A set of composite, non-redundant EEG measures of NREM sleep based on the power law scaling of the Fourier spectrum

Bódizs, Róbert; Szalárdy, Orsolya; Horváth, Csenge G.; Ujma, Péter P.; Gombos, Ferenc; Simor, Péter; Pótári, Adrián; Zeising, Marcel; Steiger, Axel; Dresler, Martin

doi:10.1038/s41598-021-81230-7

Cited by 66 publications

(82 citation statements)

References 68 publications

(63 reference statements)

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“…We calculated Rüger area global significance as follows: 1/3 of the descriptive significances at p=.05/3 =.017 AND/OR half of descriptive significances at p=.05/2=.025. In this study, we considered data Rüger area significant under the "AND" condition (65,66). , respectively.…”

Section: Methodsmentioning

confidence: 99%

Topographical relocation of adolescent sleep spindles reveals a new maturational pattern in the human brain

Gombos

Bódizs

Pótári

et al. 2021

Preprint

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Current theories of human neural development and brain maturation emphasize the posterior-to-anterior or back-to-front pattern as an unequivocal ontogenetic feature that is largely due to the late maturing frontal lobes. The back-to-front pattern has received substantial support from both anatomical and electrophysiological studies, the latter looking at the age-related changes in the topography of sleep slow waves. However, the above scenario of a unidirectional developmental and anatomical route disregards the major hub of the so-called default-mode network, which is a human-specific and late maturing neural structure of the brain, undergoing significant differentiation during adolescence: the precuneus. In order to understand how the late maturation of the precuneus might modify the presently accepted large-scale maturational pattern of the human brain, here we focus on sleep spindles that are known to be involved in neural plasticity with major sources in the precuneus in adults. We provide evidence for the posteriorization in the prevailing anatomical localization of fast sleep spindles. The predominantly central maxima in density and amplitude of fast spindles at the age of 12 years becomes gradually shifted to the parietal regions until the age of 20. Similar changes, albeit at a smaller anatomical distance take place in terms of fast sleep spindle frequency. These findings indicate a front-to-back pattern of brain maturation and correspond with reports on an increased differentiation of the precuneus during adolescence.

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Section: Methodsmentioning

confidence: 99%

Topographical relocation of adolescent sleep spindles reveals a new maturational pattern in the human brain

Gombos

Bódizs

Pótári

et al. 2021

Preprint

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“…1c) (Gao, 2016). 1/f activity was previously disregarded as noise, but recent studies have shown that it's slope and offset are correlated with cognition and behavior (Bódizs et al, 2021;Colombo et al, 2019;Freeman and Zhai, 2009;Gao et al, 2020;Lendner et al, 2020;Miller et al, 2009a;Ouyang et al, 2020;Podvalny et al, 2015;Waschke et al, 2021), age (Dave et al, 2018;Schaworonkow and Voytek, 2021;Voytek et al, 2015), pharmacological manipulation (Stock et al, 2019;Timmermann et al, 2019), and disease (Robertson et al, 2019;Veerakumar et al, 2019). Despite tracking such a broad range of biological and cognitive phenomena, the neural substrate(s) of 1/f activity remain unknown.…”

Section: Introductionmentioning

confidence: 99%

The timescale and magnitude of 1/f aperiodic activity decrease with cortical depth in humans, macaques, and mice

Halgren

Kang

Voytek

et al. 2021

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Cortical dynamics obey a 1/f power law, exhibiting an exponential decay of spectral power with increasing frequency. The slope and offset of this 1/f decay reflect the timescale and magnitude of aperiodic neural activity, respectively. These properties are tightly linked to cellular and circuit mechanisms (e.g. excitation:inhibition balance, firing rates) as well as cognitive processes (perception, memory, state). However, the physiology underlying the 1/f power law in cortical dynamics is not well understood. Here, we compared laminar recordings from human, macaque and mouse cortex to evaluate how 1/f aperiodic dynamics vary across cortical layers and species. We report that 1/f slope is steepest in superficial layers and flattest in deep layers in each species. Additionally, the magnitude of this 1/f decay is greatest in superficial cortex and decreases with depth. Both of these findings can be accounted for by a simple model in which transmembrane currents have longer time constants and greater densities in superficial cortical layers. Together, our results provide novel mechanistic insight into aperiodic dynamics in cortex and suggest that the timescale and magnitude of aperiodic cortical currents decrease with cortical depth.

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“…Nevertheless, changes in the shape of 1/f activity in the brain have been linked to shifts in the balance between excitatory and inhibitory synaptic inputs in local neural circuits (Gao et al, 2017). Furthermore, although 1/f activity is often regarded as noise to be excluded before performing frequency-domain analyses (Gyurkovics et al, 2021), the shape parameters of 1/f activity have been found to be related to behavior and cognition (Bódizs et al, 2021;Clements, Bowie, et al, 2021;Immink et al, 2021;Lendner et al, 2020;Ouyang et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Stimulus-induced changes in 1/f-like background activity in EEG

Gyurkovics

Clements

Low

et al. 2021

Preprint

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Neural activity contains oscillatory components (i.e., narrowband oscillations) and non-oscillatory components (e.g., event-related potentials [ERPs] and 1/f-like background activity). Here, surface-level EEG data was analyzed to investigate how the spectral content of neural activity below 25 Hz changes from before to after an event. We focused on changes in non-oscillatory background activity, a spectral component often assumed to be static across time in time-frequency analyses. During a simple auditory perception task (n = 46) and an auditory oddball task (n = 23), we found an apparent increase in the offset and a decrease in the slope of 1/f activity from before to after a tone. Importantly, however, these changes in non-oscillatory background activity were almost completely accounted for by the emergence of ERPs in response to the stimulus in frequencies below the alpha range (8-12 Hz). Our findings suggest that post-event spectral changes below 25 Hz can be modelled as the sum of pre-event non-oscillatory activity, the spectrum of the ERP, and an independent alpha component that is modulated in amplitude, but not elicited, by the event. Theta activity (4-8 Hz), however, was not present before the event and appeared to be phase-locked to it. The theoretical and methodological implications of our findings regarding the nature and origin of 1/f activity, and the interpretation of low-frequency activity in the time-frequency domain are discussed.

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A set of composite, non-redundant EEG measures of NREM sleep based on the power law scaling of the Fourier spectrum

Cited by 66 publications

References 68 publications

Topographical relocation of adolescent sleep spindles reveals a new maturational pattern in the human brain

Topographical relocation of adolescent sleep spindles reveals a new maturational pattern in the human brain

The timescale and magnitude of 1/f aperiodic activity decrease with cortical depth in humans, macaques, and mice

Stimulus-induced changes in 1/f-like background activity in EEG

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