Graph Convolutional Networks Reveal Network-Level Functional Dysconnectivity in Schizophrenia

ConclusionsThe present study demonstrates that GCN allows classification of schizophrenia at the individual level with high accuracy, indicating a promising direction for detection of individual patients with schizophrenia. Functional topological deficits of striatal areas may represent a focal neural deficit of negative symptomatology in schizophrenia.
Source: Schizophrenia Bulletin - Category: Psychiatry Source Type: research