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Content Provider | IEEE Xplore Digital Library |
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Author | Wacker, M. Putsche, P. Witte, H. |
Copyright Year | 2010 |
Description | Author affiliation: Institute for Medical Statistics, Computer Sciences and Documentation, Bernstein Group for Computational Neuroscience Jena, Friedrich Schiller University Jena, Germany (Wacker, M.; Putsche, P.; Witte, H.) |
Abstract | Time-variant (tv) phase-locking and synchronization characteristics of and between low-frequency (≤1.5 Hz) and high-frequency EEG oscillations (≥3.5 Hz) of the tracé alternant (TA) pattern in full-term newborns have been quantified to explore the origin of quadratic phase coupling (QPC, as non-linear phase coupling measure) between the frequency ranges 1 – 1.5 Hz ⇔ 3.5 – 4.5 Hz, which characterize the specific interactions of oscillations during the TA's burst activity. Using the Gabor transformation two measures of linear phase coupling, the phase-locking index (PLI) and the n:m phase synchronization index (PSI) have been determined. Phase-locking within the frequency ranges 1 –1.5 Hz and 3.5 – 4.5 Hz, and synchronization between both frequency ranges exists. These phase characteristics are significant 2 sec after burst onset and are associated with the maximum-values of the QPC(1 – 1.5 Hz ⇔ 3.5 – 4.5 Hz) which demonstrates that a specific neuronal coordination between the dynamics of phases and of amplitude-frequency dependencies must be underlying. |
Starting Page | 1706 |
Ending Page | 1709 |
File Size | 1065075 |
Page Count | 4 |
File Format | |
ISBN | 9781424441235 |
ISSN | 1557170X |
DOI | 10.1109/IEMBS.2010.5626845 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-08-31 |
Publisher Place | Argentina |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Oscillators Frequency modulation Electroencephalography Pediatrics Time frequency analysis Synchronization Couplings |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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