Show/Hide Menu
Hide/Show Apps
anonymousUser
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Videos
Videos
Thesis submission
Thesis submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Contact us
Contact us
Estimation of nonlinear neural source interactions via sliced bicoherence
Date
2016-09-01
Author
Özkurt, Tolga Esat
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
11
views
0
downloads
Cite This
Neural oscillations and their spatiotemporal interactions are of interest for the description of brain mechanisms. This study offers a novel third order spectral coupling measure named "sliced bicoherence". It is the diagonal slice of cross-bicoherence allowing an efficient quantification of the nonlinear interactions between neural sources. Our methodology comprises an indirect estimation method, a parametric confidence level formula and a subtracted version for robustness to volume conduction. The methodology provides an efficient estimation of third-order nonlinear cross relations reducing the complexity to the same order of second-order coherence computation. Unlike other bispectral measures, the suggested measure solely holds terms related to cross relations between channel sources and omits the possible strong autobispectral relations. Feasibility and robustness of the methodology are demonstrated both on simulated and publicly available MEG data. The latter were collected for a motor task and an eyes-open resting state. Analytical confidence level marked the non-significant couplings. Simulations confirmed that the subtracted bicoherence enabled robustness to volume conduction by avoiding the spurious nearby channel couplings. Central regions were shown to be coupled with muscular activity by sliced bicoherence. Couplings for spontaneous data occurred particularly at theta and alpha bands. Volume-conduction related bicoherence values originated especially from the low frequencies below 5 Hz. The suggested nonlinear measure is promising to be a part of the rich collection of the multichannel electrophysiological brain connectivity metrics.
Subject Keywords
Bicoherence
,
Connectivity
,
Cross-frequency coupling
,
Higher-order spectrum
,
Neural oscillations
,
Synchronization
URI
https://hdl.handle.net/11511/30732
Journal
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
DOI
https://doi.org/10.1016/j.bspc.2016.05.001
Collections
Graduate School of Informatics, Article
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
T. E. Özkurt, “Estimation of nonlinear neural source interactions via sliced bicoherence,”
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
, vol. 30, pp. 43–52, 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/30732.