Related Experiment Video
Updated: Aug 15, 2026

EEG Mu Rhythm in Typical and Atypical Development
Published on: April 9, 2014
Changes in the background activity of the electroencephalogram according to age
Insights
This study analyzed electroencephalogram (EEG) spectral activity in children aged 4-11. Fast alpha activity showed the strongest correlation with age, with girls exhibiting slower EEG maturation than boys.
Area of Science:
- Neuroscience
- Developmental Psychology
- Biomedical Engineering
Background:
- Electroencephalogram (EEG) spectral analysis is crucial for understanding brain development.
- Childhood EEG maturation involves changes in theta and alpha frequency bands.
- Previous research indicates potential sex-based differences in neural development.
Purpose of the Study:
- To investigate the relationship between age and EEG spectral activity in healthy children.
- To identify specific EEG frequency bands that correlate with age.
- To explore sex differences in EEG maturation patterns.
Main Methods:
- Spectral analysis of background EEG activity in 295 healthy children (4-11 years old).
- Calculation of relative powers for theta, slow alpha, and fast alpha frequency bands.
- Estimation of non-parametric regression functions using Rosenblatt's method.
Main Results:
- Logarithmically transformed fast alpha activity in occipital leads demonstrated the strongest correlation with age (r ≈ 0.57).
- Fast alpha activity shifted from central to occipital dominance around age 8.
- Girls exhibited a higher percentage of slower EEG activity and lower fast activity compared to boys, suggesting delayed maturation.
Conclusions:
- Fast alpha activity is a key indicator of EEG maturation in childhood.
- Significant sex differences exist in EEG maturation, with girls showing a potentially retarded pattern up to age 11.
- These findings highlight age- and sex-specific trajectories in neural development.
Abstract:
Spectral analysis of the background activity of the EEG was performed in 295 healthy children, 4--11 years old, using the relative powers of theta (3.5--7.0 c/sec), slow alpha (7.5--9.0 c/sec) and fast alpha (9.5--12.5 c/sec) bands. Non-parametric regression functions of spectral parameters were estimated using Rosenblatt's method. The correlation with age is best represented by the logarithmically transformed value of fast alpha activity in the occipital leads (r = 0.5783 for O2 and 0.5657 for O1). Differences between corresponding points of the two hemispheres are small. The fast alpha activity is slightly more prominent in central leads up to 8 years of age but becomes dominant occipitally after that age. In the maturation of the EEG there are significant differences between boys and girls: the mean percentage of slower activity is higher, and of faster activity is lower, in girls than boys. Thus the EEG maturation in girls up to 11 years seems to be retarded compared with boys.

