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Aperiodic and Hurst EEG exponents across early human brain development: A systematic review
R A Stanyard1, D Mason2, C Ellis3
1Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, United Kingdom; Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom.
Developmental Cognitive Neuroscience
|June 25, 2024
Summary
Electroencephalographic (EEG) power-frequency slope exponents offer insights into neural excitation-inhibition (E:I) balance. Their developmental trajectory across childhood is complex, with early infancy showing rapid changes.
Area of Science:
- Neuroscience
- Developmental Neuroscience
- Computational Neuroscience
Background:
- Electroencephalographic (EEG) power-frequency slope exponents (1/fβ) serve as non-invasive biomarkers for neural activity's excitation-inhibition (E:I) balance.
- Altered E:I balance is implicated in neurodevelopmental conditions, making the developmental trajectory of 1/fβ crucial for early detection and intervention.
- Understanding the maturation of these EEG measures during early development (0-26 years) is essential for characterizing typical brain development.
Approach:
- A systematic review (PROSPERO-ID: CRD42023363294) was conducted to explore the early maturation of resting-state EEG 1/f measures.
- Studies included those with at least one 1/f measure and a minimum of 10 typically developing participants.
- Data from 42 studies (N=3478) were narratively synthesized, with risk of bias assessed using the Quality Assessment with Diverse Studies tool.
Key Points:
- Narrative synthesis of Hurst Exponent (HE) data indicates non-stationary EEG activity persists throughout development.
- Age-related trends in aperiodic exponents (AE) revealed rapid decreases during infancy, followed by heterogeneous changes.
- Developmental shifts in AE maxima suggest evolving spatial patterns in maturing brain connectivity.
Conclusions:
- The development of EEG 1/f measures is complex and varies across infancy and childhood.
- These findings underscore the need for further characterization of 1/f measure development.
- A deeper understanding of 1/f measure maturation is vital for elucidating how E:I balance influences brain and cognitive development.

