首页|Developing Predictor Models of Postoperative Verbal Fluency After Deep Brain Stimulation Using Preoperative Neuropsychological Assessment
Developing Predictor Models of Postoperative Verbal Fluency After Deep Brain Stimulation Using Preoperative Neuropsychological Assessment
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NSTL
BACKGROUND: Deep brain stimulation (DBS) for Parkinson disease provides significant improvement of motor symptoms but can also produce neurocognitive side effects。 A decline in verbal fluency (VF) is among the most frequently reported side effects。 Preoperative factors that could predict VF decline have yet to be identified。 OBJECTIVE; To develop predictive models of DBS postoperative VF decline using a machine learning approach。 METHODS: We used a prospective database of patients who underwent neuropsychological and VF assessment before both subthalamic nucleus (n = 47， bilateral = 44) and globus pallidus interna (n = 43， bilateral = 39) DBS。 We used a neurobehavioral rating profile as features for modeling postoperative VF。 We constructed separate models for action， semantic， and letter VF。 We used a leave-one-out scheme to test the accuracy of the predictive models using median absolute error and correlation with actual postoperative scores。
NSTL
