Fractal Dimension as a T1 Measure for Multiparametric Investigation of Outcome Variance Following Deep Brain Stimulation in Parkinson’s Disease

Motivation: Improved prognostic criteria are needed to better understand outcome variance in response to DBS for Parkinson's disease. Leveraging routinely collected T1-w MRI could offer accessible predictive biomarkers. Goal(s): In 129 patients, we sought to find features derivable from preoperative T1-w images to serve as informative biomarkers to explain variance in response to DBS. Approach: Employing regional analysis and regression techniques, we examined the relationships between fractal dimension (FD), regional volumes, and post-DBS treatment responses. Results: Analysis revealed distinct, significant correlations between FD and volumes with response to DBS, indicating their potential for complementary integration in a multi-parametric predictive tool. Impact: Fractal dimension and volume, metrics derived from T1-w MRI, correlate with DBS response variance in PD patients. Integration of multi-parametric T1-w imaging features into prediction models could aid clinicians in candidate selection and treatment planning to ultimately improve patient-centric outcomes.