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Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
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White matter microstructure complements morphometry for predicting verbal memory in epilepsy.

Carrie R McDonald1, Kelly M Leyden2, Donald J Hagler3

  • 1Department of Psychiatry, University of California, San Diego, CA, USA; Multimodal Imaging Laboratory, University of California, San Diego, CA, USA.

Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
|July 13, 2014
PubMed
Summary
This summary is machine-generated.

White matter integrity, measured by diffusion tensor imaging (DTI), is crucial for verbal memory in temporal lobe epilepsy (TLE). Microstructural white matter changes, alongside hippocampal volume, best predict memory impairment.

Keywords:
Cortical thicknessDiffusion tensor imagingTemporal lobe epilepsyVerbal memoryVolumetric imaging

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Area of Science:

  • Neuroscience
  • Neurology
  • Cognitive Science

Background:

  • Verbal memory impairment is common in temporal lobe epilepsy (TLE).
  • Hippocampal and temporal lobe damage contribute to memory deficits.
  • The roles of white matter vs. gray matter and microstructural vs. morphometric measures in TLE memory impairment are not well understood.

Purpose of the Study:

  • To determine whether microstructural (DTI) or morphometric (sMRI) measures of temporal lobe pathology are better predictors of verbal memory impairment in TLE.
  • To assess the relative contributions of white matter and gray matter pathology to memory performance, controlling for hippocampal volume.

Main Methods:

  • Diffusion tensor imaging (DTI) and structural MRI (sMRI) were used to assess temporal lobe pathology in 26 TLE patients and 35 controls.
  • Verbal memory was evaluated using the Logical Memory (LM) subtest.
  • Hierarchical regression analyses were performed to identify predictors of verbal memory performance.

Main Results:

  • Impaired verbal recall in TLE patients was associated with increased mean diffusivity (MD) in temporal lobe white matter tracts.
  • Microstructural white matter measures, specifically MD in the left inferior longitudinal fasciculus (ILF) and pericortical white matter, significantly predicted verbal recall after controlling for left hippocampal volume (HCV).
  • A predictive model including left HCV and MD of the left ILF and pericortical white matter explained 60% of the variance in delayed recall.

Conclusions:

  • White matter microstructure is a significant predictor of verbal memory impairment in TLE.
  • Combining DTI and sMRI measures, particularly left HCV and specific white matter MD values, enhances the prediction of verbal memory deficits.
  • These findings highlight the complementary roles of DTI and sMRI in understanding cognitive dysfunction in TLE and potentially other memory disorders.