Measuring transient phase-amplitude coupling using local mutual information.
Cross-frequency coupling
ECoG
Mutual information
Phase-amplitude coupling
Journal
NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515
Informations de publication
Date de publication:
15 01 2019
15 01 2019
Historique:
received:
30
01
2018
revised:
04
10
2018
accepted:
11
10
2018
pubmed:
21
10
2018
medline:
7
3
2019
entrez:
21
10
2018
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 30342235
pii: S1053-8119(18)32005-6
doi: 10.1016/j.neuroimage.2018.10.034
pmc: PMC6342492
mid: NIHMS1510907
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
361-378Subventions
Organisme : NINDS NIH HHS
ID : R01 NS047293
Pays : United States
Informations de copyright
Copyright © 2018 Elsevier Inc. All rights reserved.
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