Pre-proof Longitudinal changes in aperiodic and periodic activity in electrophysiological recordings in the first seven months of life

By N. Schaworonkow, Bradley Voytek. 2020

Subfields: Cognitive Neuroscience, Developmental Neuroscience

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Citations in the corpus

Scale-Free Neurodynamics as Functional Fingerprint of Brain Regions (2026, unknown): “Voytek et al. [17] further demonstrated that age-related changes in the spectral slope reflect meaningful alterations in cortical circuitry, while distinct developmental changes in aperiodic dynamics during infancy have also been reported [18,19].”
The development of aperiodic neural activity in the human brain (2024, unknown): “6 and 7, and for main effects of task-based and task-free slopes on memory, see Supplementary Figs.”
Revolutionizing Pediatric Neurophysiology With Magnetoencephalography (2026, unknown): “Understandably, the EEG cluster studies have produced inconsistent results: Rico-Picó et al. (2023) and Schaworonkow and Voytek (2021) observed statistically significant regional differences in the aperiodic measures, whereas several other studies did not observe significant regional differences…”
Resting-state periodic and aperiodic brain oscillations from birth to preschool years: Aperiodic maturity predicts developmental course (2026, unknown): “Whereas most infant studies report age-related decreases for the aperiodic exponent (Cellier et al., 2021; Schaworonkow et al., 2021; Favaro et al., 2023; Vandewouw et al., 2024; Hill et al., 2022; Tr ¨ ondle et al., 2022; Rico-Pic ´ o et al., 2023, but see Isler et al., 2023) and offset (Cellier…”
Confirmation of a Useful Dark‐Room Resting‐State Procedure: Periodic and Aperiodic MEG Activity in Children (2026, unknown): “Given age-related PAF changes in children (e.g., see Miskovic et al. 2015; Somsen et al. 1997) as well as age-related aperiodic changes (Schaworonkow and Voytek 2021; Cellier et al. 2021; Hill et al. 2022; McSweeney et al. 2023; Wilkinson et al. 2023), analyses also assessed the similarity of the…”
Aperiodic parameters of the fMRI power spectrum associate with preterm birth and neonatal age (2026, unknown): “While the utility of parameterizing brain activity in terms of its periodic and aperiodic components has been demonstrated in numerous electrophysiological studies 27,28,33,34 , the methodology has not been widely adopted for the analysis of fMRI datasets.”
Reevaluating the neural noise in dyslexia using biomarkers from electroencephalography and high-resolution magnetic resonance spectroscopy (2025, unknown): “…f signal has shown associations with various conditions putatively characterized by changes in E/I balance, such as early development in infancy ( Schaworonkow and Voytek, 2021 ), healthy aging ( Voytek et al., 2015 ), and neurodevelopmental disorders like ADHD ( Ostlund et al., 2021 ), autism…”
Electrophysiological decoding captures the temporal trajectory of face categorization in infants (2024, unknown): “Differences between the present study and the previous studies in adults might be explained by slower encoding of face configuration information due to only gradually emerging fast electro-physiological activity (Anderson and Perone, 2018; Schaworonkow and Voytek, 2021; Cellier et al., 2021).”
Exploring Background Aperiodic Electroencephalography (EEG) Activity in the Bucharest Early Intervention Project (2024, unknown): “For instance, to our knowledge, longitudinal research has only examined changes during development within a narrow period in childhood (e.g., Schaworonkow & Voytek, 2021) and early adolescence (McSweeney et al., 2021).”