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Aberrant structural covariance networks in youth at high familial risk for mood disorder

OBJECTIVES: Current research suggests significant disruptions in functional brain networks in individuals with mood disorder, and in those at familial risk. Studies of structural brain networks provide important insights into synchronized maturational change but have received less attention. We aime...

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Autores principales: Heinze, Kareen, Shen, Xueyi, Hawkins, Emma, Harris, Mathew A., de Nooij, Laura, McIntosh, Andrew M., Wood, Stephen J., Whalley, Heather C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7155114/
https://www.ncbi.nlm.nih.gov/pubmed/31724284
http://dx.doi.org/10.1111/bdi.12868
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author Heinze, Kareen
Shen, Xueyi
Hawkins, Emma
Harris, Mathew A.
de Nooij, Laura
McIntosh, Andrew M.
Wood, Stephen J.
Whalley, Heather C.
author_facet Heinze, Kareen
Shen, Xueyi
Hawkins, Emma
Harris, Mathew A.
de Nooij, Laura
McIntosh, Andrew M.
Wood, Stephen J.
Whalley, Heather C.
author_sort Heinze, Kareen
collection PubMed
description OBJECTIVES: Current research suggests significant disruptions in functional brain networks in individuals with mood disorder, and in those at familial risk. Studies of structural brain networks provide important insights into synchronized maturational change but have received less attention. We aimed to investigate developmental relationships of large‐scale brain networks in mood disorder using structural covariance (SC) analyses. METHODS: We conducted SC analysis of baseline structural imaging data from 121 at the time of scanning unaffected high risk (HR) individuals (29 later developed mood disorder after a median time of 4.95 years), and 89 healthy controls (C‐well) with no familial risk from the Scottish Bipolar Family Study (age 15‐27, 64% female). Voxel‐wise analyses of covariance were conducted to compare the associations between each seed region in visual, auditory, motor, speech, semantic, executive‐control, salience and default‐mode networks and the whole brain signal. SC maps were compared for (a) HR(all) versus C‐well individuals, and (b) between those who remained well (HR‐well), versus those who subsequently developed mood disorder (HR‐MD), and C‐well. RESULTS: There were no significant differences between HR(all) and C‐well individuals. On splitting the HR group based on subsequent clinical outcome, the HR‐MD group however displayed greater baseline SC in the salience and executive‐control network, and HR‐well individuals showed less SC in the salience network, compared to C‐well, respectively (P < .001). CONCLUSIONS: These findings indicate differences in network‐level inter‐regional relationships, especially within the salience network, which precede onset of mood disorder in those at familial risk.
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spelling pubmed-71551142020-04-15 Aberrant structural covariance networks in youth at high familial risk for mood disorder Heinze, Kareen Shen, Xueyi Hawkins, Emma Harris, Mathew A. de Nooij, Laura McIntosh, Andrew M. Wood, Stephen J. Whalley, Heather C. Bipolar Disord Research Articles OBJECTIVES: Current research suggests significant disruptions in functional brain networks in individuals with mood disorder, and in those at familial risk. Studies of structural brain networks provide important insights into synchronized maturational change but have received less attention. We aimed to investigate developmental relationships of large‐scale brain networks in mood disorder using structural covariance (SC) analyses. METHODS: We conducted SC analysis of baseline structural imaging data from 121 at the time of scanning unaffected high risk (HR) individuals (29 later developed mood disorder after a median time of 4.95 years), and 89 healthy controls (C‐well) with no familial risk from the Scottish Bipolar Family Study (age 15‐27, 64% female). Voxel‐wise analyses of covariance were conducted to compare the associations between each seed region in visual, auditory, motor, speech, semantic, executive‐control, salience and default‐mode networks and the whole brain signal. SC maps were compared for (a) HR(all) versus C‐well individuals, and (b) between those who remained well (HR‐well), versus those who subsequently developed mood disorder (HR‐MD), and C‐well. RESULTS: There were no significant differences between HR(all) and C‐well individuals. On splitting the HR group based on subsequent clinical outcome, the HR‐MD group however displayed greater baseline SC in the salience and executive‐control network, and HR‐well individuals showed less SC in the salience network, compared to C‐well, respectively (P < .001). CONCLUSIONS: These findings indicate differences in network‐level inter‐regional relationships, especially within the salience network, which precede onset of mood disorder in those at familial risk. John Wiley and Sons Inc. 2019-11-23 2020-03 /pmc/articles/PMC7155114/ /pubmed/31724284 http://dx.doi.org/10.1111/bdi.12868 Text en © 2019 The Authors. Bipolar Disorders published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Heinze, Kareen
Shen, Xueyi
Hawkins, Emma
Harris, Mathew A.
de Nooij, Laura
McIntosh, Andrew M.
Wood, Stephen J.
Whalley, Heather C.
Aberrant structural covariance networks in youth at high familial risk for mood disorder
title Aberrant structural covariance networks in youth at high familial risk for mood disorder
title_full Aberrant structural covariance networks in youth at high familial risk for mood disorder
title_fullStr Aberrant structural covariance networks in youth at high familial risk for mood disorder
title_full_unstemmed Aberrant structural covariance networks in youth at high familial risk for mood disorder
title_short Aberrant structural covariance networks in youth at high familial risk for mood disorder
title_sort aberrant structural covariance networks in youth at high familial risk for mood disorder
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7155114/
https://www.ncbi.nlm.nih.gov/pubmed/31724284
http://dx.doi.org/10.1111/bdi.12868
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