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DTI-based response-driven modeling of mTLE laterality.

Mohammad-Reza Nazem-Zadeh1, Kost Elisevich2, Ellen L Air3

  • 1Radiology and Research Administration Department, Henry Ford Health System, Detroit, MI 48202, USA.

Neuroimage. Clinical
|June 23, 2016
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Summary
This summary is machine-generated.

Diffusion tensor imaging (DTI) using fractional anisotropy (FA) can differentiate between unilateral and bilateral mesial temporal lobe epilepsy (mTLE). This novel biomarker shows promise in reducing the need for invasive intracranial EEG monitoring.

Keywords:
BilateralBitemporalDiffusion tensor imagingMesial temporal lobe epilepsyResponse-driven lateralization models

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Area of Science:

  • Neuroimaging
  • Epilepsy Research
  • Diffusion Tensor Imaging (DTI)

Background:

  • Mesial temporal lobe epilepsy (mTLE) is the most common form of drug-resistant focal epilepsy.
  • Distinguishing unilateral from bilateral mTLE can be challenging, often requiring invasive intracranial EEG (icEEG).
  • Noninvasive neuroimaging methods like DTI are being explored to obviate the need for icEEG.

Purpose of the Study:

  • To develop lateralization models for distinguishing unilateral and bilateral mTLE.
  • To determine laterality in unilateral mTLE cases using noninvasive methods.
  • To reduce diagnostic ambiguity and optimize surgical candidate selection.

Main Methods:

  • Retrospective analysis of 31 mTLE patients (24 unilateral, 7 bilateral) and 23 controls.
  • Fractional anisotropy (FA) quantified microstructural changes in the corpus callosum, cingulum, and fornix.
  • Developed a response-driven lateralization model based on 11 FA measurements.

Main Results:

  • FA differences from controls were observed in various subregions for right mTLE, but only in the callosal isthmus for left mTLE.
  • Significant FA differences were found when comparing right mTLE with bilateral mTLE cases.
  • The developed model successfully differentiated all cases into unilateral right, unilateral left, and bilateral mTLE groups, plus controls.

Conclusions:

  • A response-driven DTI biomarker based on FA shows potential for lateralizing mTLE.
  • This DTI biomarker can lessen diagnostic ambiguity regarding laterality in mTLE.
  • The model may reduce the necessity for invasive icEEG in prospective mTLE cases.