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

Project Details

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 → …

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Fingerprint

Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.