Characterization and prediction of clinical pathways of vulnerability to psychosis through graph signal processing.

ABSTRACT: Causal interactions between specific psychiatric symptoms could contribute to the heterogenous clinical trajectories observed in early psychopathology. Current diagnostic approaches merge clinical manifestations that co-occur across subjects and could significantly hinder our understanding of clinical pathways connecting individual symptoms. Network analysis techniques have emerged as alternative approaches that could help shed light on the complex dynamics of early psychopathology. The present study attempts to address the two main limitations that have in our opinion hindered the application of network approaches in the clinical setting. Firstly, we show that a multi-layer network analysis approach, can move beyond a static view of psychopathology, by providing an intuitive characterizat

SUBMITTER: Sandini C 

PROVIDER: S-EPMC8476129 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature