Dynamics of fMRI connectivity associated with attention in patients with Parkinson’s disease
Authors
GAJDOŠ, Martin (203 Czech Republic, guarantor, belonging to the institution), Kristína MITTEROVÁ (703 Slovakia, belonging to the institution), Martin LAMOŠ (203 Czech Republic, belonging to the institution) and Irena REKTOROVÁ (203 Czech Republic, belonging to the institution)
Edition
OHBM 2022 Annual Meeting, Glasgow, 2022
Other information
Language
English
Type of outcome
Konferenční abstrakt
Field of Study
30103 Neurosciences
Country of publisher
United Kingdom of Great Britain and Northern Ireland
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 project
Name: 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