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Clinical and cortical similarities identified between bipolar disorder I and schizophrenia: A multivariate approach
BACKGROUND: Structural neuroimaging studies have identified similarities in the brains of individuals diagnosed with schizophrenia (SZ) and bipolar I disorder (BP), with overlap in regions of gray matter (GM) deficits between the two disorders. Recent studies have also shown that the symptom phenoty...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9684186/ https://www.ncbi.nlm.nih.gov/pubmed/36438633 http://dx.doi.org/10.3389/fnhum.2022.1001692 |
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author | Rootes-Murdy, Kelly Edmond, Jesse T. Jiang, Wenhao Rahaman, Md A. Chen, Jiayu Perrone-Bizzozero, Nora I. Calhoun, Vince D. van Erp, Theo G. M. Ehrlich, Stefan Agartz, Ingrid Jönsson, Erik G. Andreassen, Ole A. Westlye, Lars T. Wang, Lei Pearlson, Godfrey D. Glahn, David C. Hong, Elliot Buchanan, Robert W. Kochunov, Peter Voineskos, Aristotle Malhotra, Anil Tamminga, Carol A. Liu, Jingyu Turner, Jessica A. |
author_facet | Rootes-Murdy, Kelly Edmond, Jesse T. Jiang, Wenhao Rahaman, Md A. Chen, Jiayu Perrone-Bizzozero, Nora I. Calhoun, Vince D. van Erp, Theo G. M. Ehrlich, Stefan Agartz, Ingrid Jönsson, Erik G. Andreassen, Ole A. Westlye, Lars T. Wang, Lei Pearlson, Godfrey D. Glahn, David C. Hong, Elliot Buchanan, Robert W. Kochunov, Peter Voineskos, Aristotle Malhotra, Anil Tamminga, Carol A. Liu, Jingyu Turner, Jessica A. |
author_sort | Rootes-Murdy, Kelly |
collection | PubMed |
description | BACKGROUND: Structural neuroimaging studies have identified similarities in the brains of individuals diagnosed with schizophrenia (SZ) and bipolar I disorder (BP), with overlap in regions of gray matter (GM) deficits between the two disorders. Recent studies have also shown that the symptom phenotypes associated with SZ and BP may allow for a more precise categorization than the current diagnostic criteria. In this study, we sought to identify GM alterations that were unique to each disorder and whether those alterations were also related to unique symptom profiles. MATERIALS AND METHODS: We analyzed the GM patterns and clinical symptom presentations using independent component analysis (ICA), hierarchical clustering, and n-way biclustering in a large (N ∼ 3,000), merged dataset of neuroimaging data from healthy volunteers (HV), and individuals with either SZ or BP. RESULTS: Component A showed a SZ and BP < HV GM pattern in the bilateral insula and cingulate gyrus. Component B showed a SZ and BP < HV GM pattern in the cerebellum and vermis. There were no significant differences between diagnostic groups in these components. Component C showed a SZ < HV and BP GM pattern bilaterally in the temporal poles. Hierarchical clustering of the PANSS scores and the ICA components did not yield new subgroups. N-way biclustering identified three unique subgroups of individuals within the sample that mapped onto different combinations of ICA components and symptom profiles categorized by the PANSS but no distinct diagnostic group differences. CONCLUSION: These multivariate results show that diagnostic boundaries are not clearly related to structural differences or distinct symptom profiles. Our findings add support that (1) BP tend to have less severe symptom profiles when compared to SZ on the PANSS without a clear distinction, and (2) all the gray matter alterations follow the pattern of SZ < BP < HV without a clear distinction between SZ and BP. |
format | Online Article Text |
id | pubmed-9684186 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96841862022-11-25 Clinical and cortical similarities identified between bipolar disorder I and schizophrenia: A multivariate approach Rootes-Murdy, Kelly Edmond, Jesse T. Jiang, Wenhao Rahaman, Md A. Chen, Jiayu Perrone-Bizzozero, Nora I. Calhoun, Vince D. van Erp, Theo G. M. Ehrlich, Stefan Agartz, Ingrid Jönsson, Erik G. Andreassen, Ole A. Westlye, Lars T. Wang, Lei Pearlson, Godfrey D. Glahn, David C. Hong, Elliot Buchanan, Robert W. Kochunov, Peter Voineskos, Aristotle Malhotra, Anil Tamminga, Carol A. Liu, Jingyu Turner, Jessica A. Front Hum Neurosci Neuroscience BACKGROUND: Structural neuroimaging studies have identified similarities in the brains of individuals diagnosed with schizophrenia (SZ) and bipolar I disorder (BP), with overlap in regions of gray matter (GM) deficits between the two disorders. Recent studies have also shown that the symptom phenotypes associated with SZ and BP may allow for a more precise categorization than the current diagnostic criteria. In this study, we sought to identify GM alterations that were unique to each disorder and whether those alterations were also related to unique symptom profiles. MATERIALS AND METHODS: We analyzed the GM patterns and clinical symptom presentations using independent component analysis (ICA), hierarchical clustering, and n-way biclustering in a large (N ∼ 3,000), merged dataset of neuroimaging data from healthy volunteers (HV), and individuals with either SZ or BP. RESULTS: Component A showed a SZ and BP < HV GM pattern in the bilateral insula and cingulate gyrus. Component B showed a SZ and BP < HV GM pattern in the cerebellum and vermis. There were no significant differences between diagnostic groups in these components. Component C showed a SZ < HV and BP GM pattern bilaterally in the temporal poles. Hierarchical clustering of the PANSS scores and the ICA components did not yield new subgroups. N-way biclustering identified three unique subgroups of individuals within the sample that mapped onto different combinations of ICA components and symptom profiles categorized by the PANSS but no distinct diagnostic group differences. CONCLUSION: These multivariate results show that diagnostic boundaries are not clearly related to structural differences or distinct symptom profiles. Our findings add support that (1) BP tend to have less severe symptom profiles when compared to SZ on the PANSS without a clear distinction, and (2) all the gray matter alterations follow the pattern of SZ < BP < HV without a clear distinction between SZ and BP. Frontiers Media S.A. 2022-11-10 /pmc/articles/PMC9684186/ /pubmed/36438633 http://dx.doi.org/10.3389/fnhum.2022.1001692 Text en Copyright © 2022 Rootes-Murdy, Edmond, Jiang, Rahaman, Chen, Perrone-Bizzozero, Calhoun, van Erp, Ehrlich, Agartz, Jönsson, Andreassen, Westlye, Wang, Pearlson, Glahn, Hong, Buchanan, Kochunov, Voineskos, Malhotra, Tamminga, Liu and Turner. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Rootes-Murdy, Kelly Edmond, Jesse T. Jiang, Wenhao Rahaman, Md A. Chen, Jiayu Perrone-Bizzozero, Nora I. Calhoun, Vince D. van Erp, Theo G. M. Ehrlich, Stefan Agartz, Ingrid Jönsson, Erik G. Andreassen, Ole A. Westlye, Lars T. Wang, Lei Pearlson, Godfrey D. Glahn, David C. Hong, Elliot Buchanan, Robert W. Kochunov, Peter Voineskos, Aristotle Malhotra, Anil Tamminga, Carol A. Liu, Jingyu Turner, Jessica A. Clinical and cortical similarities identified between bipolar disorder I and schizophrenia: A multivariate approach |
title | Clinical and cortical similarities identified between bipolar disorder I and schizophrenia: A multivariate approach |
title_full | Clinical and cortical similarities identified between bipolar disorder I and schizophrenia: A multivariate approach |
title_fullStr | Clinical and cortical similarities identified between bipolar disorder I and schizophrenia: A multivariate approach |
title_full_unstemmed | Clinical and cortical similarities identified between bipolar disorder I and schizophrenia: A multivariate approach |
title_short | Clinical and cortical similarities identified between bipolar disorder I and schizophrenia: A multivariate approach |
title_sort | clinical and cortical similarities identified between bipolar disorder i and schizophrenia: a multivariate approach |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9684186/ https://www.ncbi.nlm.nih.gov/pubmed/36438633 http://dx.doi.org/10.3389/fnhum.2022.1001692 |
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