2018
DOI: 10.1155/2018/9394156
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Dynamic Network Analysis Reveals Altered Temporal Variability in Brain Regions after Stroke: A Longitudinal Resting-State fMRI Study

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… Show more

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Cited by 35 publications
(27 citation statements)
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“…This circumstance can lead to potential confounds—that, on the other hand, can be alleviated when contrasting patient subgroups with conceivably more similar risk profiles. Furthermore, our dataset is comparable in size with prior dynamic functional connectivity studies in the first few days after stroke (Hu et al, 2018: 19 patients; Bonkhoff, Espinoza, et al, 2020: 31 patients; Bonkhoff, Rehme, et al, 2020: 54 patients). Notably, one of our main findings, that is, favored transiently increased segregation in case of a high stroke severity, is well in line with previous reports of increased transition likelihood to segregated states in case of severe motor impairments (Bonkhoff, Espinoza, et al, 2020).…”
Section: Discussionsupporting
confidence: 73%
“…This circumstance can lead to potential confounds—that, on the other hand, can be alleviated when contrasting patient subgroups with conceivably more similar risk profiles. Furthermore, our dataset is comparable in size with prior dynamic functional connectivity studies in the first few days after stroke (Hu et al, 2018: 19 patients; Bonkhoff, Espinoza, et al, 2020: 31 patients; Bonkhoff, Rehme, et al, 2020: 54 patients). Notably, one of our main findings, that is, favored transiently increased segregation in case of a high stroke severity, is well in line with previous reports of increased transition likelihood to segregated states in case of severe motor impairments (Bonkhoff, Espinoza, et al, 2020).…”
Section: Discussionsupporting
confidence: 73%
“…It is unique in its approach of assessing acute alterations in dynamic connectivity exclusively within strata of variably affected stroke patients, without the direct comparison to a healthy control group. Furthermore, it is comparable in size with prior dynamic functional connectivity studies in the first few days after stroke ( 59 : 19 patients; 18 : 31 patients). Notably, one of our main findings, i.e.…”
Section: Further Limitations and Future Directionssupporting
confidence: 66%
“…The other possible reason is that the enrolled patients were at different infarction stages. Differences in regional temporal variability among the acute, subacute, and chronic stages have been reported in stroke patients using dynamic network analysis( Hu et al, 2018 ). Future studies will need to investigate whether there are different organizational structures of dFNC among PS patients with infarction stages.…”
Section: Discussionmentioning
confidence: 99%