Linked sources of neural noise contribute to age-related cognitive decline

By Tam T. Tran, Camarin E. Rolle, Adam Gazzaley, Bradley Voytek. 2020

Subfields: Aging, Cognitive Neuroscience

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Citations in the corpus

The development of theta and alpha neural oscillations from ages 3 to 24 years (2021, background): “Critically, active stimuli processing flattens the slope (He et al., 2010; Podvalny et al., 2015), and a flattened slope is correlated with cognitive decline (Tran et al., 2020; Voytek et al., 2015).”
The development of aperiodic neural activity in the human brain (2024, unknown): “Such age-related flattening in task-free aperiodic activity predicts declines in memory performance 16 and alterations in stimulus-related neurophysiological responses, such as intertrial alpha phase clustering during visual spatial discrimination in the elderly 29 .”
Aperiodic Dynamics of Cell Assemblies Recruited for L1 and L2 Processing of French Wh-Dependencies Highlight a Temporo-Parietal Engagement in Syntax (2026, unknown): “Aperiodic activity shifts in early childhood [61–64] and in older adulthood [58,65,66], reflecting changes in brain circuits.”
Resting-state periodic and aperiodic brain oscillations from birth to preschool years: Aperiodic maturity predicts developmental course (2026, unknown): “Studies have observed an age-related flattening of RS power spectra from infancy to adolescence (Tran, 2020; Schawor-onkow and Voytek, 2021; Karalunas, 2022; He et al., 2019; Waschke et al., 2017; Voytek, 2015; Merkin, 2023; Donoghue, 2025).”
Resting-state EEG correlates of sustained attention in healthy ageing: Cross-sectional findings from the LEISURE study. (2024, background): “Studies have demonstrated that older adults tend to display a flatter aperiodic exponent (Dave et al., 2018; Merkin et al., 2022; Tran et al., 2020; Tr ¨ ondle et al., 2023; Voytek et al., 2015) and reduced offset (Merkin et al., 2022; Tr ¨ ondle et al., 2023) relative to younger adults.”
Theta activity and cognitive functioning: Integrating evidence from resting-state and task-related developmental electroencephalography (EEG) research (2024, background): “…the age-related shift in resting EEG power from lower to higher frequency bands has been shown to be better explained by changes in aperiodic activity rather than power changes in individual frequency bands (Donoghue, Haller, et al., 2020; Finley et al., 2022; Hill et al., 2022; Tran et al., 2020).”
Aperiodic and Hurst EEG exponents across early human brain development: A systematic review (2024, background): “…excitation and inhibition (E:I) balance in the brain is an essential homeostatic mechanism that regulates spontaneous neural activity and facilitates the complex activity patterns thought to underlie efficient information processing and adaptive behaviour (Rocha et al. , 2018; Bassi et al. , 2019).”
The development of oscillatory and aperiodic resting state activity is linked to a sensitive period in humans (2023, result): “Here we only considered the range 1 – 45 Hz due to the fact that not all recordings were done in an electrically shielded room and in agreement with recent EEG studies (Fransson et al., 2013; Voytek et al., 2015; Waschke et al., 2017; Dave et al., 2018; Colombo et al., 2019; Stock et al., 2020; Tran”
Periodic and aperiodic neural activity displays age-dependent changes across early-to-middle childhood (2021, result): “In adults, a reduction in the exponent (i.e., ‘flatter’ power spectral density [PSD]) with increasing age has been observed across several independent studies (Dave et al., 2018; Merkin et al., 2021; Tran et al., 2020; Voytek et al., 2015).”