Cargando…

Attention Performance Correlated With White Matter Structural Brain Networks in Shift Work Disorder

Neuroimaging studies have revealed that shift work disorder (SWD) affected the functional connectivity in specific brain regions and networks. However, topological disruptions in the structural connectivity of the white matter (WM) networks associated with attention function remain poorly understood...

Descripción completa

Detalles Bibliográficos
Autores principales: Ning, Yanzhe, Fang, Meng, Zhang, Yong, Feng, Sitong, Feng, Zhengtian, Liu, Xinzi, Li, Kuangshi, Jia, Hongxiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8843848/
https://www.ncbi.nlm.nih.gov/pubmed/35177998
http://dx.doi.org/10.3389/fpsyt.2021.802830
_version_ 1784651353964937216
author Ning, Yanzhe
Fang, Meng
Zhang, Yong
Feng, Sitong
Feng, Zhengtian
Liu, Xinzi
Li, Kuangshi
Jia, Hongxiao
author_facet Ning, Yanzhe
Fang, Meng
Zhang, Yong
Feng, Sitong
Feng, Zhengtian
Liu, Xinzi
Li, Kuangshi
Jia, Hongxiao
author_sort Ning, Yanzhe
collection PubMed
description Neuroimaging studies have revealed that shift work disorder (SWD) affected the functional connectivity in specific brain regions and networks. However, topological disruptions in the structural connectivity of the white matter (WM) networks associated with attention function remain poorly understood. In the current study, we recruited 33 patients with SWD and 29 matched healthy subjects. The attention network test (ANT) was employed to investigate the efficiency of alerting, orienting, and executive control networks. The diffusion tensor imaging (DTI) tractography was used to construct the WM structural networks. The graph theory analysis was applied to detect the alterations of topological properties of structural networks. Our results showed lower alerting effect and higher executive effect for patients with SWD. Using the link-based analysis, 15 altered connectivity matrices (lower fiber numbers) were found between the two groups. Meanwhile, the graph theoretical analysis showed that the global efficiency and characteristic path length within SWD patients declined in contrast with the healthy controls. Furthermore, a significantly negative correlation was found between the executive effect and global network efficiency. Our findings provide the new insights into the fundamental architecture of interregional structural connectivity underlying attention deficits in SWD, which may be a potential biomarker for SWD.
format Online
Article
Text
id pubmed-8843848
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-88438482022-02-16 Attention Performance Correlated With White Matter Structural Brain Networks in Shift Work Disorder Ning, Yanzhe Fang, Meng Zhang, Yong Feng, Sitong Feng, Zhengtian Liu, Xinzi Li, Kuangshi Jia, Hongxiao Front Psychiatry Psychiatry Neuroimaging studies have revealed that shift work disorder (SWD) affected the functional connectivity in specific brain regions and networks. However, topological disruptions in the structural connectivity of the white matter (WM) networks associated with attention function remain poorly understood. In the current study, we recruited 33 patients with SWD and 29 matched healthy subjects. The attention network test (ANT) was employed to investigate the efficiency of alerting, orienting, and executive control networks. The diffusion tensor imaging (DTI) tractography was used to construct the WM structural networks. The graph theory analysis was applied to detect the alterations of topological properties of structural networks. Our results showed lower alerting effect and higher executive effect for patients with SWD. Using the link-based analysis, 15 altered connectivity matrices (lower fiber numbers) were found between the two groups. Meanwhile, the graph theoretical analysis showed that the global efficiency and characteristic path length within SWD patients declined in contrast with the healthy controls. Furthermore, a significantly negative correlation was found between the executive effect and global network efficiency. Our findings provide the new insights into the fundamental architecture of interregional structural connectivity underlying attention deficits in SWD, which may be a potential biomarker for SWD. Frontiers Media S.A. 2022-02-01 /pmc/articles/PMC8843848/ /pubmed/35177998 http://dx.doi.org/10.3389/fpsyt.2021.802830 Text en Copyright © 2022 Ning, Fang, Zhang, Feng, Feng, Liu, Li and Jia. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychiatry
Ning, Yanzhe
Fang, Meng
Zhang, Yong
Feng, Sitong
Feng, Zhengtian
Liu, Xinzi
Li, Kuangshi
Jia, Hongxiao
Attention Performance Correlated With White Matter Structural Brain Networks in Shift Work Disorder
title Attention Performance Correlated With White Matter Structural Brain Networks in Shift Work Disorder
title_full Attention Performance Correlated With White Matter Structural Brain Networks in Shift Work Disorder
title_fullStr Attention Performance Correlated With White Matter Structural Brain Networks in Shift Work Disorder
title_full_unstemmed Attention Performance Correlated With White Matter Structural Brain Networks in Shift Work Disorder
title_short Attention Performance Correlated With White Matter Structural Brain Networks in Shift Work Disorder
title_sort attention performance correlated with white matter structural brain networks in shift work disorder
topic Psychiatry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8843848/
https://www.ncbi.nlm.nih.gov/pubmed/35177998
http://dx.doi.org/10.3389/fpsyt.2021.802830
work_keys_str_mv AT ningyanzhe attentionperformancecorrelatedwithwhitematterstructuralbrainnetworksinshiftworkdisorder
AT fangmeng attentionperformancecorrelatedwithwhitematterstructuralbrainnetworksinshiftworkdisorder
AT zhangyong attentionperformancecorrelatedwithwhitematterstructuralbrainnetworksinshiftworkdisorder
AT fengsitong attentionperformancecorrelatedwithwhitematterstructuralbrainnetworksinshiftworkdisorder
AT fengzhengtian attentionperformancecorrelatedwithwhitematterstructuralbrainnetworksinshiftworkdisorder
AT liuxinzi attentionperformancecorrelatedwithwhitematterstructuralbrainnetworksinshiftworkdisorder
AT likuangshi attentionperformancecorrelatedwithwhitematterstructuralbrainnetworksinshiftworkdisorder
AT jiahongxiao attentionperformancecorrelatedwithwhitematterstructuralbrainnetworksinshiftworkdisorder