Keywords: Parkinson's Disease, Parkinson's Disease, DBS, T1, multiparametric, fractal dimension, therapeutic outcomes, stimulation
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.
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