Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
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
_version_ 1784835224054530048
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
work_keys_str_mv AT rootesmurdykelly clinicalandcorticalsimilaritiesidentifiedbetweenbipolardisorderiandschizophreniaamultivariateapproach
AT edmondjesset clinicalandcorticalsimilaritiesidentifiedbetweenbipolardisorderiandschizophreniaamultivariateapproach
AT jiangwenhao clinicalandcorticalsimilaritiesidentifiedbetweenbipolardisorderiandschizophreniaamultivariateapproach
AT rahamanmda clinicalandcorticalsimilaritiesidentifiedbetweenbipolardisorderiandschizophreniaamultivariateapproach
AT chenjiayu clinicalandcorticalsimilaritiesidentifiedbetweenbipolardisorderiandschizophreniaamultivariateapproach
AT perronebizzozeronorai clinicalandcorticalsimilaritiesidentifiedbetweenbipolardisorderiandschizophreniaamultivariateapproach
AT calhounvinced clinicalandcorticalsimilaritiesidentifiedbetweenbipolardisorderiandschizophreniaamultivariateapproach
AT vanerptheogm clinicalandcorticalsimilaritiesidentifiedbetweenbipolardisorderiandschizophreniaamultivariateapproach
AT ehrlichstefan clinicalandcorticalsimilaritiesidentifiedbetweenbipolardisorderiandschizophreniaamultivariateapproach
AT agartzingrid clinicalandcorticalsimilaritiesidentifiedbetweenbipolardisorderiandschizophreniaamultivariateapproach
AT jonssonerikg clinicalandcorticalsimilaritiesidentifiedbetweenbipolardisorderiandschizophreniaamultivariateapproach
AT andreassenolea clinicalandcorticalsimilaritiesidentifiedbetweenbipolardisorderiandschizophreniaamultivariateapproach
AT westlyelarst clinicalandcorticalsimilaritiesidentifiedbetweenbipolardisorderiandschizophreniaamultivariateapproach
AT wanglei clinicalandcorticalsimilaritiesidentifiedbetweenbipolardisorderiandschizophreniaamultivariateapproach
AT pearlsongodfreyd clinicalandcorticalsimilaritiesidentifiedbetweenbipolardisorderiandschizophreniaamultivariateapproach
AT glahndavidc clinicalandcorticalsimilaritiesidentifiedbetweenbipolardisorderiandschizophreniaamultivariateapproach
AT hongelliot clinicalandcorticalsimilaritiesidentifiedbetweenbipolardisorderiandschizophreniaamultivariateapproach
AT buchananrobertw clinicalandcorticalsimilaritiesidentifiedbetweenbipolardisorderiandschizophreniaamultivariateapproach
AT kochunovpeter clinicalandcorticalsimilaritiesidentifiedbetweenbipolardisorderiandschizophreniaamultivariateapproach
AT voineskosaristotle clinicalandcorticalsimilaritiesidentifiedbetweenbipolardisorderiandschizophreniaamultivariateapproach
AT malhotraanil clinicalandcorticalsimilaritiesidentifiedbetweenbipolardisorderiandschizophreniaamultivariateapproach
AT tammingacarola clinicalandcorticalsimilaritiesidentifiedbetweenbipolardisorderiandschizophreniaamultivariateapproach
AT liujingyu clinicalandcorticalsimilaritiesidentifiedbetweenbipolardisorderiandschizophreniaamultivariateapproach
AT turnerjessicaa clinicalandcorticalsimilaritiesidentifiedbetweenbipolardisorderiandschizophreniaamultivariateapproach