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Updated: Aug 18, 2026

Intra-Operative Behavioral Tasks in Awake Humans Undergoing Deep Brain Stimulation Surgery
Published on: January 6, 2011
Preoperative Functional Connectivity Predicts Antiparkinson Drug Change after Deep Brain Stimulation
David Mikhael1,2, Skyler Deutsch1, Juhi Mehta1
1Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA.
Background:
Deep brain stimulation (DBS) can effectively ameliorate motor symptoms in Parkinson's disease (PD), but patient outcomes remain variable. Clinical predictors lack reliability and only explain a small proportion of outcome variance, outlining a need for biomarkers that can enhance prediction accuracy. Functional magnetic resonance imaging (fMRI) could address this, offering insight into the relative impact of functional brain health on DBS outcomes.
Methods:
Preoperative resting-state fMRI was retrospectively collected for 120 patients with PD and DBS targeting the subthalamic nucleus or pallidum. Motor network connectivity was computed, and clinical predictors extracted including age, sex, target, hemisphere treated, and preoperative medication responsiveness. Pre-to-post changes in antiparkinson medications defined outcomes. Regression analysis selected important connectivity features and evaluated additional outcome variance explained by fMRI when combined with clinical predictors. Last, classification analysis assessed fMRI feature specificity to PD compared to Huntington's disease and healthy controls.
Results:
Alongside clinical predictors, fMRI features explained more outcome variance (R2 adjusted = 0.36) than clinical predictors alone (R2 adjusted = 0.13). Five connectivity pairs bridging the cortico-basal ganglia-cerebellar network were predictive of outcomes and distinguished PD from controls and Huntington's disease with reasonable accuracy (67% and 73%). Exploratory analysis revealed that intracerebellar connectivity, although a less stable predictor of DBS outcomes, dramatically increased PD classification accuracy (≥98%).
Conclusion:
Patient-specific motor connectivity enhances DBS outcome prediction and could aid detection and monitoring of basal ganglia disorders. Future work will validate and extend our models for multi-parameter MR prediction of standardized outcomes, toward the development of decision support tools for DBS. © 2025 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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