Gerhard Drenthen1,2, Marielle Vlooswijk2,3, Marian Majoie2, Paul Hofman1,2, Albert Aldenkamp2,3, Walter Backes1,2, and Jacobus Jansen1,2
1Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands, 2School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands, 3Department of Neurology, Maastricht University Medical Center, Maastricht, Netherlands
Brain network
analysis that infers on interregional correlations of anatomical features
usually makes use of intersubject correlation matrices that characterize
variations over subjects. Here, a novel method is introduced that provides measures
of network efficiency on an individual basis in patients with epilepsy. To this
end, for each participant a measure of deviation from a group of healthy controls
is calculated, and compared to the small-world parameters (clustering
coefficient and minimum path length) of a reference graph obtained for the native
control group. Results show that patients with epilepsy exhibit a less
efficient network compared to controls.
