Dynamics of fMRI connectivity associated with attention in patients with Parkinson’s disease

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Authors	GAJDOŠ Martin MITTEROVÁ Kristína LAMOŠ Martin REKTOROVÁ Irena
Year of publication	2022
Type	Conference abstract
MU Faculty or unit	Central European Institute of Technology
Citation
Description	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.
Related projects:	Biomarkers of neurodegenerative diseases based on dynamic functional connectivity