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Otte ML, Schmitgen MM, Wolf ND, Kubera KM, Calhoun VD, Fritze S, Geiger LS, Tost H, Seidl UW, Meyer-Lindenberg A, Hirjak D, Wolf RC. Structure/function interrelationships and illness insight in patients with schizophrenia: a multimodal MRI data fusion study. Eur Arch Psychiatry Clin Neurosci 2023; 273:1703-1713. [PMID: 36806586 PMCID: PMC10713778 DOI: 10.1007/s00406-023-01566-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Accepted: 01/23/2023] [Indexed: 02/23/2023]
Abstract
Illness insight in schizophrenia (SZ) has an important impact on treatment outcome, integration into society and can vary over the course of the disorder. To deal with and treat reduced or absent illness insight, we need to better understand its functional and structural correlates. Previous studies showed regionally abnormal brain volume in brain areas related to cognitive control and self-reference. However, little is known about associations between illness insight and structural and functional network strength in patients with SZ. This study employed a cross-sectional design to examine structural and functional differences between patients with SZ (n = 74) and healthy controls (n = 47) using structural and resting-state functional magnetic resonance imaging (MRI). Voxel-based morphometry was performed on structural data, and the amplitude of low frequency fluctuations (ALFF) was calculated for functional data. To investigate abnormal structure/function interrelationships and their association with illness insight, we used parallel independent component analysis (pICA). Significant group (SZ vs. HC) differences were detected in distinct structural and functional networks, predominantly comprising frontoparietal, temporal and cerebellar regions. Significant associations were found between illness insight and two distinct structural networks comprising frontoparietal (pre- and postcentral gyrus, inferior parietal lobule, thalamus, and precuneus) and posterior cortical regions (cuneus, precuneus, lingual, posterior cingulate, and middle occipital gyrus). Finally, we found a significant relationship between illness insight and functional network comprising temporal regions (superior temporal gyrus). This study suggests that aberrant structural and functional integrity of neural systems subserving cognitive control, memory and self-reference are tightly coupled to illness insight in SZ.
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Affiliation(s)
- Marie-Luise Otte
- Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Vosstrasse 4, 69115, Heidelberg, Germany
| | - Mike M Schmitgen
- Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Vosstrasse 4, 69115, Heidelberg, Germany
| | - Nadine D Wolf
- Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Vosstrasse 4, 69115, Heidelberg, Germany
| | - Katharina M Kubera
- Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Vosstrasse 4, 69115, Heidelberg, Germany
| | - Vince D Calhoun
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology and Emory University, Atlanta, GA, USA
| | - Stefan Fritze
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Lena S Geiger
- Department of Psychiatry and Psychotherapy, Research Group Systems Neuroscience in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Heike Tost
- Department of Psychiatry and Psychotherapy, Research Group Systems Neuroscience in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Ulrich W Seidl
- Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Vosstrasse 4, 69115, Heidelberg, Germany
- Department of Psychiatry and Psychotherapy, SHG-Kliniken Saarbrücken, Saarbrücken, Germany
| | - Andreas Meyer-Lindenberg
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Psychiatry and Psychotherapy, Research Group Systems Neuroscience in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Robert Christian Wolf
- Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Vosstrasse 4, 69115, Heidelberg, Germany.
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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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Kang Y, Zhang Y, Huang K, Wang Z. The genetic influence of the DRD3 rs6280 polymorphism (Ser9Gly) on functional connectivity and gray matter volume of the hippocampus in patients with first-episode, drug-naïve schizophrenia. Behav Brain Res 2023; 437:114124. [PMID: 36154848 DOI: 10.1016/j.bbr.2022.114124] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Revised: 08/17/2022] [Accepted: 09/21/2022] [Indexed: 11/25/2022]
Abstract
The D3 dopamine receptor (DRD3) plays a major role in cognitive function and is a candidate gene for schizophrenia. DRD3 is widely distributed in the hippocampus, but whether there are potential associations between the rs6280 genotype, the hippocampus, and cognitive function in first-episode, drug-naïve (FES) patients and healthy controls (HCs) is still poorly understood. First, using functional and structural magnetic resonance imaging data, we calculated the gray matter volume (GMV) and functional connectivity (FC) of the hippocampus. Then, we examined the possible interaction effect of the DRD3 genotype and the disease on the FC and GMV of the hippocampus in 52 FES patients and 51 HCs. Finally, the correlation between the FC and GMV in the hippocampus, influenced by rs6280, and the cognitive performance of subjects was analyzed. A significant interaction effect of diagnostic group by genotype of rs6280 on the GMV of the left hippocampus was found, with lower GMV in FES patients that were C carriers compared with TT homozygotes; the opposite pattern was found in the genetic subgroups of HCs. In the FES group, C carriers performed significantly worse on reasoning and problem-solving tests than TT homozygotes. The left hippocampal GMV positively correlated with reasoning and problem-solving performance in TT homozygotes, but this correlation disappeared in FES patients that were C carriers and in genetic subgroups of HCs. Together, these results suggest that FES patients that are C carriers of rs6280 have lower GMV in the hippocampus, resulting in greater cognitive impairment.
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Affiliation(s)
- Yafei Kang
- Shaanxi Provincial Key Research Center of Child Mental and Behavioral Health, School of Psychology, Shaanxi Normal University, Xi'an, China
| | - Youming Zhang
- Department of Radiology, Xiangya Hospital, Central South University, Changsha, China
| | - Kexin Huang
- West China Biomedical Big Data Centre, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
| | - Zhenhong Wang
- Shaanxi Provincial Key Research Center of Child Mental and Behavioral Health, School of Psychology, Shaanxi Normal University, Xi'an, China.
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Relationships between cognitive performance, clinical insight and regional brain volumes in schizophrenia. SCHIZOPHRENIA 2022; 8:33. [PMID: 35853892 PMCID: PMC9261092 DOI: 10.1038/s41537-022-00243-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/08/2021] [Accepted: 02/23/2022] [Indexed: 11/22/2022]
Abstract
Impairments in cognitive performance are common in schizophrenia, and these contribute to poor awareness of symptoms and treatment (‘clinical insight’), which is an important predictor of functional outcome. Although relationships between cognitive impairment and reductions in regional brain volumes in patients are relatively well characterised, less is known about the brain structural correlates of clinical insight. To address this gap, we aimed to explore brain structural correlates of cognitive performance and clinical insight in the same sample. 108 patients with schizophrenia (SZH) and 94 age and gender-matched controls (CON) (from the Northwestern University Schizophrenia Data and Software Tool (NUSDAST) database) were included. SZH had smaller grey matter volume across most fronto-temporal regions and significantly poorer performance on all cognitive domains. Multiple regression showed that higher positive symptoms and poorer attention were significant predictors of insight in SZH; however, no significant correlations were seen between clinical insight and regional brain volumes. In contrast, symptomology did not contribute to cognitive performance, but robust positive relationships were found between regional grey matter volumes in fronto-temporal regions and cognitive performance (particularly executive function). Many of these appeared to be unique to SZH as they were not observed in CON. Findings suggest that while there exists a tight link between cognitive functioning and neuropathological processes affecting gross brain anatomy in SZH, this is not the case for clinical insight. Instead, clinical insight levels seem to be influenced by symptomology, attentional performance and other subject-specific variables.
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5
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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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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: 0.7] [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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Tronchin G, Akudjedu TN, Kenney JP, McInerney S, Scanlon C, McFarland J, McCarthy P, Cannon DM, Hallahan B, McDonald C. Cognitive and Clinical Predictors of Prefrontal Cortical Thickness Change Following First-Episode of Psychosis. Psychiatry Res Neuroimaging 2020; 302:111100. [PMID: 32464535 DOI: 10.1016/j.pscychresns.2020.111100] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2019] [Revised: 04/17/2020] [Accepted: 04/20/2020] [Indexed: 12/11/2022]
Abstract
The association of neuroanatomical progression with cognitive and clinical deterioration after first-episode of psychosis remains uncertain. This longitudinal study aims to assess whether i)impaired executive functioning and emotional intelligence at first presentation are associated with progressive prefrontal and orbitofrontal cortical thinning ii)negative symptom severity is linked to progressive prefrontal cortical thinning. 1.5T MRI images were acquired at baseline and after 3.5 years for 20 individuals with first-episode psychosis and 18 controls. The longitudinal pipeline of Freesurfer was employed to parcellate prefrontal cortex at two time points. Baseline cognitive performance was compared between diagnostic groups using MANCOVA. Partial correlations investigated relationships between cognition and negative symptoms at baseline and cortical thickness change over time. Patients displayed poorer performance than controls at baseline in working memory, reasoning/problem solving and emotional intelligence. In patients, loss of prefrontal and orbitofrontal thickness over time was predicted by impaired working memory and emotional intelligence respectively at baseline. Moreover, exploratory analyses revealed that the worsening of negative symptoms over time was significantly related to prefrontal cortical thinning. Results indicate that specific cognitive deficits at the onset of psychotic illness are markers of progressive neuroanatomical deficits and that worsening of negative symptoms occurs with prefrontal thickness reduction as the illness progresses.
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Affiliation(s)
- Giulia Tronchin
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, School of Medicine, National University of Ireland Galway, H91TK33 Galway, Ireland.
| | - Theophilus N Akudjedu
- Faculty of Health & Social Science, Institute of Medical Imaging & Visualisation, Bournemouth University, Bournemouth, United Kingdom
| | - Joanne Pm Kenney
- Trinity College Institute of Neuroscience and School of Psychology, Trinity College Dublin, Dublin, Ireland
| | - Shane McInerney
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, School of Medicine, National University of Ireland Galway, H91TK33 Galway, Ireland
| | - Cathy Scanlon
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, School of Medicine, National University of Ireland Galway, H91TK33 Galway, Ireland
| | - John McFarland
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, School of Medicine, National University of Ireland Galway, H91TK33 Galway, Ireland
| | - Peter McCarthy
- Department of Radiology, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Dara M Cannon
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, School of Medicine, National University of Ireland Galway, H91TK33 Galway, Ireland
| | - Brian Hallahan
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, School of Medicine, National University of Ireland Galway, H91TK33 Galway, Ireland
| | - Colm McDonald
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, School of Medicine, National University of Ireland Galway, H91TK33 Galway, Ireland
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8
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Yang LH, Samuel S, Tay C, Cho Y. Promoting insight and recovery in the context of the "insight paradox". Schizophr Res 2020; 222:6-7. [PMID: 32461086 PMCID: PMC9296361 DOI: 10.1016/j.schres.2020.03.052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 03/22/2020] [Accepted: 03/24/2020] [Indexed: 11/24/2022]
Affiliation(s)
- Lawrence H. Yang
- New York University School of Global Public Health, New York, New York,Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York,Corresponding Author: Lawrence H. Yang, PhD, New York University School of Global Public Health, 715 Broadway, New York, NY 10003, USA, Mailman School of Public Health, Columbia University, 722 W 168th St, New York, NY 10032, USA, , Phone: 212-992-6334
| | - Shana Samuel
- Department of Psychology, Queens College, New York, New York
| | - Charisse Tay
- Department of Counseling and Clinical Psychology, Teachers College of Columbia University, New York, New York
| | - Young Cho
- New York State Psychiatric Institute, New York, New York
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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: 2.0] [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: 2.0] [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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11
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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: 2.4] [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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12
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Calvo A, Delvecchio G, Altamura AC, Soares JC, Brambilla P. Gray matter differences between affective and non-affective first episode psychosis: A review of Magnetic Resonance Imaging studies: Special Section on "Translational and Neuroscience Studies in Affective Disorders" Section Editor, Maria Nobile MD, PhD. This Section of JAD focuses on the relevance of translational and neuroscience studies in providing a better understanding of the neural basis of affective disorders. The main aim is to briefly summaries relevant research findings in clinical neuroscience with particular regards to specific innovative topics in mood and anxiety disorders. J Affect Disord 2019; 243:564-574. [PMID: 29625792 DOI: 10.1016/j.jad.2018.03.008] [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: 11/08/2017] [Revised: 01/22/2018] [Accepted: 03/14/2018] [Indexed: 12/23/2022]
Abstract
BACKGROUND Non-affective and affective psychoses are very common mental disorders. However, their neurobiological underpinnings are still poorly understood. Therefore, the goal of the present review was to evaluate structural Magnetic Resonance Imaging (MRI) studies exploring brain deficits in both non-affective (NA-FEP) and affective first episode psychosis (A-FEP). METHODS A bibliographic search on PUBMED of all MRI studies exploring gray matter (GM) differences between NA-FEP and A-FEP was conducted. RESULTS Overall, the results from the available evidence showed that the two diagnostic groups share common GM alterations in fronto-temporal regions and anterior cingulate cortex. In contrast, unique GM deficits have also been observed, with reductions in amygdala for A-FEP and in hippocampus and insula for NA-FEP. LIMITATIONS Few small MRI studies with heterogeneous methodology. CONCLUSIONS Although the evidences are far to be conclusive, they suggest the presence of common and distinct pattern of GM alterations in NA-FEP and A-FEP. Future larger longitudinal studies are needed to further characterize specific neural biomarkers in homogenous NA-FEP and A-FEP samples.
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Affiliation(s)
- A Calvo
- Faculty of Health Sciences, Universidad Internacional de la Rioja (UNIR), Spain.
| | - G Delvecchio
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - A C Altamura
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - J C Soares
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, TX, USA
| | - P Brambilla
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy; IRCCS "E. Medea" Scientific Institute, Bosisio Parini LC, Italy.
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Tordesillas-Gutierrez D, Ayesa-Arriola R, Delgado-Alvarado M, Robinson JL, Lopez-Morinigo J, Pujol J, Dominguez-Ballesteros ME, David AS, Crespo-Facorro B. The right occipital lobe and poor insight in first-episode psychosis. PLoS One 2018; 13:e0197715. [PMID: 29856773 PMCID: PMC5983855 DOI: 10.1371/journal.pone.0197715] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Accepted: 05/02/2018] [Indexed: 12/12/2022] Open
Abstract
Lack of insight is a core feature of non-affective psychosis and has been associated with poorer outcomes. Brain abnormalities underlying lack of insight have been suggested, mostly in the frontal lobe, although previous research showed mixed results. We used a voxel-based morphometry (VBM) analysis in 108 first-episode non-affective psychosis patients to investigate the pattern of brain structural abnormalities related to lack of insight. In addition, 77 healthy volunteers were compared with the patients classified as having poor and good insight. The shortened version of the Scale to Assess Unawareness of Mental Disorder was used to evaluate insight. Patients with poor insight (n = 68) compared with patients with good insight (n = 40) showed a single significant cluster (kc = 5834; PcFWE = 0.001) of reduced grey matter volume (GMV) in the right occipital lobe extending to its lateral and medial surfaces, the cuneus, and the middle temporal gyrus. In addition, GMV at this cluster showed a negative correlation with the score of the SUMD (r = -0.305; p = 0.001). When comparing patients with poor insight with healthy subjects overall reductions of GMV were found, mainly in frontal and occipital lobes. Hence, poor insight in non-affective psychosis seems to be associated with specific brain abnormalities in the right occipital and temporal cortical regions. Dysfunction in any combination of these areas may contribute to lack of insight in non-affective psychosis. Specifically, the 'right' hemisphere dysfunction underlying impaired insight in our sample is consistent with previously reported similarities between lack of insight in psychosis and anosognosia in neurological disorders.
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Affiliation(s)
- Diana Tordesillas-Gutierrez
- Neuroimaging Unit, Technological Facilities,Valdecilla Biomedical Research Institute IDIVAL, Santander, Cantabria, Spain
- CIBERSAM, Centro Investigación Biomédica en Red de Salud Mental, Santander, Spain
- * E-mail:
| | - Rosa Ayesa-Arriola
- CIBERSAM, Centro Investigación Biomédica en Red de Salud Mental, Santander, Spain
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria-IDIVAL, Santander, Spain
| | - Manuel Delgado-Alvarado
- Neuroimaging Unit, Technological Facilities,Valdecilla Biomedical Research Institute IDIVAL, Santander, Cantabria, Spain
| | - Jennifer L. Robinson
- Department of Psychology, Auburn University, Auburn, Alabama, United States of America
- Department of Electrical and Computer Engineering, Auburn University, Auburn University Magnetic Resonance Imaging Research Center, Auburn, Alabama, United States of America
- Department of Kinesiology, Auburn University, Auburn, Alabama, United States of America
| | - Javier Lopez-Morinigo
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Jesus Pujol
- CIBERSAM, Centro Investigación Biomédica en Red de Salud Mental, Santander, Spain
- MRI Research Unit, Hospital del Mar, Barcelona, Spain
| | | | - Anthony S. David
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
| | - Benedicto Crespo-Facorro
- CIBERSAM, Centro Investigación Biomédica en Red de Salud Mental, Santander, Spain
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria-IDIVAL, Santander, Spain
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14
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Clark SV, Mittal VA, Bernard JA, Ahmadi A, King TZ, Turner JA. Stronger default mode network connectivity is associated with poorer clinical insight in youth at ultra high-risk for psychotic disorders. Schizophr Res 2018; 193:244-250. [PMID: 28688741 PMCID: PMC5756141 DOI: 10.1016/j.schres.2017.06.043] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2017] [Revised: 06/09/2017] [Accepted: 06/22/2017] [Indexed: 12/22/2022]
Abstract
Impaired clinical insight (CI) is a common symptom of psychotic disorders and a promising treatment target. However, to date, our understanding of how variability in CI is tied to underlying brain dysfunction in the clinical high-risk period is limited. Developing a stronger conception of this link will be a vital first step for efforts to determine if CI can serve as a useful prognostic indicator. The current study investigated whether variability in CI is related to major brain networks in adolescents and young adults at ultra high-risk (UHR) of developing psychosis. Thirty-five UHR youth were administered structured clinical interviews as well as an assessment for CI and underwent resting-state magnetic resonance imaging scans. Functional connectivity was calculated in the default mode network (DMN) and fronto-parietal network (FPN), two major networks that are dysfunctional in psychosis and are hypothesized to affect insight. Greater DMN connectivity between the posterior cingulate/precuneus and ventromedial prefrontal cortex (DMN) was related to poorer CI (R2=0.399). There were no significant relationships between insight and the FPN. This is the first study to relate a major brain network to clinical insight before the onset of psychosis. Findings are consistent with evidence if a hyperconnected DMN in schizophrenia and UHR, and similar to a previous study of insight and connectivity in schizophrenia. Results suggest that a strongly connected DMN may be related to poor self-awareness of subthreshold psychotic symptoms in UHR adolescents and young adults.
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Affiliation(s)
- Sarah V Clark
- Georgia State University, Department of Psychology, Atlanta, GA, USA.
| | - Vijay A Mittal
- Northwestern University, Department of Psychology, Evanston, Chicago, IL, USA; Northwestern University, Department of Psychiatry, Evanston, Chicago, IL, USA; Northwestern University, Institute for Policy Research, Evanston, Chicago, IL, USA; Northwestern University, Department of Medical Social Sciences, Evanston, Chicago, IL, USA
| | - Jessica A Bernard
- Texas A&M University, Department of Psychology, College Station, TX, USA
| | - Aral Ahmadi
- Georgia State University, Department of Psychology, Atlanta, GA, USA
| | - Tricia Z King
- Georgia State University, Department of Psychology, Atlanta, GA, USA
| | - Jessica A Turner
- Georgia State University, Department of Psychology, Atlanta, GA, USA; The Mind Research Network, Albuquerque, NM, USA
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Akudjedu TN, Nabulsi L, Makelyte M, Scanlon C, Hehir S, Casey H, Ambati S, Kenney J, O’Donoghue S, McDermott E, Kilmartin L, Dockery P, McDonald C, Hallahan B, Cannon DM. A comparative study of segmentation techniques for the quantification of brain subcortical volume. Brain Imaging Behav 2018; 12:1678-1695. [DOI: 10.1007/s11682-018-9835-y] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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16
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Kenney JPM, McPhilemy G, Scanlon C, Najt P, McInerney S, Arndt S, Scherz E, Byrne F, Leemans A, Jeurissen B, Hallahan B, McDonald C, Cannon DM. The Arcuate Fasciculus Network and Verbal Deficits in Psychosis. Transl Neurosci 2017; 8:117-126. [PMID: 29662701 PMCID: PMC5898602 DOI: 10.1515/tnsci-2017-0018] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2017] [Accepted: 10/10/2017] [Indexed: 01/12/2023] Open
Abstract
Background Verbal learning (VL) and fluency (VF) are prominent cognitive deficits in psychosis, of which the precise neuroanatomical contributions are not fully understood. We investigated the arcuate fasciculus (AF) and its associated cortical regions to identify structural abnormalities contributing to these verbal impairments in early stages of psychotic illness. Methods Twenty-six individuals with recent-onset psychosis and 27 healthy controls underwent cognitive testing (MATRICS Consensus Cognitive Battery) and structural/diffusion-weighted MRI. Bilaterally, AF anisotropy and cortical thickness, surface area and volume of seven cortical regions were investigated in relation to VL and VF performance in both groups. Results Reduced right superior temporal gyrus surface area and volume related to better VF in controls. In psychosis, greater right pars opercularis volume and reduced left lateralization of this region related to better VL, while greater right long AF fractional anisotropy and right pars orbitalis volume related to better VF, these findings not present in controls. Psychosis had reduced right pars orbitalis thickness compared to controls. Conclusion Anatomical substrates for normal processing of VL and VF appear altered in recent-onset psychosis. A possible aberrant role of the right hemisphere arcuate fasciculus and fronto-temporal cortical regions in psychosis may contribute to deficits in VL and VF.
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Affiliation(s)
- Joanne P M Kenney
- 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, H91 TK33, Galway, Ireland
| | - Genevieve McPhilemy
- 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, H91 TK33, Galway, Ireland
| | - 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, H91 TK33, Galway, Ireland
| | - Pablo Najt
- 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, H91 TK33, 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, H91 TK33, Galway, Ireland.,Departments of Psychiatry, St Michaels Hospital & University of Toronto, Toronto, Canada
| | - Sophia Arndt
- 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, H91 TK33, Galway, Ireland
| | - Elisabeth Scherz
- 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, H91 TK33, Galway, Ireland
| | - Fintan Byrne
- 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, H91 TK33, Galway, Ireland
| | - Alexander Leemans
- Images Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Ben Jeurissen
- iMinds-Vision Lab, University of Antwerp, Antwerp, Belgium
| | - 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, H91 TK33, 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, H91 TK33, 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, H91 TK33, Galway, Ireland
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Abstract
BACKGROUND Insight in schizophrenia is defined as awareness into illness, symptoms, and need for treatment and has long been associated with cognition, other psychopathological symptoms, and several adverse clinical and functional outcomes. However, the biological basis of insight is not clearly understood. OBJECTIVE The aim of this systematic review was to critically evaluate and summarize advances in the study of the biological basis of insight in schizophrenia and to identify gaps in this knowledge. METHODS A literature search of PubMed, CINAHL, PsycINFO, and EMBASE databases was conducted using search terms to identify articles relevant to the biology of insight in schizophrenia published in the last 6 years. Articles that focused on etiology of insight in schizophrenia and those that examined the neurobiology of insight in schizophrenia or psychoses were chosen for analysis. Articles on insight in conditions other than schizophrenia or psychoses and which did not investigate the neurobiological underpinnings of insight were excluded from the review. RESULTS Twenty-six articles met the inclusion criteria for this review. Of the 26 articles, 3 focused on cellular abnormalities and 23 were neuroimaging studies. Preliminary data identify the prefrontal cortex, cingulate cortex, and regions of the temporal and parietal lobe (precuneus, inferior parietal lobule) and hippocampus as the neural correlates of insight. DISCUSSION A growing body of literature attests to the neurobiological basis of insight in schizophrenia. Current evidence supports the neurobiological basis of insight in schizophrenia and identifies specific neural correlates for insight types and its dimensions. Further studies that examine the precise biological mechanisms of insight are needed to apply this knowledge to effective clinical intervention development.
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18
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Liu H, Li L, Shen L, Wang X, Hou Y, Zhao Z, Gu L, Mao J. Cavum septum pellucidum and first-episode psychosis: A meta-analysis. PLoS One 2017; 12:e0177715. [PMID: 28545119 PMCID: PMC5435239 DOI: 10.1371/journal.pone.0177715] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2016] [Accepted: 05/02/2017] [Indexed: 02/05/2023] Open
Abstract
Objectives To investigate the prevalence and changes of cavum septum pellucidum (CSP) in first-episode psychosis (FEP) patients. Methods Medline, Embase, and the Cochrane Central Register of Controlled Trials (CENTRAL) were searched to identify eligible studies comparing FEP patients and healthy controls from inception to Feb 29, 2016. Results Ten cross-sectional studies and three longitudinal studies reported in ten articles met our criteria. Our meta-analysis found no significant differences in the prevalence of either “any CSP” (OR = 1.41; 95% CI 0.90–2.20; p = 0.13; I2 = 52.7%) or “large CSP” (OR = 1.10; 95% CI 0.77–1.58; p = 0.59; I2 = 24.1%) between FEP patients and healthy controls. However, the heterogeneity analysis of the prevalence of “any CSP” suggested bias in outcome reporting. Conclusions The results based on current evidence suggest it is unclear whether “any CSP” is a risk factor for FEP due to the heterogeneity of the studies. There is insufficient evidence to support that “large CSP” is a possible risk factor for FEP.
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Affiliation(s)
- Hanwen Liu
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
- Internal Medicine Unit, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Ling Li
- Chinese Evidence-based Medicine Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Li Shen
- Department of Psychosomatic Medicine, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Xianliang Wang
- Cardiovascular Department, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Yazhu Hou
- Cardiovascular Department, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Zhiqiang Zhao
- Cardiovascular Department, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Lili Gu
- Department of Medical Administration, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Jingyuan Mao
- Internal Medicine Unit, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
- * E-mail:
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19
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Sapara A, Ffytche DH, Cooke MA, Williams SCR, Kumari V. Voxel-based magnetic resonance imaging investigation of poor and preserved clinical insight in people with schizophrenia. World J Psychiatry 2016; 6:311-321. [PMID: 27679770 PMCID: PMC5031931 DOI: 10.5498/wjp.v6.i3.311] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2016] [Accepted: 07/13/2016] [Indexed: 02/05/2023] Open
Abstract
AIM To define regional grey-matter abnormalities in schizophrenia patients with poor insight (Insight-), relative to patients with preserved clinical insight (Insight+), and healthy controls.
METHODS Forty stable schizophrenia outpatients (20 Insight- and 20 Insight+) and 20 healthy controls underwent whole brain magnetic resonance imaging (MRI). Insight in all patients was assessed using the Birchwood Insight Scale (BIS; a self-report measure). The two patient groups were pre-selected to match on most clinical and demographic parameters but, by design, they had markedly distinct BIS scores. Voxel-based morphometry employed in SPM8 was used to examine group differences in grey matter volumes across the whole brain.
RESULTS The three participant groups were comparable in age [F(2,57) = 0.34, P = 0.71] and the patient groups did not differ in age at illness onset [t(38) = 0.87, P = 0.39]. Insight- and Insight+ patient groups also did not differ in symptoms on the Positive and Negative Syndromes scale (PANSS): Positive symptoms [t(38) = 0.58, P = 0.57], negative symptoms [t(38) = 0.61, P = 0.55], general psychopathology [t(38) = 1.30, P = 0.20] and total PANSS scores [t(38) = 0.21, P = 0.84]. The two patient groups, as expected, varied significantly in the level of BIS-assessed insight [t(38) = 12.11, P < 0.001]. MRI results revealed lower fronto-temporal, parahippocampal, occipital and cerebellar grey matter volumes in Insight- patients, relative to Insight+ patients and healthy controls (for all clusters, family-wise error corrected P < 0.05). Insight+ patient and healthy controls did not differ significantly (P > 0.20) from each other.
CONCLUSION Our findings demonstrate a clear association between poor clinical insight and smaller fronto-temporal, occipital and cerebellar grey matter volumes in stable long-term schizophrenia patients.
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Emami S, Guimond S, Mallar Chakravarty M, Lepage M. Cortical thickness and low insight into symptoms in enduring schizophrenia. Schizophr Res 2016; 170:66-72. [PMID: 26603467 DOI: 10.1016/j.schres.2015.10.016] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2015] [Revised: 10/05/2015] [Accepted: 10/08/2015] [Indexed: 01/18/2023]
Abstract
Poor insight is a common, multidimensional phenomenon in patients with schizophrenia, associated with poorer outcomes and treatment non-adherence. Yet scant research has investigated the neuronal correlates of insight into symptoms (IS), a dimension of insight that may be particularly significant in enduring schizophrenia. Sixty-six patients with enduring schizophrenia (duration >4years) and 33 healthy controls completed MRI scanning and IQ, depression, and anxiety assessments. The Scale to Assess Insight-Expanded (SAI-E) measured insight into patients' four most prominent symptoms and patients were classified into two groups: low IS (0-2; n=33), and high IS (>2; n=33). We evaluated the association between cortical thickness (CT) and insight into symptoms using two methods: (1) a between-patients region-of-interest analysis in the insula, superior temporal gyrus (STG) and frontal lobe; and (2) a whole-brain exploratory regression between patient and controls. Brain regions were segmented using a neuroanatomical atlas and vertex-wise CT analyses were conducted with CIVET, covaried for age and sex. ROI analysis revealed thinner insula cortex in patients with low IS (p<0.05, surviving FDR correction). Patients with low IS also showed significantly thinner right insula, STG, and parahippocampal cortex compared to healthy controls (p<0.05, surviving FDR correction). Regions of observed CT reductions have been hypothesized to subserve self-monitoring, error awareness, and ability to identify hallucinations. Results highlight an important association between right insula abnormalities and impaired IS in schizophrenia. The diverse clinical presentation of patients further suggests an independent relationship between symptomology and insight-related differences in CT that has been previously unexplored in enduring schizophrenia.
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Affiliation(s)
- Seema Emami
- Douglas Mental Health University Institute, Canada; Dept. of Psychology, McGill University, Canada
| | - Synthia Guimond
- Douglas Mental Health University Institute, Canada; Dept. of Psychology, McGill University, Canada
| | - M Mallar Chakravarty
- Douglas Mental Health University Institute, Canada; Dept. of Psychiatry, McGill University, Canada
| | - Martin Lepage
- Douglas Mental Health University Institute, Canada; Dept. of Psychology, McGill University, Canada; Dept. of Psychiatry, McGill University, Canada
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Hong SB, Lee TY, Kwak YB, Kim SN, Kwon JS. Baseline putamen volume as a predictor of positive symptom reduction in patients at clinical high risk for psychosis: A preliminary study. Schizophr Res 2015; 169:178-185. [PMID: 26527246 DOI: 10.1016/j.schres.2015.10.029] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2015] [Revised: 10/13/2015] [Accepted: 10/20/2015] [Indexed: 12/20/2022]
Abstract
OBJECTIVES Illness course in individuals at clinical high risk (CHR) status for psychosis is heterogeneous, which limits effective treatment for all CHR subgroups. Baseline predictors of positive symptom trajectory in the CHR group will reduce such limitations. We singled out the putamen, thought to be involved in the generation of the key schizophrenia symptoms early in the course of disease, as a potential predictor of positive symptom trajectory in CHR patients. METHOD We recruited 45 CHR patients and 29 age- and gender-matched healthy controls (HC). The CHR group was divided into patients with positive symptom reduction (CHR-R) and patients without positive symptom reduction (CHR-NR) at 6 months. Comparisons were made between the baseline putamen volumes of CHR-R, CHR-NR and HC groups. The relationship between baseline putamen volumes and clinical measures was investigated. RESULTS Left putamen volumes of CHR-R patients were significantly smaller than those of HCs (p=0.002) and of CHR-NR patients (p=0.024). CHR-R patients had significantly reduced leftward laterality compared to HCs (p=0.007). In the CHR-R group, bilateral putamen volumes were correlated with positive symptom severity at baseline (r=-0.552, p=0.001) and at 6 months (r=-0.360, p=0.043), and predicted positive symptom score change in 6 months at a trend level (p=0.092). CONCLUSION Smaller left putamen volumes in CHR-R patients, and the correlation between positive symptom severity and putamen volumes suggest that putamen volume is a possible risk-stratifier and predictor of clinical course in the CHR population.
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Affiliation(s)
- Sang Bin Hong
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Tae Young Lee
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea; Medical Research Center, Seoul National University College of Medicine, Seoul, Republic of Korea.
| | - Yoo Bin Kwak
- Department of Brain & Cognitive Sciences, Seoul National University College of National Sciences, Seoul, Republic of Korea
| | - Sung Nyun Kim
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jun Soo Kwon
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea; Medical Research Center, Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Brain & Cognitive Sciences, Seoul National University College of National Sciences, Seoul, Republic of Korea
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22
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Cognitive course in first-episode psychosis and clinical correlates: A 4 year longitudinal study using the MATRICS Consensus Cognitive Battery. Schizophr Res 2015; 169:101-108. [PMID: 26416442 DOI: 10.1016/j.schres.2015.09.007] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2015] [Revised: 07/13/2015] [Accepted: 09/04/2015] [Indexed: 11/22/2022]
Abstract
While cognitive impairments are prevalent in first-episode psychosis, the course of these deficits is not fully understood. Most deficits appear to remain stable, however there is uncertainty regarding the trajectory of specific cognitive domains after illness onset. This study investigates the longitudinal course of cognitive deficits four years after a first-episode of psychosis and the relationship of performance with clinical course and response to treatment. Twenty three individuals with psychotic illness, matched with 21 healthy volunteers, were assessed using the MATRICS Consensus Cognitive Battery at illness onset and 4 years later. We also investigated the relationship between cognitive deficits and quality of life and clinical indices. Verbal learning and two measures of processing speed had marked poorer trajectory over four years compared to the remaining cognitive domains. Processing speed performance was found to contribute to the cognitive deficits in psychosis. Poorer clinical outcome was associated with greater deficits at illness onset in reasoning and problem solving and social cognition. Cognitive deficits did not predict quality of life at follow-up, nor did diagnosis subtype differentiate cognitive performance. In conclusion, an initial psychotic episode may be associated with an additional cost on verbal learning and two measures of processing speed over a time spanning at least four years. Moreover, processing speed, which has been manipulated through intervention in previous studies, may represent a viable therapeutic target. Finally, cognition at illness onset may have a predictive capability of illness course.
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Olsson M, Carlström E, Marklund B, Helldin L, Hjärthag F. Assessment of Distress and Quality of Life: A Comparison of Self-Assessments by Outpatients with a Schizopsychotic Illness and the Clinical Judgment of Nurses. Arch Psychiatr Nurs 2015; 29:284-9. [PMID: 26397430 DOI: 10.1016/j.apnu.2015.05.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2014] [Revised: 04/29/2015] [Accepted: 05/21/2015] [Indexed: 10/23/2022]
Abstract
The aim of this study was to investigate how self-assessments of perceived distress and quality of life in patients with schizopsychotic illness are associated with nurse assessments of symptoms, function and life situation. Data were obtained through interviews that used evidence-based rating and visual analogue self-rating scales. Descriptive statistics, correlation and regression analyses were used to process the data. The results demonstrated that the patient self-ratings did not correlate with the nurse assessments, and the perceived distress was not affected by remission status. The findings indicate that patient self-assessments are not a sufficient basis for decisions regarding appropriate treatment interventions.
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Affiliation(s)
- Maivor Olsson
- Department of Psychiatry, NU-Hospital Organisation, Trollhättan, Sweden; Academy of Sahlgrenska, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden.
| | - Eric Carlström
- Academy of Sahlgrenska, Institute of Health and Care Sciences, University of Gothenburg, Gothenburg, Sweden; Department of Nursing, Health and Culture, University West, Trollhättan, Sweden.
| | - Bertil Marklund
- Academy of Sahlgrenska, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden; Primary Health Care Research Development and Education Centre, Vänersborg, County Administration of West Sweden, Sweden.
| | - Lars Helldin
- Department of Psychiatry, NU-Hospital Organisation, Trollhättan, Sweden; Department of Psychology, Karlstad University, Karlstad, Sweden.
| | - Fredrik Hjärthag
- Department of Psychology, Karlstad University, Karlstad, Sweden.
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Scanlon C, Anderson-Schmidt H, Kilmartin L, McInerney S, Kenney J, McFarland J, Waldron M, Ambati S, Fullard A, Logan S, Hallahan B, Barker GJ, Elliott MA, McCarthy P, Cannon DM, McDonald C. Cortical thinning and caudate abnormalities in first episode psychosis and their association with clinical outcome. Schizophr Res 2014; 159:36-42. [PMID: 25124520 DOI: 10.1016/j.schres.2014.07.030] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2013] [Revised: 07/06/2014] [Accepted: 07/14/2014] [Indexed: 12/26/2022]
Abstract
First episode psychosis (FEP) has been associated with structural brain changes, largely identified by volumetric analyses. Advances in neuroimaging processing have made it possible to measure geometric properties that may identify subtle structural changes not appreciated by a measure of volume alone. In this study we adopt complementary methods of assessing the structural integrity of grey matter in FEP patients and assess whether these relate to patient clinical and functional outcome at 3 year follow-up. 1.5 Tesla T1-weighted Magnetic Resonance (MR) images were acquired for 46 patients experiencing their first episode of psychosis and 46 healthy controls. Cerebral cortical thickness and local gyrification index (LGI) were investigated using FreeSurfer software. Volume and shape of the hippocampus, caudate and lateral ventricles were assessed using manual tracing and spherical harmonics applied for shape description. A cluster of cortical thinning was identified in FEP compared to controls; this was located in the right superior temporal gyrus, sulcus, extended into the middle temporal gyrus (lateral temporal cortex - LTC). Bilateral caudate volumes were significantly lower in FEP relative to controls and the right caudate also displayed regions of shape deflation in the FEP group. No significant structural abnormalities were identified in cortical LGI or hippocampal or lateral ventricle volume/shape. Neither LTC nor caudate abnormalities were related to change in symptom severity or global functioning 3 years later. LTC and caudate abnormalities are present at the first episode of psychosis but do not appear to directly affect clinical or functional outcome.
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Affiliation(s)
- Cathy Scanlon
- Clinical Neuroimaging Laboratory, Department of Psychiatry and Anatomy, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland; NCBES Galway Neuroscience Center, National University of Ireland Galway, Galway, Ireland
| | - Heike Anderson-Schmidt
- Clinical Neuroimaging Laboratory, Department of Psychiatry and Anatomy, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland; Department of Psychiatry and Psychotherapy, Section of Psychiatric Genetics, University Medical Centre Goettingen, Georg-August University, Goettingen, Germany
| | - Liam Kilmartin
- College of Engineering and Informatics, National University of Ireland Galway, Galway, Ireland
| | - Shane McInerney
- Clinical Neuroimaging Laboratory, Department of Psychiatry and Anatomy, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Joanne Kenney
- Clinical Neuroimaging Laboratory, Department of Psychiatry and Anatomy, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland; NCBES Galway Neuroscience Center, National University of Ireland Galway, Galway, Ireland
| | - John McFarland
- Clinical Neuroimaging Laboratory, Department of Psychiatry and Anatomy, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Mairead Waldron
- Clinical Neuroimaging Laboratory, Department of Psychiatry and Anatomy, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland; NCBES Galway Neuroscience Center, National University of Ireland Galway, Galway, Ireland
| | - Srinath Ambati
- Clinical Neuroimaging Laboratory, Department of Psychiatry and Anatomy, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland; NCBES Galway Neuroscience Center, National University of Ireland Galway, Galway, Ireland
| | - Anna Fullard
- Clinical Neuroimaging Laboratory, Department of Psychiatry and Anatomy, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Sam Logan
- Clinical Neuroimaging Laboratory, Department of Psychiatry and Anatomy, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Brian Hallahan
- Clinical Neuroimaging Laboratory, Department of Psychiatry and Anatomy, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Gareth J Barker
- King's College London, Institute of Psychiatry, Department of Clinical Neuroscience, Centre for Neuroimaging Sciences, London, UK
| | - Mark A Elliott
- School of Psychology, National University of Ireland Galway, Galway, Ireland; NCBES Galway Neuroscience Center, National University of Ireland Galway, Galway, Ireland
| | - Peter McCarthy
- Department of Radiology, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Dara M Cannon
- Clinical Neuroimaging Laboratory, Department of Psychiatry and Anatomy, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland; NCBES Galway Neuroscience Center, National University of Ireland Galway, Galway, Ireland
| | - Colm McDonald
- Clinical Neuroimaging Laboratory, Department of Psychiatry and Anatomy, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland; NCBES Galway Neuroscience Center, National University of Ireland Galway, Galway, Ireland.
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Dresler M, Wehrle R, Spoormaker VI, Steiger A, Holsboer F, Czisch M, Hobson JA. Neural correlates of insight in dreaming and psychosis. Sleep Med Rev 2014; 20:92-9. [PMID: 25092021 DOI: 10.1016/j.smrv.2014.06.004] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2014] [Revised: 06/06/2014] [Accepted: 06/14/2014] [Indexed: 12/17/2022]
Abstract
The idea that dreaming can serve as a model for psychosis has a long and honourable tradition, however it is notoriously speculative. Here we demonstrate that recent research on the phenomenon of lucid dreaming sheds new light on the debate. Lucid dreaming is a rare state of sleep in which the dreamer gains insight into his state of mind during dreaming. Recent electroencephalogram (EEG) and functional magnetic resonance imaging (fMRI) data for the first time allow very specific hypotheses about the dream-psychosis relationship: if dreaming is a reasonable model for psychosis, then insight into the dreaming state and insight into the psychotic state should share similar neural correlates. This indeed seems to be the case: cortical areas activated during lucid dreaming show striking overlap with brain regions that are impaired in psychotic patients who lack insight into their pathological state. This parallel allows for new therapeutic approaches and ways to test antipsychotic medication.
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Affiliation(s)
- Martin Dresler
- Max Planck Institute of Psychiatry, Munich, Germany; Donders Institute for Brain, Cognition and Behavior, Nijmegen, The Netherlands.
| | | | | | - Axel Steiger
- Max Planck Institute of Psychiatry, Munich, Germany
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Dumas R, Baumstarck K, Michel P, Lançon C, Auquier P, Boyer L. Systematic review reveals heterogeneity in the use of the Scale to Assess Unawareness of Mental Disorder (SUMD). Curr Psychiatry Rep 2013; 15:361. [PMID: 23636985 DOI: 10.1007/s11920-013-0361-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
The Scale to Assess Unawareness of Mental Disorder (SUMD) is one of the most widely used instruments to measure insight into mental disorders. The aim of this study was to review all studies using the SUMD in the last 20 years. We performed an electronic search of MEDLINE using PubMed to identify all relevant studies published from 1993 to 2012. The following data were extracted from each article: characteristics of the SUMD (version, rating scale, scoring, and item/dimension used), methodological aspects (country, language, subject inclusion criteria, and sample size), and statistical methods to analyse insight. Of the 133 articles screened, 100 studies were included in the review. Fifty-two studies were published over the past five years. The SUMD was rarely used in its entirety, and the use of selected items or subscales was heterogeneous across studies. The studies also varied in terms of response modalities and in the use of 3- or 5-point Likert scales. The calculation of insight scores was highly variable and included the following: treating items as categorical or continuous variables, separate analysis of individual items, items expressed in terms of the sum total or the mean scores, and a range of score values used to define insight. This paper provides a systematic review of studies using the SUMD and reveals important differences in the versions used, the methods of calculation, and the interpretation of scores across studies. The use of a modified SUMD may compromise the psychometric properties of the scale, lead to erroneous conclusions, and prevents comparison of results across studies. Our review underlines the need for the standardised use of the SUMD.
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Affiliation(s)
- Rémy Dumas
- EA 3279 - Public Health, Chronic Diseases and Quality of Life - Research Unit, Aix-Marseille University, 13005, Marseille, France.
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