Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Journal articles
  4. Measuring transient phase-amplitude coupling using local mutual information
 
research article

Measuring transient phase-amplitude coupling using local mutual information

Martinez-Cancino, Ramon
•
Heng, Joseph
•
Delorme, Arnaud
Show more
January 15, 2019
Neuroimage

Here we demonstrate the suitability of a local mutual information measure for estimating the temporal dynamics of cross-frequency coupling (CFC) in brain electrophysiological signals. In CFC, concurrent activity streams in different frequency ranges interact and transiently couple. A particular form of CFC, phase-amplitude coupling (PAC), has raised interest given the growing amount of evidence of its possible role in healthy and pathological brain information processing. Although several methods have been proposed for PAC estimation, only a few have addressed the estimation of the temporal evolution of PAC, and these typically require a large number of experimental trials to return a reliable estimate. Here we explore the use of mutual information to estimate a PAC measure (MIPAC) in both continuous and event-related multi-trial data. To validate these two applications of the proposed method, we first apply it to a set of simulated phase-amplitude modulated signals and show that MIPAC can successfully recover the temporal dynamics of the simulated coupling in either continuous or multi-trial data. Finally, to explore the use of MIPAC to analyze data from human event-related paradigms, we apply it to an actual event-related human electrocorticographic (ECoG) data set that exhibits strong PAC, demonstrating that the MIPAC estimator can be used to successfully characterize amplitude-modulation dynamics in electrophysiological data.

  • Details
  • Metrics
Type
research article
DOI
10.1016/j.neuroimage.2018.10.034
Web of Science ID

WOS:000451628200033

Author(s)
Martinez-Cancino, Ramon
Heng, Joseph
Delorme, Arnaud
Kreutz-Delgado, Ken
Sotero, Roberto C.
Makeig, Scott
Date Issued

2019-01-15

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE

Published in
Neuroimage
Volume

185

Start page

361

End page

378

Subjects

Neurosciences

•

Neuroimaging

•

Radiology, Nuclear Medicine & Medical Imaging

•

Neurosciences & Neurology

•

Radiology, Nuclear Medicine & Medical Imaging

•

phase-amplitude coupling

•

cross-frequency coupling

•

ecog

•

mutual information

•

neuronal oscillations

•

high-frequency

•

alpha-rhythm

•

gamma

•

dynamics

•

ensemble

•

toolbox

•

nucleus

•

areas

•

bias

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
SV  
Available on Infoscience
January 23, 2019
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/153990
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés