Identifying endophenotypes for schizophrenia and autism: a support vector machine learning approach

Funding Activity

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Funded Activity Summary

Schizophrenia and autism are mental health problems that often occur together. Despite this, little is known about the overlap between them and how to treat people who experience both. In this study, I will compare young adults with schizophrenia and autism using three measures of brain function. I plan to employ complex statistical analyses to better understand the similarities and differences between the disorders in order to improve diagnosis and treatment.

Funded Activity Details

Start Date: 01-01-2014

End Date: 01-01-2018

Funding Scheme: Early Career Fellowships

Funding Amount: $316,449.00

Funder: National Health and Medical Research Council

Research Topics

ANZSRC Field of Research (FoR)

Mental Health

ANZSRC Socio-Economic Objective (SEO)

There are no SEO codes available for this funding activity

Other Keywords

autism spectrum disorders | event-related potentials | neuropsychology | pattern recognition | psychosocial | schizophrenia and related disorders | social cognition