Revealing connectivity patterns of deep brain stimulation efficacy in Parkinson’s disease

The aim of this work was to study the effect of deep brain stimulation of the subthalamic nucleus (STN-DBS) on the subnetwork of subcortical and cortical motor regions and on the whole brain connectivity using the functional connectivity analysis in Parkinson's disease (PD). The high-density source space EEG was acquired and analyzed in 43 PD subjects in DBS on and DBS off stimulation states (off medication) during a cognitive-motor task. Increased high gamma band (50-100 Hz) connectivity within subcortical regions and between subcortical and cortical motor regions was significantly associated with the Movement Disorders Society - Unified Parkinson's Disease Rating Scale (MDS-UPDRS) III improvement after DBS. Whole brain neural correlates of cognitive performance were also detected in the high gamma (50-100 Hz) band. A whole brain multifrequency connectivity profile was found to classify optimal and suboptimal responders to DBS with a positive predictive value of 0.77, negative predictive value of 0.55, specificity of 0.73, and sensitivity of 0.60. Specific connectivity patterns related to PD, motor symptoms improvement after DBS, and therapy responsiveness predictive connectivity profiles were uncovered.

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Publication Details

Journal
Scientific Reports
Published
2024-12-30
DOI
https://doi.org/10.1038/s41598-024-80630-9
Citations
1
Primary Topic
Neurological disorders and treatments
Type
article
Field-Weighted Citation Impact
0.37

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article

Revealing connectivity patterns of deep brain stimulation efficacy in Parkinson’s disease

Martin Lamoš, Eva Výtvarová, Jaroslav Hlinka, Martina Bočková et al.
1 citations
Scientific Reports
Neurological disorders and treatments
0.37
article

Revealing connectivity patterns of deep brain stimulation efficacy in Parkinson’s disease

Martin Lamoš, Eva Výtvarová, Jaroslav Hlinka, Martina Bočková, Sabina Goldemundová, Ivan Rektor
article en
1 citations

Abstract

The aim of this work was to study the effect of deep brain stimulation of the subthalamic nucleus (STN-DBS) on the subnetwork of subcortical and cortical motor regions and on the whole brain connectivity using the functional connectivity analysis in Parkinson's disease (PD). The high-density source space EEG was acquired and analyzed in 43 PD subjects in DBS on and DBS off stimulation states (off medication) during a cognitive-motor task. Increased high gamma band (50-100 Hz) connectivity within subcortical regions and between subcortical and cortical motor regions was significantly associated with the Movement Disorders Society - Unified Parkinson's Disease Rating Scale (MDS-UPDRS) III improvement after DBS. Whole brain neural correlates of cognitive performance were also detected in the high gamma (50-100 Hz) band. A whole brain multifrequency connectivity profile was found to classify optimal and suboptimal responders to DBS with a positive predictive value of 0.77, negative predictive value of 0.55, specificity of 0.73, and sensitivity of 0.60. Specific connectivity patterns related to PD, motor symptoms improvement after DBS, and therapy responsiveness predictive connectivity profiles were uncovered.

Scientific ReportsVol. 14(1)
Central European Institute of Technology (CZ), Czech Academy of Sciences (CZ), Masaryk University (CZ), Central European Institute of Technology – Masaryk University (CZ), St. Anne's University Hospital Brno (CZ), Czech Academy of Sciences, Institute of Computer Science (CZ), National Institute of Mental Health (CZ)
European Commission, Ministerstvo Školství, Mládeže a Tělovýchovy, Grantová Agentura České Republiky, Central European Institute of Technology, Agentura Pro Zdravotnický Výzkum České Republiky, European Regional Development Fund
Openalex Percentile: Top 32%
Neurological disorders and treatments
0.37
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