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Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
Published on: August 5, 2014
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Structural connectivity changes in temporal lobe epilepsy: Spatial features contribute more than topological
Peter N Taylor1, Cheol E Han2, Jan-Christoph Schoene-Bake3
1Interdisciplinary Computing and Complex BioSystems (ICOS) Research Group, School of Computing Science, Newcastle University, United Kingdom.
Neuroimage. Clinical
|June 25, 2015
Summary
Brain region surface area changes are key biomarkers in temporal lobe epilepsy (TLE), significantly impacting network connectivity. Structural white matter changes in TLE are more subtle, with less influence on overall connection weights.
Area of Science:
- Neuroimaging
- Epilepsy Research
- Brain Anatomy
Background:
- Previous studies indicate reduced brain region volumes in temporal lobe epilepsy (TLE).
- Widespread network alterations are also suggested in TLE patients.
- The relationship between regional volume changes and network features in TLE remains unclear.
Purpose of the Study:
- To investigate the relationship between regional brain changes and structural connectivity in temporal lobe epilepsy (TLE).
- To determine how regional surface area and white matter streamline characteristics influence connectivity weights in TLE.
Main Methods:
- Magnetic resonance imaging (MRI) was used to parcellate brains of 22 left TLE patients and 39 controls.
- Surface area, streamline count, and average streamline length between regions of interest (ROIs) were computed.
- Connectivity weights were calculated and analyzed in relation to ROI surface area and streamline properties.
Main Results:
- Significant widespread changes in ROI surface area and position were observed in TLE patients compared to controls.
- Changes in structural connectivity were more subtle than changes in regional surface area.
- Decreased surface area and increased streamline count significantly contributed to altered connectivity weights in TLE.
Conclusions:
- ROI surface area changes serve as reliable biomarkers for TLE, strongly influencing brain network connectivity.
- Structural connectivity alterations via white matter streamlines in TLE are subtle and have a lesser impact on connection weights.

