Journal
CURRENT OPINION IN NEUROBIOLOGY
Volume 31, Issue -, Pages 51-61Publisher
CURRENT BIOLOGY LTD
DOI: 10.1016/j.conb.2014.08.002
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Funding
- Max Planck Society
- LOEWE grant 'Neuronale Koordination Forschunsgschwerpunkt Frankfurt (NeFF)
- Hertie Foundation
- Estonian Research Council [PUT438]
- Estonian Ministry of Science and Education [SF0180008s12]
- German Ministry for Education and Research (BMBF) via the Bernstein Center for Computational Neuroscience (BCCN) Gottingen [01GQ1005B]
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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 statistica/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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