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

Modulatory dynamics of periodic and aperiodic activity in respiration-brain coupling DOI Creative Commons
Daniel S. Kluger, Carina Forster,

Omid Abbasi

et al.

Nature Communications, Journal Year: 2023, Volume and Issue: 14(1)

Published: Aug. 5, 2023

Bodily rhythms such as respiration are increasingly acknowledged to modulate neural oscillations underlying human action, perception, and cognition. Conversely, the link between aperiodic brain activity - a non-oscillatory reflection of excitation-inhibition (E:I) balance has remained unstudied. Aiming disentangle potential respiration-related dynamics periodic activity, we applied recently developed algorithms time-resolved parameter estimation resting-state MEG EEG data from two labs (total N = 78 participants). We provide evidence that fluctuations (1/f slope) phase-locked respiratory cycle, which suggests spontaneous state shifts at least partly influenced by peripheral bodily signals. Moreover, differential temporal in their coupling oscillatory raise possibility functional distinction way each component is related respiration. Our findings highlight role physiological influence on signalling.

Language: Английский

Citations

24

Fundamentals of sleep regulation: Model and benchmark values for fractal and oscillatory neurodynamics DOI Creative Commons
Róbert Bódizs, Bence Schneider, Péter P. Ujma

et al.

Progress in Neurobiology, Journal Year: 2024, Volume and Issue: 234, P. 102589 - 102589

Published: March 1, 2024

Homeostatic, circadian and ultradian mechanisms play crucial roles in the regulation of sleep. Evidence suggests that ratios low-to-high frequency power electroencephalogram (EEG) spectrum indicate instantaneous level sleep pressure, influenced by factors such as individual sleep-wake history, current stage, age-related differences brain topography characteristics. These effects are well captured reflected spectral exponent, a composite measure constant ratio periodogram, which is scale-free exhibits lower interindividual variability compared to slow wave activity, potentially serving suitable standardization reference measure. Here we propose an index homeostasis based on reflecting membrane hyperpolarization and/or network bistability central nervous system humans. In addition, advance idea U-shaped overnight deceleration oscillatory fast spindle frequencies marks biological night, providing somnologists with EEG-index regulation. supporting this assertion comes from studies replacement, forced desynchrony protocols high-resolution analyses spindles. Finally, regulatory indicated recurrent, abrupt shifts dominant frequencies, ranges signifying non-rapid eye movement non-spindle oscillations – rapid phases cycles. Reconsidering indicators fundamental processes framework new Fractal Oscillatory Adjustment Model (FOAM) offers appealing opportunity bridge gap between two-process model clinical somnology.

Language: Английский

Citations

16

Brain health in diverse settings: How age, demographics and cognition shape brain function DOI Creative Commons
Hernán Hernandez, Sandra Báez, Vicente Medel

et al.

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

Citations

14

Adolescent-to-adult gains in cognitive flexibility are adaptively supported by reward sensitivity, exploration, and neural variability DOI Creative Commons
Ashley C. Parr, Valerie J. Sydnor, Finnegan J. Calabro

et al.

Current Opinion in Behavioral Sciences, Journal Year: 2024, Volume and Issue: 58, P. 101399 - 101399

Published: May 10, 2024

Language: Английский

Citations

10

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

Citations

1