EEG aperiodic dynamics from early through late childhood: Associations with ADHD, cognition, and development DOI
Anne B. Arnett,

Matthew Zimon,

Sachin Subedi

et al.

Clinical Neurophysiology, Journal Year: 2024, Volume and Issue: 168, P. 161 - 167

Published: Nov. 16, 2024

Language: Английский

Gestational Duration and Postnatal Age‐Related Changes in Aperiodic and Periodic Parameters in Neonatal and Toddler Electroencephalogram (EEG) DOI Creative Commons
Silja Luotonen, Henry Railo, Henriette Acosta

et al.

Human Brain Mapping, Journal Year: 2025, Volume and Issue: 46(1)

Published: Jan. 1, 2025

ABSTRACT The brain develops most rapidly during pregnancy and early neonatal months. While prior electrophysiological studies have shown that aperiodic activity undergoes changes across infancy to adulthood, the role of gestational duration in periodic remains unknown. In this study, we aimed bridge gap by examining associations between EEG power spectrum both neonates toddlers. This cross‐sectional study involved data from 73 (postnatal age 1–5 days, 40 females) 56 toddlers 2.9–3.2 years, 28 FinnBrain Birth Cohort Study. spectra were parameterized components using SpecParam tool. We tested as well postnatal parameters while including birth weight child sex covariates. For neonates, multilevel models employed, considering different acquisitions (sleep auditory paradigm + sleep), toddlers, regression used only was available. found longer associated with a steeper frequencies Effect especially strong ( β = 0.45, p 0.004), it remained nearly statistically significant 0.061). quadratic association beta center frequency (12.5–30 Hz) found. overall higher females compared males. Offset (calculated curve at 2.5 theta had negative but not Our results suggest may relatively long‐lasting effects on physiology. possible behavioral cognitive consequences these are enticing topics for future research.

Language: Английский

Citations

0

EEG Time-Frequency Dynamics of Early Cognitive Control Development DOI Creative Commons
Santiago Morales, George A. Buzzell

Developmental Cognitive Neuroscience, Journal Year: 2025, Volume and Issue: unknown, P. 101548 - 101548

Published: March 1, 2025

Language: Английский

Citations

0

Code conflict in an event file task is reflected by aperiodic neural activity DOI

Yan Ji‐Min,

Lorenza S. Colzato, Bernhard Hommel

et al.

Neuroreport, Journal Year: 2025, Volume and Issue: 36(7), P. 337 - 341

Published: April 9, 2025

We investigated the relationship between aperiodic electroencephalography (EEG) activity and code conflict, hypothesizing that former might serve as an indicator of latter. analyzed EEG behavioral outcomes a sample performing event file task, which assesses conflict in co-occurring or temporally overlapping stimulus response features. To quantify activity, we employed fitting oscillations & one-over-f algorithm. The results revealed typical partial-repetition cost effect, indicating performance is impaired if repeats while alternates, vice versa. This suggests previously combined shape were stored retrieved when any one these components was repeated. Notably, this effect also evident exponent, lower for partial repetitions than full alternations, implying increased cortical noise, higher excitatory E / I ratio, noisier decision-making processes. scalp distribution aligns with its sensorimotor characteristics. Thus, interpret findings promising preliminary evidence exponent may valuable neural marker conflict.

Language: Английский

Citations

0

A systematic review of aperiodic neural activity in clinical investigations DOI Creative Commons
Thomas Donoghue

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 15, 2024

Abstract In the study of neuro-electrophysiological recordings, aperiodic neural activity – with no characteristic frequency has increasingly become a common feature study. This interest rapidly extended to clinical work, many reports investigating from patients broad range disorders. work typically seeks evaluate as putative biomarker relating diagnosis or treatment response, and/or potential marker underlying physiological activity. There is thus far clear consensus on if and how relates disorders, nor best practices for it in research. To address this, this systematic literature review, following PRISMA guidelines, examines electrophysiological recordings human psychiatric neurological finding 143 across 35 distinct Reports within disorders are summarized current findings examine what can be learned pertains analysis, interpretations, overall utility investigations. Aperiodic commonly reported relate diagnoses, 31 reporting significant effect diagnostic related studies. However, there variation consistency results heterogeneity patient groups, disease etiologies, status arising themes different Overall, variability results, potentially confounding covariates, limitations understanding suggests further needed before established pathological physiology. Finally, series recommendations proposed, based findings, limitations, key discussion topics assist guiding productive future studying Project Repository The project repository contains code & data project: https://github.com/TomDonoghue/AperiodicClinical

Language: Английский

Citations

3

Altered development of the Hurst Exponent in medial prefrontal cortex in preschoolers with autism DOI Creative Commons
Annika C. Linke, Bosi Chen, Lindsay Olson

et al.

Biological Psychiatry Cognitive Neuroscience and Neuroimaging, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 1, 2024

Language: Английский

Citations

1

EEG aperiodic dynamics from early through late childhood: Associations with ADHD, cognition, and development DOI
Anne B. Arnett,

Matthew Zimon,

Sachin Subedi

et al.

Clinical Neurophysiology, Journal Year: 2024, Volume and Issue: 168, P. 161 - 167

Published: Nov. 16, 2024

Language: Английский

Citations

1