Analysis of the time-varying cortical neural connectivity in the newborn EEG: a time-frequency approach. Amir Omidvarnia, Mostefa Mesbah, John M. O’Toole, Paul Colditz, Boualem Boashash. The University of Queensland Qatar University
Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.
Analysis of the time-varying cortical neural connectivity in the newborn EEG: a time-frequency approach
Amir Omidvarnia, Mostefa Mesbah,
John M. O’Toole, Paul Colditz,
The University of Queensland Qatar University
Centre for Clinical Research (UQCCR) College of Engineering
1. Which MVAR estimation method is able to present the time-varying interactions between neonatal EEG channels during the seizure?
where w is a vector white noise, the matrices Ar are given by:
Five monopolar channels (O1, O2, P3, P4, Cz) out of the 14 recorded according to the 10-20 standard  modified for newborns were selected from a newborn EEG dataset to investigate the time-varying interhemispheric and intrahemispheric interactions during an EEG seizure period.
aj(n,f) is the j’th column of the matrix A(n,f).
Adaptive DTF (left) and PDC (right) for the simulated model using the Kalman filtering approach.
Short-time DTF (left) and PDC (right) for the simulated model.
Short-time DTF (left) and PDC (right) of the newborn EEG data.
Suggested directed graphs based on ST-DTF (left) and ST-PDC (right) measures for the newborn EEG data.