Revealing connectivity patterns of deep brain stimulation efficacy in Parkinson’s disease
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-densit...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-12-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-80630-9 |
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| author | Eva Výtvarová Martin Lamoš Jaroslav Hlinka Sabina Goldemundová Ivan Rektor Martina Bočková |
| author_facet | Eva Výtvarová Martin Lamoš Jaroslav Hlinka Sabina Goldemundová Ivan Rektor Martina Bočková |
| author_sort | Eva Výtvarová |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-207e2d9b3121420d87920640c93f7260 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-207e2d9b3121420d87920640c93f72602025-01-05T12:27:47ZengNature PortfolioScientific Reports2045-23222024-12-0114111210.1038/s41598-024-80630-9Revealing connectivity patterns of deep brain stimulation efficacy in Parkinson’s diseaseEva Výtvarová0Martin Lamoš1Jaroslav Hlinka2Sabina Goldemundová3Ivan Rektor4Martina Bočková5Brain and Mind Research Program, Central European Institute of Technology (CEITEC), Masaryk UniversityBrain and Mind Research Program, Central European Institute of Technology (CEITEC), Masaryk UniversityDepartment of Complex Systems, Institute of Computer Science, Czech Academy of SciencesBrain and Mind Research Program, Central European Institute of Technology (CEITEC), Masaryk UniversityBrain and Mind Research Program, Central European Institute of Technology (CEITEC), Masaryk UniversityBrain and Mind Research Program, Central European Institute of Technology (CEITEC), Masaryk UniversityAbstract 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.https://doi.org/10.1038/s41598-024-80630-9Functional connectivityEEGConnectivity patternsSubthalamic nucleusParkinson’s diseaseDeep brain stimulation |
| spellingShingle | Eva Výtvarová Martin Lamoš Jaroslav Hlinka Sabina Goldemundová Ivan Rektor Martina Bočková Revealing connectivity patterns of deep brain stimulation efficacy in Parkinson’s disease Scientific Reports Functional connectivity EEG Connectivity patterns Subthalamic nucleus Parkinson’s disease Deep brain stimulation |
| title | Revealing connectivity patterns of deep brain stimulation efficacy in Parkinson’s disease |
| title_full | Revealing connectivity patterns of deep brain stimulation efficacy in Parkinson’s disease |
| title_fullStr | Revealing connectivity patterns of deep brain stimulation efficacy in Parkinson’s disease |
| title_full_unstemmed | Revealing connectivity patterns of deep brain stimulation efficacy in Parkinson’s disease |
| title_short | Revealing connectivity patterns of deep brain stimulation efficacy in Parkinson’s disease |
| title_sort | revealing connectivity patterns of deep brain stimulation efficacy in parkinson s disease |
| topic | Functional connectivity EEG Connectivity patterns Subthalamic nucleus Parkinson’s disease Deep brain stimulation |
| url | https://doi.org/10.1038/s41598-024-80630-9 |
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