This study uses per-patient ('N-of-1') tissue activation modeling of subthalamic nucleus deep brain stimulation to identify regional stimulation patterns that predict declines in verbal fluency in Parkinson's disease.

Although it does not address molecular mechanisms or drug targets, the paper has translational clinical value by informing personalized DBS targeting and predictive modeling to reduce cognitive side effects, which can improve patient outcomes and trial design for neuromodulation interventions.