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  Non-zero mean alpha oscillations revealed with computational model and empirical data

Studenova, A. A., Villringer, A., & Nikulin, V. V. (2022). Non-zero mean alpha oscillations revealed with computational model and empirical data. PLoS Computational Biology, 18(7): e1010272. doi:10.1371/journal.pcbi.1010272.

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Studenova, Alina A.1, 2, Author
Villringer, Arno1, 3, Author           
Nikulin, Vadim V.1, 2, 4, 5, Author           
Affiliations:
1Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
2Institute of Cognitive Neuroscience, National Research University Higher School of Economics, Moscow, Russia, ou_persistent22              
3Clinic for Cognitive Neurology, University of Leipzig, Germany, ou_persistent22              
4Neurophysics Group, Department of Neurology, Charité University Medicine Berlin, Germany, ou_persistent22              
5Bernstein Center for Computational Neuroscience, Berlin, Germany, ou_persistent22              

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 Abstract: Ongoing oscillations and evoked responses are two main types of neuronal activity obtained with diverse electrophysiological recordings (EEG/MEG/iEEG/LFP). Although typically studied separately, they might in fact be closely related. One possibility to unite them is to demonstrate that neuronal oscillations have non-zero mean which predicts that stimulus- or task-triggered amplitude modulation of oscillations can contribute to the generation of evoked responses. We validated this mechanism using computational modelling and analysis of a large EEG data set. With a biophysical model, we indeed demonstrated that intracellular currents in the neuron are asymmetric and, consequently, the mean of alpha oscillations is non-zero. To understand the effect that neuronal currents exert on oscillatory mean, we varied several biophysical and morphological properties of neurons in the network, such as voltage-gated channel densities, length of dendrites, and intensity of incoming stimuli. For a very large range of model parameters, we observed evidence for non-zero mean of oscillations. Complimentary, we analysed empirical rest EEG recordings of 90 participants (50 young, 40 elderly) and, with spatio-spectral decomposition, detected at least one spatially-filtred oscillatory component of non-zero mean alpha oscillations in 93% of participants. In order to explain a complex relationship between the dynamics of amplitude-envelope and corresponding baseline shifts, we performed additional simulations with simple oscillators coupled with different time delays. We demonstrated that the extent of spatial synchronisation may obscure macroscopic estimation of alpha rhythm modulation while leaving baseline shifts unchanged. Overall, our results predict that amplitude modulation of neural oscillations should at least partially explain the generation of evoked responses. Therefore, inference about changes in evoked responses with respect to cognitive conditions, age or neuropathologies should be constructed while taking into account oscillatory neuronal dynamics.

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Language(s): eng - English
 Dates: 2022-01-312022-06-012022-07-08
 Publication Status: Published online
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 Identifiers: DOI: 10.1371/journal.pcbi.1010272
Other: eCollection 2022
PMID: 35802619
PMC: PMC9269450
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Title: PLoS Computational Biology
Source Genre: Journal
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Publ. Info: San Francisco, CA : Public Library of Science
Pages: - Volume / Issue: 18 (7) Sequence Number: e1010272 Start / End Page: - Identifier: ISSN: 1553-734X
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000017180_1