Periodic and aperiodic neural activity displays age-dependent changes across early-to-middle childhood

Developmental Cognitive Neuroscience, Год журнала: 2022, Номер 54, С. 101076 - 101076

Опубликована: Янв. 22, 2022

The neurodevelopmental period spanning early-to-middle childhood represents a time of significant growth and reorganisation throughout the cortex. Such changes are critical for emergence maturation range social cognitive processes. Here, we utilised both eyes open closed resting-state electroencephalography (EEG) to examine maturational in oscillatory (i.e., periodic) non-oscillatory (aperiodic, '1/f-like') activity large cohort participants ranging from 4-to-12 years age (N = 139, average age=9.41 years, SD=1.95). EEG signal was parameterised into aperiodic periodic components, linear regression models were used evaluate if chronological could predict exponent offset, as well peak frequency power within alpha beta ranges. Exponent offset found decrease with age, while aperiodic-adjusted increased age; however, there no association between band. Age also unrelated spectral either or bands, despite ranges being correlated signal. Overall, these results highlight capacity features elucidate age-related functional developing brain.

Язык: Английский

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Theta activity and cognitive functioning: Integrating evidence from resting-state and task-related developmental electroencephalography (EEG) research

Developmental Cognitive Neuroscience, Год журнала: 2024, Номер 67, С. 101404 - 101404

Опубликована: Июнь 1, 2024

The theta band is one of the most prominent frequency bands in electroencephalography (EEG) power spectrum and presents an interesting paradox: while elevated during resting state linked to lower cognitive abilities children adolescents, increased tasks associated with higher performance. Why does power, measured versus tasks, show differential correlations functioning? This review provides integrated account functional correlates across different contexts. We first present evidence that correlated executive functioning, attentional abilities, language skills, IQ. Next, we research showing increases memory, attention, control, these processes better Finally, discuss potential explanations for between resting/task-related offer suggestions future this area.

Язык: Английский

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Decomposing the role of alpha oscillations during brain maturation

eLife, Год журнала: 2022, Номер 11

Опубликована: Авг. 25, 2022

Childhood and adolescence are critical stages of the human lifespan, in which fundamental neural reorganizational processes take place. A substantial body literature investigated accompanying neurophysiological changes, focusing on most dominant feature EEG signal: alpha oscillation. Recent developments signal-processing show that conventional measures power confounded by various factors need to be decomposed into periodic aperiodic components, represent distinct underlying brain mechanisms. It is therefore unclear how each part signal changes during maturation. Using multivariate Bayesian generalized linear models, we examined parameters activity largest openly available pediatric dataset (N=2529, age 5-22 years) replicated these findings a preregistered analysis an independent validation sample (N=369, 6-22 years). First, welldocumented age-related decrease total was replicated. However, when controlling for component, our provided strong evidence increase aperiodic-adjusted power. As reported previous studies, also relative revealed maturational increase, yet indicating underestimation relationship between The intercept slope decreased with increasing were highly correlated Consequently, earlier interpretations reconsidered, as elimination active synapses rather links decreases intercept. Instead, analyses diffusion tensor imaging data indicate related increased thalamocortical connectivity. Functionally, results suggest thalamic control cortical linked improved attentional performance

Язык: Английский

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Electroencephalogram aperiodic power spectral slope can be reliably measured and predicts ADHD risk in early development

Developmental Psychobiology, Год журнала: 2022, Номер 64(3)

Опубликована: Фев. 28, 2022

The aperiodic exponent of the electroencephalogram (EEG) power spectrum has received growing attention as a physiological marker neurodevelopmental psychopathology, including attention-deficit/hyperactivity disorder (ADHD). However, its use ADHD risk across development, and particularly in very young children, is limited by unknown reliability, difficulty aligning canonical band-based measures development periods, unclear effects treatment later development. Here, we investigate internal consistency EEG slope association with both infants (n = 69, 1-month-old) adolescents 262, ages 11-17 years). Results confirm good to excellent infancy adolescence. In infancy, larger was associated greater family history ADHD. contrast, adolescence, diagnosis smaller exponent, but only children who had not stimulant medication treatment. suggest that disruptions cortical may be detectable shortly after birth via this approach. Together, findings imply dynamic developmental shift which developmentally normative flattening exaggerated ADHD, potentially reflecting imbalances excitation inhibition could contribute long-lasting differences brain connectivity.

Язык: Английский

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Time-resolved parameterization of aperiodic and periodic brain activity

eLife, Год журнала: 2022, Номер 11

Опубликована: Сен. 8, 2022

Macroscopic neural dynamics comprise both aperiodic and periodic signal components. Recent advances in parameterizing power spectra offer practical tools for evaluating these features separately. Although signals vary dynamically express non-stationarity relation to ongoing behaviour perception, current methods yield static spectral decompositions. Here, we introduce Spectral Parameterization Resolved Time (SPRiNT) as a novel method decomposing complex into elements time-resolved manner. First, demonstrate, with naturalistic synthetic data, SPRiNT's capacity reliably recover time-varying features. We emphasize specific strengths compared other time-frequency parameterization approaches based on wavelets. Second, use SPRiNT illustrate how fluctuate across time empirical resting-state EEG data (n=178) relate the observed changes parameters over participants' demographics behaviour. Lastly, demonstrate movement intracranial recordings rodents. foresee responding growing neuroscientific interests of advancing quantitation at natural scales

Язык: Английский

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Age-related trends in aperiodic EEG activity and alpha oscillations during early- to middle-childhood

NeuroImage, Год журнала: 2023, Номер 269, С. 119925 - 119925

Опубликована: Фев. 3, 2023

Age-related structural and functional changes that occur during brain development are critical for cortical functioning. Previous electroencephalography (EEG) magnetoencephalography (MEG) studies have highlighted the utility of power spectra analyses uncovered age-related trends reflect perceptual, cognitive, behavioural states as well their underlying neurophysiology. The aim current study was to investigate change in aperiodic periodic alpha activity across a large sample pre- school-aged children (N = 502, age range 4 -11-years-of-age). Power were extracted from baseline EEG recordings (eyes closed, eyes open) each participant parameterized into derive offset exponent parameters oscillatory peak frequency associated estimates. Multilevel models run condition-dependent these measures. We found quadratic effects both exponent. In addition, we observed increases function age. Aperiodic measures larger magnitude closed compared open condition. Taken together, results advance our understanding maturational patterns/trajectories early- middle-childhood.

Язык: Английский

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Stability, change, and reliable individual differences in electroencephalography measures: A lifespan perspective on progress and opportunities

NeuroImage, Год журнала: 2023, Номер 275, С. 120116 - 120116

Опубликована: Май 9, 2023

Electroencephalographic (EEG) methods have great potential to serve both basic and clinical science approaches understand individual differences in human neural function. Importantly, the psychometric properties of EEG data, such as internal consistency test-retest reliability, constrain their ability differentiate individuals successfully. Rapid recent technological computational advancements research make it timely revisit topic reliability context difference analyses. Moreover, pediatric samples provide some most salient urgent opportunities apply approaches, but changes these populations experience over time also unique challenges from a perspective. Here we take developmental neuroscience perspective consider progress new for parsing stability measurements across lifespan. We first conceptually map different profiles measurement expected types analyses Next, summarize evaluate state field's empirical knowledge need testing measures power, event-related potentials, nonlinearity, functional connectivity ages. Finally, highlight how standardized pre-processing software denoising metrics data quality may be used further improve EEG-based moving forward. include recommendations resources throughout that researchers can implement utility reproducibility with

Язык: Английский

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Oscillatory Coupling Between Neural and Cardiac Rhythms

Psychological Science, Год журнала: 2024, Номер 35(5), С. 517 - 528

Опубликована: Апрель 3, 2024

Oscillations serve a critical role in organizing biological systems. In the brain, oscillatory coupling is fundamental mechanism of communication. The possibility that neural oscillations interact directly with slower physiological rhythms (e.g., heart rate, respiration) largely unexplored and may have important implications for psychological functioning. an aspect rate variability (HRV), show remarkably robust associations health. Mather Thayer proposed between high-frequency HRV (HF-HRV) as partially accounts such relationships. We tested this hypothesis by measuring phase-amplitude HF-HRV 37 healthy adults at rest. Robust was detected all frequency bands. Granger causality analyses indicated stronger heart-to-brain than brain-to-heart effects bands except gamma. These findings suggest cardiac play causal modulating oscillations, which mental

Язык: Английский

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Resting state EEG in young children with Tuberous Sclerosis Complex: associations with medications and seizures

Journal of Neurodevelopmental Disorders, Год журнала: 2025, Номер 17(1)

Опубликована: Янв. 18, 2025

Tuberous Sclerosis Complex (TSC) is a rare genetic condition caused by mutation to TSC1 or TSC2 genes, with population prevalence of 1/7000 births. TSC manifests behaviorally features autism, epilepsy, and intellectual disability. Resting state electroencephalography (EEG) offers window into neural oscillatory activity may serve as an intermediate biomarker between gene expression behavioral manifestations. Such could be useful in clinical trials endpoint predictor treatment response. However, seizures antiepileptic medications also affect resting undermine the utility EEG biomarkers neurodevelopmental disorders such TSC. This paper compares cross-sectional cohort young children (n = 49, ages 12-37 months) 49 age- sex-matched typically developing controls. Within TSC, associations were examined features, seizure severity composite score, use GABA agonists. Compared matched children, showed significantly greater beta power permutation cluster analyses. Children aperiodic offset (reflecting nonoscillatory neuronal firing) after spectra parameterized using SpecParam periodic components. both GABAergic medication independently associated increased peak power. The elevated observed compared controls driven agonist use. It recommended collect data alongside for trials. These results highlight challenge disabilities when epilepsy anti-epileptic are common.

Язык: Английский

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Genetic modulation of brain dynamics in neurodevelopmental disorders: the impact of copy number variations on resting-state EEG

Translational Psychiatry, Год журнала: 2025, Номер 15(1)

Опубликована: Апрель 11, 2025

Abstract Research has shown that many copy number variations (CNVs) increase the risk of neurodevelopmental disorders (e.g., autism, ADHD, schizophrenia). However, little is known about effects CNVs on brain development and function. Resting-state electroencephalography (EEG) a suitable method to study disturbances neuronal functioning in CNVs. We aimed determine whether there are resting-state EEG signatures characteristic children with pathogenic activity 109 CNV carriers (66 deletion carriers, 43 duplication carriers) aged 3 17 years was recorded for 4 minutes. To better account developmental variations, indices (power spectral density functional connectivity) were corrected normative model estimated from 256 Healthy Brain Network controls. Results showed decreased exponent aperiodic reduced alpha peak frequency carriers. Additionally, altered periodic components connectivity several bands. Deletion exhibited similar overall pattern deviations measures, although significance effect sizes relative control group varied across can be differentiated by their power gamma band low band, showing more disrupted alterations than The distinctive patterns found most prominent during adolescence. results suggest show electrophysiological compared neurotypical controls, regardless gene dosage affected genomic region. At same time, while duplications deletions share common alterations, each exhibits distinct alteration reflect dosage-specific effects.

Язык: Английский

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