Graph Theoretical Analysis of Structural Neuroimaging in Temporal Lobe Epilepsy with and without Psychosis.

Daichi SoneHiroshi MatsudaMiho OtaNorihide MaikusaYukio KimuraKaoru SumidaKota YokoyamaEtsuko ImabayashiMasako WatanabeYutaka WatanabeMitsutoshi OkazakiNoriko Sato

Published in: PloS one (2016)

In TLE with psychosis, graph theoretical analysis of structural imaging revealed disrupted connectivity in the contralateral hemisphere. The network metrics suggested that the existence of psychosis can bring vulnerability and decreased efficiency of the whole-brain network. The sharp differences in structural networks between morphologically homogeneous groups are remarkable and may contribute to a better understanding of psychosis in TLE.

Keyphrases

resting state
functional connectivity
temporal lobe epilepsy
white matter
high resolution
convolutional neural network
single cell
multiple sclerosis
machine learning
deep learning
network analysis