Preoperative brain connectome predicts postoperative changes in processing speed in moyamoya disease.

ABSTRACT: Moyamoya disease is a rare cerebrovascular disorder associated with cognitive dysfunction. It is usually treated by surgical revascularization, but research on the neurocognitive outcomes of revascularization surgery is controversial. Given that neurocognitive impairment could affect the daily activities of patients with moyamoya disease, early detection of postoperative neurocognitive outcomes has the potential to improve patient management. In this study, we applied a well-established connectome-based predictive modelling approach to develop machine learning models that used preoperative resting-state functional connectivity to predict postoperative changes in processing speed in patients with moyamoya disease. Twelve adult patients with moyamoya disease (age range: 23-49 years; female/m

SUBMITTER: Gao M 

PROVIDER: S-EPMC9438963 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature