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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Citations (Scopus)

Abstract

Relationships between cortical neural recordings as a representation of functional connectivity between cortical brain regions were quantified using different time-frequency criteria. Among these, Partial Directed Coherence (PDC) and Directed Transfer Function (DTF) and their extensions have found wide acceptance. This paper aims to assess and compare the performance of these two connectivity measures that are based on time-varying multivariate AR modeling. The time-varying parameters of the AR model are estimated using an Adaptive AR modeling (AAR) approach and a short-time based stationary approach. The performance of these two approaches is compared using both simulated signal and a multichannel newborn EEG recording. The results show that the time-varying PDC outperforms the time-varying DTF measure. The results also point to the limitation of the AAR algorithm in tracking rapid parameter changes and the drawback of the short-time approach in providing high resolution time-frequency coherence functions. However, it can be demonstrated that time-varying MVAR representations of the cortical connectivity will potentially lead to better understanding of non-symmetric relations between EEG channels.

Original languageEnglish
Title of host publication7th International Workshop on Systems, Signal Processing and their Applications, WoSSPA 2011
Pages179-182
Number of pages4
DOIs
Publication statusPublished - 2011
Event7th International Workshop on Systems, Signal Processing and their Applications, WoSSPA 2011 - Tipaza, Algeria
Duration: May 9 2011May 11 2011

Other

Other7th International Workshop on Systems, Signal Processing and their Applications, WoSSPA 2011
CountryAlgeria
CityTipaza
Period5/9/115/11/11

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ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

Cite this

Omidvarnia, A., Mesbah, M., O'Toole, J. M., Colditz, P., & Boashash, B. (2011). Analysis of the time-varying cortical neural connectivity in the newborn EEG: A time-frequency approach. In 7th International Workshop on Systems, Signal Processing and their Applications, WoSSPA 2011 (pp. 179-182). [5931445] https://doi.org/10.1109/WOSSPA.2011.5931445