Jun 4, 2014

Untangling cross-frequency coupling in neuroscience

BioRxiv : the Preprint Server for Biology
Juhan AruRaul Vicente

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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Mentioned in this Paper

G-Protein-Coupled Receptors
Spatial Distribution
Molecular_function
Cross Reactions
Neural Stem Cells
Biophysics
Brain Function
Statistical Technique
Pathology
Analysis

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