Toward a functional future for the cognitive neuroscience of human aging DOI Creative Commons

Zoya Mooraj,

Alireza Salami, Karen L. Campbell

et al.

Neuron, Journal Year: 2025, Volume and Issue: 113(1), P. 154 - 183

Published: Jan. 1, 2025

Language: Английский

Periodic and aperiodic changes to cortical EEG in response to pharmacological manipulation DOI
Sofia V. Salvatore, Peter Lambert,

Ann Benz

et al.

Journal of Neurophysiology, Journal Year: 2024, Volume and Issue: 131(3), P. 529 - 540

Published: Feb. 7, 2024

Neuropsychiatric illness may be associated with altered excitation/inhibition balance. A single electroencephalogram (EEG) parameter, the aperiodic exponent of power spectra, predict ratio between excitation and inhibition. Here, we use cortical EEGs in mice to evaluate this hypothesis, using pharmacological manipulations known mechanism. We show that EEG spectra is not a reliable marker ratio. Thus, alternative markers must sought.

Language: Английский

Citations

21

Resting EEG Periodic and Aperiodic Components Predict Cognitive Decline Over 10 Years DOI Creative Commons
Anna J Finley, Douglas J. Angus, Erik L. Knight

et al.

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

Citations

18

Strength of low-frequency EEG phase entrainment to external stimuli is associated with fluctuations in the brain’s internal state DOI Creative Commons
Verónica Mäki-Marttunen,

Alexandra Velinov,

Sander Nieuwenhuis

et al.

eNeuro, Journal Year: 2025, Volume and Issue: unknown, P. ENEURO.0064 - 24.2024

Published: Jan. 8, 2025

The brain attends to environmental rhythms by aligning the phase of internal oscillations. However, factors underlying fluctuations in strength this entrainment remain largely unknown. In present study we examined whether low-frequency EEG rhythmic stimulus sequences varied with pupil size and posterior alpha-band power, thought reflect arousal level excitability cortical areas, respectively. We recorded scalp while participants carried out an intermodal selective attention task, which they were instructed attend a sequence visual or auditory stimuli ignore other perceptual modality. As expected, intertrial coherence (ITC), measure strength, was larger for task-relevant than task-irrelevant Across experiment, alpha power strongly linked each other. Interestingly, ITC tracked both variables: associated increase sequence, whereas decrease sequences. Exploratory analyses showed that temporal relation between emerged time periods around maxima minima. These results indicate endogenous sources contribute distinctly entrainment. Significance statement Fluctuations state powerfully shape perception external stimuli. Understanding physiological signatures is crucial understand how selectively switches content. Here studied two attentional state, pupil-linked band, activity Our reveal common dissociable influences these at slow scales. Furthermore, measuring including as covariates statistical models can help studies focusing on provides new evidence direct influence

Language: Английский

Citations

2

Electroencephalogram aperiodic power spectral slope can be reliably measured and predicts ADHD risk in early development DOI
Sarah L. Karalunas, Brendan Ostlund, Brittany R. Alperin

et al.

Developmental Psychobiology, Journal Year: 2022, Volume and Issue: 64(3)

Published: Feb. 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.

Language: Английский

Citations

61

Time-resolved parameterization of aperiodic and periodic brain activity DOI Creative Commons
Luc Wilson, Jason da Silva Castanheira, Sylvain Baillet

et al.

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

Citations

59

Investigating the effects of different levels and types of construction noise on emotions using EEG data DOI
Mostafa Mir, Farnad Nasirzadeh, Hannah Bereznicki

et al.

Building and Environment, Journal Year: 2022, Volume and Issue: 225, P. 109619 - 109619

Published: Sept. 21, 2022

Language: Английский

Citations

41

Resting-state oscillations reveal disturbed excitation–inhibition ratio in Alzheimer’s disease patients DOI Creative Commons
Anne M van Nifterick, Danique Mulder, Denise Joanne Duineveld

et al.

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: May 7, 2023

An early disruption of neuronal excitation-inhibition (E-I) balance in preclinical animal models Alzheimer's disease (AD) has been frequently reported, but is difficult to measure directly and non-invasively humans. Here, we examined known novel neurophysiological measures sensitive E-I patients across the AD continuum. Resting-state magnetoencephalography (MEG) data 86 amyloid-biomarker-confirmed subjects continuum (17 diagnosed with subjective cognitive decline, 18 mild impairment (MCI) 51 dementia due probable (AD dementia)), 46 healthy elderly 20 young control were reconstructed source-space. was investigated by detrended fluctuation analysis (DFA), a functional E/I (fE/I) algorithm, aperiodic exponent power spectrum. We found disrupted ratio specifically, lower DFA, shift towards higher excitation, fE/I exponent. Healthy showed ratios (< 1.0) than reported previous literature, not explained age or choice an arbitrary threshold parameter, which warrants caution interpretation results. Correlation analyses that DFA (E-I imbalance) (more excitation) associated worse score patients. In contrast, hippocampi MCI score. This MEG-study imbalance, likely increased dementia, stage To accurately determine direction balance, validations currently used markers additional vivo are required.

Language: Английский

Citations

36

Decreased aperiodic neural activity in Parkinson’s disease and dementia with Lewy bodies DOI
Yevgenia Rosenblum, Tamara Shiner, Noa Bregman

et al.

Journal of Neurology, Journal Year: 2023, Volume and Issue: 270(8), P. 3958 - 3969

Published: May 3, 2023

Language: Английский

Citations

34

Periodic and Aperiodic EEG Features as Potential Markers of Developmental Dyslexia DOI Creative Commons
C Turri, Giuseppe Di Dona, A. Santoni

et al.

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

Citations

25

Aperiodic neural activity reflects metacontrol DOI
Chenyan Zhang, Ann‐Kathrin Stock, Moritz Mückschel

et al.

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

Citations

24