Neuroimaging in partial epilepsy: Structural magnetic resonance imaging

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Magnetic resonance imaging (MRI) is a noninvasive technique that has been shown to be the structural neuroimaging procedure of choice in evaluating patients with partial or localization-related epilepsy. The diagnostic yield of MRI has been confirmed in patients with partial epilepsy related to mesial temporal sclerosis (MTS) or foreign-tissue lesions. Magnetic resonance imaging may be used preoperatively to identify patients with intractable partial epilepsy who have surgically remediable epileptic syndromes. Preoperative MRI studies are predictive of long-term seizure outcome in patients receiving surgical treatment. Analysis of hippocampal formation size has also been shown to correlate with the neurocognitive outcome following temporal lobe surgery. A recent development involving subtraction ictal single photon emission computed tomography (SPECT) coregistered with structural MRI (SISCOM) has important clinical applications. SISCOM studies are more sensitive and specific than visual side-by-side interpretation of interictal and ictal SPECT scans. Also, SISCOM images have been shown to have prognostic importance in patients undergoing surgical treatment for epilepsy.

Original languageEnglish (US)
Pages (from-to)121-129
Number of pages9
JournalJournal of Epilepsy
Volume11
Issue number3
DOIs
StatePublished - May 1998

Fingerprint

Partial Epilepsy
Neuroimaging
Magnetic Resonance Imaging
Single-Photon Emission-Computed Tomography
Stroke
Sclerosis
Temporal Lobe
Epilepsy
Hippocampus
Seizures
Therapeutics

Keywords

  • Hippocampal formation atrophy
  • Lesional epilepsy
  • Magnetic resonance imaging
  • SISCOM

ASJC Scopus subject areas

  • Clinical Neurology
  • Neuroscience(all)

Cite this

Neuroimaging in partial epilepsy : Structural magnetic resonance imaging. / Cascino, Gregory D.

In: Journal of Epilepsy, Vol. 11, No. 3, 05.1998, p. 121-129.

Research output: Contribution to journalArticle

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