Detailed Information on Publication Record
2022
Dynamics of fMRI connectivity associated with attention in patients with Parkinson’s disease
GAJDOŠ, Martin, Kristína MITTEROVÁ, Martin LAMOŠ and Irena REKTOROVÁBasic information
Original name
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
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Organization unit
Central European Institute of Technology
Keywords in English
fMRI; Parkinson’s disease; independent component analysis; sliding window analysis
Tags
International impact, Reviewed
Změněno: 22/8/2024 14:31, Mgr. Eva Dubská
Abstract
V originále
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 |
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