Orthogonalized partial directed coherence for functional connectivity analysis of newborn EEG
Author | Omidvarnia A.H. |
Author | Azemi G. |
Author | Boashash B. |
Author | O'Toole J.M. |
Author | Colditz P. |
Author | Vanhatalo S. |
Available date | 2022-05-31T19:01:38Z |
Publication Date | 2012 |
Publication Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Resource | Scopus |
Identifier | http://dx.doi.org/10.1007/978-3-642-34481-7_83 |
Abstract | The aim of this study is to develop a time-frequency method and test its applicability to investigating directional cortical connectivity in the newborn brain considering the effect of volume conduction. We modified time-varying partial directed coherence (tv-PDC) based on orthogonalization of the MVAR model coefficients to deal with the effect of mutual independent sources. The novel measure was then tested using a simulated signal with feature dimensions relevant to EEG activity. From the neonatal EEG responses evoked by flash light stimuli (1Hz), we extracted the directional interactions over time within each hemisphere. The results suggest that the method is able to detect directed information flow within a sub-second time scale in nonstationary multichannel signals (such as newborn EEG) and attenuate the problematic effect of volume conduction for multichannel EEG connectivity analysis. |
Language | en |
Subject | Connectivity analysis Directed information Directional interactions EEG activity Feature dimensions Functional connectivity Model coefficient Multichannel EEG Multichannel signals Neonatal EEG Nonstationary Orthogonalization Partial directed coherence Simulated signals Time varying Time-frequency methods Time-scales Volume conduction Data processing Brain |
Type | Conference Paper |
Pagination | 683-691 |
Issue Number | PART 2 |
Volume Number | 7664 LNCS |
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Electrical Engineering [2649 items ]