English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Subregional mesiotemporal network topology is altered in temporal lobe epilepsy

MPS-Authors
/persons/resource/persons22828

Bernhardt,  Boris C.
Neuroimaging of Epilepsy Laboratory, Montreal Neurological Institute and Hospital, McGill University, Montréal, QC, Canada;
Department Social Neuroscience, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Bernhardt, B. C., Bernasconi, N., Hong, S.-J., Dery, S., & Bernasconi, A. (2016). Subregional mesiotemporal network topology is altered in temporal lobe epilepsy. Cerebral Cortex, 26(7), 3237-3248. doi:10.1093/cercor/bhv166.


Cite as: https://hdl.handle.net/11858/00-001M-0000-002C-EDD5-6
Abstract
Temporal lobe epilepsy (TLE) is the most frequent drug-resistant epilepsy in adults and commonly associated with variable
degrees of mesiotemporal atrophy on magnetic resonance imaging (MRI). Analyses of inter-regional connectivity have unveiled
disruptions in large-scale cortico-cortical networks; little is known about the topological organization of the mesiotemporal
lobe, the limbic subnetwork central to the disorder. We generated covariance networks based on high-resolution MRI surface-
shape descriptors of the hippocampus, entorhinal cortex, and amygdala in 134 TLE patients and 45 age- and sex-matched
controls. Graph-theoretical analysis revealed increased path length and clustering in patients, suggesting a shift toward a more
regularized arrangement;
fi
ndings were reproducible after split-half assessment and across 2 parcellation schemes. Analysis of
inter-regional correlations and module participation showed increased within-structure covariance, but decreases between
structures, particularly with regards to the hippocampus and amygdala. While higher clustering possibly re
fl
ects topological
consequences of axonal sprouting, decreases in interstructure covariance may be aconsequence of disconnection within limbic
circuitry. Preoperative network parameters, specifically the segregation of the ipsilateral hippocampus, predicted long-term
seizure freedom after surgery.