Connectivity Predicts deep brain stimulation outcome in P arkinson disease
Beth Israel Deaconess Medical Center · Berenson Allen Center for Noninvasive Brain Stimulation · +8 more institutions
Abstract
The benefit of deep brain stimulation (DBS) for Parkinson disease (PD) may depend on connectivity between the stimulation site and other brain regions, but which regions and whether connectivity can predict outcome in patients remain unknown. Here, we identify the structural and functional connectivity profile of effective DBS to the subthalamic nucleus (STN) and test its ability to predict outcome in an independent cohort.
A training dataset of 51 PD patients with STN DBS was combined with publicly available human connectome data (diffusion tractography and resting state functional connectivity) to identify connections reliably associated with clinical improvement (motor score of the Unified Parkinson Disease Rating Scale [UPDRS]). This connectivity profile was then used to predict outcome in an independent cohort of 44 patients from a different center.
Citation impact
- FWCI
- 34.68
- Percentile
- 100%
- References
- 54
Authors
12- AHAndreas HornCorresponding
Beth Israel Deaconess Medical Center, Berenson Allen Center for Noninvasive Brain Stimulation, Charité - Universitätsmedizin Berlin
- MMMartin M. Reich
Universitätsklinikum Würzburg
- JVJohannes Vorwerk
University of Utah
- NLNingfei Li
- GWGregor Wenzel
Charité - Universitätsmedizin Berlin
Topics & keywords
- Connectome
- Deep brain stimulation
- Subthalamic nucleus
- Cohort
- Neuroscience
- Resting state fMRI
- Functional connectivity
- Physical medicine and rehabilitation
Funding
- DMDystonia Medical Research Foundation
- DFDeutsche ForschungsgemeinschaftAward: KFO247
- NINational Institutes of HealthAward: R01‐GM114365
- NINational Institute of Mental Health
- NINational Institute of Neurological Disorders and StrokeAward: K23NS083741
- NINational Institute of Dental and Craniofacial Research