Meeting Banner
Abstract #0017

Topological features of structural brain networks in sub-clinical psychosis revealed by graph theoretical analysis of tractography data

Mark Drakesmith 1 , Anirban Dutt 2 , Glyn Lewis 3 , Anthony S David 2 , and Derek K Jones 1

1 CUBRIC, Cardiff University, Cardiff, Wales, United Kingdom, 2 Institute of Psychiatry, Kings College London, London, United Kingdom, 3 Academic Unit of Psychiatry, University of Bristol, Bristol, United Kingdom

Psychosis has long been considered a disconnection syndrome. Graph theory is a useful tool for examining dysconnectivity in psychosis. Here we apply the approach to tractography data acquired from subjects with sub-clinical psychotic experiences. We show that density and efficiency of structural brain networks is significantly lower in subjects with psychotic experiences. There were regional decreases in efficiency and node degree and differences in betweenness centrality and clustering coefficient. Local changes in network structure were found in inferior frontal, temporopolar, cingulate and occipitoparietal cortices. Identifying future transitions to full psychosis will further isolate graph theoretical predictors of psychotic illness.

This abstract and the presentation materials are available to members only; a login is required.

Join Here