Power struggles: Absolute vs. relative EEG power in developmental neuroscience

Resting electroencephalography (EEG) is a central tool for studying early brain function and development. Yet, a key methodological decision-whether to quantify spectral activity using absolute or relative power-remains inconsistently applied and theoretically underdeveloped. Absolute power indexes the raw amplitude of oscillatory activity, whereas relative power expresses each frequency band as a proportion of the total signal. Relative power is often assumed to control for non-neural variability (e.g., hair texture), but this assumption has rarely been evaluated, particularly during periods of rapid developmental change. This commentary integrates conceptual analysis with empirical examples from multiple pediatric samples to evaluate whether relative power is indeed less biased by common sources of non-neural variability. Across frequency bands, absolute and relative measures showed both convergence and divergence: higher-frequency activity (e.g., gamma) aligned across indices, whereas lower-frequency activity (e.g., theta) did not, suggesting distinct neurophysiological and developmental properties. Relative power dampened some amplitude-related effects (e.g., fatigue), but remained influenced by hair texture, affect, and time of day. Together, these findings indicate that relative power does not universally correct for non-neural or state-related variability but instead provides a complementary representation of spectral composition. We recommend that developmental EEG studies report and interpret both absolute and relative power, justify analytic choices, and account for biological and contextual covariates. Greater clarity and consistency in how these metrics are used will improve the interpretability, reproducibility, and developmental relevance of EEG findings.

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Publication Details

Journal
Developmental Cognitive Neuroscience
Published
2026-02-26
DOI
https://doi.org/10.1016/j.dcn.2026.101698
Primary Topic
Williams Syndrome Research
Type
article
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article

Power struggles: Absolute vs. relative EEG power in developmental neuroscience

Sonya V. Troller-Renfree, Aislinn Sandre
Developmental Cognitive Neuroscience
Williams Syndrome Research
article

Power struggles: Absolute vs. relative EEG power in developmental neuroscience

Sonya V. Troller-Renfree, Aislinn Sandre
article en

Abstract

Resting electroencephalography (EEG) is a central tool for studying early brain function and development. Yet, a key methodological decision-whether to quantify spectral activity using absolute or relative power-remains inconsistently applied and theoretically underdeveloped. Absolute power indexes the raw amplitude of oscillatory activity, whereas relative power expresses each frequency band as a proportion of the total signal. Relative power is often assumed to control for non-neural variability (e.g., hair texture), but this assumption has rarely been evaluated, particularly during periods of rapid developmental change. This commentary integrates conceptual analysis with empirical examples from multiple pediatric samples to evaluate whether relative power is indeed less biased by common sources of non-neural variability. Across frequency bands, absolute and relative measures showed both convergence and divergence: higher-frequency activity (e.g., gamma) aligned across indices, whereas lower-frequency activity (e.g., theta) did not, suggesting distinct neurophysiological and developmental properties. Relative power dampened some amplitude-related effects (e.g., fatigue), but remained influenced by hair texture, affect, and time of day. Together, these findings indicate that relative power does not universally correct for non-neural or state-related variability but instead provides a complementary representation of spectral composition. We recommend that developmental EEG studies report and interpret both absolute and relative power, justify analytic choices, and account for biological and contextual covariates. Greater clarity and consistency in how these metrics are used will improve the interpretability, reproducibility, and developmental relevance of EEG findings.

Developmental Cognitive NeuroscienceVol. 79
Western University (CA), Columbia University (US)
Openalex Percentile: Top 53%
Williams Syndrome Research
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