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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2020-12-01
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doaj-7fa6b3f28b5e4e0c873f7a592116a3712020-12-20T12:27:46ZengNature Publishing GroupScientific Reports2045-23222020-12-0110111210.1038/s41598-020-77137-4Sex-specific differences in resting-state functional connectivity of large-scale networks in postconcussion syndromeReema Shafi0Adrian P. Crawley1Maria Carmela Tartaglia2Charles H. Tator3Robin E. Green4David J. Mikulis5Angela Colantonio6Rehabilitation Sciences Institute, University of TorontoDepartment of Medical Imaging, Toronto Western HospitalTanz Centre for Research in Neurodegenerative Diseases, University of TorontoInstitute of Medical Sciences, University of TorontoRehabilitation Sciences Institute, University of TorontoDepartment of Medical Imaging, Toronto Western HospitalRehabilitation Sciences Institute, University of TorontoAbstract 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.https://doi.org/10.1038/s41598-020-77137-4 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Reema Shafi Adrian P. Crawley Maria Carmela Tartaglia Charles H. Tator Robin E. Green David J. Mikulis Angela Colantonio |
spellingShingle |
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 Scientific Reports |
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 Publishing Group |
series |
Scientific Reports |
issn |
2045-2322 |
publishDate |
2020-12-01 |
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. |
url |
https://doi.org/10.1038/s41598-020-77137-4 |
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