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[Development of the electroencephalogram in children--comparison of visual and automatic evaluation]
Insights
This study analyzed electroencephalograms (EEGs) in 399 children aged 6 months to 5 years. Spectral analysis of EEGs proved more accurate for age classification than visual evaluation.
Area of Science:
- Neuroscience
- Developmental Pediatrics
- Biomedical Engineering
Background:
- Electroencephalography (EEG) is crucial for assessing brain development in children.
- Understanding age-related changes in EEG patterns is vital for diagnosing neurological conditions.
- Previous studies have focused on visual EEG analysis, with limited exploration of spectral analysis for pediatric age classification.
Purpose of the Study:
- To investigate age-dependent changes in EEG activity in normal children.
- To compare the efficacy of visual versus spectral EEG analysis for pediatric age classification.
- To establish normative EEG data for children aged 6 months to 5 years.
Main Methods:
- Recorded bipolar EEG derivations from 399 children (6 months to 5 years) in the Munich Pediatric Longitudinal Study.
- Performed visual evaluation and spectral analysis on EEG data, with eyes open and closed conditions for older children.
- Utilized a computer-adapted evaluation sheet for visual analysis and assessed relative power and peak frequencies for spectral analysis.
Main Results:
- Dominant EEG frequencies shifted from 5.5 Hz at 6 months to 9 Hz at 5 years (eyes open).
- Spectral analysis revealed a reduction in delta band power (77% to 69%) and an increase in alpha band power (3% to 10%) with age.
- Spectral parameters provided more accurate age classification, correctly identifying up to 29% more children compared to visual parameters.
Conclusions:
- EEG spectral analysis offers a more precise method for age classification in young children than traditional visual assessment.
- Age-related changes in EEG frequency and power are significant and can be reliably quantified.
- This study provides valuable normative data for pediatric EEG, aiding in developmental assessments.
Abstract:
EEGs were recorded of 399 normal children, age 6 months to 5 years, in the Munich Pediatric Longitudinal Study. In all age groups bipolar EEG derivations were recorded with eyes open; in 259 children (age 3, 4 and 5 years) also with closed eyes. The visual evaluation--using a computer adapted evaluation sheet--showed a dominant activity of 5.5 Hz in 6 months old children, of 9 Hz in 5 years old children (eyes open). The mean amplitudes of the dominant activity decreased by 10 microV during this time. With eyes closed the dominant activity in the parieto-occipital area showed an increase from 7.7 to 8.5 Hz. The amplitude of 40-50 microV in the parieto-occipital areas was higher than in the frontal and temporal areas (25-30 microV). Examination with spectral analysis showed a reduction of the relative power in the delta range from 77 to 69% with a simultaneous increase in the alpha range from 3 to 10%. The peak frequencies showed an age dependent development corresponding to the visual analysis. Under the condition eyes open, the mean values of peak frequencies showed an increase from 8.6 to 9.5 Hz in the fronto-central areas and from 8.5 to 9.4 Hz in the occipital areas. With eyes closed the increase of peak frequencies reached up to 0.6 Hz for the age of 4 to 5 years. Age classification is more exact with spectral parameters. Compared to visual parameters, up to 29% more children were classified in the correct age-groups by spectral parameters. As expected the recognition rates decreased in older children.