Machine learning explains response variability of deep brain | ResearchBunny

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Abstract

This study used explainable machine learning to analyze multimodal factors affecting quality of life (QoL) changes after deep brain stimulation (DBS) in Parkinson's disease patients. Preoperative PDQ-39 scores and upper beta band activity in the left STN were key predictors of QoL changes. Lower initial QoL predicted worsening, while improvement was associated with higher beta activity. Electrode positions relative to the z = -7 coordinate influenced outcomes.

Publisher

npj Digital Medicine

Published On

Oct 02, 2024

Authors

Enrico Ferrea, Farzin Negahbani, Idil Cebi, Daniel Weiss, Alireza Gharabaghi

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