ArticleeLife2022
Time-resolved parameterization of aperiodic and periodic brain activity.
Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.
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Who cites it
55 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Aperiodic and Hurst EEG exponents across early human brain development: A systematic review.Developmental cognitive neuroscience · 2024Pooled it
- EEG-based clustering shows distinct separation of chronic pain patients before spinal cord stimulation surgery.NeuroImage · 2026Article
- Changes in Aperiodic (1/f Slope) Activity During a Picture-Word Interference Task: Effects of Congruency and Sequence Manipulations.Psychophysiology · 2026Article
- Potential mechanisms and functional significance of aperiodic neural activity.Nature human behaviour · 2026Review
- Lifespan development of EEG alpha and aperiodic component sources is shaped by the connectome and axonal delays.National science review · 2026Article
- How to Improve the Reliability of Aperiodic Parameter Estimates in M/EEG: A Method Comparison.Psychophysiology · 2026Article
- Aperiodicity in Mouse CA1 and DG Power Spectra.eNeuro · 2026Article
- Positive affect increases aperiodic brain activity.Psychological research · 2026Article
- Dissociating Contributions of Theta and Alpha Oscillations from Aperiodic Neural Activity in Human Visual Working Memory.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Mapping Executive Function Performance Based on Resting-State EEG in Healthy Individuals: A Systematic and Mechanistic Review.Journal of clinical medicine · 2026Review
- A division of labor in perception-action integration via hierarchical alpha-beta to beta-gamma coupling and local catecholaminergic control.Communications biology · 2026Article
- Brain-Wave Music Enhances Inhibitory Control Performance by Modulating Oscillations in the Motor Cortex and Frontoparietal Network.Neural plasticity · 2026Article
- Exploring the differences in neural oscillation mechanisms before and after sleep deprivation.Frontiers in neuroscience · 2026Article
- Changes in aperiodic (1/bioRxiv : the preprint server for biology · 2025Article
- Temporally resolved analyses of aperiodic features track neural dynamics during sleep.Communications psychology · 2025Article
- Article
- How to Improve the Reliability of Aperiodic Parameter Estimates in M/EEG: A Method Comparison and Recommendations for Best Practices.bioRxiv : the preprint server for biology · 2025Article
- Dynamic excitation/inhibition balance preceding seizure onset and its link to functional and structural brain architecture.BMC medicine · 2025Article
- Optimizing real-time phase detection in diverse rhythmic biological signals for phase-specific neurostimulation.Journal of neural engineering · 2025Article
- Article
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Authors and funding
3 authors.
Funding
Abstract
Macroscopic neural dynamics comprise both aperiodic and periodic signal components. Recent advances in parameterizing neural power spectra offer practical tools for evaluating these features separately. Although neural signals vary dynamically and express non-stationarity in relation to ongoing behaviour and perception, current methods yield static spectral decompositions. Here, we introduce Spectral Parameterization Resolved in Time (SPRiNT) as a novel method for decomposing complex neural dynamics into periodic and aperiodic spectral elements in a time-resolved manner. First, we demonstrate, with naturalistic synthetic data, SPRiNT's capacity to reliably recover time-varying spectral features. We emphasize SPRiNT's specific strengths compared to other time-frequency parameterization approaches based on wavelets. Second, we use SPRiNT to illustrate how aperiodic spectral features fluctuate across time in empirical resting-state EEG data (n=178) and relate the observed changes in aperiodic parameters over time to participants' demographics and behaviour. Lastly, we use SPRiNT to demonstrate how aperiodic dynamics relate to movement behaviour in intracranial recordings in rodents. We foresee SPRiNT responding to growing neuroscientific interests in the parameterization of time-varying neural power spectra and advancing the quantitation of complex neural dynamics at the natural time scales of behaviour.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.