Neurocognitive Graphs of First-Episode Schizophrenia and Major Depression Based on Cognitive Features.

ABSTRACT: Neurocognitive deficits are frequently observed in patients with schizophrenia and major depressive disorder (MDD). The relations between cognitive features may be represented by neurocognitive graphs based on cognitive features, modeled as Gaussian Markov random fields. However, it is unclear whether it is possible to differentiate between phenotypic patterns associated with the differential diagnosis of schizophrenia and depression using this neurocognitive graph approach. In this study, we enrolled 215 first-episode patients with schizophrenia (FES), 125 with MDD, and 237 demographically-matched healthy controls (HCs). The cognitive performance of all participants was evaluated using a battery of neurocognitive tests. The graphical LASSO model was trained with a one-vs-one scenario to l

SUBMITTER: Liang S 

PROVIDER: S-EPMC5856717 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature