Open AccessPredict initial subthalamic nucleus stimulation outcome in Parkinson's disease with brain morphology
Author(s) -
Chen Yingchuan,
Zhu Guanyu,
Liu Yuye,
Liu Defeng,
Yuan Tianshuo,
Zhang Xin,
Jiang Yin,
Du Tingting,
Zhang Jianguo
Publication year - 2022
Publication title -
cns neuroscience and therapeutics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.403
H-Index - 69
eISSN - 1755-5949
pISSN - 1755-5930
DOI - 10.1111/cns.13797
Subject(s) - subthalamic nucleus , deep brain stimulation , brain morphometry , stimulation , white matter , neuroimaging , parkinson's disease , neuroscience , magnetic resonance imaging , brain stimulation , psychology , motor cortex , medicine , disease , radiology
Aim Subthalamic nucleus deep brain stimulation (STN‐DBS) has been reported to be effective in treating motor symptoms in Parkinson's disease (PD), which may be attributed to changes in the brain network. However, the association between brain morphology and initial STN‐DBS efficacy, as well as the performance of prediction using neuroimaging, has not been well illustrated. Therefore, we aim to investigate these issues. Methods In the present study, 94 PD patients underwent bilateral STN‐DBS, and the initial stimulation efficacy was evaluated. Brain morphology was examined by magnetic resonance imaging (MRI). The volume of tissue activated in the motor STN was measured with MRI and computed tomography. The prediction of stimulation efficacy was achieved with a support vector machine, using brain morphology and other features, after feature selection and hyperparameter optimization. Results A higher stimulation efficacy was correlated with a thicker right precentral cortex. No association with subcortical gray or white matter volumes was observed. These morphological features could estimate the individual stimulation response with an r value of 0.5678, an R 2 of 0.3224, and an average error of 11.4%. The permutation test suggested these predictions were not based on chance. Conclusion Our results indicate that changes in morphology are associated with the initial stimulation motor response and could be used to predict individual initial stimulation‐related motor responses.