Abnormal brain functional network dynamics in sleep‐related hypermotor epilepsy

Aims This study aimed to use resting‐state functional magnetic resonance imaging (rs‐fMRI) to determine the temporal features of functional connectivity states and changes in connectivity strength in sleep‐related hypermotor epilepsy (SHE). Methods High‐resolution T1 and rs‐fMRI scanning were perfor...

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Veröffentlicht in:	CNS neuroscience & therapeutics Jg. 29; H. 2; S. 659 - 668
Hauptverfasser:	Wan, Xinyue, Zhang, Pengfei, Wang, Weina, Wu, Xintong, Tan, Qiaoyue, Su, Xiaorui, Zhang, Simin, Yang, Xibiao, Li, Shuang, Shao, Hanbing, Yue, Qiang, Gong, Qiyong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England John Wiley & Sons, Inc 01.02.2023
Schlagworte:	Brain Brain - diagnostic imaging Brain mapping Brain Mapping - methods China Cluster analysis Convulsions & seizures dynamic functional network connectivity Epilepsy Epilepsy - diagnostic imaging Ethnicity Functional magnetic resonance imaging Humans independent component analysis Magnetic resonance imaging Magnetic Resonance Imaging - methods Medical imaging network‐based statistics Neural networks Neural Pathways - diagnostic imaging Neuroimaging resting‐state functional magnetic resonance imaging Seizures Sleep sleep‐related hypermotor epilepsy Statistical analysis Temporal variations China resting-state functional magnetic resonance imaging independent component analysis sleep-related hypermotor epilepsy network-based statistics dynamic functional network connectivity
ISSN:	1755-5930, 1755-5949, 1755-5949
Online-Zugang:	Volltext
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