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Noise-Assisted Instantaneous Coherence Analysis of Brain Connectivity
Joint Authors
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-05-29
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Characterizing brain connectivity between neural signals is key to understanding brain function.
Current measures such as coherence heavily rely on Fourier or wavelet transform, which inevitably assume the signal stationarity and place severe limits on its time-frequency resolution.
Here we addressed these issues by introducing a noise-assisted instantaneous coherence (NAIC) measure based on multivariate mode empirical decomposition (MEMD) coupled with Hilbert transform to achieve high-resolution time frequency representation of neural coherence.
In our method, fully data-driven MEMD, together with Hilbert transform, is first employed to provide time-frequency power spectra for neural data.
Such power spectra are typically sparse and of high resolution, that is, there usually exist many zero values, which result in numerical problems for directly computing coherence.
Hence, we propose to add random noise onto the spectra, making coherence calculation feasible.
Furthermore, a statistical randomization procedure is designed to cancel out the effect of the added noise.
Computer simulations are first performed to verify the effectiveness of NAIC.
Local field potentials collected from visual cortex of macaque monkey while performing a generalized flash suppression task are then used to demonstrate the usefulness of our NAIC method to provide highresolution time-frequency coherence measure for connectivity analysis of neural data.
American Psychological Association (APA)
Hu, Meng& Liang, Hualou. 2012. Noise-Assisted Instantaneous Coherence Analysis of Brain Connectivity. Computational Intelligence and Neuroscience،Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-459523
Modern Language Association (MLA)
Hu, Meng& Liang, Hualou. Noise-Assisted Instantaneous Coherence Analysis of Brain Connectivity. Computational Intelligence and Neuroscience No. 2012 (2012), pp.1-12.
https://search.emarefa.net/detail/BIM-459523
American Medical Association (AMA)
Hu, Meng& Liang, Hualou. Noise-Assisted Instantaneous Coherence Analysis of Brain Connectivity. Computational Intelligence and Neuroscience. 2012. Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-459523
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-459523