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Cortical network organization reflects clinical response to subthalamic nucleus deep brain stimulation in Parkinson's disease
M. Bočková, E. Výtvarová, M. Lamoš, P. Klimeš, P. Jurák, J. Halámek, S. Goldemundová, M. Baláž, I. Rektor
Language English Country United States
Document type Journal Article, Research Support, Non-U.S. Gov't
NLK
Directory of Open Access Journals
from 2020
PubMed Central
from 1998
ProQuest Central
from 2021-08-01
Medline Complete (EBSCOhost)
from 2012-07-01
Health & Medicine (ProQuest)
from 2021-08-01
Wiley-Blackwell Open Access Titles
from 2020
ROAD: Directory of Open Access Scholarly Resources
from 1993
PubMed
34448523
DOI
10.1002/hbm.25642
Knihovny.cz E-resources
- MeSH
- Electroencephalography MeSH
- Deep Brain Stimulation * MeSH
- Outcome Assessment, Health Care MeSH
- Middle Aged MeSH
- Humans MeSH
- Cerebral Cortex physiopathology MeSH
- Nerve Net physiopathology MeSH
- Subthalamic Nucleus physiopathology MeSH
- Parkinson Disease physiopathology therapy MeSH
- Psychomotor Performance physiology MeSH
- Aged MeSH
- Check Tag
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
The degree of response to subthalamic nucleus deep brain stimulation (STN-DBS) is individual and hardly predictable. We hypothesized that DBS-related changes in cortical network organization are related to the clinical effect. Network analysis based on graph theory was used to evaluate the high-density electroencephalography (HDEEG) recorded during a visual three-stimuli paradigm in 32 Parkinson's disease (PD) patients treated by STN-DBS in stimulation "off" and "on" states. Preprocessed scalp data were reconstructed into the source space and correlated to the behavioral parameters. In the majority of patients (n = 26), STN-DBS did not lead to changes in global network organization in large-scale brain networks. In a subgroup of suboptimal responders (n = 6), identified according to reaction times (RT) and clinical parameters (lower Unified Parkinson's Disease Rating Scale [UPDRS] score improvement after DBS and worse performance in memory tests), decreased global connectivity in the 1-8 Hz frequency range and regional node strength in frontal areas were detected. The important role of the supplementary motor area for the optimal DBS response was demonstrated by the increased node strength and eigenvector centrality in good responders. This response was missing in the suboptimal responders. Cortical topologic architecture is modified by the response to STN-DBS leading to a dysfunction of the large-scale networks in suboptimal responders.
Faculty of Informatics Masaryk University Brno Czech Republic
Institute of Scientific Instruments of the Czech Academy of Sciences v v i Brno Czech Republic
References provided by Crossref.org
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