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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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Quantitative relaxometry and diffusion MRI for lateralization in MTS and non-MTS temporal lobe epilepsy
Ali R Khan1, Maged Goubran2, Sandrine de Ribaupierre3
1Imaging Research Laboratories, Robarts Research Institute, London, Ontario, Canada; Department of Medical Biophysics, Western University, London, Ontario, Canada.
Epilepsy Research
|January 16, 2014
Summary
Quantitative MRI metrics like diffusion tensor imaging (DTI) effectively lateralize temporal lobe epilepsy (TLE). Advanced imaging analysis helps distinguish left-onset from right-onset TLE, aiding clinical seizure onset determination.
Area of Science:
- Neuroimaging
- Epilepsy Research
- Quantitative MRI
Background:
- Temporal lobe epilepsy (TLE) diagnosis relies on accurate seizure onset localization.
- Quantitative MRI techniques offer potential for improved lateralization in TLE.
Purpose of the Study:
- To investigate quantitative relaxometry (T1, T2) and diffusion tensor imaging (DTI) for lateralizing TLE.
- To compare MRI metrics between patients with mesial temporal sclerosis (MTS), non-MTS TLE, and healthy controls.
Main Methods:
- Voxel-based analysis of anterior temporal lobes in TLE patients and controls.
- Computation of laterality indices for T1, T2, and DTI metrics (FA, MD, AD, RD).
- Development of patient-specific multi-modal laterality indices.
Main Results:
- Diffusivity metrics (FA, MD, AD, RD) were most effective for lateralizing both MTS and non-MTS TLE.
- Multi-modal laterality indices accurately separated left-onset and right-onset TLE.
- Left-onset TLE patients showed stronger laterality indices.
- Neocortical abnormalities were more prevalent in non-MTS TLE patients.
Conclusions:
- Quantitative MRI and multi-modal analysis show promise for clinical seizure onset determination in TLE.
- Neocortical abnormalities in non-MTS TLE warrant further investigation for their role in seizure onset/propagation.
Keywords:
Diffusion tensor imagingMRI-negativeParadoxical TLEQuantitative relaxometryVoxel-based analysis
