Inferring Functional Neural Connectivity with Phase Synchronization Analysis: A Review of Methodology
Functional neural connectivity is drawing increasing attention in neuroscience research. To infer functional connectivity from observed neural signals, various methods have been proposed. Among them, phase synchronization analysis is an important and effective one which examines the relationship of...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2012-01-01
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| Series: | Computational and Mathematical Methods in Medicine |
| Online Access: | http://dx.doi.org/10.1155/2012/239210 |
| Summary: | Functional neural connectivity is drawing increasing
attention in neuroscience research. To infer functional connectivity
from observed neural signals, various methods have been
proposed. Among them, phase synchronization analysis is an
important and effective one which examines the relationship
of instantaneous phase between neural signals but neglecting
the influence of their amplitudes. In this paper, we review the
advances in methodologies of phase synchronization analysis. In
particular, we discuss the definitions of instantaneous phase, the
indexes of phase synchronization and their significance test, the
issues that may affect the detection of phase synchronization
and the extensions of phase synchronization analysis. In practice,
phase synchronization analysis may be affected by observational
noise, insufficient samples of the signals, volume conduction,
and reference in recording neural signals. We make comments
and suggestions on these issues so as to better apply phase
synchronization analysis to inferring functional connectivity from
neural signals. |
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| ISSN: | 1748-670X 1748-6718 |