Dynamic Network Analysis Reveals Altered Temporal Variability in Brain Regions after Stroke: A Longitudinal Resting-State fMRI Study

Dynamic Network Analysis Reveals Altered Temporal Variability in Brain Regions after Stroke: A Longitudinal Resting-State fMRI Study

Recent fMRI studies have demonstrated that resting-state functional connectivity (FC) is of nonstationarity. Temporal variability of FC reflects the dynamic nature of brain activity. Exploring temporal variability of FC offers a new approach to investigate reorganization and integration of brain net...

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Bibliographic Details
Main Authors: Jianping Hu, Juan Du, Qiang Xu, Fang Yang, Fanyong Zeng, Yifei Weng, Xi-jian Dai, Rongfeng Qi, Xiaoxue Liu, Guangming Lu, Zhiqiang Zhang
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Neural Plasticity
Online Access:http://dx.doi.org/10.1155/2018/9394156

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