Co-maturation of theta and low-beta rhythms during child development
Abstract
The present report examines a possible co-maturation pattern between different frequency ranges on the spontaneous electroencephalogram (EEG) during development in childhood, adolescence and young adulthood. One hundred and sixty-seven subjects, between 6 and 26 years old were recorded during 3 min of spontaneous EEG. The power spectral density (PSD) logarithm was computed. There was a decrease in all frequency band ranges between 1 and 46 Hz. Correlation matrices for these frequencies were computed. A general trend of PSD correlation with neighboring frequencies was obtained. Furthermore, there was a high correlation during development between theta and beta ranges, and between high-beta and gamma frequency ranges. The correlation of theta versus beta was particularly high between the anterior and posterior electrode sites. Principal component analysis allowed the extraction of six components explaining the variance associated with the delta, theta, alpha, low-beta, high-beta and gamma ranges. Interestingly, the component explaining the theta rhythm also explained a fraction of the low-beta rhythm during development. The results suggest a pattern of co-maturation in the PSD of spontaneous EEG between theta and low-beta, and between high-beta and gamma, which would be due to the maturation of neural tissue underlying the sources of different frequencies. The possible functional role of theta-beta co-maturation in fronto-parietal electrode sites is suggested.
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There is a progressive shift in peak amplitude towards higher frequency activity.
“There is also a progressive shift in peak amplitude towards higher frequency activity (Miskovic et al., 2015; Rodriguez-Martinez et al., 2015; Smit et al., 2012; Whitford et al., 2007).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Rodriguez-Martinez et al., 2015
Spectral power decreases continually from 5-30 years of age across most frequency bands, particularly in the slow-wave (0.5-7Hz).
“One of the classical and well-reproduced findings is that spectral power (i.e. amplitude of activity within different temporal frequency bands) decreases continually from 5–30 years of age across most frequency bands, but particularly in the slow-wave (0.5–7Hz) (Miskovic et al., 2015; Rodriguez-Martinez et al., 2015; Smit et al., 2012; Whitford et al., 2007).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Rodriguez-Martinez et al., 2015
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Galilee, A. (2015) · University of Birmingham Institutional Research Archive (University of Birmingham)
- Authors
- Rodríguez-Martínez, E. I., Barriga-Paulino, C. I., Rojas-Benjumea, M. A., & Gómez, C. M.
- Affiliations
- Universidad de Sevilla (ES)
- Venue
- Brain Topography
- Published
- 2014-05-04
- Volume
- 28
- Issue
- 2
- Pages
- 250-260
- ISSN
- 0896-0267 (ISSN-L)
- 1573-6792
- OpenAlex
- W1986796257
- Cited by
- 36
- References
- 36
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 1 · 2023: 1 · 2022: 4 · 2021: 5 · 2020: 4 · 2019: 4 · 2018: 4 · 2017: 3 · 2016: 2 · 2015: 3
- FWCI
- 1.49
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Brain Topography (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Creativity in Education and Neuroscience
- Keywords
- EEG maturation, theta oscillations, gamma oscillations, spontaneous EEG, power spectral density, child development, adolescence, early adulthood
- MeSH terms
- Adolescent, Adult, Beta Rhythm, Brain, Child, Child Development, Electroencephalography, Female, Humans, Male, Signal Processing, Computer-Assisted, Theta Rhythm, Principal Component Analysis, Young Adult, Gamma Rhythm
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