Recent studies have shown that brain connectivity analyses offer valuable information in quantifying network alterations after stroke , which could further enhance our understanding the mechanism of stroke recovery. Given the issue of heterogeneous lesion locations, a recent approach, GMGLASS, is employed to alleviate this issue due to its capability in conducting group comparison studies despite large inter-subject variability. Furthermore, while previous studies have shown that homotopic connections are disrupted due to stroke lesions, how lesion laterality disrupts brain networks, especially at modular level, is not known yet. In this study, we quantified the whole-brain functional connectivity differences using network analysis methods; furthermore, we investigated disruption of homotopic connections at network modular level.
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