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

Klobušiaková, Patrícia

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

but.event.date	25.04.2019	cs
but.event.title	Student EEICT 2019	cs
dc.contributor.author	Klobušiaková, Patrícia
dc.date.accessioned	2020-04-16T07:19:26Z
dc.date.available	2020-04-16T07:19:26Z
dc.date.issued	2019	cs
dc.description.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.	en
dc.format	text	cs
dc.format.extent	31-33	cs
dc.format.mimetype	application/pdf	en
dc.identifier.citation	Proceedings of the 25st Conference STUDENT EEICT 2019. s. 31-33. ISBN 978-80-214-5735-5	cs
dc.identifier.isbn	978-80-214-5735-5
dc.identifier.uri	http://hdl.handle.net/11012/186610
dc.language.iso	en	cs
dc.publisher	Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií	cs
dc.relation.ispartof	Proceedings of the 25st Conference STUDENT EEICT 2019	en
dc.relation.uri	http://www.feec.vutbr.cz/EEICT/	cs
dc.rights	© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií	cs
dc.rights.access	openAccess	en
dc.subject	Parkinson’s disease	en
dc.subject	frontoparietal control network	en
dc.subject	resting state fMRI	en
dc.subject	mild cognitive impairment	en
dc.subject	between-network connectivity	en
dc.subject	graph measures	en
dc.subject	partial least squares	en
dc.title	Connectivity Between Brain Networks Dynamically Reflects Cognitive Status Of Parkinson’S Disease	en
dc.type.driver	conferenceObject	en
dc.type.status	Peer-reviewed	en
dc.type.version	publishedVersion	en
eprints.affiliatedInstitution.department	Fakulta elektrotechniky a komunikačních technologií	cs

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