Sep 10, 2013

Assessment of cross-frequency coupling with confidence using generalized linear models

Journal of Neuroscience Methods
M A Kramer, U T Eden

Abstract

Brain voltage activity displays distinct neuronal rhythms spanning a wide frequency range. How rhythms of different frequency interact - and the function of these interactions - remains an active area of research. Many methods have been proposed to assess the interactions between different frequency rhythms, in particular measures that characterize the relationship between the phase of a low frequency rhythm and the amplitude envelope of a high frequency rhythm. However, an optimal analysis method to assess this cross-frequency coupling (CFC) does not yet exist. Here we describe a new procedure to assess CFC that utilizes the generalized linear modeling (GLM) framework. We illustrate the utility of this procedure in three synthetic examples. The proposed GLM-CFC procedure allows a rapid and principled assessment of CFC with confidence bounds, scales with the intensity of the CFC, and accurately detects biphasic coupling. Compared to existing methods, the proposed GLM-CFC procedure is easily interpretable, possesses confidence intervals that are easy and efficient to compute, and accurately detects biphasic coupling. The GLM-CFC statistic provides a method for accurate and statistically rigorous assessment of CFC.

  • References41
  • Citations8

References

Mentioned in this Paper

In Silico
Short Interspersed Nucleotide Elements
Cardinalis cardinalis
Log-Linear Models
Neurons
Brain
Isolate compound
CARD8 wt Allele
Neuronal
CARD8 gene

Related Feeds

Cell Adhesion Molecules in the Brain

Cell adhesion molecules found on cell surface help cells bind with other cells or the extracellular matrix to maintain structure and function. Here is the latest research on their role in the brain.

© 2020 Meta ULC. All rights reserved