TY  - INPR
A1  - Aru, Juhan
A1  - Aru, Jaan
A1  - Priesemann, Viola
A1  - Wibral, Michael
A1  - Lana, Luiz
A1  - Pipa, Gordon
A1  - Singer, Wolf
A1  - Vicente, Raul
T1  - Untangling cross-frequency coupling in neuroscience
T2  - bioRxiv
N2  - 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.
Y1  - 2014
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/72372
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-723729
IS  - 005926
ER  -