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  Untangling cross-frequency coupling in neuroscience

Aru, J., Aru, J., Priesemann, V., Wibral, M., Lana, L., Pipa, G., et al. (2015). Untangling cross-frequency coupling in neuroscience. Current Opinion in Neurobiology, 31, 51-61. doi:10.1016/j.conb.2014.08.002.

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Aru_2015_UntanglingCross-frequency.pdf (Publisher version), 2MB
 
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Aru_2015_UntanglingCross-frequency.pdf
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2014
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Copyright © 2014 Elsevier Ltd.
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 Creators:
Aru, Juhan, Author
Aru, Jaan1, Author
Priesemann, Viola, Author
Wibral, Michael, Author
Lana, Luiz1, Author
Pipa, Gordon, Author
Singer, Wolf1, 2, Author                 
Vicente, Raul1, Author
Affiliations:
1Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Max Planck Society, ou_2074314              
2Singer Lab, Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Max Planck Society, Deutschordenstraße 46, 60528 Frankfurt, DE, ou_3381220              

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Free keywords: Action Potentials/*physiology Animals Humans *Models, Neurological Nerve Net/*physiology *Neurosciences
 Abstract: Cross-frequency coupling (CFC) has been proposed to coordinate neural dynamics across spatial and temporal scales. Despite its potential relevance for understanding healthy and pathological brain function, the standard CFC analysis and physiological interpretation come with fundamental problems. For example, apparent CFC can appear because of spectral correlations due to common non-stationarities that may arise in the total absence of interactions between neural frequency components. To provide a road map towards an improved mechanistic understanding of CFC, we organize the available and potential novel statistical/modeling approaches according to their biophysical interpretability. While we do not provide solutions for all the problems described, we provide a list of practical recommendations to avoid common errors and to enhance the interpretability of CFC analysis.

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 Dates: 2014-09-152015-04
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.conb.2014.08.002
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Title: Current Opinion in Neurobiology
Source Genre: Journal
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Pages: - Volume / Issue: 31 Sequence Number: - Start / End Page: 51 - 61 Identifier: -