GAJDOŠ, Martin, Kristína MITTEROVÁ, Martin LAMOŠ and Irena REKTOROVÁ. Dynamics of fMRI connectivity associated with attention in patients with Parkinson’s disease. In OHBM 2022 Annual Meeting, Glasgow. 2022.
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Basic information
Original name Dynamics of fMRI connectivity associated with attention in patients with Parkinson’s disease
Authors GAJDOŠ, Martin, Kristína MITTEROVÁ, Martin LAMOŠ and Irena REKTOROVÁ.
Edition OHBM 2022 Annual Meeting, Glasgow, 2022.
Other information
Original language English
Type of outcome Conference abstract
Field of Study 30103 Neurosciences
Country of publisher United Kingdom of Great Britain and Northern Ireland
Confidentiality degree is not subject to a state or trade secret
WWW URL
Organization unit Central European Institute of Technology
Tags CF MAFIL
Tags International impact, Reviewed
Changed by Changed by: Mgr. Eva Dubská, učo 77638. Changed: 26/6/2024 08:54.
Abstract
Dynamic fMRI connectivity extends information reported with static fMRI connectivity. In this work, we focused on relation between changes in brain states and behavioral characteristics in patients with Parkinson’s disease (PD). Our dataset consists of 31 patients with PD (age 63.1 ± 10.2, 7 women) and 40 HC (age 66.0 ± 7.7 let, 29 women). We used independent component analysis (ICA) in toolbox GIFT for identification of large scale brain networks. We performed sliding window analysis on timeseries of mentioned ICA components. We observed statistically significant differences in dynamic parameters, probably relevant to preparation attentional activity of top-down type.
Links
NU21J-04-00077, research and development projectName: Využití dynamických parametrů funkční konektivity mozku jako diagnostického biomarkeru neurodegenerativních nemocí
Investor: Ministry of Health of the CR, Biomarkers of neurodegenerative diseases based on dynamic functional connectivity, Subprogram 2 - junior
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