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  Power and temporal dynamics of alpha oscillations at rest differentiate cognitive performance involving sustained and phasic cognitive control

Mahjoory, K., Cesnaite, E., Hohlefeld, F. U., Villringer, A., & Nikulin, V. V. (2019). Power and temporal dynamics of alpha oscillations at rest differentiate cognitive performance involving sustained and phasic cognitive control. NeuroImage, 188, 135-144. doi:10.1016/j.neuroimage.2018.12.001.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0002-B337-6 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-917C-E
Genre: Journal Article

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 Creators:
Mahjoory, Keyvan1, 2, Author              
Cesnaite, Elena1, Author              
Hohlefeld, Friederike U.3, Author
Villringer, Arno1, 4, Author              
Nikulin, Vadim V.1, 5, 6, Author              
Affiliations:
1Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
2Institute for Biomagnetism and Biosignal analysis, Münster University, Germany, ou_persistent22              
3Berlin Mobile Brain Imaging Lab, Department of Biological Psychology and Neuroergonomics, TU Berlin, Germany, ou_persistent22              
4Clinic for Cognitive Neurology, University of Leipzig, Germany, ou_persistent22              
5Centre for Cognition and Decision Making, Institute for Cognitive Neuroscience, National Research University Higher School of Economics, Moscow, Russia, ou_persistent22              
6Neurophysics Group, Department of Neurology, Charité University Medicine Berlin, Germany, ou_persistent22              

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Free keywords: Resting state EEG; Alpha; IAF; Long-range temporal correlations; Cognitive control; Attention
 Abstract: Resting state neuronal activity in EEG/MEG recordings is primarily characterized by the presence of alpha oscillations (approx. 8–12 Hz). However, their functional significance and link to cognitive task performance remains elusive. We investigated resting state neuronal activity and its relation to task performance by assessing traditional measures of alpha activity (power and individual alpha peak frequency) and dynamic properties of the signal measured by long-range temporal correlations (LRTC). Multichannel EEG was recorded at rest in 82 healthy male adults and compared to their cognitive performance, measured by tests involving executive functions, working memory, short- and long-term memory demands. Our results showed that attention-span scores positively correlated with alpha power at rest, with corresponding neuronal sources located primarily in the left-hemispheric anterior cingulate cortex, parietal regions, and bilateral suplementary motor areas. Furthermore, better working memory performance was related to increased LRTC of alpha oscillations at rest in the right hemispheric fronto-parietal, temporal, and occipital regions. Our findings suggest that resting state neuronal activity may reflect properties of brain networks that are functionally relevant for cognitive task performance. While alpha power measured at rest might relate to tasks that employ sustained inhibitory control, LRTC are suggested to reflect the capacity of neuronal networks to perform tasks that require phasic attention and quick adaptation to changing task demands.

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Language(s): eng - English
 Dates: 2018-11-092018-09-272018-12-012018-12-022019-03
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1016/j.neuroimage.2018.12.001
PMID: 30517844
Other: Epub ahead of print
 Degree: -

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Project name : Neuroeconomics of Neuroplasticity: How reinforcement learning in is intertwined with sensory memory reorganization
Grant ID : 16-18-00065
Funding program : -
Funding organization : Russian Science Foundation

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Title: NeuroImage
Source Genre: Journal
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Publ. Info: Orlando, FL : Academic Press
Pages: - Volume / Issue: 188 Sequence Number: - Start / End Page: 135 - 144 Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166