Morphometry and gyrification in bipolar disorder and schizophrenia: A comparative MRI study

Detalhes bibliográficos
Autor(a) principal: Madeira, Nuno
Data de Publicação: 2020
Outros Autores: Duarte, João Valente, Martins, Ricardo Filipe Alves, Costa, Gabriel Nascimento Ferreira da, Macedo, António, Castelo-Branco, Miguel
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/92458
https://doi.org/10.1016/j.nicl.2020.102220
Resumo: Schizophrenia is believed to be a neurodevelopmental disease with high heritability. Differential diagnosis is often challenging, especially in early phases, namely with other psychotic disorders or even mood disorders. such as bipolar disorder with psychotic symptoms. Key pathophysiological changes separating these two classical psychoses remain poorly understood, and current evidence favors a more dimensional than categorical differentiation between schizophrenia and bipolar disorder. While established biomarkers like cortical thickness and grey matter volume are heavily influenced by post-onset changes and thus provide limited possibility of accessing early pathologies, gyrification is assumed to be more specifically determined by genetic and early developmental factors. The aim of our study was to compare both classical and novel morphometric features in these two archetypal psychiatric disorders. We included 20 schizophrenia patients, 20 bipolar disorder patients and 20 age- and gender-matched healthy controls. Data analyses were performed with CAT12/SPM12 applying general linear models for four morphometric measures: gyrification and cortical thickness (surface-based morphometry), and whole-brain grey matter/grey matter volume (voxel-based morphometry - VBM). Group effects were tested using age and gender as covariates (and total intracranial volume for VBM). Voxel-based morphometry analysis revealed a schizophrenia vs. control group effect on regional grey matter volume (p < 0.05, familywise error correction) in the right globus pallidus. There was no group effect on white matter volume when correcting for multiple comparisons neither on cortical thickness. Gyrification changes in clinical samples were found in the left supramarginal gyrus (BA40) - increased and reduced gyrification, respectively, in BPD and SCZ patients - and in the right inferior frontal gyrus (BA47), with a reduction in gyrification of the SCZ group when compared with controls. The joint analysis of different morphometric features, namely measures such as gyrification, provides a promising strategy for the elucidation of distinct phenotypes in psychiatric disorders. Different morphological change patterns, highlighting specific disease trajectories, could potentially generate neuroimaging-derived biomarkers, helping to discriminate schizophrenia from bipolar disorder in early phases, such as first-episode psychosis patients.
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spelling Morphometry and gyrification in bipolar disorder and schizophrenia: A comparative MRI studyBipolar disorder; Gyrification; Morphometry; SchizophreniaSchizophrenia is believed to be a neurodevelopmental disease with high heritability. Differential diagnosis is often challenging, especially in early phases, namely with other psychotic disorders or even mood disorders. such as bipolar disorder with psychotic symptoms. Key pathophysiological changes separating these two classical psychoses remain poorly understood, and current evidence favors a more dimensional than categorical differentiation between schizophrenia and bipolar disorder. While established biomarkers like cortical thickness and grey matter volume are heavily influenced by post-onset changes and thus provide limited possibility of accessing early pathologies, gyrification is assumed to be more specifically determined by genetic and early developmental factors. The aim of our study was to compare both classical and novel morphometric features in these two archetypal psychiatric disorders. We included 20 schizophrenia patients, 20 bipolar disorder patients and 20 age- and gender-matched healthy controls. Data analyses were performed with CAT12/SPM12 applying general linear models for four morphometric measures: gyrification and cortical thickness (surface-based morphometry), and whole-brain grey matter/grey matter volume (voxel-based morphometry - VBM). Group effects were tested using age and gender as covariates (and total intracranial volume for VBM). Voxel-based morphometry analysis revealed a schizophrenia vs. control group effect on regional grey matter volume (p < 0.05, familywise error correction) in the right globus pallidus. There was no group effect on white matter volume when correcting for multiple comparisons neither on cortical thickness. Gyrification changes in clinical samples were found in the left supramarginal gyrus (BA40) - increased and reduced gyrification, respectively, in BPD and SCZ patients - and in the right inferior frontal gyrus (BA47), with a reduction in gyrification of the SCZ group when compared with controls. The joint analysis of different morphometric features, namely measures such as gyrification, provides a promising strategy for the elucidation of distinct phenotypes in psychiatric disorders. Different morphological change patterns, highlighting specific disease trajectories, could potentially generate neuroimaging-derived biomarkers, helping to discriminate schizophrenia from bipolar disorder in early phases, such as first-episode psychosis patients.2020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/92458http://hdl.handle.net/10316/92458https://doi.org/10.1016/j.nicl.2020.102220eng22131582https://www.sciencedirect.com/science/article/pii/S2213158220300577Madeira, NunoDuarte, João ValenteMartins, Ricardo Filipe AlvesCosta, Gabriel Nascimento Ferreira daMacedo, AntónioCastelo-Branco, Miguelinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-05-25T05:55:04Zoai:estudogeral.uc.pt:10316/92458Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:11:32.875894Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Morphometry and gyrification in bipolar disorder and schizophrenia: A comparative MRI study
title Morphometry and gyrification in bipolar disorder and schizophrenia: A comparative MRI study
spellingShingle Morphometry and gyrification in bipolar disorder and schizophrenia: A comparative MRI study
Madeira, Nuno
Bipolar disorder; Gyrification; Morphometry; Schizophrenia
title_short Morphometry and gyrification in bipolar disorder and schizophrenia: A comparative MRI study
title_full Morphometry and gyrification in bipolar disorder and schizophrenia: A comparative MRI study
title_fullStr Morphometry and gyrification in bipolar disorder and schizophrenia: A comparative MRI study
title_full_unstemmed Morphometry and gyrification in bipolar disorder and schizophrenia: A comparative MRI study
title_sort Morphometry and gyrification in bipolar disorder and schizophrenia: A comparative MRI study
author Madeira, Nuno
author_facet Madeira, Nuno
Duarte, João Valente
Martins, Ricardo Filipe Alves
Costa, Gabriel Nascimento Ferreira da
Macedo, António
Castelo-Branco, Miguel
author_role author
author2 Duarte, João Valente
Martins, Ricardo Filipe Alves
Costa, Gabriel Nascimento Ferreira da
Macedo, António
Castelo-Branco, Miguel
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Madeira, Nuno
Duarte, João Valente
Martins, Ricardo Filipe Alves
Costa, Gabriel Nascimento Ferreira da
Macedo, António
Castelo-Branco, Miguel
dc.subject.por.fl_str_mv Bipolar disorder; Gyrification; Morphometry; Schizophrenia
topic Bipolar disorder; Gyrification; Morphometry; Schizophrenia
description Schizophrenia is believed to be a neurodevelopmental disease with high heritability. Differential diagnosis is often challenging, especially in early phases, namely with other psychotic disorders or even mood disorders. such as bipolar disorder with psychotic symptoms. Key pathophysiological changes separating these two classical psychoses remain poorly understood, and current evidence favors a more dimensional than categorical differentiation between schizophrenia and bipolar disorder. While established biomarkers like cortical thickness and grey matter volume are heavily influenced by post-onset changes and thus provide limited possibility of accessing early pathologies, gyrification is assumed to be more specifically determined by genetic and early developmental factors. The aim of our study was to compare both classical and novel morphometric features in these two archetypal psychiatric disorders. We included 20 schizophrenia patients, 20 bipolar disorder patients and 20 age- and gender-matched healthy controls. Data analyses were performed with CAT12/SPM12 applying general linear models for four morphometric measures: gyrification and cortical thickness (surface-based morphometry), and whole-brain grey matter/grey matter volume (voxel-based morphometry - VBM). Group effects were tested using age and gender as covariates (and total intracranial volume for VBM). Voxel-based morphometry analysis revealed a schizophrenia vs. control group effect on regional grey matter volume (p < 0.05, familywise error correction) in the right globus pallidus. There was no group effect on white matter volume when correcting for multiple comparisons neither on cortical thickness. Gyrification changes in clinical samples were found in the left supramarginal gyrus (BA40) - increased and reduced gyrification, respectively, in BPD and SCZ patients - and in the right inferior frontal gyrus (BA47), with a reduction in gyrification of the SCZ group when compared with controls. The joint analysis of different morphometric features, namely measures such as gyrification, provides a promising strategy for the elucidation of distinct phenotypes in psychiatric disorders. Different morphological change patterns, highlighting specific disease trajectories, could potentially generate neuroimaging-derived biomarkers, helping to discriminate schizophrenia from bipolar disorder in early phases, such as first-episode psychosis patients.
publishDate 2020
dc.date.none.fl_str_mv 2020
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/92458
http://hdl.handle.net/10316/92458
https://doi.org/10.1016/j.nicl.2020.102220
url http://hdl.handle.net/10316/92458
https://doi.org/10.1016/j.nicl.2020.102220
dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv 22131582
https://www.sciencedirect.com/science/article/pii/S2213158220300577
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