N-of-1 tissue activation modeling reveals regional subthalamic stimulation predicting verbal fluency decline in Parkinson disease.
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.
What the AI sees
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.
Research significance
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.
Source abstract
No abstract available.