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Updated: Apr 27, 2026

Automatic Detection of Highly Organized Theta Oscillations in the Murine EEG
Published on: March 10, 2017
Alpha-theta border EEG abnormalities in preclinical Huntington's disease
Natalya Ponomareva1, Sergey Klyushnikov2, Natalya Abramycheva2
1Department for Brain Research, Research Center of Neurology, Russian Academy of Medical Sciences, Moscow, Russia.
Resting-state electroencephalography (EEG) reveals subtle brain changes in preclinical Huntington's disease (HD) mutation carriers. Narrow EEG bands, particularly around 7-8 Hz, show significant alterations, suggesting potential for early detection in pre-HD individuals.
Area of Science:
- Neuroscience
- Genetics
- Biomarkers
Background:
- Brain dysfunction is evident years before clinical symptoms in Huntington's disease (HD).
- Identifying early biomarkers in preclinical HD mutation carriers (pre-HD) is crucial for understanding disease progression.
Purpose of the Study:
- To investigate alterations in resting-state electroencephalography (EEG) in pre-HD individuals.
- To determine if specific EEG frequency bands can detect preclinical changes associated with HD.
Main Methods:
- Resting-state EEG data were collected from 29 pre-HD individuals and 29 age-matched controls.
- Analysis focused on relative power of traditional EEG bands and 1-Hz sub-bands within theta and alpha ranges.
Main Results:
- A significant reduction in the relative power of a narrow theta-alpha band (7-8 Hz) was observed in pre-HD subjects.
- Broad EEG band alterations were not statistically significant.
- Correlations were found between CAG repeat numbers, disease burden score, and specific EEG power in delta, theta, and alpha bands.
Conclusions:
- Narrow EEG band analysis is more sensitive for detecting alterations in pre-HD individuals compared to broad bands.
- Observed EEG changes may reflect the underlying pathological process and contribute to the HD endophenotype.
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