Predicting optimal deep brain stimulation parameters for Parkinson’s disease using functional MRI and machine learning
Deep brain stimulation programming for Parkinson’s disease entails the assessment of a large number of possible simulation settings, requiring numerous clinic visits after surgery. Here, the authors show that patterns of functional MRI can predict the optimal stimulation settings.
Main Authors: | , , , , , , , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2021-05-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-021-23311-9 |