Progressive encephalopathy in m.3243A > G/MT-TL1 mutation carriers: a quantitative EEG analysis

Anna Scarabello1, Federico Mason2, Lorenzo Ferri3

  • 1DIBINEM Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.

Abstract

Insights

The m.3243A>G/MT-TL1 mutation causes progressive brain dysfunction, detectable through EEG changes like altered background rhythms and increased paroxysmal activity, even without stroke-like episodes (SLEs).

Area of Science:

  • Neuroscience
  • Genetics
  • Mitochondrial Diseases

Background:

  • The m.3243A>G/MT-TL1 mutation is linked to MELAS syndrome and milder MELAS-Spectrum Syndrome (MSS).
  • Longitudinal EEG changes in individuals with this mutation are not fully understood.

Purpose of the Study:

  • To systematically analyze longitudinal EEG changes in individuals with the m.3243A>G/MT-TL1 mutation.
  • To investigate the impact of stroke-like episodes (SLEs) on EEG patterns.

Main Methods:

  • Included adults with m.3243A>G/MT-TL1 mutation and at least two EEG recordings.
  • Quantified EEG metrics: delta-theta/alpha energy ratio (ER), Higuchi fractal dimension (HD), and paroxysmal activities (AR).
  • Assessed the effect of early SLEs using a linear mixed model.

Main Results:

  • EEG energy ratio (ER) significantly increased over time in posterior regions.
  • EEG after SLEs showed higher ER, lower HD, and an increasing AR trend.
  • Quantitative EEG metrics revealed progressive disruption of posterior background rhythms.

Conclusions:

  • Neurophysiological signs of progressive brain dysfunction occur independently of SLEs.
  • Early SLE consequences include background slowing, reduced complexity, and increased paroxysmal abnormalities.
  • Quantitative EEG analysis offers insights into MELAS and MSS progression.