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

Datos Bibliográficos

ID15522752
AutoresYanzhe Ning (0000-0002-6439-522X, Capital Medical University), Meng Fang (0009-0009-4761-9162, Capital Medical University), Yong Zhang (0000-0001-6711-5791, Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine), Sitong Feng (0000-0003-1819-9241, Capital Medical University), Zhengtian Feng (Capital Medical University), Xinzi Liu (Beijing Anding Hospital), Kuangshi Li (0000-0001-7998-269X, Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, autor de correspondencia), Hongxiao Jia (0000-0002-4924-1388, Capital Medical University, autor de correspondencia)
Año2022
Volumen12
Páginas802830-802830
Fecha de publicación2022-02-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaFrontiers in Psychiatry (JOURNAL)
Identificadores de la revistaISSN: 1664-0640 • E-ISSN: 1664-0640
EditorialFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2021.802830
PMID35177998
OpenAlexW4210457154
IdiomaEN
Referencias citadas38

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

Attention network · Diffusion MRI · Magnetic resonance imaging · Neuroimaging · Tractography · White matter · Advanced MRI Techniques and Applications · Advanced Neuroimaging Techniques and Applications · Computer Science · Functional Brain Connectivity Studies · Medicine · Neuroscience · Psychology · Artificial Intelligence

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