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Huang Y, Weng Y, Lan L, Zhu C, Shen T, Tang W, Lai HY. Insight in obsessive-compulsive disorder: conception, clinical characteristics, neuroimaging, and treatment. PSYCHORADIOLOGY 2023; 3:kkad025. [PMID: 38666121 PMCID: PMC10917385 DOI: 10.1093/psyrad/kkad025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 10/27/2023] [Accepted: 11/07/2023] [Indexed: 04/28/2024]
Abstract
Obsessive-compulsive disorder (OCD) is a chronic disabling disease with often unsatisfactory therapeutic outcomes. The fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) has broadened the diagnostic criteria for OCD, acknowledging that some OCD patients may lack insight into their symptoms. Previous studies have demonstrated that insight can impact therapeutic efficacy and prognosis, underscoring its importance in the treatment of mental disorders, including OCD. In recent years, there has been a growing interest in understanding the influence of insight on mental disorders, leading to advancements in related research. However, to the best of our knowledge, there is dearth of comprehensive reviews on the topic of insight in OCD. In this review article, we aim to fill this gap by providing a concise overview of the concept of insight and its multifaceted role in clinical characteristics, neuroimaging mechanisms, and treatment for OCD.
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Affiliation(s)
- Yueqi Huang
- Department of Psychiatry, Affiliated Mental Health Center and Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou 310007, China
| | - Yazhu Weng
- Fourth Clinical School of Zhejiang Chinese Medical University, Hangzhou 310053, China
| | - Lan Lan
- Department of Psychology and Behavior Science, Zhejiang University, Hangzhou 310058, China
| | - Cheng Zhu
- Department of Psychiatry, Affiliated Mental Health Center and Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou 310007, China
| | - Ting Shen
- Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia 19104, PA, USA
| | - Wenxin Tang
- Department of Psychiatry, Affiliated Mental Health Center and Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou 310007, China
| | - Hsin-Yi Lai
- Department of Psychiatry, Affiliated Mental Health Center and Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou 310007, China
- Department of Neurology of the Second Affiliated Hospital, Interdisciplinary Institute of Neuroscience and Technology, Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou 310029, China
- MOE Frontier Science Center for Brain Science and Brain-Machine Integration, State Key Laboratory of Brain-machine Intelligence, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou 311121, China
- College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou 310027, China
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2
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Kim J, Song J, Kambari Y, Plitman E, Shah P, Iwata Y, Caravaggio F, Brown EE, Nakajima S, Chakravarty MM, De Luca V, Remington G, Graff-Guerrero A, Gerretsen P. Cortical thinning in relation to impaired insight into illness in patients with treatment resistant schizophrenia. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2023; 9:27. [PMID: 37120642 PMCID: PMC10148890 DOI: 10.1038/s41537-023-00347-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Accepted: 03/12/2023] [Indexed: 05/01/2023]
Abstract
Impaired insight into illness is a common element of schizophrenia that contributes to treatment nonadherence and negative clinical outcomes. Previous studies suggest that impaired insight may arise from brain abnormalities. However, interpretations of these findings are limited due to small sample sizes and inclusion of patients with a narrow range of illness severity and insight deficits. In a large sample of patients with schizophrenia, the majority of which were designated as treatment-resistant, we investigated the associations between impaired insight and cortical thickness and subcortical volumes. A total of 94 adult participants with a schizophrenia spectrum disorder were included. Fifty-six patients (60%) had treatment-resistant schizophrenia. The core domains of insight were assessed with the VAGUS insight into psychosis scale. We obtained 3T MRI T1-weighted images, which were analysed using CIVET and MAGeT-Brain. Whole-brain vertex-wise analyses revealed impaired insight, as measured by VAGUS average scores, was related to cortical thinning in left frontotemporoparietal regions. The same analysis in treatment-resistant patients showed thinning in the same regions, even after controlling for age, sex, illness severity, and chlorpromazine antipsychotic dose equivalents. No association was found in non-treatment-resistant patients. Region-of-interest analyses revealed impaired general illness awareness was associated with cortical thinning in the left supramarginal gyrus when controlling for covariates. Reduced right and left thalamic volumes were associated with VAGUS symptom attribution and awareness of negative consequences subscale scores, respectively, but not after correction for multiple testing. Our results suggest impaired insight into illness is related to cortical thinning in left frontotemporoparietal regions in patients with schizophrenia, particularly those with treatment resistance where insight deficits may be more chronic.
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Affiliation(s)
- Julia Kim
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Jianmeng Song
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Yasaman Kambari
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Eric Plitman
- Cerebral Imaging Centre, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Parita Shah
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Yusuke Iwata
- University of Yamanashi, Faculty of Medicine, Department of Neuropsychiatry, Yamanashi, Japan
| | - Fernando Caravaggio
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Eric E Brown
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Campbell Family Mental Health Research Institute, CAMH, Toronto, ON, Canada
- Geriatric Mental Health Division, CAMH, Toronto, ON, Canada
| | - Shinichiro Nakajima
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - M Mallar Chakravarty
- Cerebral Imaging Centre, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Department of Biomedical Engineering, McGill University, Montreal, QC, Canada
| | - Vincenzo De Luca
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Department of Biomedical Engineering, McGill University, Montreal, QC, Canada
| | - Gary Remington
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Campbell Family Mental Health Research Institute, CAMH, Toronto, ON, Canada
- Schizophrenia Division, CAMH, Toronto, ON, Canada
| | - Ariel Graff-Guerrero
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Geriatric Mental Health Division, CAMH, Toronto, ON, Canada
- Schizophrenia Division, CAMH, Toronto, ON, Canada
| | - Philip Gerretsen
- Multimodal Imaging Group, Research Imaging Centre, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada.
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada.
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.
- Geriatric Mental Health Division, CAMH, Toronto, ON, Canada.
- Schizophrenia Division, CAMH, Toronto, ON, Canada.
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3
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Soldevila-Matías P, Schoretsanitis G, Tordesillas-Gutierrez D, Cuesta MJ, de Filippis R, Ayesa-Arriola R, González-Vivas C, Setién-Suero E, Verdolini N, Sanjuán J, Radua J, Crespo-Facorro B. Neuroimaging correlates of insight in non-affective psychosis: A systematic review and meta-analysis. REVISTA DE PSIQUIATRIA Y SALUD MENTAL 2022; 15:117-133. [PMID: 35840278 DOI: 10.1016/j.rpsmen.2022.06.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 07/01/2021] [Indexed: 06/15/2023]
Abstract
OBJECTIVE Neurological correlates of impaired insight in non-affective psychosis remain unclear. This study aimed to review and meta-analyze the studies assessing the grey matter volumetric correlates of impaired insight in non-affective psychosis. METHODS This study consisted of a systematic review of 23 studies, and a meta-analysis with SDM-PSI of the 11 studies that were whole-brain and reported maps or peaks of correlation of studies investigating the grey matter volumetric correlates of insight assessments of non-affective psychosis, PubMed and OVID datasets were independently reviewed for articles reporting neuroimaging correlates of insight in non-affective psychosis. Quality assessment was realized following previous methodological approaches for the ABC quality assessment test of imaging studies, based on two main criteria: the statistical power and the multidimensional assessment of insight. Study peaks of correlation between grey matter volume and insight were used to recreate brain correlation maps. RESULTS A total of 418 records were identified through database searching. Of these records, twenty-three magnetic resonance imaging (MRI) studies that used different insight scales were included. The quality of the evidence was high in 11 studies, moderate in nine, and low in three. Patients with reduced insight showed decreases in the frontal, temporal (specifically in superior temporal gyrus), precuneus, cingulate, insula, and occipital lobes cortical grey matter volume. The meta-analysis indicated a positive correlation between grey matter volume and insight in the right insula (i.e., the smaller the grey matter, the lower the insight). CONCLUSION Several brain areas might be involved in impaired insight in patients with non-affective psychoses. The methodologies employed, such as the applied insight scales, may have contributed to the considerable discrepancies in the findings.
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Affiliation(s)
- Pau Soldevila-Matías
- Department of Basic Psychology, Faculty of Psychology, University of Valencia, Valencia, Spain; Research Institute of Clinic University Hospital of Valencia (INCLIVA), Valencia, Spain; National Reference Center for Psychosocial Care for People with Serious Mental Disorder (CREAP), Valencia, Spain
| | - Georgios Schoretsanitis
- The Zucker Hillside Hospital, Psychiatry Research, Northwell Health, Glen Oaks, New York, USA
| | - Diana Tordesillas-Gutierrez
- Marqués de Valdecilla University Hospital, Department of Radiology, IDIVAL, Santander, Spain; Marqués de Valdecilla University Hospital, Department of Psychiatry, School of Medicine, University of Cantabria, IDIVAL, Santander, Spain; CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain.
| | - Manuel J Cuesta
- Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Renato de Filippis
- The Zucker Hillside Hospital, Psychiatry Research, Northwell Health, Glen Oaks, New York, USA; Psychiatry Unit Department of Health Sciences, University Magna Graecia of Catanzaro, Catanzaro 88100, Italy
| | - Rosa Ayesa-Arriola
- Marqués de Valdecilla University Hospital, Department of Radiology, IDIVAL, Santander, Spain; Marqués de Valdecilla University Hospital, Department of Psychiatry, School of Medicine, University of Cantabria, IDIVAL, Santander, Spain; CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain
| | - Carlos González-Vivas
- Research Institute of Clinic University Hospital of Valencia (INCLIVA), Valencia, Spain
| | - Esther Setién-Suero
- Marqués de Valdecilla University Hospital, Department of Radiology, IDIVAL, Santander, Spain; Marqués de Valdecilla University Hospital, Department of Psychiatry, School of Medicine, University of Cantabria, IDIVAL, Santander, Spain; CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain
| | - Norma Verdolini
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel Street, 12-0, 08036 Barcelona, Spain
| | - Julio Sanjuán
- Research Institute of Clinic University Hospital of Valencia (INCLIVA), Valencia, Spain; CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain; Department of Psychiatric, University of Valencia, School of Medicine, Valencia, Spain
| | - Joaquim Radua
- CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Centre for Psychiatric Research and Education, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Benedicto Crespo-Facorro
- Marqués de Valdecilla University Hospital, Department of Radiology, IDIVAL, Santander, Spain; Marqués de Valdecilla University Hospital, Department of Psychiatry, School of Medicine, University of Cantabria, IDIVAL, Santander, Spain; CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain
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4
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Cai J, Wei W, Zhao L, Li M, Li X, Liang S, Deng W, Du XD, Wang Q, Guo WJ, Ma X, Sham PC, Li T. Abnormal Brain Structure Morphology in Early-Onset Schizophrenia. Front Psychiatry 2022; 13:925204. [PMID: 35873260 PMCID: PMC9301254 DOI: 10.3389/fpsyt.2022.925204] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 05/31/2022] [Indexed: 11/25/2022] Open
Abstract
With less exposure to environmental and medication influences, individuals with early-onset schizophrenia (EOS) may provide valuable evidence to study the pathogenesis and phenotypic pattern of schizophrenia.T1-weighted magnetic resonance images were collected in 60 individuals with EOS and 40 healthy controls. Voxel-based morphometry and surface-based morphometry analyzes were performed. Gray matter volume, cortical thickness and cortical surface area were compared between the EOS and healthy controls and among schizophrenia subgroups (with or without family history of schizophrenia). Compared with healthy controls, the EOS group had reduced gray matter volume in the bilateral middle temporal gyrus and reduced cortical thickness in several brain regions. The sporadic early onset schizophrenia and the familial early onset schizophrenia showed different brain structure morphology. These findings suggest that abnormal brain structure morphology, especially in the temporal and frontal lobes, may be an important pathophysiological feature of EOS.
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Affiliation(s)
- Jia Cai
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Wei Wei
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Liansheng Zhao
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Mingli Li
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Xiaojing Li
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Sugai Liang
- Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Wei Deng
- Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiang Dong Du
- Suzhou Psychiatry Hospital, Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Qiang Wang
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Wan-Jun Guo
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Xiaohong Ma
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Pak C Sham
- Department of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.,Center for PanorOmic Sciences, The University of Hong Kong, Hong Kong SAR, China.,State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong SAR, China
| | - Tao Li
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China.,Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
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5
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Ferracuti S, Del Casale A, Romano A, Gualtieri I, Lucignani M, Napolitano A, Modesti MN, Buscajoni A, Zoppi T, Kotzalidis GD, Manelfi L, de Pisa E, Girardi P, Mandarelli G, Parmigiani G, Rossi-Espagnet MC, Pompili M, Bozzao A. Correlations between cortical gyrification and schizophrenia symptoms with and without comorbid hostility symptoms. Front Psychiatry 2022; 13:1092784. [PMID: 36684000 PMCID: PMC9846757 DOI: 10.3389/fpsyt.2022.1092784] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 12/12/2022] [Indexed: 01/06/2023] Open
Abstract
INTRODUCTION Interest in identifying the clinical implications of the neuropathophysiological background of schizophrenia is rising, including changes in cortical gyrification that may be due to neurodevelopmental abnormalities. Inpatients with schizophrenia can show abnormal gyrification of cortical regions correlated with the symptom severity. METHODS Our study included 36 patients that suffered an acute episode of schizophrenia and have undergone structural magnetic resonance imaging (MRI) to calculate the local gyrification index (LGI). RESULTS In the whole sample, the severity of symptoms significantly correlated with higher LGI in different cortical areas, including bilateral frontal, cingulate, parietal, temporal cortices, and right occipital cortex. Among these areas, patients with low hostility symptoms (LHS) compared to patients with high hostility symptoms (HHS) showed significantly lower LGI related to the severity of symptoms in bilateral frontal and temporal lobes. DISCUSSION The severity of psychopathology correlated with higher LGI in large portions of the cerebral cortex, possibly expressing abnormal neural development in schizophrenia. These findings could pave the way for further studies and future tailored diagnostic and therapeutic strategies.
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Affiliation(s)
- Stefano Ferracuti
- Department of Human Neuroscience, Faculty of Medicine and Dentistry, Sapienza University, Rome, Italy.,Unit of Risk Management, Sant'Andrea University Hospital, Rome, Italy
| | - Antonio Del Casale
- Department of Dynamic and Clinical Psychology, and Health Studies, Faculty of Medicine and Psychology, Sapienza University, Rome, Italy.,Unit of Psychiatry, Sant'Andrea University Hospital, Rome, Italy
| | - Andrea Romano
- Department of Neuroscience, Mental Health and Sensory Organs, Faculty of Medicine and Psychology, Sapienza University, Rome, Italy.,Unit of Neuroradiology, Sant'Andrea University Hospital, Rome, Italy
| | - Ida Gualtieri
- Department of Neuroscience, Mental Health and Sensory Organs, Faculty of Medicine and Psychology, Sapienza University, Rome, Italy
| | | | | | - Martina Nicole Modesti
- Unit of Psychiatry, Sant'Andrea University Hospital, Rome, Italy.,Department of Neuroscience, Mental Health and Sensory Organs, Faculty of Medicine and Psychology, Sapienza University, Rome, Italy
| | - Andrea Buscajoni
- Department of Neuroscience, Mental Health and Sensory Organs, Faculty of Medicine and Psychology, Sapienza University, Rome, Italy
| | - Teodolinda Zoppi
- Department of Neuroscience, Mental Health and Sensory Organs, Faculty of Medicine and Psychology, Sapienza University, Rome, Italy
| | - Georgios D Kotzalidis
- Department of Neuroscience, Mental Health and Sensory Organs, Faculty of Medicine and Psychology, Sapienza University, Rome, Italy
| | - Lorenza Manelfi
- Department of Neuroscience, Mental Health and Sensory Organs, Faculty of Medicine and Psychology, Sapienza University, Rome, Italy
| | - Eleonora de Pisa
- Unit of Psychiatry, Sant'Andrea University Hospital, Rome, Italy.,Department of Neuroscience, Mental Health and Sensory Organs, Faculty of Medicine and Psychology, Sapienza University, Rome, Italy
| | - Paolo Girardi
- Department of Dynamic and Clinical Psychology, and Health Studies, Faculty of Medicine and Psychology, Sapienza University, Rome, Italy.,Unit of Psychiatry, Sant'Andrea University Hospital, Rome, Italy
| | - Gabriele Mandarelli
- Department of Interdisciplinary Medicine, Section of Criminology and Forensic Psychiatry, University of Bari, Bari, Italy
| | - Giovanna Parmigiani
- Department of Human Neuroscience, Faculty of Medicine and Dentistry, Sapienza University, Rome, Italy
| | - Maria Camilla Rossi-Espagnet
- Department of Neuroscience, Mental Health and Sensory Organs, Faculty of Medicine and Psychology, Sapienza University, Rome, Italy.,Department of Interdisciplinary Medicine, Section of Criminology and Forensic Psychiatry, University of Bari, Bari, Italy
| | - Maurizio Pompili
- Unit of Psychiatry, Sant'Andrea University Hospital, Rome, Italy.,Department of Neuroscience, Mental Health and Sensory Organs, Faculty of Medicine and Psychology, Sapienza University, Rome, Italy
| | - Alessandro Bozzao
- Department of Neuroscience, Mental Health and Sensory Organs, Faculty of Medicine and Psychology, Sapienza University, Rome, Italy.,Unit of Neuroradiology, Sant'Andrea University Hospital, Rome, Italy
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6
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Soldevila-Matías P, Schoretsanitis G, Tordesillas-Gutierrez D, Cuesta MJ, de Filippis R, Ayesa-Arriola R, González-Vivas C, Setién-Suero E, Verdolini N, Sanjuán J, Radua J, Crespo-Facorro B. Neuroimaging correlates of insight in non-affective psychosis: A systematic review and meta-analysis. REVISTA DE PSIQUIATRIA Y SALUD MENTAL 2021; 15:S1888-9891(21)00067-7. [PMID: 34271162 DOI: 10.1016/j.rpsm.2021.07.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 06/28/2021] [Accepted: 07/01/2021] [Indexed: 12/22/2022]
Abstract
OBJECTIVE Neurological correlates of impaired insight in non-affective psychosis remain unclear. This study aimed to review and meta-analyze the studies assessing the grey matter volumetric correlates of impaired insight in non-affective psychosis. METHODS This study consisted of a systematic review of 23 studies, and a meta-analysis with SDM-PSI of the 11 studies that were whole-brain and reported maps or peaks of correlation of studies investigating the grey matter volumetric correlates of insight assessments of non-affective psychosis, PubMed and OVID datasets were independently reviewed for articles reporting neuroimaging correlates of insight in non-affective psychosis. Quality assessment was realized following previous methodological approaches for the ABC quality assessment test of imaging studies, based on two main criteria: the statistical power and the multidimensional assessment of insight. Study peaks of correlation between grey matter volume and insight were used to recreate brain correlation maps. RESULTS A total of 418 records were identified through database searching. Of these records, twenty-three magnetic resonance imaging (MRI) studies that used different insight scales were included. The quality of the evidence was high in 11 studies, moderate in nine, and low in three. Patients with reduced insight showed decreases in the frontal, temporal (specifically in superior temporal gyrus), precuneus, cingulate, insula, and occipital lobes cortical grey matter volume. The meta-analysis indicated a positive correlation between grey matter volume and insight in the right insula (i.e., the smaller the grey matter, the lower the insight). CONCLUSION Several brain areas might be involved in impaired insight in patients with non-affective psychoses. The methodologies employed, such as the applied insight scales, may have contributed to the considerable discrepancies in the findings.
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Affiliation(s)
- Pau Soldevila-Matías
- Department of Basic Psychology, Faculty of Psychology, University of Valencia, Valencia, Spain; Research Institute of Clinic University Hospital of Valencia (INCLIVA), Valencia, Spain; National Reference Center for Psychosocial Care for People with Serious Mental Disorder (CREAP), Valencia, Spain
| | - Georgios Schoretsanitis
- The Zucker Hillside Hospital, Psychiatry Research, Northwell Health, Glen Oaks, New York, USA
| | - Diana Tordesillas-Gutierrez
- Marqués de Valdecilla University Hospital, Department of Radiology, IDIVAL, Santander, Spain; Marqués de Valdecilla University Hospital, Department of Psychiatry, School of Medicine, University of Cantabria, IDIVAL, Santander, Spain; CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain.
| | - Manuel J Cuesta
- Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Renato de Filippis
- The Zucker Hillside Hospital, Psychiatry Research, Northwell Health, Glen Oaks, New York, USA; Psychiatry Unit Department of Health Sciences, University Magna Graecia of Catanzaro, Catanzaro 88100, Italy
| | - Rosa Ayesa-Arriola
- Marqués de Valdecilla University Hospital, Department of Radiology, IDIVAL, Santander, Spain; Marqués de Valdecilla University Hospital, Department of Psychiatry, School of Medicine, University of Cantabria, IDIVAL, Santander, Spain; CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain
| | - Carlos González-Vivas
- Research Institute of Clinic University Hospital of Valencia (INCLIVA), Valencia, Spain
| | - Esther Setién-Suero
- Marqués de Valdecilla University Hospital, Department of Radiology, IDIVAL, Santander, Spain; Marqués de Valdecilla University Hospital, Department of Psychiatry, School of Medicine, University of Cantabria, IDIVAL, Santander, Spain; CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain
| | - Norma Verdolini
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, 170 Villarroel Street, 12-0, 08036 Barcelona, Spain
| | - Julio Sanjuán
- Research Institute of Clinic University Hospital of Valencia (INCLIVA), Valencia, Spain; CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain; Department of Psychiatric, University of Valencia, School of Medicine, Valencia, Spain
| | - Joaquim Radua
- CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Centre for Psychiatric Research and Education, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Benedicto Crespo-Facorro
- Marqués de Valdecilla University Hospital, Department of Radiology, IDIVAL, Santander, Spain; Marqués de Valdecilla University Hospital, Department of Psychiatry, School of Medicine, University of Cantabria, IDIVAL, Santander, Spain; CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain
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7
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Rodriguez-Perez N, Ayesa-Arriola R, Ortiz-García de la Foz V, Setien-Suero E, Tordesillas-Gutierrez D, Crespo-Facorro B. Long term cortical thickness changes after a first episode of non- affective psychosis: The 10 year follow-up of the PAFIP cohort. Prog Neuropsychopharmacol Biol Psychiatry 2021; 108:110180. [PMID: 33212193 DOI: 10.1016/j.pnpbp.2020.110180] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Revised: 10/28/2020] [Accepted: 11/12/2020] [Indexed: 12/25/2022]
Abstract
Cortical thickness has been widely studied in individuals with schizophrenia and, in particular, first-episode psychosis. Abnormalities have been described, although there is, to date, a lack of consensus regarding changes across time and correlations with clinical and functional outcomes of the illness. One hundred and twenty-three first-episode psychosis patients and 74 healthy volunteers were subjected to magnetic resonance imaging scans and clinical and functional assessments by different scales at four consecutive visits during a 10 year follow-up period. Linear mixed effects models were applied to our data to compute cortical thickness changes over time in (1) schizophrenia patients versus healthy controls and (2) in patients with good versus poor functional outcome. The associations between cortical thickness percentage changes and clinical and functional status at 10 years were also assessed. The patients presented a thinner cortex than the controls at baseline (b's = -0.06; q ≤ 0.00023) with non-significant coefficients for the interaction term (follow-up time x group) (b's = -0.001; q ≥ 0.681). Poor functioning patients presented statistically significant coefficients for the interaction term (follow-up time x functionality) (left: b = -0.005, q = 0.019; right: b = -0.005, q = 0.022). In contrast, no correlations were found between cortical thickness measurements and clinical variables at 10 years. Overall, there were widespread thickness anomalies in first-episode psychosis patients across cortical regions that remained stable across time. Progressive thickness changes were related to patient functional outcomes, with progressive and steeper cortical thinning in patients with worse functional outcomes and a stabilization in those with better outcomes.
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Affiliation(s)
- Noelia Rodriguez-Perez
- Hospital Universitario Virgen del Rocío, Department of Psychiatry, Instituto de Investigación Sanitaria de Sevilla, IBiS, Sevilla, Spain; CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Madrid, Spain.
| | - Rosa Ayesa-Arriola
- University Hospital Marqués de Valdecilla, IDIVAL, Department of Psychiatry, School of Medicine, University of Cantabria, Santander, Spain
| | - Victor Ortiz-García de la Foz
- University Hospital Marqués de Valdecilla, IDIVAL, Department of Psychiatry, School of Medicine, University of Cantabria, Santander, Spain
| | - Esther Setien-Suero
- University Hospital Marqués de Valdecilla, IDIVAL, Department of Psychiatry, School of Medicine, University of Cantabria, Santander, Spain
| | - Diana Tordesillas-Gutierrez
- CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Madrid, Spain; Neuroimaging Unit, Technological Facilities, IDIVAL, Santander, Spain
| | - Benedicto Crespo-Facorro
- Hospital Universitario Virgen del Rocío, Department of Psychiatry, Instituto de Investigación Sanitaria de Sevilla, IBiS, Sevilla, Spain; CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Madrid, Spain; University of Sevilla, Sevilla, Spain.
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8
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Akudjedu TN, Tronchin G, McInerney S, Scanlon C, Kenney JPM, McFarland J, Barker GJ, McCarthy P, Cannon DM, McDonald C, Hallahan B. Progression of neuroanatomical abnormalities after first-episode of psychosis: A 3-year longitudinal sMRI study. J Psychiatr Res 2020; 130:137-151. [PMID: 32818662 DOI: 10.1016/j.jpsychires.2020.07.034] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Revised: 07/09/2020] [Accepted: 07/22/2020] [Indexed: 02/08/2023]
Abstract
The location, extent and progression of longitudinal morphometric changes after first-episode of psychosis (FEP) remains unclear. We investigated ventricular and cortico-subcortical regions over a 3-year period in FEP patients compared with healthy controls. High resolution 1.5T T1-weighted MR images were obtained at baseline from 28 FEP patients at presentation and 28 controls, and again after 3-years. The longitudinal FreeSurfer pipeline (v.5.3.0) was used for regional volumetric and cortical reconstruction image analyses. Repeated-measures ANCOVA and vertex-wise linear regression analyses compared progressive changes between groups in subcortical structures and cortical thickness respectively. Compared with controls, patients displayed progressively reduced volume of the caudate [F (1,51)=5.86, p=0.02, Hedges' g=0.66], putamen [F (1,51)=6.06, p=0.02, g=0.67], thalamus [F (1,51)=6.99, p=0.01, g=0.72] and increased right lateral ventricular volume [F (1, 51)=4.03, p=0.05], and significantly increased rate of cortical thinning [F (1,52)=5.11, p=0.028)] at a mean difference of 0.84% [95% CI (0.10, 1.59)] in the left lateral orbitofrontal region over the 3-year period. In patients, greater reduction in putamen volume over time was associated with lower cumulative antipsychotic medication dose (r=0.49, p=0.01), and increasing lateral ventricular volume over time was associated with worsening negative symptoms (r=0.41, p=0.04) and poorer global functioning (r= -0.41, p=0.04). This study demonstrates localised progressive structural abnormalities in the cortico-striato-thalamo-cortical circuit after the onset of psychosis, with increasing ventricular volume noted as a neuroanatomical marker of poorer clinical and functional outcome.
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Affiliation(s)
- Theophilus N Akudjedu
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91TK33, Galway, Ireland; Institute of Medical Imaging & Visualisation, Department of Medical Science and Public Health, Faculty of Health and Social Sciences, Bournemouth University, Bournemouth, UK.
| | - Giulia Tronchin
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91TK33, Galway, Ireland
| | - Shane McInerney
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91TK33, Galway, Ireland; Department of Psychiatry, University of Toronto, 250 College Street, 8th Floor, Toronto, Canada
| | - Cathy Scanlon
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91TK33, Galway, Ireland
| | - Joanne P M Kenney
- Trinity College Institute of Neuroscience and School of Psychology, Trinity College Dublin, Dublin, Ireland
| | - John McFarland
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91TK33, Galway, Ireland
| | - Gareth J Barker
- King's College London, Institute of Psychiatry, Psychology & Neuroscience, Department of Neuroimaging, London, UK
| | - Peter McCarthy
- Department of Radiology, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91TK33, Galway, Ireland
| | - Dara M Cannon
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91TK33, Galway, Ireland
| | - Colm McDonald
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91TK33, Galway, Ireland
| | - Brian Hallahan
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91TK33, Galway, Ireland
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9
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Pijnenborg GHM, Larabi DI, Xu P, Hasson-Ohayon I, de Vos AE, Ćurčić-Blake B, Aleman A, Van der Meer L. Brain areas associated with clinical and cognitive insight in psychotic disorders: A systematic review and meta-analysis. Neurosci Biobehav Rev 2020; 116:301-336. [PMID: 32569706 DOI: 10.1016/j.neubiorev.2020.06.022] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Revised: 03/04/2020] [Accepted: 06/13/2020] [Indexed: 02/06/2023]
Abstract
In the past years, ample interest in brain abnormalities related to clinical and cognitive insight in psychosis has contributed several neuroimaging studies to the literature. In the current study, published findings on the neural substrates of clinical and cognitive insight in psychosis are integrated by performing a systematic review and meta-analysis. Coordinate-based meta-analyses were performed with the parametric coordinate-based meta-analysis approach, non-coordinate based meta-analyses were conducted with the metafor package in R. Papers that could not be included in the meta-analyses were systematically reviewed. Thirty-seven studies were retrieved, of which 21 studies were included in meta-analyses. Poorer clinical insight was related to smaller whole brain gray and white matter volume and gray matter volume of the frontal gyri. Cognitive insight was predominantly positively associated with structure and function of the hippocampus and ventrolateral prefrontal cortex. Impaired clinical insight is not associated with abnormalities of isolated brain regions, but with spatially diffuse global and frontal abnormalities suggesting it might rely on a range of cognitive and self-evaluative processes. Cognitive insight is associated with specific areas and appears to rely more on retrieving and integrating self-related information.
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Affiliation(s)
- G H M Pijnenborg
- Department of Psychotic Disorders, GGZ Drenthe, Dennenweg 9, 9404 LA, Assen, the Netherlands; Department of Clinical and Developmental Neuropsychology and Experimental Psychopathology, University of Groningen, Grote Kruisstraat 2/1, 9712 TS, Groningen, the Netherlands.
| | - D I Larabi
- University of Groningen, University Medical Center Groningen, Department of Biomedical Sciences of Cells and Systems, Cognitive Neuroscience Center, A. Deusinglaan 2, 9713 AW, Groningen, the Netherlands; Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany; Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - P Xu
- Shenzhen Key Laboratory of Affective and Social Neuroscience, Center for Brain Disorders and Cognitive Sciences, Shenzhen University, Shenzhen 518060, China; Center for Neuroimaging, Shenzhen Institute of Neuroscience, Shenzhen 518054, China; Great Bay Neuroscience and Technology Research Institute (Hong Kong), Kwun Tong, Hong Kong
| | - I Hasson-Ohayon
- Department of Psychology, Bar-Ilan University, Ramat-Gan 5290002, Israel
| | - A E de Vos
- Department of Psychotic Disorders, GGZ Drenthe, Dennenweg 9, 9404 LA, Assen, the Netherlands
| | - B Ćurčić-Blake
- University of Groningen, University Medical Center Groningen, Department of Biomedical Sciences of Cells and Systems, Cognitive Neuroscience Center, A. Deusinglaan 2, 9713 AW, Groningen, the Netherlands
| | - A Aleman
- Department of Psychotic Disorders, GGZ Drenthe, Dennenweg 9, 9404 LA, Assen, the Netherlands; University of Groningen, University Medical Center Groningen, Department of Biomedical Sciences of Cells and Systems, Cognitive Neuroscience Center, A. Deusinglaan 2, 9713 AW, Groningen, the Netherlands; Shenzhen Key Laboratory of Affective and Social Neuroscience, Center for Brain Disorders and Cognitive Sciences, Shenzhen University, Shenzhen 518060, China
| | - L Van der Meer
- Department of Rehabilitation, Lentis Mental Health Care, PO box 128, 9470 KA, Zuidlaren, the Netherlands; Department of Clinical and Developmental Neuropsychology, University of Groningen, Grote Kruisstraat 2/1, 9712 TS, Groningen, the Netherlands
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10
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Liu W, Gan J, Fan J, Zheng H, Li S, Chan RCK, Tan C, Zhu X. Associations of cortical thickness, surface area and subcortical volumes with insight in drug-naïve adults with obsessive-compulsive disorder. NEUROIMAGE-CLINICAL 2019; 24:102037. [PMID: 31704545 PMCID: PMC6978222 DOI: 10.1016/j.nicl.2019.102037] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Revised: 09/30/2019] [Accepted: 10/15/2019] [Indexed: 12/27/2022]
Abstract
• We first used the SBM method to explore the neuroanatomical basis underlying insight in OCD. • OCD-GI and OCD-PI displayed mostly shared, but partly distinct brain structural alterations. • Decreased cortical thickness in the left dmPFC, the left ACC and the right lateral parietal cortex was associated with poorer insight. • The potential effect of other clinical variables on the results has been ruled out.
Poor insight in obsessive-compulsive disorder (OCD) is associated with several adverse clinical outcomes. However, the neurobiological basis of this insight deficit is not clearly understood. The present study thus aimed to investigate associations of cortical thickness, cortical surface area and subcortical volumes with insight in a sample of drug-naïve adults with OCD. Forty-seven OCD patients and 42 healthy controls (HCs) underwent MRI scanning, depression and anxiety assessments. The Brown Assessment of Beliefs Scale (BABS) measured insight levels and patients were divided into two groups: poor insight (OCD-PI; n = 21), and good insight (OCD-GI; n = 26). Cortical thickness and surface area between groups were compared with whole-brain exploratory vertex-by-vertex analyses, while subcortical volumes were compared on a structure-by-structure basis. Partial correlation analyses were then performed to assess associations between regional cortical and subcortical measures and insight levels. OCD-GI and OCD-PI groups displayed partly shared, but also partly distinct brain structural alterations. Strikingly, OCD-PI showed decreased cortical thickness in the left superior frontal gyrus, left anterior cingulate cortex (ACC) and right inferior parietal gyrus, compared to both OCD-GI and HCs. Average cortical thickness extracted from these areas was further negatively correlated with BABS scores in the OCD-PI patients. Our findings suggest that poor insight in patients with OCD may have a neural substrate involving the left medial frontal and the right inferior parietal cortices.
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Affiliation(s)
- Wanting Liu
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China; Medical Psychological Institute of Central South University, Changsha, Hunan, China
| | - Jun Gan
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jie Fan
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Hong Zheng
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Sihui Li
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Changlian Tan
- Department of Radiology, Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
| | - Xiongzhao Zhu
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China; Medical Psychological Institute of Central South University, Changsha, Hunan, China.
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Sauvé G, Kline RB, Shah JL, Joober R, Malla A, Brodeur MB, Lepage M. Cognitive capacity similarly predicts insight into symptoms in first- and multiple-episode psychosis. Schizophr Res 2019; 206:236-243. [PMID: 30514643 DOI: 10.1016/j.schres.2018.11.013] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Revised: 09/03/2018] [Accepted: 11/12/2018] [Indexed: 10/27/2022]
Abstract
BACKGROUND Lack of insight is a frequent characteristic of psychotic disorders, both in patients who recently experienced a first episode of psychosis (FEP) and those who experience recurrent multiple episodes (MEP). Insight is a multifaceted construct: its clinical form notably includes the unawareness of being ill, of symptoms, and of the need for treatment. Cognitive capacity is among the key determinants of insight into symptoms, but less is known about whether stage of illness (FEP vs. MEP) moderates this association. METHODS Our aim is to evaluate the association between cognitive capacity and symptom unawareness using structural equation modeling and moderated multiple regression. A total of 193 FEP and MEP patients were assessed using the CogState battery and the Scale to Assess Unawareness of Mental Disorder. RESULTS Analyses suggest that cognitive capacity accounts for a relatively small proportion of the total variation in symptom unawareness (6.4%). There was no evidence to suggest a moderating effect of stage of illness on this association. CONCLUSIONS The effect of general cognitive capacity on symptom unawareness is relatively small, and this basic relation was unrelated to stage of illness. It is possible that stage of illness could moderate this association only for certain facets of insight not assessed in this study (e.g., unawareness of the need for treatment).
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Affiliation(s)
- Geneviève Sauvé
- Douglas Mental Health University Institute, 6875 LaSalle Blvd, Verdun, Quebec H4H 1R3, Canada; Department of Psychiatry, McGill University, 1033 Pine Avenue West, Montreal, Quebec H3A 1A1, Canada.
| | - Rex B Kline
- Department of Psychology, Concordia University, 7141 Sherbrooke West, Montreal, Quebec H4B 1R6, Canada.
| | - Jai L Shah
- Douglas Mental Health University Institute, 6875 LaSalle Blvd, Verdun, Quebec H4H 1R3, Canada; Department of Psychiatry, McGill University, 1033 Pine Avenue West, Montreal, Quebec H3A 1A1, Canada.
| | - Ridha Joober
- Douglas Mental Health University Institute, 6875 LaSalle Blvd, Verdun, Quebec H4H 1R3, Canada; Department of Psychiatry, McGill University, 1033 Pine Avenue West, Montreal, Quebec H3A 1A1, Canada.
| | - Ashok Malla
- Douglas Mental Health University Institute, 6875 LaSalle Blvd, Verdun, Quebec H4H 1R3, Canada; Department of Psychiatry, McGill University, 1033 Pine Avenue West, Montreal, Quebec H3A 1A1, Canada.
| | - Mathieu B Brodeur
- Douglas Mental Health University Institute, 6875 LaSalle Blvd, Verdun, Quebec H4H 1R3, Canada; Department of Psychiatry, McGill University, 1033 Pine Avenue West, Montreal, Quebec H3A 1A1, Canada.
| | - Martin Lepage
- Douglas Mental Health University Institute, 6875 LaSalle Blvd, Verdun, Quebec H4H 1R3, Canada; Department of Psychiatry, McGill University, 1033 Pine Avenue West, Montreal, Quebec H3A 1A1, Canada.
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12
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Clarifying associations between cortical thickness, subcortical structures, and a comprehensive assessment of clinical insight in enduring schizophrenia. Schizophr Res 2019; 204:245-252. [PMID: 30150023 DOI: 10.1016/j.schres.2018.08.024] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Revised: 07/31/2018] [Accepted: 08/13/2018] [Indexed: 12/24/2022]
Abstract
BACKGROUND The relationship between poor insight and less favorable outcomes in schizophrenia has promoted research efforts to understand its neurobiological basis. Thus far, research on neural correlates of insight has been constrained by small samples, incomplete insight assessments, and a focus on frontal lobes. The purpose of this study was to examine associations of cortical thickness and subcortical volumes, with a comprehensive assessment of clinical insight, in a large sample of enduring schizophrenia patients. METHODS Two dimensions of clinical insight previously identified by a factor analysis of 4 insight assessments were used: Awareness of Illness and Need for Treatment (AINT) and Awareness of Symptoms and Consequences (ASC). T1-weighted structural images were acquired on a 3 T MRI scanner for 110 schizophrenia patients and 69 healthy controls. MR images were processed using CIVET (version 2.0) and MAGeT and quality controlled pre and post-processing. Whole-brain and region-of-interest, vertex-wise linear models were applied between cortical thickness, and levels of AINT and ASC. Partial correlations were conducted between volumes of the amygdala, thalamus, striatum, and hippocampus and insight levels. RESULTS No significant associations between both insight factors and cortical thickness were observed. Moreover, no significant associations emerged between subcortical volumes and both insight factors. CONCLUSIONS These results do not replicate previous findings obtained with smaller samples using single-item measures of insight into illness, suggesting a limited role of neurobiological factors and a greater role of psychological processes in explaining levels of clinical insight.
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13
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de Avila RCS, do Nascimento LG, Porto RLDM, Fontenelle L, Filho ECM, Brakoulias V, Ferrão YA. Level of Insight in Patients With Obsessive-Compulsive Disorder: An Exploratory Comparative Study Between Patients With "Good Insight" and "Poor Insight". Front Psychiatry 2019; 10:413. [PMID: 31333508 PMCID: PMC6619338 DOI: 10.3389/fpsyt.2019.00413] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2019] [Accepted: 05/24/2019] [Indexed: 12/17/2022] Open
Abstract
Introduction: Insight may be defined as the ability to perceive and evaluate external reality and to separate it from its subjective aspects. It also refers to the ability to self-assess difficulties and personal qualities. Insight may be a predictor of success in the treatment of obsessive-compulsive disorder (OCD), so that individuals with poor insight tend to become refractory to treatment. The objective of this study is to investigate factors associated with poor insight in individuals with OCD. Methods: This cross-sectional exploratory study used the Brown Belief Assessment Scale as a parameter for the creation of the comparison groups: individuals who obtained null scores (zero) composed the group with preserved or good insight (n = 148), and those with scores above the 75% percentile composed the group with poor insight (n = 124); those with intermediate scores were excluded. Sociodemographic characteristics and clinical and psychopathological aspects, intrinsic and extrinsic to the typical symptoms of OCD, were compared in a univariate analysis. A logistic regression was used to determine which factors associated with critical judgment remained significant. Results: Individuals in the poor insight group differed from those with good insight in regard to: more prevalent use of neuroleptics (p = 0.05); higher untreated time interval (p < 0.001); higher total Yale-Brown obsessive-compulsive scale score and the obsessions and compulsions factors (all factors with p < 0.001); higher dimensional Yale-Brown obsessive-compulsive scale total and dimensional scores (p from 0.04 to 0.001); higher prevalence of contamination/cleaning (p = 0.006) and hoarding (p < 0.001) symptoms dimensions; more prevalent sensory phenomena (p = 0.023); higher levels of depression (p = 0.007); and more prevalent comorbidity with bipolar affective disorder (p = 0.05) and post-traumatic stress disorder (PTSD) (p = 0.04). After analyzing the logistic regression, we conclude that the most important factors associated with poor insight are: the presence of any sensory phenomena (OR: 2.24), use of neuroleptics (OR: 1.66), and hoarding symptoms (OR: 1.15). Conclusion: The variability of insight in patients with OCD seems to be an important psychopathological characteristic in the differentiation of possible subtypes of OCD, since the poor insight is associated with sensory phenomena and greater use of neuroleptics, which makes it possible to conjecture the role of dopaminergic neurocircuits in the neurobiology of this disorder. In addition, there is also an association with the symptoms of hoarding content, admittedly one of the symptomatic contents with less response to conventional OCD treatments. Studies based on neurobiological aspects such as neuroimaging and neuropsychology may help to elucidate more consistently the role of insight in patients with OCD and the repercussions concerning available treatments.
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Affiliation(s)
- Richard Chuquel Silveira de Avila
- Programa de Pós-Graduação em Ciências da Saúde, Universidade Federal de Ciências da Saúde de Porto Alegre (UFCSPA), Porto Alegre, Brazil
| | - Laura Gratsch do Nascimento
- Departamento de Psicologia, Universidade Federal de Ciências da Saúde de Porto Alegre (UFCSPA), Porto Alegre, Brazil
| | - Rafaella Landell de Moura Porto
- Programa de Pós-Graduação em Ciências da Saúde, Universidade Federal de Ciências da Saúde de Porto Alegre (UFCSPA), Porto Alegre, Brazil
| | - Leonardo Fontenelle
- Departamento de Psiquiatria, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | | | - Vlasios Brakoulias
- School of Medicine of Western Sydney University, University of Sydney, Sydney, NSW, Australia
| | - Ygor Arzeno Ferrão
- Programa de Pós-Graduação em Ciências da Saúde, Universidade Federal de Ciências da Saúde de Porto Alegre (UFCSPA), Porto Alegre, Brazil
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