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

May Bar-On, Shaked Baharav, Zoya Katzir, Anat Mirelman, Ronen Sosnik, Inbal Maidan*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)2031-2040
Number of pages10
JournalMovement Disorders
Volume38
Issue number11
DOIs
StatePublished - Nov 2023

Funding

FundersFunder number
FireFly Company
Neurodegenerative Disease Research
U.S. Department of Defense
Michael J. Fox Foundation for Parkinson's Research
Israel Science Foundation1157/20
Ministry of Science and Technology, Israel

    Keywords

    • EEG
    • Go/NoGo
    • Parkinson's disease
    • graph-theory

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