ICA-13 SCNs with highly predictive ablity

Description: Using T1w MRI scans with data-driven multivariate ICA analysis, we first extracted the potential whole brain large-scale SCNs and further identified a set of SCNs with high classification ability for PD patients. Thirteen of 70 SCNs were selected to classify PD effectively, including the cerebellum, anterior temporal pole, hippocampus, parietal operculum, supramarginal gyrus, paracingulate gyrus, occipital, and SMA.

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Compact Identifierhttps://identifiers.org/neurovault.collection:3113
Add DateOct. 23, 2017, 5:35 a.m.
Uploaded bylynnlee0226
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