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.
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