Untangling cross-frequency coupling in neuroscience

  • 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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Metadaten
Author:Juhan Aru, Jaan AruORCiDGND, Viola PriesemannORCiDGND, Michael WibralORCiDGND, Luiz Lana, Gordon PipaORCiDGND, Wolf SingerORCiDGND, Raul VicenteORCiD
URN:urn:nbn:de:hebis:30:3-723729
DOI:https://doi.org/10.1101/005926
Parent Title (English):bioRxiv
Document Type:Preprint
Language:English
Date of Publication (online):2014/08/25
Date of first Publication:2014/08/25
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2023/04/20
Issue:005926
Page Number:47
HeBIS-PPN:509804993
Institutes:Medizin
Angeschlossene und kooperierende Institutionen / MPI für Hirnforschung
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Sammlungen:Universitätspublikationen
Licence (German):License LogoCreative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International