"Magnetic resonance imaging negative positron emission tomography positive" temporal lobe epilepsy: FDG-PET pattern

R P Carne1, M J Cook, L R MacGregor

  • 1Victorian Epilepsy Centre, St. Vincent's Hospital, Melbourne, Victoria, Australia. carnero@svhm.org.au

Abstract

Insights

Patients with temporal lobe epilepsy (TLE) without hippocampal sclerosis (HS) on MRI show distinct patterns of brain metabolism. These findings highlight differences in hypometabolism in MRI-negative TLE.

Area of Science:

  • Neuroimaging
  • Epilepsy Research
  • Metabolic Brain Imaging

Background:

  • Temporal lobe epilepsy (TLE) is a common epilepsy syndrome.
  • Hippocampal sclerosis (HS) is a frequent finding in TLE, but some patients lack MRI evidence of HS (HS-ve).
  • Understanding metabolic patterns in HS-ve TLE is crucial for diagnosis and treatment.

Purpose of the Study:

  • To investigate differences in 2-deoxy-2-[F-18]fluoro-D-glucose (FDG)-positron emission tomography (PET) hypometabolism patterns between HS-ve TLE and typical mesial TLE with HS (HS+ve).
  • To test the hypothesis that HS-ve TLE exhibits lateral temporal neocortical hypometabolism, contrasting with the mesial focus in HS+ve TLE.

Main Methods:

  • Compared FDG-PET scans of 28 HS-ve TLE patients and 24 HS+ve TLE patients with 20 healthy controls.
  • Utilized statistical parametric mapping (SPM) for group comparisons.
  • Patients were selected based on well-lateralized electroencephalogram (EEG) findings.

Main Results:

  • Both HS-ve and HS+ve TLE groups demonstrated lateralized temporal hypometabolism compared to controls.
  • HS+ve TLE showed hypometabolism predominantly in antero-infero-mesial regions.
  • HS-ve TLE exhibited greater hypometabolism in inferolateral temporal regions compared to HS+ve TLE.

Conclusions:

  • FDG-PET reveals distinct hypometabolism patterns in TLE based on MRI findings of HS.
  • These findings support the hypothesis of lateral neocortical involvement in 'MRI-negative PET-positive TLE.'
  • Differentiates metabolic signatures in TLE subtypes, aiding in understanding disease heterogeneity.

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