Cargando…
Gray matter volume covariance networks are associated with altered emotional processing in bipolar disorder: a source-based morphometry study
Widespread regional gray matter volume (GMV) alterations have been reported in bipolar disorder (BD). Structural networks, which are thought to better reflect the complex multivariate organization of the brain, and their clinical and psychological function have not been investigated yet in BD. 24 pa...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9010334/ https://www.ncbi.nlm.nih.gov/pubmed/34546520 http://dx.doi.org/10.1007/s11682-021-00541-5 |
_version_ | 1784687461361778688 |
---|---|
author | Miola, Alessandro Trevisan, Nicolò Merola, Arcangelo Comini, Francesco Folena Olivo, Daniele Minerva, Matteo Valeggia, Silvia Toffanin, Tommaso Favaro, Angela Manara, Renzo Sambataro, Fabio |
author_facet | Miola, Alessandro Trevisan, Nicolò Merola, Arcangelo Comini, Francesco Folena Olivo, Daniele Minerva, Matteo Valeggia, Silvia Toffanin, Tommaso Favaro, Angela Manara, Renzo Sambataro, Fabio |
author_sort | Miola, Alessandro |
collection | PubMed |
description | Widespread regional gray matter volume (GMV) alterations have been reported in bipolar disorder (BD). Structural networks, which are thought to better reflect the complex multivariate organization of the brain, and their clinical and psychological function have not been investigated yet in BD. 24 patients with BD type-I (BD-I), and 30 with BD type-II (BD-II), and 45 controls underwent MRI scan. Voxel-based morphometry and source-based morphometry (SBM) were performed to extract structural covariation patterns of GMV. SBM components associated with morphometric differences were compared among diagnoses. Executive function and emotional processing correlated with morphometric characteristics. Compared to controls, BD-I showed reduced GMV in the temporo-insular-parieto-occipital cortex and in the culmen. An SBM component spanning the prefrontal-temporal-occipital network exhibited significantly lower GMV in BD-I compared to controls, but not between the other groups. The structural network covariance in BD-I was associated with the number of previous manic episodes and with worse executive performance. Compared to BD-II, BD-I showed a loss of GMV in the temporal-occipital regions, and this was correlated with impaired emotional processing. Altered prefrontal-temporal-occipital network structure could reflect a neural signature associated with visuospatial processing and problem-solving impairments as well as emotional processing and illness severity in BD-I. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11682-021-00541-5. |
format | Online Article Text |
id | pubmed-9010334 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-90103342022-04-19 Gray matter volume covariance networks are associated with altered emotional processing in bipolar disorder: a source-based morphometry study Miola, Alessandro Trevisan, Nicolò Merola, Arcangelo Comini, Francesco Folena Olivo, Daniele Minerva, Matteo Valeggia, Silvia Toffanin, Tommaso Favaro, Angela Manara, Renzo Sambataro, Fabio Brain Imaging Behav Original Research Widespread regional gray matter volume (GMV) alterations have been reported in bipolar disorder (BD). Structural networks, which are thought to better reflect the complex multivariate organization of the brain, and their clinical and psychological function have not been investigated yet in BD. 24 patients with BD type-I (BD-I), and 30 with BD type-II (BD-II), and 45 controls underwent MRI scan. Voxel-based morphometry and source-based morphometry (SBM) were performed to extract structural covariation patterns of GMV. SBM components associated with morphometric differences were compared among diagnoses. Executive function and emotional processing correlated with morphometric characteristics. Compared to controls, BD-I showed reduced GMV in the temporo-insular-parieto-occipital cortex and in the culmen. An SBM component spanning the prefrontal-temporal-occipital network exhibited significantly lower GMV in BD-I compared to controls, but not between the other groups. The structural network covariance in BD-I was associated with the number of previous manic episodes and with worse executive performance. Compared to BD-II, BD-I showed a loss of GMV in the temporal-occipital regions, and this was correlated with impaired emotional processing. Altered prefrontal-temporal-occipital network structure could reflect a neural signature associated with visuospatial processing and problem-solving impairments as well as emotional processing and illness severity in BD-I. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11682-021-00541-5. Springer US 2021-09-21 2022 /pmc/articles/PMC9010334/ /pubmed/34546520 http://dx.doi.org/10.1007/s11682-021-00541-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Research Miola, Alessandro Trevisan, Nicolò Merola, Arcangelo Comini, Francesco Folena Olivo, Daniele Minerva, Matteo Valeggia, Silvia Toffanin, Tommaso Favaro, Angela Manara, Renzo Sambataro, Fabio Gray matter volume covariance networks are associated with altered emotional processing in bipolar disorder: a source-based morphometry study |
title | Gray matter volume covariance networks are associated with altered emotional processing in bipolar disorder: a source-based morphometry study |
title_full | Gray matter volume covariance networks are associated with altered emotional processing in bipolar disorder: a source-based morphometry study |
title_fullStr | Gray matter volume covariance networks are associated with altered emotional processing in bipolar disorder: a source-based morphometry study |
title_full_unstemmed | Gray matter volume covariance networks are associated with altered emotional processing in bipolar disorder: a source-based morphometry study |
title_short | Gray matter volume covariance networks are associated with altered emotional processing in bipolar disorder: a source-based morphometry study |
title_sort | gray matter volume covariance networks are associated with altered emotional processing in bipolar disorder: a source-based morphometry study |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9010334/ https://www.ncbi.nlm.nih.gov/pubmed/34546520 http://dx.doi.org/10.1007/s11682-021-00541-5 |
work_keys_str_mv | AT miolaalessandro graymattervolumecovariancenetworksareassociatedwithalteredemotionalprocessinginbipolardisorderasourcebasedmorphometrystudy AT trevisannicolo graymattervolumecovariancenetworksareassociatedwithalteredemotionalprocessinginbipolardisorderasourcebasedmorphometrystudy AT merolaarcangelo graymattervolumecovariancenetworksareassociatedwithalteredemotionalprocessinginbipolardisorderasourcebasedmorphometrystudy AT cominifrancescofolena graymattervolumecovariancenetworksareassociatedwithalteredemotionalprocessinginbipolardisorderasourcebasedmorphometrystudy AT olivodaniele graymattervolumecovariancenetworksareassociatedwithalteredemotionalprocessinginbipolardisorderasourcebasedmorphometrystudy AT minervamatteo graymattervolumecovariancenetworksareassociatedwithalteredemotionalprocessinginbipolardisorderasourcebasedmorphometrystudy AT valeggiasilvia graymattervolumecovariancenetworksareassociatedwithalteredemotionalprocessinginbipolardisorderasourcebasedmorphometrystudy AT toffanintommaso graymattervolumecovariancenetworksareassociatedwithalteredemotionalprocessinginbipolardisorderasourcebasedmorphometrystudy AT favaroangela graymattervolumecovariancenetworksareassociatedwithalteredemotionalprocessinginbipolardisorderasourcebasedmorphometrystudy AT manararenzo graymattervolumecovariancenetworksareassociatedwithalteredemotionalprocessinginbipolardisorderasourcebasedmorphometrystudy AT sambatarofabio graymattervolumecovariancenetworksareassociatedwithalteredemotionalprocessinginbipolardisorderasourcebasedmorphometrystudy |