Cargando…
Exploring white matter functional networks in children with attention-deficit/hyperactivity disorder
Attention-deficit/hyperactivity disorder has been identified to involve the impairment of large-scale functional networks within grey matter, and recent studies have suggested that white matter, which also encodes neural activity, can manifest intrinsic functional organization similar to that of gre...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660033/ https://www.ncbi.nlm.nih.gov/pubmed/33215081 http://dx.doi.org/10.1093/braincomms/fcaa113 |
_version_ | 1783608921704890368 |
---|---|
author | Bu, Xuan Liang, Kaili Lin, Qingxia Gao, Yingxue Qian, Andan Chen, Hong Chen, Wanying Wang, Meihao Yang, Chuang Huang, Xiaoqi |
author_facet | Bu, Xuan Liang, Kaili Lin, Qingxia Gao, Yingxue Qian, Andan Chen, Hong Chen, Wanying Wang, Meihao Yang, Chuang Huang, Xiaoqi |
author_sort | Bu, Xuan |
collection | PubMed |
description | Attention-deficit/hyperactivity disorder has been identified to involve the impairment of large-scale functional networks within grey matter, and recent studies have suggested that white matter, which also encodes neural activity, can manifest intrinsic functional organization similar to that of grey matter. However, the alterations in white matter functional networks in attention-deficit/hyperactivity disorder remain unknown. We recruited a total of 99 children, including 66 drug-naive patients and 33 typically developing controls aged from 6 to 14, to characterize the alterations in functional networks within white matter in drug-naive children with attention-deficit/hyperactivity disorder. Using clustering analysis, resting-state functional MRI data in the white matter were parsed into different networks. Intrinsic activity within each network and connectivity between networks and the associations between network activity strength and clinical symptoms were assessed. We identified eight distinct white matter functional networks: the default mode network, the somatomotor network, the dorsal attention network, the ventral attention network, the visual network, the deep frontoparietal network, the deep frontal network and the inferior corticospinal-posterior cerebellum network. The default mode, somatomotor, dorsal attention and ventral attention networks showed lower spontaneous neural activity in patients. In particular, the default mode network and the somatomotor network largely showed higher connectivity with other networks, which correlated with more severe hyperactive behaviour, while the dorsal and ventral attention networks mainly had lower connectivity with other networks, which correlated with poor attention performance. In conclusion, there are two distinct patterns of white matter functional networks in children with attention-deficit/hyperactivity disorder, with one being the hyperactivity-related hot networks including default mode network and somatomotor network and the other being inattention-related cold networks including dorsal attention and ventral attention network. These results extended upon our understanding of brain functional networks in attention-deficit/hyperactivity disorder from the perspective of white matter dysfunction. |
format | Online Article Text |
id | pubmed-7660033 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-76600332020-11-18 Exploring white matter functional networks in children with attention-deficit/hyperactivity disorder Bu, Xuan Liang, Kaili Lin, Qingxia Gao, Yingxue Qian, Andan Chen, Hong Chen, Wanying Wang, Meihao Yang, Chuang Huang, Xiaoqi Brain Commun Original Article Attention-deficit/hyperactivity disorder has been identified to involve the impairment of large-scale functional networks within grey matter, and recent studies have suggested that white matter, which also encodes neural activity, can manifest intrinsic functional organization similar to that of grey matter. However, the alterations in white matter functional networks in attention-deficit/hyperactivity disorder remain unknown. We recruited a total of 99 children, including 66 drug-naive patients and 33 typically developing controls aged from 6 to 14, to characterize the alterations in functional networks within white matter in drug-naive children with attention-deficit/hyperactivity disorder. Using clustering analysis, resting-state functional MRI data in the white matter were parsed into different networks. Intrinsic activity within each network and connectivity between networks and the associations between network activity strength and clinical symptoms were assessed. We identified eight distinct white matter functional networks: the default mode network, the somatomotor network, the dorsal attention network, the ventral attention network, the visual network, the deep frontoparietal network, the deep frontal network and the inferior corticospinal-posterior cerebellum network. The default mode, somatomotor, dorsal attention and ventral attention networks showed lower spontaneous neural activity in patients. In particular, the default mode network and the somatomotor network largely showed higher connectivity with other networks, which correlated with more severe hyperactive behaviour, while the dorsal and ventral attention networks mainly had lower connectivity with other networks, which correlated with poor attention performance. In conclusion, there are two distinct patterns of white matter functional networks in children with attention-deficit/hyperactivity disorder, with one being the hyperactivity-related hot networks including default mode network and somatomotor network and the other being inattention-related cold networks including dorsal attention and ventral attention network. These results extended upon our understanding of brain functional networks in attention-deficit/hyperactivity disorder from the perspective of white matter dysfunction. Oxford University Press 2020-07-21 /pmc/articles/PMC7660033/ /pubmed/33215081 http://dx.doi.org/10.1093/braincomms/fcaa113 Text en © The Author(s) (2020). Published by Oxford University Press on behalf of the Guarantors of Brain. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Article Bu, Xuan Liang, Kaili Lin, Qingxia Gao, Yingxue Qian, Andan Chen, Hong Chen, Wanying Wang, Meihao Yang, Chuang Huang, Xiaoqi Exploring white matter functional networks in children with attention-deficit/hyperactivity disorder |
title | Exploring white matter functional networks in children with attention-deficit/hyperactivity disorder |
title_full | Exploring white matter functional networks in children with attention-deficit/hyperactivity disorder |
title_fullStr | Exploring white matter functional networks in children with attention-deficit/hyperactivity disorder |
title_full_unstemmed | Exploring white matter functional networks in children with attention-deficit/hyperactivity disorder |
title_short | Exploring white matter functional networks in children with attention-deficit/hyperactivity disorder |
title_sort | exploring white matter functional networks in children with attention-deficit/hyperactivity disorder |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660033/ https://www.ncbi.nlm.nih.gov/pubmed/33215081 http://dx.doi.org/10.1093/braincomms/fcaa113 |
work_keys_str_mv | AT buxuan exploringwhitematterfunctionalnetworksinchildrenwithattentiondeficithyperactivitydisorder AT liangkaili exploringwhitematterfunctionalnetworksinchildrenwithattentiondeficithyperactivitydisorder AT linqingxia exploringwhitematterfunctionalnetworksinchildrenwithattentiondeficithyperactivitydisorder AT gaoyingxue exploringwhitematterfunctionalnetworksinchildrenwithattentiondeficithyperactivitydisorder AT qianandan exploringwhitematterfunctionalnetworksinchildrenwithattentiondeficithyperactivitydisorder AT chenhong exploringwhitematterfunctionalnetworksinchildrenwithattentiondeficithyperactivitydisorder AT chenwanying exploringwhitematterfunctionalnetworksinchildrenwithattentiondeficithyperactivitydisorder AT wangmeihao exploringwhitematterfunctionalnetworksinchildrenwithattentiondeficithyperactivitydisorder AT yangchuang exploringwhitematterfunctionalnetworksinchildrenwithattentiondeficithyperactivitydisorder AT huangxiaoqi exploringwhitematterfunctionalnetworksinchildrenwithattentiondeficithyperactivitydisorder |