Quantitative analysis of structural neuroimaging of mesial temporal lobe epilepsy

Negar Memarian1, Paul M Thompson, Jerome Engel

  • 1Department of Neurology, Reed, Neurological Research Center, Suite, 2155, University of California, 710 Westwood Plaza, Los Angeles, CA 90095, USA.

Imaging in Medicine
|December 10, 2013
PubMed

Insights

Mesial temporal lobe epilepsy (MTLE) is a common epilepsy treatable with surgery. Advanced MRI analysis reveals abnormalities beyond the hippocampus, aiding in identifying seizure networks and improving surgical outcomes for drug-resistant epilepsy.

Area of Science:

  • Neurology
  • Radiology
  • Epileptology

Background:

  • Mesial temporal lobe epilepsy (MTLE) is the most prevalent surgically remediable drug-resistant epilepsy.
  • Magnetic Resonance Imaging (MRI) is crucial for detecting anatomical abnormalities and identifying epileptogenic lesions, frequently hippocampal sclerosis in MTLE.
  • Advancements in structural imaging and analysis techniques are enhancing the understanding and surgical treatment of MTLE.

Purpose of the Study:

  • To review advanced MRI analysis techniques for measuring brain structural attributes in epilepsy.
  • To highlight how these techniques identify anatomical abnormalities beyond the hippocampus in MTLE.
  • To discuss the potential of structural imaging and analysis in guiding surgical therapy for improved seizure-freedom outcomes.

Main Methods:

  • Review of advanced structural imaging analysis techniques used in epilepsy research, particularly for MTLE.
  • Analysis of studies employing these techniques to identify brain abnormalities.
  • Correlation of imaging findings with epileptogenic networks and surgical outcomes.

Main Results:

  • Advanced MRI analysis techniques have identified diverse anatomical abnormalities in MTLE, often extending beyond the hippocampus.
  • These abnormalities suggest a broader network involvement in seizure generation.
  • Sophisticated imaging analysis provides insights into the extent of structural changes associated with MTLE.

Conclusions:

  • Structural imaging and advanced analysis are vital for understanding the full extent of brain abnormalities in MTLE.
  • Identifying seizure networks through imaging can significantly improve surgical planning.
  • These approaches hold promise for enhancing postsurgical seizure control in patients with drug-resistant epilepsy.

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