English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Dopaminergic modulation of local non-oscillatory activity and global-network properties in Parkinson’s disease: An EEG study

Zhang, J., Villringer, A., & Nikulin, V. V. (2022). Dopaminergic modulation of local non-oscillatory activity and global-network properties in Parkinson’s disease: An EEG study. Frontiers in Aging Neuroscience, 14: 846017. doi:10.3389/fnagi.2022.846017.

Item is

Basic

show hide
Genre: Journal Article

Files

show Files
hide Files
:
Zhang_2022.pdf (Publisher version), 8MB
Name:
Zhang_2022.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Zhang, Juanli1, 2, Author
Villringer, Arno1, 3, Author              
Nikulin, Vadim V.1, 4, Author              
Affiliations:
1Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
2Department of Neurology, Charité University Medicine Berlin, Germany, ou_persistent22              
3Clinic for Cognitive Neurology, University of Leipzig, Germany, ou_persistent22              
4Neurophysics Group, Department of Neurology, Charité University Medicine Berlin, Germany, ou_persistent22              

Content

show
hide
Free keywords: Parkinson’s disease; Dopaminergic medication; Spectral slope; Functional connectivity; Graph theory
 Abstract: Dopaminergic medication for Parkinson’s disease (PD) modulates neuronal oscillations and functional connectivity (FC) across the basal ganglia-thalamic-cortical circuit. However, the non-oscillatory component of the neuronal activity, potentially indicating a state of excitation/inhibition balance, has not yet been investigated and previous studies have shown inconsistent changes of cortico-cortical connectivity as a response to dopaminergic medication. To further elucidate changes of regional non-oscillatory component of the neuronal power spectra, FC, and to determine which aspects of network organization obtained with graph theory respond to dopaminergic medication, we analyzed a resting-state electroencephalography (EEG) dataset including 15 PD patients during OFF and ON medication conditions. We found that the spectral slope, typically used to quantify the broadband non-oscillatory component of power spectra, steepened particularly in the left central region in the ON compared to OFF condition. In addition, using lagged coherence as a FC measure, we found that the FC in the beta frequency range between centro-parietal and frontal regions was enhanced in the ON compared to the OFF condition. After applying graph theory analysis, we observed that at the lower level of topology the node degree was increased, particularly in the centro-parietal area. Yet, results showed no significant difference in global topological organization between the two conditions: either in global efficiency or clustering coefficient for measuring global and local integration, respectively. Interestingly, we found a close association between local/global spectral slope and functional network global efficiency in the OFF condition, suggesting a crucial role of local non-oscillatory dynamics in forming the functional global integration which characterizes PD. These results provide further evidence and a more complete picture for the engagement of multiple cortical regions at various levels in response to dopaminergic medication in PD.

Details

show
hide
Language(s): eng - English
 Dates: 2021-12-302022-03-312022-04-29
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.3389/fnagi.2022.846017
Other: eCollection 2022
PMID: 35572144
PMC: PMC9106139
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Frontiers in Aging Neuroscience
  Abbreviation : Front Aging Neurosci
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Lausanne : Frontiers Research Foundation
Pages: - Volume / Issue: 14 Sequence Number: 846017 Start / End Page: - Identifier: ISSN: 1663-4365
CoNE: https://pure.mpg.de/cone/journals/resource/1663-4365