Connectivity Between Brain Networks Dynamically Reflects Cognitive Status Of Parkinson’S Disease

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31_eeict2019.pdf(677.94 KB)
Date
2019
Authors
Klobušiaková, Patrícia
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Mark
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Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract
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.
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Keywords
Parkinson’s disease, frontoparietal control network, resting state fMRI, mild cognitive impairment, between-network connectivity, graph measures, partial least squares
Citation
Proceedings of the 25st Conference STUDENT EEICT 2019. s. 31-33. ISBN 978-80-214-5735-5
http://www.feec.vutbr.cz/EEICT/
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Peer-reviewed
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en
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© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
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http://hdl.handle.net/11012/186610
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Student EEICT 2019
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