Functional Connectivity during Theory of Mind and Empathy tasks, using Machine Learning in Subjects with Schizotypy

Description

Since the rethinking of schizophrenia as a neurodevelopmental disease, the importance of studying healthy subjects that have psychotic traits has become increasingly recognized. In earlier studies the degree of schizotypy (especially high social anhedonia (HSA)) has been identified as a predictor for development of schizophrenia. Furthermore, several studies have related early impairment in social cognition
to the later functional outcome in patients with schizophrenia.
The aim of this study is to determine functional connectivity in subjects with schizotypy, and to investigate if the found connectivity networks can be used to classify subjects according to their degree of social anhedonia.
StatusActive
Effective start/end date01/06/2015 → …