Connectivity Between Brain Networks Dynamically Reflects Cognitive Status Of Parkinson’S Disease
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Parkinson’s disease patients display a less efficient transfer of information globally and reduced between-network connectivity of large-scale brain networks as compared to healthy controls. Between-network connectivity increases with worse cognitive status, reflecting compensatory efforts. This pattern is observed in the results of each complementary method applied: seed-based between-network connectivity analysis, partial least squares analysis and graph theory measures analysis. Longitudinal studies with longer follow-up periods might show whether distinct internetwork connectivity patterns may predict dementia conversion in Parkinson’s disease.
KeywordsParkinson’s disease, frontoparietal control network, resting state fMRI, mild cognitive impairment, between-network connectivity, graph measures, partial least squares
Document typePeer reviewed
Document versionFinal PDF
SourceProceedings of the 25st Conference STUDENT EEICT 2019. s. 31-33. ISBN 978-80-214-5735-5
- Student EEICT 2019