Aperiodic EEG and 7T MRSI evidence for maturation of E/I balance supporting the development of working memory through adolescence

Developmental Cognitive Neuroscience, Journal Year: 2024, Volume and Issue: 66, P. 101373 - 101373

Published: April 1, 2024

Adolescence has been hypothesized to be a critical period for the development of human association cortex and higher-order cognition. A defining feature is shift in excitation: inhibition (E/I) balance neural circuitry, however how changes E/I may enhance cortical circuit function support maturational improvements cognitive capacities not known. Harnessing ultra-high field 7 T MR spectroscopy EEG large, longitudinal cohort youth (N = 164, ages 10–32 years old, 347 neuroimaging sessions), we delineate biologically specific associations between age-related excitatory glutamate inhibitory GABA neurotransmitters EEG-derived measures aperiodic activity reflective prefrontal cortex. Specifically, find that developmental increases reflected glutamate:GABA are linked assessed by suppression activity, which turn facilitates robust working memory. These findings indicate role E/I-engendered signaling mechanisms maturation maintenance. More broadly, this multi-modal imaging study provides evidence undergoes physiological consistent with plasticity during adolescence.

Language: 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, Journal Year: 2024, Volume and Issue: 67, P. 101404 - 101404

Published: June 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.

Language: Английский

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Decomposing the role of alpha oscillations during brain maturation

eLife, Journal Year: 2022, Volume and Issue: 11

Published: Aug. 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

Language: Английский

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Time-resolved parameterization of aperiodic and periodic brain activity

eLife, Journal Year: 2022, Volume and Issue: 11

Published: Sept. 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

Language: Английский

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Globally elevated excitation–inhibition ratio in children with autism spectrum disorder and below-average intelligence

Molecular Autism, Journal Year: 2022, Volume and Issue: 13(1)

Published: May 12, 2022

Abstract Background Altered neuronal excitation–inhibition (E–I) balance is strongly implicated in ASD. However, it not known whether the direction and degree of changes E–I ratio individuals with ASD correlates intellectual disability often associated this developmental disorder. The spectral slope aperiodic 1/f activity reflects at scale large populations may uncover its putative alternations without disability. Methods Herein, we used magnetoencephalography (MEG) to test would differentiate children average below–average (< 85) IQ. MEG was recorded rest eyes open/closed 49 boys aged 6–15 years IQ ranging from 54 128, age-matched typically developing (TD) boys. cortical source estimated using beamformer approach individual brain models. We then extracted by fitting a linear function log–log-scale power spectra high-frequency range. Results global averaged over all sources demonstrated high rank-order stability between two conditions. Consistent previous research, steeper eyes-closed than eyes-open condition flattened age. Regardless condition, below-average had flatter slopes either TD or above-average These group differences could be explained signal-to-noise periodic (alpha beta) activity. Limitations Further research needed find out observed ratios are characteristic other diagnostic groups. Conclusions atypically suggests shift toward hyper-excitation. can provide an accessible noninvasive biomarker for making objective judgments about treatment effectiveness people comorbid

Language: Английский

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

NeuroImage, Journal Year: 2023, Volume and Issue: 269, P. 119925 - 119925

Published: Feb. 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.

Language: Английский

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Periodic and Aperiodic EEG Features as Potential Markers of Developmental Dyslexia

Biomedicines, Journal Year: 2023, Volume and Issue: 11(6), P. 1607 - 1607

Published: June 1, 2023

Developmental Dyslexia (DD) is a neurobiological condition affecting the ability to read fluently and/or accurately. Analyzing resting-state electroencephalographic (EEG) activity in DD may provide deeper characterization of underlying pathophysiology and possible biomarkers. So far, studies investigating provided limited evidence did not consider aperiodic component power spectrum. In present study, adults with (n = 26) without 31) underwent reading skills assessment EEG investigate potential alterations activity, their impact on periodic counterpart performance. parieto-occipital channels, participants showed significantly different as indexed by flatter lower These measures were related text time, suggesting link individual differences difficulties. beta band, group decreased aperiodic-adjusted compared typical readers, which was correlated word accuracy. Overall, here we showing endogenous consistently increased neural noise hypothesis. addition, confirm rhythms, are discussed terms magnocellular-dorsal stream deficit.

Language: Английский

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Aperiodic neural activity reflects metacontrol

Cerebral Cortex, Journal Year: 2023, Volume and Issue: 33(12), P. 7941 - 7951

Published: March 16, 2023

Abstract Higher-level cognitive functions are mediated via complex oscillatory activity patterns and its analysis is dominating neuroscience research. However, besides (period) activity, also aperiodic constitutes neural dynamics, but relevance for higher-level only beginning to be understood. The present study examined whether the broadband EEG reflects principles of metacontrol. Metacontrol conceptualizes it more useful engage in flexible processing incoming information or shield processes from (persistence-heavy processing). We behavioral data a sample n = 191 healthy participants performing Simon Go/NoGo task that can assumed induce different metacontrol states (persistence-biased vs. flexibility-biased). Aperiodic was estimated using FOOOF toolbox power spectrum. There higher exponent offset NoGo trials compared with Go trials, incongruent (Go) congruent trials. Thus, increases during persistence-heavy processing, decreases flexibility-heavy processing. These findings link features signal concepts describing dynamics how control modes applied. Therefore, substantially extends importance understanding functions.

Language: Английский

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Resting EEG Periodic and Aperiodic Components Predict Cognitive Decline Over 10 Years

Journal of Neuroscience, Journal Year: 2024, Volume and Issue: 44(13), P. e1332232024 - e1332232024

Published: Feb. 19, 2024

Measures of intrinsic brain function at rest show promise as predictors cognitive decline in humans, including EEG metrics such individual α peak frequency (IAPF) and the aperiodic exponent, reflecting strongest oscillations relative balance excitatory/inhibitory neural activity, respectively. Both IAPF exponent decrease with age have been associated worse executive working memory. However, few studies jointly examined their associations function, none association longitudinal rather than cross-sectional impairment. In a preregistered secondary analysis data from Midlife United States (MIDUS) study, we tested whether measured predict (

Language: Английский

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Brain health in diverse settings: How age, demographics and cognition shape brain function

NeuroImage, Journal Year: 2024, Volume and Issue: 295, P. 120636 - 120636

Published: May 21, 2024

Diversity in brain health is influenced by individual differences demographics and cognition. However, most studies on diseases have typically controlled for these factors rather than explored their potential to predict signals. Here, we assessed the role of (age, sex, education; n = 1,298) cognition (n 725) as predictors different metrics usually used case-control studies. These included power spectrum aperiodic (1/f slope, knee, offset) metrics, well complexity (fractal dimension estimation, permutation entropy, Wiener spectral structure variability) connectivity (graph-theoretic mutual information, conditional organizational information) from source space resting-state EEG activity a diverse sample global south north populations. Brain-phenotype models were computed using reflecting local (power components) dynamics interactions (complexity graph-theoretic measures). Electrophysiological modulated despite varied methods data acquisition assessments across multiple centers, indicating that results unlikely be accounted methodological discrepancies. Variations signals mainly age cognition, while education sex exhibited less importance. Power measures sensitive capturing differences. Older age, poorer being male associated with reduced alpha power, whereas older network integration segregation. Findings suggest basic impact core function are standard Considering variability diversity settings would contribute more tailored understanding function.

Language: Английский

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