Characterization of resting functional MRI activity alterations across epileptic foci and networks

Lucas E Sainburg1,2, Aubrey A Little3, Graham W Johnson1,2

  • 1Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37212, USA.

Insights

Mesial temporal lobe epilepsy (mTLE) increases functional magnetic resonance imaging (fMRI) activity in the epileptic focus and connected brain networks. This heightened fMRI activity spreads through brain networks and correlates with disease severity.

Area of Science:

  • Neuroimaging
  • Epilepsy research
  • Brain network analysis

Background:

  • Resting-state functional magnetic resonance imaging (fMRI) is widely used to study brain network alterations in epilepsy.
  • Characterizing fundamental fMRI signal changes in focal epilepsy, particularly mesial temporal lobe epilepsy (mTLE), remains underexplored.

Purpose of the Study:

  • To investigate how mTLE impacts fMRI signals within epileptic foci and associated brain networks.
  • To understand the spread of altered fMRI activity in mTLE patients.

Main Methods:

  • Acquisition of resting-state fMRI and diffusion MRI data from 47 unilateral mTLE patients and 96 healthy controls.
  • Quantification of fMRI activity using the amplitude of low-frequency fluctuations (ALFF).
  • Analysis of regional activity relationships, functional connectivity, and white matter tract involvement.

Main Results:

  • Increased fMRI activity (ALFF) observed in the epileptic focus and connected regions in mTLE patients.
  • Evidence of fMRI activity spread along white matter tracts, linked to functional connectivity and disease severity.
  • Decreased fMRI activity detected in the default mode network of right mTLE patients, distinct from focal increases.

Conclusions:

  • mTLE significantly alters fMRI signals, with increased activity originating from the epileptic focus and spreading across brain networks.
  • These findings offer crucial insights into the pathophysiology of fMRI signal changes in focal epilepsy.
  • The study highlights the potential of fMRI to reveal network-level disruptions in mTLE.

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