Sex-specific differences in resting-state functional connectivity of large-scale networks in postconcussion syndrome

Abstract Concussions are associated with a range of cognitive, neuropsychological and behavioral sequelae that, at times, persist beyond typical recovery times and are referred to as postconcussion syndrome (PCS). There is growing support that concussion can disrupt network-based connectivity post-i...

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Autores principales: Reema Shafi, Adrian P. Crawley, Maria Carmela Tartaglia, Charles H. Tator, Robin E. Green, David J. Mikulis, Angela Colantonio
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Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/7fa6b3f28b5e4e0c873f7a592116a371
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spelling oai:doaj.org-article:7fa6b3f28b5e4e0c873f7a592116a3712021-12-02T11:57:56ZSex-specific differences in resting-state functional connectivity of large-scale networks in postconcussion syndrome10.1038/s41598-020-77137-42045-2322https://doaj.org/article/7fa6b3f28b5e4e0c873f7a592116a3712020-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-77137-4https://doaj.org/toc/2045-2322Abstract Concussions are associated with a range of cognitive, neuropsychological and behavioral sequelae that, at times, persist beyond typical recovery times and are referred to as postconcussion syndrome (PCS). There is growing support that concussion can disrupt network-based connectivity post-injury. To date, a significant knowledge gap remains regarding the sex-specific impact of concussion on resting state functional connectivity (rs-FC). The aims of this study were to (1) investigate the injury-based rs-FC differences across three large-scale neural networks and (2) explore the sex-specific impact of injury on network-based connectivity. MRI data was collected from a sample of 80 concussed participants who fulfilled the criteria for postconcussion syndrome and 31 control participants who did not have any history of concussion. Connectivity maps between network nodes and brain regions were used to assess connectivity using the Functional Connectivity (CONN) toolbox. Network based statistics showed that concussed participants were significantly different from healthy controls across both salience and fronto-parietal network nodes. More specifically, distinct subnetwork components were identified in the concussed sample, with hyperconnected frontal nodes and hypoconnected posterior nodes across both the salience and fronto-parietal networks, when compared to the healthy controls. Node-to-region analyses showed sex-specific differences across association cortices, however, driven by distinct networks. Sex-specific network-based alterations in rs-FC post concussion need to be examined to better understand the underlying mechanisms and associations to clinical outcomes.Reema ShafiAdrian P. CrawleyMaria Carmela TartagliaCharles H. TatorRobin E. GreenDavid J. MikulisAngela ColantonioNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-12 (2020)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Reema Shafi
Adrian P. Crawley
Maria Carmela Tartaglia
Charles H. Tator
Robin E. Green
David J. Mikulis
Angela Colantonio
Sex-specific differences in resting-state functional connectivity of large-scale networks in postconcussion syndrome
description Abstract Concussions are associated with a range of cognitive, neuropsychological and behavioral sequelae that, at times, persist beyond typical recovery times and are referred to as postconcussion syndrome (PCS). There is growing support that concussion can disrupt network-based connectivity post-injury. To date, a significant knowledge gap remains regarding the sex-specific impact of concussion on resting state functional connectivity (rs-FC). The aims of this study were to (1) investigate the injury-based rs-FC differences across three large-scale neural networks and (2) explore the sex-specific impact of injury on network-based connectivity. MRI data was collected from a sample of 80 concussed participants who fulfilled the criteria for postconcussion syndrome and 31 control participants who did not have any history of concussion. Connectivity maps between network nodes and brain regions were used to assess connectivity using the Functional Connectivity (CONN) toolbox. Network based statistics showed that concussed participants were significantly different from healthy controls across both salience and fronto-parietal network nodes. More specifically, distinct subnetwork components were identified in the concussed sample, with hyperconnected frontal nodes and hypoconnected posterior nodes across both the salience and fronto-parietal networks, when compared to the healthy controls. Node-to-region analyses showed sex-specific differences across association cortices, however, driven by distinct networks. Sex-specific network-based alterations in rs-FC post concussion need to be examined to better understand the underlying mechanisms and associations to clinical outcomes.
format article
author Reema Shafi
Adrian P. Crawley
Maria Carmela Tartaglia
Charles H. Tator
Robin E. Green
David J. Mikulis
Angela Colantonio
author_facet Reema Shafi
Adrian P. Crawley
Maria Carmela Tartaglia
Charles H. Tator
Robin E. Green
David J. Mikulis
Angela Colantonio
author_sort Reema Shafi
title Sex-specific differences in resting-state functional connectivity of large-scale networks in postconcussion syndrome
title_short Sex-specific differences in resting-state functional connectivity of large-scale networks in postconcussion syndrome
title_full Sex-specific differences in resting-state functional connectivity of large-scale networks in postconcussion syndrome
title_fullStr Sex-specific differences in resting-state functional connectivity of large-scale networks in postconcussion syndrome
title_full_unstemmed Sex-specific differences in resting-state functional connectivity of large-scale networks in postconcussion syndrome
title_sort sex-specific differences in resting-state functional connectivity of large-scale networks in postconcussion syndrome
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/7fa6b3f28b5e4e0c873f7a592116a371
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