Graph Convolutional Network Can Classify Schizophrenia
A graph convolutional network (GCN) approach allows classification of schizophrenia at the individual level.
A graph convolutional network (GCN) approach allows classification of schizophrenia at the individual level.
Investigators evaluated data collected for a population-based study of nearly 1.5 million adults that was conducted at seven sites across Australia.
For adults with schizophrenia spectrum disorders, previous cytomegalovirus infection is associated with smaller total cortical surface area.
Digital technology, together with peer support and clinical triage can detect and prevent relapse for patients with schizophrenia.
Caplyta is indicated for the treatment of schizophrenia and depressive episodes associated with bipolar I or II disorders, as monotherapy and as adjunctive therapy with lithium or valproate.
The approval was based on data from the phase 3 SERENITY I and II studies that evaluated Igalmi for the acute treatment of agitation associated with schizophrenia and bipolar disorders I and II, respectively.
Virtual reality has been explored as an adjunct to cognitive behavioral therapy, but little is known about how well it delivers automated therapy. To find out, the researchers conducted a clinical trial using 9 National Health Service trusts in England.
Data for this study were sourced from the United Kingdom (UK) Biobank and the Allen Human Brain Atlas (AHBA).
The CRL states that the application cannot be approved in its current form.
For this study, patients with new-onset schizophrenia, schizophreniform disorder, or brief psychotic episode were recruited from the University Hospital of Ioannina in Greece between 2018 and 2020.