Suboptimal response to STN-DBS in Parkinson's disease can be identified via reaction times in a motor cognitive paradigm
Language English Country Austria Media print-electronic
Document type Journal Article, Research Support, Non-U.S. Gov't
PubMed
32965592
DOI
10.1007/s00702-020-02254-3
PII: 10.1007/s00702-020-02254-3
Knihovny.cz E-resources
- Keywords
- Biomarkers, Deep brain stimulation, HD-EEG, Reaction time, Time frequency analysis,
- MeSH
- Deep Brain Stimulation * MeSH
- Cognition MeSH
- Humans MeSH
- Subthalamic Nucleus * MeSH
- Parkinson Disease * therapy MeSH
- Reaction Time MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
Although deep brain stimulation of the subthalamic nucleus (STN-DBS) in Parkinson's disease (PD) is generally a successful therapy, adverse events and insufficient clinical effect can complicate the treatment in some patients. We studied clinical parameters and cortical oscillations related to STN-DBS to identify patients with suboptimal responses. High-density EEG was recorded during a visual oddball three-stimuli paradigm in DBS "off" and "on" conditions in 32 PD patients with STN-DBS. Pre-processed data were reconstructed into the source space and the time-frequency analysis was evaluated. We identified a subgroup of six patients with longer reaction times (RT) during the DBS "on" state than in the DBS "off" state after target stimuli. These subjects had lower motor responsiveness to DBS and decreased memory test results compared to the other subjects. Moreover, the alpha and beta power decrease (event-related desynchronizations, ERD), known as an activation correlate linked to motor and cognitive processing, was also reduced in the DBS "on" condition in these patients. A subgroup of PD patients with a suboptimal response to STN-DBS was identified. Evaluation of RT could potentially serve as a biomarker for responsiveness to STN-DBS.
References provided by Crossref.org
Revealing connectivity patterns of deep brain stimulation efficacy in Parkinson's disease
The effect of deep brain stimulation in Parkinson's disease reflected in EEG microstates
