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.
Summary
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.
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