Ontology highlight
ABSTRACT: Objectives
The pathological mechanism for a disorder of consciousness (DoC) is still not fully understood. Based on traditional behavioral scales, there is a high rate of misdiagnosis for subtypes of DoC. We aimed to explore whether topological characterization may explain the pathological mechanisms of DoC and be effective in diagnosing the subtypes of DoC.Methods
Using resting-state functional magnetic resonance imaging data, the weighted brain functional networks for normal control subjects and patients with vegetative state (VS) and minimally conscious state (MCS) were constructed. Global and local network characteristics of each group were analyzed. A support vector machine was employed to identify MCS and VS patients.Results
The average connection strength was
SUBMITTER: Yang Y
PROVIDER: S-EPMC10352323 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature