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

Neural Plasticity
Jianping HuZhiqiang Zhang

Abstract

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 networks after stroke. Here, we examined longitudinal alterations of FC temporal variability in brain networks after stroke. Nineteen stroke patients underwent resting fMRI scans across the acute stage (within-one-week after stroke), subacute stage (within-two-weeks after stroke), and early chronic stage (3-4 months after stroke). Nineteen age- and sex-matched healthy individuals were enrolled. Compared with the controls, stroke patients exhibited reduced regional temporal variability during the acute stages, which was recovered at the following two stages. Compared with the acute stage, the subacute stage exhibited increased temporal variability in the primary motor, auditory, and visual cortices. Across the three stages, the temporal variability in the ipsilesional precentral gyrus (PreCG) was increased first and then reduced. Increased temporal variability in the ipsilesional PreCG from the acute stage to the subacute stage was corre...Continue Reading

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Citations

Apr 26, 2019·European Journal of Neurology : the Official Journal of the European Federation of Neurological Societies·G LiuJ Zeng
Feb 13, 2020·Molecular Genetics & Genomic Medicine·Di WuLuping Zhang
May 2, 2020·Brain : a Journal of Neurology·Anna K BonkhoffChristian Grefkes
Aug 31, 2020·Journal of Clinical Laboratory Analysis·Fatemeh BitarafanMasoud Garshasbi
Mar 3, 2021·Human Brain Mapping·Anna K BonkhoffNatalia S Rost

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Software Mentioned

SPM8
SPSS
MATLAB
SPM8 Data Processing Assistant for Resting - State fMRI ( DPAR...

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