The research, published in May’s npj Schizophrenia, with University of Alberta postdoctoral researcher Mina Gheiratmand as the primary author, was able to predict instances of schizophrenia with 74 per cent accuracy.
Further, the research showed a similar model can be used to determine the severity of symptoms, including inattentiveness, formal thought disorder and lack of motivation.