Sultan Mohammad Manjur, Luis Roberto Mercado Diaz, Irene O Lee, David H Skuse, Dorothy A Thompson, Fernando Marmolejos-Ramos, Paul A Constable, Hugo F Posada-Quintero
Detecting Autism Spectrum Disorder and Attention Deficit Hyperactivity Disorder Using Multimodal Time-Frequency Analysis with Machine Learning Using the Electroretinogram from Two Flash Strengths
Journal of autism and developmental disorders
network analysis used explore interplay psychopathology functioning psychosis study used dedicated statistical techniques focus bridge symptoms connecting domains current study aims estimate network depressive negative positive symptoms general psychopathology realworld functioning people firstepisode schizophrenia schizophreniform disorder focusing bridge nodes baseline data optimise trial analyzed sample included 446 participants age 400 109 years 70 males network estimated gaussian graphical model using scores individual items positive negative syndrome scale panss calgary depression scale schizophrenia personal social performance scale stability strength centrality expected influence ei predictability bridge centrality statistics computed top 20 scoring nodes bridge strength selected bridge nodes nodes different rating scales assessing similar psychopathological functioning constructs tended cluster together estimated network central nodes ei delusions emotional withdrawal depression depressed mood bridge nodes included depression conceptual disorganization active social avoidance delusions stereotyped thinking poor impulse control guilty feelings unusual thought content hostility bridge nodes belonged general psychopathology subscale panss depression g6 bridge node highest value current study provides novel insights understanding complex phenotype psychotic disorders mechanisms underlying development maintenance comorbidity functional impairment psychosis onset