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Task‐Related Reorganization of Cognitive Network in Parkinson's Disease Using Electrophysiology.

Authors :
Bar‐On, May
Baharav, Shaked
Katzir, Zoya
Mirelman, Anat
Sosnik, Ronen
Maidan, Inbal
Source :
Movement Disorders; Nov2023, Vol. 38 Issue 11, p2031-2040, 10p
Publication Year :
2023

Abstract

Background: Cognitive deficits in Parkinson's disease (PD) patients are well described, however, their underlying neural mechanisms as assessed by electrophysiology are not clear. Objectives: To reveal specific neural network alterations during the performance of cognitive tasks in PD patients using electroencephalography (EEG). Methods: Ninety participants, 60 PD patients and 30 controls underwent EEG recording while performing a GO/NOGO task. Source localization of 16 regions of interest known to play a pivotal role in GO/NOGO task was performed to assess power density and connectivity within this cognitive network. The connectivity matrices were evaluated using a graph‐theory approach that included measures of cluster‐coefficient, degree, and global‐efficiency. A mixed‐model analysis, corrected for age and levodopa equivalent daily dose was performed to examine neural changes between PD patients and controls. Results: PD patients performed worse in the GO/NOGO task (P < 0.001). The power density was higher in δ and θ bands, but lower in α and β bands in PD patients compared to controls (interaction group × band: P < 0.001), indicating a general slowness within the network. Patients had more connections within the network (P < 0.034) than controls and these were used for graph‐theory analysis. Differences between groups in graph‐theory measures were found only in cluster‐coefficient, which was higher in PD compared to controls (interaction group × band: P < 0.001). Conclusions: Cognitive deficits in PD are underlined by alterations at the brain network level, including higher δ and θ activity, lower α and β activity, increased connectivity, and segregated network organization. These findings may have important implications on future adaptive deep brain stimulation. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08853185
Volume :
38
Issue :
11
Database :
Complementary Index
Journal :
Movement Disorders
Publication Type :
Academic Journal
Accession number :
173926046
Full Text :
https://doi.org/10.1002/mds.29571