Clinical Medicine, Copenhagen, Denmark
| | - Stephen M. Lawrie
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
| | - Colm McDonald
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Galway Neuroscience Centre, University of Galway, H91 TK33 Galway, Ireland
| | - Oliver Gruber
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - Thérèse van Amelsvoort
- Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, the Netherlands
| | - Celso Arango
- Servicio de Psiquiatría del Niño y del Adolescente, Hospital General Universitario Gregorio Marañon, Universidad Complutense Madrid, Spain, Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain
| | - Tilo Kircher
- Dept of Psychiatry, University of Marburg, Rudolf-Bultmann-Straße 8, D-35039 Marburg, Germany
| | - Barnaby Nelson
- Orygen, 35 Poplar Road, Parkville, Victoria, Melbourne, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Silvana Galderisi
- Department of Mental and Physical Health and Preventive Medicine, University of Campania Luigi Vanvitelli, Largo Madonna delle Grazie, 80138 Naples, Italy
| | - Rodrigo A. Bressan
- Department of Psychiatry, Interdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal de Sao Paulo (UNIFESP), Sao Paulo, Brazil
| | - Jun Soo Kwon
- Department of Psychiatry, Seoul National University College of Medicine, 101 Dahakno, Jongno-gu, Seoul, Republic of Korea
| | - Mark Weiser
- Department of Psychiatry, Sheba Medical Center, Tel Hashomer 52621, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Romina Mizrahi
- Department of Psychiatry, McGill University, Montreal, Canada
| | - Gabriele Sachs
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria
| | - Matthias Kirschner
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Switzerland
- Division of Adult Psychiatry, Department of Psychiatry, University Hospitals of Geneva, Switzerland
| | - Abraham Reichenberg
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1230, New York, NY 10029-6574, United States of America
| | - PSYSCAN Consortium
- University of Oxford, Oxford, UK
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, KCL, London, UK
- Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Sweden
- Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- Cambridge Cognition Ltd, Cambridge, UK
- Oxford Health NHS Foundation Trust, Oxford, UK
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, KCL, London, UK
- Harvard Medical School Department of Psychiatry at the Beth Israel Deaconess Medical Center and the Massachusetts Mental Health Center, United States of America
- Institute of Cognitive Neuroscience, UCL, London, UK
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- University Medical Center, Division of Neurosciences, Department of Psychiatry, Heidelberglaan 100, 3584 CX Utrecht, the Netherlands
- Basurto University Hospital, Bilbo, Bizkaia, Spain
- Amsterdam UMC, University of Amsterdam, Psychiatry, Department Early Psychosis, Meibergdreef 9, Amsterdam, the Netherlands
- CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Sevilla, Spain
- University Hospital Virgen del Rocio, IBIS-CSIC, Department of Psychiatry, School of Medicine, University of Sevilla, Sevilla, Spain
- Centre for Neuropsychiatric Schizophrenia Research (CNSR), Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS), Mental Health Centre Glostrup, University of Copenhagen, Glostrup, Denmark
- University of Copenhagen, Faculty of Health and Medical Sciences, Dept. of Clinical Medicine, Copenhagen, Denmark
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Galway Neuroscience Centre, University of Galway, H91 TK33 Galway, Ireland
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
- Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, the Netherlands
- Servicio de Psiquiatría del Niño y del Adolescente, Hospital General Universitario Gregorio Marañon, Universidad Complutense Madrid, Spain, Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain
- Dept of Psychiatry, University of Marburg, Rudolf-Bultmann-Straße 8, D-35039 Marburg, Germany
- Orygen, 35 Poplar Road, Parkville, Victoria, Melbourne, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
- Department of Mental and Physical Health and Preventive Medicine, University of Campania Luigi Vanvitelli, Largo Madonna delle Grazie, 80138 Naples, Italy
- Department of Psychiatry, Interdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal de Sao Paulo (UNIFESP), Sao Paulo, Brazil
- Department of Psychiatry, Seoul National University College of Medicine, 101 Dahakno, Jongno-gu, Seoul, Republic of Korea
- Department of Psychiatry, Sheba Medical Center, Tel Hashomer 52621, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
- Department of Psychiatry, McGill University, Montreal, Canada
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Switzerland
- Division of Adult Psychiatry, Department of Psychiatry, University Hospitals of Geneva, Switzerland
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1230, New York, NY 10029-6574, United States of America
| | - René Kahn
- University Medical Center, Division of Neurosciences, Department of Psychiatry, Heidelberglaan 100, 3584 CX Utrecht, the Netherlands
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1230, New York, NY 10029-6574, United States of America
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Yan H, Zhang Y, Shan X, Li H, Liu F, Xie G, Li P, Guo W. Altered interhemispheric functional connectivity in patients with obsessive-compulsive disorder and its potential in therapeutic response prediction. J Neurosci Res 2024; 102. [PMID: 38284840 DOI: 10.1002/jnr.25272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Revised: 10/23/2023] [Accepted: 10/25/2023] [Indexed: 01/30/2024]
Abstract
The trajectory of voxel-mirrored homotopic connectivity (VMHC) after medical treatment in obsessive-compulsive disorder (OCD) and its value in prediction of treatment response remains unclear. This study aimed to investigate the pathophysiological mechanism of OCD, as well as biomarkers for prediction of pharmacological efficacy. Medication-free patients with OCD and healthy controls (HCs) underwent magnetic resonance imaging. The patients were scanned again after a 4-week treatment with paroxetine. The acquired data were subjected to VMHC, support vector regression (SVR), and correlation analyses. Compared with HCs (36 subjects), patients with OCD (34 subjects after excluding two subjects with excessive head movement) exhibited significantly lower VMHC in the bilateral superior parietal lobule (SPL), postcentral gyrus, and calcarine cortex, and VMHC in the postcentral gyrus was positively correlated with cognitive function. After treatment, the patients showed increased VMHC in the bilateral posterior cingulate cortex/precuneus (PCC/PCu) with the improvement of symptoms. SVR results showed that VMHC in the postcentral gyrus at baseline could aid to predict a change in the scores of OCD scales. This study revealed that SPL, postcentral gyrus, and calcarine cortex participate in the pathophysiological mechanism of OCD while PCC/PCu participate in the pharmacological mechanism. VMHC in the postcentral gyrus is a potential predictive biomarker of the treatment effects in OCD.
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Affiliation(s)
- Haohao Yan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Yingying Zhang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Xiaoxiao Shan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Huabing Li
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Feng Liu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Guojun Xie
- Department of Psychiatry, The Third People's Hospital of Foshan, Foshan, China
| | - Ping Li
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, China
| | - Wenbin Guo
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
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Yan H, Han Y, Shan X, Li H, Liu F, Xie G, Li P, Guo W. Altered resting-state cerebellar-cerebral functional connectivity in patients with panic disorder before and after treatment. Neuropharmacology 2023; 240:109692. [PMID: 37652260 DOI: 10.1016/j.neuropharm.2023.109692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 08/23/2023] [Accepted: 08/26/2023] [Indexed: 09/02/2023]
Abstract
The study aimed to investigate the functional connectivity (FC) between the cerebellum and intrinsic cerebral networks in patients with panic disorder (PD), and to observe changes in the cerebellar-cerebral FC following pharmacotherapy. Fifty-four patients with PD and 54 healthy controls (HCs) underwent clinical assessments and functional magnetic resonance imaging scans before and after a 5-week paroxetine treatment. Seed-based cerebellar-cerebral FC was compared between the PD and HC groups, as well as between patients with PD before and after treatment. Additionally, the correlations between FC and clinical features of PD were analyzed. Compared to HCs, patients with PD had altered cerebellar-cerebral FC in the default mode, affective-limbic, and sensorimotor networks. Moreover, a negative correlation between cerebellar-insula disconnection and the severity of depressive symptoms in patients with PD (Pearson correlation, r = -0.424, p = 0.001, Bonferroni corrected) was found. After treatment, most of the enhanced FCs observed in patients with PD at baseline returned to levels similar to those observed in HCs. However, the reduced FC at baseline did not significantly change after treatment. The findings suggest that patients with PD have specific deficits in resting-state cerebellar-cerebral FC and that paroxetine may improve PD by restoring the balance of cerebellar-cerebral FC. These findings emphasize the crucial involvement of cerebellar-cerebral FC in the neuropsychological mechanisms underlying PD and in the potential pharmacological mechanisms of paroxetine for treating PD.
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Affiliation(s)
- Haohao Yan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Yiding Han
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Xiaoxiao Shan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Huabing Li
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China
| | - Feng Liu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Guojun Xie
- Department of Psychiatry, The Third People's Hospital of Foshan, Foshan, 528000, Guangdong, China
| | - Ping Li
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, Heilongjiang, 161006, China
| | - Wenbin Guo
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China.
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Yan H, Han Y, Shan X, Li H, Liu F, Li P, Zhao J, Guo W. Breaking the Fear Barrier: Aberrant Activity of Fear Networks as a Prognostic Biomarker in Patients with Panic Disorder Normalized by Pharmacotherapy. Biomedicines 2023; 11:2420. [PMID: 37760861 PMCID: PMC10525800 DOI: 10.3390/biomedicines11092420] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 08/23/2023] [Accepted: 08/26/2023] [Indexed: 09/29/2023] Open
Abstract
Panic disorder (PD) is a prevalent type of anxiety disorder. Previous studies have reported abnormal brain activity in the fear network of patients with PD. Nonetheless, it remains uncertain whether pharmacotherapy can effectively normalize these abnormalities. This longitudinal resting-state functional magnetic resonance imaging study aimed to investigate the spontaneous neural activity in patients with PD and its changes after pharmacotherapy, with a focus on determining whether it could predict treatment response. The study included 54 drug-naive patients with PD and 54 healthy controls (HCs). Spontaneous neural activity was measured using regional homogeneity (ReHo). Additionally, support vector regression (SVR) was employed to predict treatment response from ReHo. At baseline, PD patients had aberrant ReHo in the fear network compared to HCs. After 4 weeks of paroxetine treatment (20 mg/day), a significant increase in ReHo was observed in the left fusiform gyrus, which had shown reduced ReHo before treatment. The SVR analysis showed significantly positive correlations (p < 0.0001) between the predicted and actual reduction rates of the severity of anxiety and depressive symptoms. Here, we show patients with PD had abnormal spontaneous neural activities in the fear networks. Furthermore, these abnormal spontaneous neural activities can be partially normalized by pharmacotherapy and serve as candidate predictors of treatment response. Gaining insight into the trajectories of brain activity normalization following treatment holds the potential to provide vital insights for managing PD.
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Affiliation(s)
- Haohao Yan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (H.Y.); (Y.H.); (X.S.); (J.Z.)
| | - Yiding Han
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (H.Y.); (Y.H.); (X.S.); (J.Z.)
| | - Xiaoxiao Shan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (H.Y.); (Y.H.); (X.S.); (J.Z.)
| | - Huabing Li
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha 410011, China;
| | - Feng Liu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China;
| | - Ping Li
- Department of Psychiatry, Qiqihar Medical University, Qiqihar 161006, China;
| | - Jingping Zhao
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (H.Y.); (Y.H.); (X.S.); (J.Z.)
| | - Wenbin Guo
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, China; (H.Y.); (Y.H.); (X.S.); (J.Z.)
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Han Y, Yan H, Shan X, Li H, Liu F, Xie G, Li P, Guo W. Can the aberrant occipital-cerebellum network be a predictor of treatment in panic disorder? J Affect Disord 2023; 331:207-216. [PMID: 36965626 DOI: 10.1016/j.jad.2023.03.065] [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: 11/16/2022] [Revised: 03/15/2023] [Accepted: 03/18/2023] [Indexed: 03/27/2023]
Abstract
BACKGROUND This study aimed to detect altered brain activation pattern of patients with panic disorder (PD) and its changes after treatment. The possibilities of diagnosis and prediction of treatment response based on the aberrant brain activity were tested. METHODS Fifty-four PD patients and 54 healthy controls (HCs) were recruited. Clinical assessment and resting-state functional magnetic resonance imaging scans were conducted. Then, patients received a 4-week paroxetine treatment and underwent a second clinical assessment and scan. The fractional amplitude of low-frequency fluctuations (fALFF) was measured. Support vector machine (SVM) and support vector regression (SVR) analyses were conducted. RESULTS Lower fALFF values in the right calcarine/lingual gyrus and left lingual gyrus/cerebellum IV/V, whereas higher fALFF values in right cerebellum Crus II were observed in patients related to HCs at baseline. After treatment, patients with PD exhibited significant clinical improvement, and the abnormal lower fALFF values in the right lingual gyrus exhibited a great increase. The abnormal fALFF at pretreatment can distinguish patients from HCs with 80 % accuracy and predict treatment response which was reflected in the significant correlation between the predicted and actual treatment responses. LIMITATIONS The impacts of ethnic, cultural, and other regional differences on PD were not considered for it was a single-center study. CONCLUSIONS The occipital-cerebellum network played an important role in the pathophysiology of PD and should be a part of the fear network. The abnormal fALFF values in patients with PD at pretreatment could serve as biomarkers of PD and predict the early treatment response of paroxetine.
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Affiliation(s)
- Yiding Han
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Haohao Yan
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Xiaoxiao Shan
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Huabing Li
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Feng Liu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Guojun Xie
- Department of Psychiatry, The Third People's Hospital of Foshan, Foshan 528000, Guangdong, China
| | - Ping Li
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, Heilongjiang 161006, China
| | - Wenbin Guo
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
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Ince Guliyev E, Guloksuz S, Ucok A. Impaired Effort Allocation in Patients with Recent-Onset Schizophrenia and Its Relevance to Negative Symptoms Assessments and Persistent Negative Symptoms. J Clin Med 2022; 11:jcm11175060. [PMID: 36078990 PMCID: PMC9457458 DOI: 10.3390/jcm11175060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 08/24/2022] [Accepted: 08/27/2022] [Indexed: 11/16/2022] Open
Abstract
(1) Background: Our aims in this study were (i) to compare effort allocation capacity measured between patients with recent-onset schizophrenia (SCZ) and healthy controls (HCs), (ii) within the SCZ, to investigate the association of effort allocation capacity with negative symptoms (NS), and (iii) to compare this association with the type of NS scale used. (2) Methods: Thirty-one patients with SCZ and 30 HCs participated in the study. The NS was examined using an older-generation (Scale for the Assessment of Negative Symptoms, SANS), a newer-generation (Brief Negative Symptoms Scale, BNSS), and a self-rated (Self-evaluation of Negative Symptoms Scale, SNS) negative symptom scale, as well as longitudinally by using persistent NS (PNS) distinction. (3) Results: The SCZ group was less willing to expend effort in high/moderate-probability and -magnitude conditions but more in low-probability and -magnitude conditions. A general reduction in effort allocation capacity was also present. Patients with PNS were less likely to choose hard tasks than non-PNS patients. Clinician-rated scales correlated with 50% probability and moderate-reward-magnitude conditions. Correlations with the SNS were minimal. (4) Conclusions: Our findings suggest that patients with SCZ may show a general reduction in effort allocation capacity and make inefficient choices, although they are not totally reward-insensitive. The effects of NS on effort expenditure can be more pronounced when the rewarding stimulus is vague.
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Affiliation(s)
- Ezgi Ince Guliyev
- Department of Psychiatry, Erenkoy Training and Research Hospital for Mental and Neurological Diseases, University of Health Sciences, Istanbul 34736, Turkey
- Correspondence:
| | - Sinan Guloksuz
- Department of Psychiatry and Neuropsychology, Maastricht University Medical Centre, 6202 Maastricht, The Netherlands
- Department of Psychiatry, Yale School of Medicine, New Haven, CT 06510, USA
| | - Alp Ucok
- Department of Psychiatry, Faculty of Medicine, Istanbul University, Istanbul 34093, Turkey
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Yan H, Shan X, Li H, Liu F, Guo W. Abnormal spontaneous neural activity in hippocampal-cortical system of patients with obsessive-compulsive disorder and its potential for diagnosis and prediction of early treatment response. Front Cell Neurosci 2022; 16:906534. [PMID: 35910254 PMCID: PMC9334680 DOI: 10.3389/fncel.2022.906534] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 06/30/2022] [Indexed: 11/25/2022] Open
Abstract
Early brain functional changes induced by pharmacotherapy in patients with obsessive-compulsive disorder (OCD) in relation to drugs per se or because of the impact of such drugs on the improvement of OCD remain unclear. Moreover, no neuroimaging biomarkers are available for diagnosis of OCD and prediction of early treatment response. We performed a longitudinal study involving 34 patients with OCD and 36 healthy controls (HCs). Patients with OCD received 5-week treatment with paroxetine (40 mg/d). Resting-state functional magnetic resonance imaging (fMRI), regional homogeneity (ReHo), support vector machine (SVM), and support vector regression (SVR) were applied to acquire and analyze the imaging data. Compared with HCs, patients with OCD had higher ReHo values in the right superior temporal gyrus and bilateral hippocampus/parahippocampus/fusiform gyrus/cerebellum at baseline. ReHo values in the left hippocampus and parahippocampus decreased significantly after treatment. The reduction rate (RR) of ReHo values was positively correlated with the RRs of the scores of Yale-Brown Obsessive-Compulsive Scale (Y-BOCS) and obsession. Abnormal ReHo values at baseline could serve as potential neuroimaging biomarkers for OCD diagnosis and prediction of early therapeutic response. This study highlighted the important role of the hippocampal-cortical system in the neuropsychological mechanism underlying OCD, pharmacological mechanism underlying OCD treatment, and the possibility of building models for diagnosis and prediction of early treatment response based on spontaneous activity in the hippocampal-cortical system.
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Affiliation(s)
- Haohao Yan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Xiaoxiao Shan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Huabing Li
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Feng Liu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Wenbin Guo
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- Department of Psychiatry, The Third People’s Hospital of Foshan, Foshan, China
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, China
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Yan H, Shan X, Li H, Liu F, Guo W. Abnormal spontaneous neural activity as a potential predictor of early treatment response in patients with obsessive-compulsive disorder. J Affect Disord 2022; 309:27-36. [PMID: 35472471 DOI: 10.1016/j.jad.2022.04.125] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 04/17/2022] [Accepted: 04/19/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND We aimed to explore the value of early improvement in obsessive-compulsive disorder (OCD) along with potential imaging changes after treatment with paroxetine in building diagnostic models and predicting treatment response. METHODS The clinical symptoms of patients with OCD were assessed at baseline and post-treatment (four weeks). Resting-state functional magnetic resonance imaging, fractional amplitudes of low-frequency fluctuations (fALFF) indicator, support vector machine (SVM), support vector regression (SVR), and correlation analysis were performed to acquire and analyze the data. RESULTS In comparison with healthy controls, OCD patients at baseline had abnormal fALFF in several brain regions. The abnormal fALFF in the left precuneus/ posterior cingulate cortex (PCC) (r = -0.526, p = 0.001) and right middle cingulate cortex (MCC) (r = -0.588, p < 0.001) were negatively correlated with the severity of compulsions. Patients with OCD showed significantly clinical improvement along with significantly decreased fALFF in the left precuneus after treatment. The SVM analysis showed that the classifier had an accuracy of 90.00% based on the fALFF in the right precentral gyrus and right MCC at baseline. The SVR analysis showed that the actual remission of OCD was positively correlated with the predicted remission based on the fALFF in the left precuneus/PCC and right MCC at baseline. LIMITATIONS This monocentric study with the relatively small sample size might restrict the generalizability of the results to other centers. CONCLUSIONS Abnormal spontaneous neural activities in patients with OCD could serve as potential neuroimaging biomarkers for diagnosis and prediction of early treatment response.
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Affiliation(s)
- Haohao Yan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Xiaoxiao Shan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Huabing Li
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Feng Liu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Wenbin Guo
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China; Department of Psychiatry, The Third People's Hospital of Foshan, Foshan 528000, Guangdong, China.
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9
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Ye S, Xie M, Yu X, Wu R, Liu D, Hu S, Xu Y, Liu H, Wang X, Zhu G, Wang H, Zou S, Li T, Guo W, Xu X, Cheng Y, Li Y, Yang J, Peng M, Li N, Shi C. The Chinese Brief Cognitive Test: Normative Data Stratified by Gender, Age and Education. Front Psychiatry 2022; 13:933642. [PMID: 35859598 PMCID: PMC9289100 DOI: 10.3389/fpsyt.2022.933642] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Accepted: 06/06/2022] [Indexed: 01/10/2023] Open
Abstract
The aim of this study was to develop a brief version of cognitive assessment test for evaluating the efficacy of treatments targeting cognitive impairments in Chinese schizophrenia patients, to examine its reliability, and establish normative data. Stratified according to age, gender, and educational level, healthy adult subjects were recruited from fifteen institutions in seven administrative regions of China and 723 valid samples were obtained, of which 50 were retested. Generalized Linear Models were conducted to analyze the effects of age, sex, and education. There was no significant difference between genders, while significant effects were demonstrated respectively among age and education on the normative data of C-BCT. The Cronbach α of C-BCT is 0.75, and the test-retest reliability (ICC) ranged from 0.62 to 0.76. Normative data of C-BCT were generated by gender, age and education, and the effects of these demographic factors were analyzed. It revealed good internal consistency and test-retest reliability of C-BCT.
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Affiliation(s)
- Shuling Ye
- 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
| | - Mengjuan Xie
- 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
| | - Renrong Wu
- Institute of Mental Health of Second Xiangya Hospital, Central South University, Changsha, China
| | - Dengtang Liu
- Division of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shaohua Hu
- Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yong Xu
- Department of Psychiatry, First Clinical Medical College/First Hospital of Shanxi Medical University, Taiyuan, China
| | - Huanzhong Liu
- Department of Psychiatry, Chaohu Hospital, Anhui Medical University, Hefei, China
| | - Xijin Wang
- The First Harbin Psychiatric Hospital, Harbin, China
| | - Gang Zhu
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Huaning Wang
- Department of Psychiatry, Xijing Hospital, The Fourth Military Medical University, Xi'an, China
| | - Shaohong Zou
- Department of Clinical Psychology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China
| | - Tao Li
- Affiliated Mental Health Center and Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Wanjun Guo
- The Mental Health Center, West China Hospital, Sichuan University, Chengdu, China
| | - Xiufeng Xu
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Yuqi Cheng
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Yi Li
- Wuhan Mental Health Center, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China
| | - Juan Yang
- Department of Psychology, Hainan Medical University, Haikou, China
| | - Min Peng
- Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, China
| | - Nan Li
- Research Center of Clinical Epidemiology, Peking University Third Hospital, 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
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10
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Wang X, Kou X, Meng X, Yu J. Effects of a virtual reality serious game training program on the cognitive function of people diagnosed with schizophrenia: A randomized controlled trial. Front Psychiatry 2022; 13:952828. [PMID: 35911215 PMCID: PMC9334918 DOI: 10.3389/fpsyt.2022.952828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 06/28/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Cognitive impairment persists through the course of schizophrenia and affects patients' activities of daily living. AIM This study aims to investigate the effects of a virtual reality (VR) serious game training program on the cognitive function of people diagnosed with schizophrenia. MATERIALS AND METHODS Sixty-four eligible people diagnosed with schizophrenia were recruited and randomly assigned to the intervention group (n = 31) and the control group (n = 33). The control group received standard psychiatric care. The intervention group was trained with an additional VR game twice a day for at least 10 days during hospitalization. Cognitive function was measured at enrollment and before discharge using the Brief Cognitive Assessment Tool for Schizophrenia. RESULTS Compared with those of the control group, the results of the working memory (t = 3.463, Cohen's d = 0.87, p = 0.001) and executive function (TMTA: Z = -2.272, Cohen's d = 0.59, p = 0.023; TMTB:Z = -2.365, Cohen's d = 0.62, p = 0.018) of the intervention group after intervention were significantly better. However, there was no significant difference in the results of social cognition (Z = -1.394, Cohen's d = 0.35, p = 0.163) between the two groups. CONCLUSION Intensive active virtual reality serious game training in addition to standard psychiatric care can significantly improve working memory and executive function in people diagnosed with schizophrenia. IMPLICATIONS FOR PRACTICE When helping improve the cognitive function of people diagnosed with schizophrenia, mental health professionals should identify cognitive domains to be enhanced and develop corresponding serious game training strategies.
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Affiliation(s)
- Xu Wang
- West China Hospital, Sichuan University, Chengdu, China.,West China School of Nursing, Sichuan University, Chengdu, China
| | - Xiaomin Kou
- West China Hospital, Sichuan University, Chengdu, China
| | - Xiandong Meng
- West China Hospital, Sichuan University, Chengdu, China
| | - Jianying Yu
- West China Hospital, Sichuan University, Chengdu, China
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11
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Vita A, Gaebel W, Mucci A, Sachs G, Erfurth A, Barlati S, Zanca F, Giordano GM, Birkedal Glenthøj L, Nordentoft M, Galderisi S. European Psychiatric Association guidance on assessment of cognitive impairment in schizophrenia. Eur Psychiatry 2022; 65:e58. [PMID: 36059109 PMCID: PMC9532219 DOI: 10.1192/j.eurpsy.2022.2316] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
Background Impairment in a wide range of cognitive abilities has been consistently reported in individuals with schizophrenia. Both neurocognitive and social cognitive deficits are thought to underlie severe functional disabilities associated with schizophrenia. Despite the key role in schizophrenia outcome, cognition is still poorly assessed in both research and clinical settings. Methods In this guidance paper, we provide a systematic review of the scientific literature and elaborate several recommendations for the assessment of cognitive functions in schizophrenia both in research settings and in real-world clinical practice. Results Expert consensus and systematic reviews provided guidance for the optimal assessment of cognitive functions in schizophrenia. Based on the reviewed evidence, we recommend a comprehensive and systematic assessment of neurocognitive and social cognitive domains in schizophrenia, in all phases of the disorder, as well as in subjects at risk to develop psychosis. This European Psychiatric Association guidance recommends not only the use of observer reports but also self-reports and interview-based cognitive assessment tools. The guidance also provides a systematic review of the state of the art of assessment in the first episode of psychosis patients and in individuals at risk for psychosis. Conclusion The comprehensive review of the evidence and the recommendations might contribute to advance the field, allowing a better cognitive assessment, and avoiding overlaps with other psychopathological dimensions. The dissemination of this guidance paper may promote the development of shared guidelines concerning the assessment of cognitive functions in schizophrenia, with the purpose to improve the quality of care and to obtain recovery.
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12
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Tortorella A. We Should Improve Personalization of Management in Patients with a Diagnosis of Schizophrenia. J Clin Med 2021; 11:jcm11010184. [PMID: 35011925 PMCID: PMC8745754 DOI: 10.3390/jcm11010184] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 12/17/2021] [Accepted: 12/29/2021] [Indexed: 12/23/2022] Open
Abstract
The current management of patients with schizophrenia is marked by a lack of personalization. After the diagnosis is made, a second-generation antipsychotic is usually prescribed based on the current clinician’s preferences, sometimes accompanied by a psychosocial intervention which is typically not evidence-based and not targeted to the specific needs of the individual patient. In this opinion paper, some steps are outlined that could be taken in order to address this lack of personalization. A special emphasis is laid on the clinical characterization of the patient who has received a diagnosis of schizophrenia. Considerations are put forward concerning the assessment of the negative dimension in ordinary clinical practice, which is often neglected; the evaluation of cognitive functioning using a simple test battery which requires limited professional training and takes no more than 15 min to administer; the evaluation of social functioning using a validated instrument focusing on personal care skills, interpersonal relationships, social acceptability, activities, and work skills; and the assessment of the unmet needs of the person (including practical, social, and emotional needs, and existential or personal recovery). The implications of the assessment of these domains for the formulation of the management plan are discussed.
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13
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Sánchez-Martínez V, Sales-Orts R. Design and validation of a brief scale for cognitive evaluation in people with a diagnosis of schizophrenia (BCog-S). J Psychiatr Ment Health Nurs 2020; 27:543-552. [PMID: 31976597 DOI: 10.1111/jpm.12602] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Revised: 01/10/2020] [Accepted: 01/20/2020] [Indexed: 12/20/2022]
Abstract
WHAT IS KNOWN ON THE SUBJECT?: Schizophrenia is often related to cognitive deficits. Mental health nurses are involved in health promotion, prevention, treatment and rehabilitation in schizophrenia. However, the nursing literature addressing cognitive rehabilitation from schizophrenia is very limited. Cognition and its domains (communication, information processing, attentiveness, concentration, orientation, memory and calculation skills) are established by the Nursing Outcomes Classification (NOC), but they are difficult to measure. WHAT THE PAPER ADDS TO EXISTING KNOWLEDGE?: We present a new standardized cognitive assessment to be administered by nurses to people diagnosed with schizophrenia. The Brief Cognitive Scale for schizophrenia (BCog-S) was validated in people with a diagnosis of schizophrenia (including people with schizoaffective disorder), using as references both the assessment of controls matched by age, sex and educational level, and another brief cognitive battery as the gold standard. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: Nurses can effectively use the BCog-S to measure cognition and its domains in people with a diagnosis of schizophrenia. It is a standardized cognitive assessment consisting of a brief battery to be administered by nurses (and other professionals) to people diagnosed with schizophrenia. It is useful for establishing normative reference values for the outcome and its indicators. Using the BCog-S, nurses can determine the cognitive status of the people diagnosed with schizophrenia they care for, measuring cognitive improvements, lapses or stability attributable to their rehabilitation. Nurses can demonstrate their contribution to cognitive rehabilitation with these measurements of improvement or stability. ABSTRACT: Introduction Nurses play a key role in cognitive rehabilitation programs for people diagnosed with schizophrenia. Aim To design and validate a brief battery to assess the cognitive status of people diagnosed with schizophrenia from the nursing perspective. Method Study developed to evaluate a diagnostic test. The Brief Cognitive Scale for schizophrenia (BCog-S) is a hybrid battery composed of previously validated brief tests, designed to meet the dimensions of cognition considered by the NOC. The psychometric properties of the instrument were measured using the Screening for Cognitive Impairment in Psychiatry-Spanish version (SCIP-S) as the gold standard, and against the scores obtained by matched controls. Results About 100 people diagnosed with schizophrenia and 100 controls participated. The battery's internal consistency was 0.70. The Pearson correlation with the SCIP-S was 0.80 (sensitivity = 0.86, specificity = 0.80). The mean T-score of those diagnosed with schizophrenia was 2.2 standard deviations below that of the controls. There were significant differences in educational level, employment and cohabitation. Discussion The BCog-S showed acceptable psychometric properties. It can discriminate cognitive impairment and could be useful for establishing normative reference values. Implications for practice Nurses can use the BCog-S to measure cognition in people with a diagnosis of schizophrenia.
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Affiliation(s)
| | - Rafael Sales-Orts
- Faculty of Nursing and Podiatry, University of Valencia, Valencia, Spain
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14
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Learning the Affective Value of Others in Schizophrenia: Examining the Role of Negative Symptoms and Cognitive Deficits. JOURNAL OF PSYCHOPATHOLOGY AND BEHAVIORAL ASSESSMENT 2020. [DOI: 10.1007/s10862-020-09818-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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15
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Szaulińska K, Wichniak A. BMI-NECK: A simple assessment of risk of obstructive sleep apnea in schizophrenia. J Psychiatr Res 2020; 125:33-37. [PMID: 32203737 DOI: 10.1016/j.jpsychires.2020.03.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Revised: 03/10/2020] [Accepted: 03/11/2020] [Indexed: 11/17/2022]
Abstract
INTRODUCTION A high risk of obstructive sleep apnea (OSA) has been reported in patients with schizophrenia. However, existing screening questionnaires for OSA haven't been validated in this population and the impact of OSA on schizophrenia symptoms has rarely been studied. This study aimed to investigate the prevalence and impact of OSA in patients with schizophrenia and validate the existing OSA screening scales. METHOD Patients with schizophrenia consecutively admitted to hospital (n = 51) and patients with schizophrenia and obesity (n = 31) were compared to healthy controls (n = 51). Apnea risk was measured with STOP-BANG, NoSAS, No-Apnea, and the Berlin Questionnaire; psychiatric symptoms were measured with the PANSS and Calgary scales and B-CATS battery. Daytime sleepiness was measured with the Epworth sleepiness scale. OSA was diagnosed using the Embletta system. RESULTS OSA was found more frequently in obese schizophrenia patients than in those consecutively admitted to hospital (45% vs. 22%, p < 0.05). Significant differences between patients with and without OSA were found on the PANSS negative symptoms subscale, B-CATS digit symbol test, and in daytime sleepiness. None of the used screening scales showed satisfactory sensitivity and specificity. Obesity with coexisting neck circumference ≥41 cm in women or ≥43 cm in men (BMI-NECK model) predicted OSA in 57% of cases. CONCLUSIONS OSA should be screened in patients with schizophrenia as it has a negative influence on psychiatric symptoms and may contribute to the higher mortality of these patients. Assessment of BMI and neck circumference proves a good screening test in ambulatory contexts.
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Affiliation(s)
- Katarzyna Szaulińska
- Third Department of Psychiatry, Institute of Psychiatry and Neurology, Warsaw, Poland; Department of Prevention and Treatment of Addictions, Institute of Psychiatry and Neurology, Warsaw, Poland.
| | - Adam Wichniak
- Third Department of Psychiatry, Institute of Psychiatry and Neurology, Warsaw, Poland; Sleep Medicine Center, Department of Clinical Neurophysiology, Institute of Psychiatry and Neurology, Warsaw, Poland.
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16
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Dinakaran D, Sreeraj VS, Venkatasubramanian G. Measurement based care in schizophrenia-Feasibility in routine clinical practice. Asian J Psychiatr 2020; 49:101954. [PMID: 32065965 DOI: 10.1016/j.ajp.2020.101954] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 12/30/2019] [Accepted: 02/09/2020] [Indexed: 12/18/2022]
Abstract
Measurement based care (MBC) implies the utilization of structured objective scales/batteries in the assessment and monitoring of an illness. Patients with schizophrenia with heterogeneous presentation would potentially benefit better through MBC. Time constraints and additional work burden are frequently cited as barriers in implementing objective assessments. In this selective review, the authors discuss the available standard scales for assessment in schizophrenia, the advantages and disadvantages in implementing MBC and a feasible approach to overcome the barriers by adapting shorter versions of structured scales.
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Affiliation(s)
- Damodharan Dinakaran
- Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India.
| | - Vanteemar S Sreeraj
- Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India
| | - Ganesan Venkatasubramanian
- Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India
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17
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Siskind D, Friend N, Russell A, McGrath JJ, Lim C, Patterson S, Flaws D, Stedman T, Moudgil V, Sardinha S, Suetani S, Kisely S, Winckel K, Baker A. CoMET: a protocol for a randomised controlled trial of co-commencement of METformin as an adjunctive treatment to attenuate weight gain and metabolic syndrome in patients with schizophrenia newly commenced on clozapine. BMJ Open 2018; 8:e021000. [PMID: 29500217 PMCID: PMC5855211 DOI: 10.1136/bmjopen-2017-021000] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
INTRODUCTION Clozapine, while effective in treatment refractory schizophrenia, is associated with significant weight gain, heart disease and increased risk of type 2 diabetes mellitus (T2DM). Although there is evidence for weight loss with metformin for people with obesity who are already taking clozapine, there have been no published trials that have investigated the effect of metformin in attenuating weight gain at the time of clozapine initiation. METHODS AND ANALYSIS A 24-week double-blind placebo-controlled trial of concomitant prescription of metformin at clozapine commencement. Eighty-six people being commenced on clozapine will be randomised to placebo or metformin (variable dose, up to 2 g/day). The primary outcome is comparative end point body weight, between the placebo and metformin groups. Secondary outcomes are comparative rates of conversion to T2DM, alteration of metabolic syndrome parameters, proportion gaining >5% body weight and changes in diet and appetite. We will additionally examine biomarkers associated with change in weight among trial participants. ETHICS AND DISSEMINATION Ethics approval was granted by the Metro South Human Research Ethics Committee HREC/17/QPAH/538-SSA/17/QPAH/565. We plan to submit a manuscript of the results to a peer-reviewed journal, and present results at conferences, consumer forums and hospital grand rounds. TRIAL REGISTRATION NUMBER ACTRN12617001547336; Pre-results.
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Affiliation(s)
- Dan Siskind
- University of Queensland School of Medicine, Brisbane, Queensland, Australia
- Metro South Addiction and Mental Health Service, Brisbane, Queensland, Australia
- Queensland Centre for Mental Health Research, Brisbane, Queensland, Australia
| | - Nadia Friend
- Sunshine Coast Health and Hospital Service, Brisbane, Queensland, Australia
| | - Anthony Russell
- University of Queensland School of Medicine, Brisbane, Queensland, Australia
- Department of Endocrinology, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - John J McGrath
- Queensland Centre for Mental Health Research, Brisbane, Queensland, Australia
- Queensland Brain Institute, University of Queensland, St Lucia, Queensland, Australia
- National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark
| | - Carmen Lim
- Queensland Centre for Mental Health Research, Brisbane, Queensland, Australia
| | - Sue Patterson
- Metro North Mental Health Service, Brisbane, Queensland, Australia
| | - Dylan Flaws
- University of Queensland School of Medicine, Brisbane, Queensland, Australia
- Metro North Mental Health Service, Brisbane, Queensland, Australia
| | - Terry Stedman
- West Moreton Health and Hospital Service, Brisbane, Queensland, Australia
| | - Vikas Moudgil
- University of Queensland School of Medicine, Brisbane, Queensland, Australia
- Metro North Mental Health Service, Brisbane, Queensland, Australia
| | - Savio Sardinha
- Gold Coast Health and Hospital Service, Gold Coast, Queensland, Australia
| | - Shuichi Suetani
- University of Queensland School of Medicine, Brisbane, Queensland, Australia
- Metro South Addiction and Mental Health Service, Brisbane, Queensland, Australia
- Queensland Centre for Mental Health Research, Brisbane, Queensland, Australia
| | - Steve Kisely
- University of Queensland School of Medicine, Brisbane, Queensland, Australia
- Metro South Addiction and Mental Health Service, Brisbane, Queensland, Australia
| | - Karl Winckel
- Pharmacy Department, Princess Alexandra Hospital, Brisbane, Queensland, Australia
- University of Queensland School of Pharmacy, Brisbane, Queensland, Australia
| | - Andrea Baker
- Queensland Centre for Mental Health Research, Brisbane, Queensland, Australia
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