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

15 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

Fingerprint

Electroencephalography
Transfer functions
Brain

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

Analysis of the time-varying cortical neural connectivity in the newborn EEG : A time-frequency approach. / Omidvarnia, Amir; Mesbah, Mostefa; O'Toole, John M.; Colditz, Paul; Boashash, Boualem.

7th International Workshop on Systems, Signal Processing and their Applications, WoSSPA 2011. 2011. p. 179-182 5931445.

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

Omidvarnia, A, Mesbah, M, O'Toole, JM, 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., 5931445, pp. 179-182, 7th International Workshop on Systems, Signal Processing and their Applications, WoSSPA 2011, Tipaza, Algeria, 5/9/11. https://doi.org/10.1109/WOSSPA.2011.5931445
Omidvarnia A, Mesbah M, O'Toole JM, Colditz P, Boashash B. 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. 2011. p. 179-182. 5931445 https://doi.org/10.1109/WOSSPA.2011.5931445
Omidvarnia, Amir ; Mesbah, Mostefa ; O'Toole, John M. ; Colditz, Paul ; Boashash, Boualem. / Analysis of the time-varying cortical neural connectivity in the newborn EEG : A time-frequency approach. 7th International Workshop on Systems, Signal Processing and their Applications, WoSSPA 2011. 2011. pp. 179-182
@inproceedings{6a946fc1ac154a658335c2160a074e08,
title = "Analysis of the time-varying cortical neural connectivity in the newborn EEG: A time-frequency approach",
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.",
author = "Amir Omidvarnia and Mostefa Mesbah and O'Toole, {John M.} and Paul Colditz and Boualem Boashash",
year = "2011",
doi = "10.1109/WOSSPA.2011.5931445",
language = "English",
isbn = "9781457706905",
pages = "179--182",
booktitle = "7th International Workshop on Systems, Signal Processing and their Applications, WoSSPA 2011",

}

TY - GEN

T1 - Analysis of the time-varying cortical neural connectivity in the newborn EEG

T2 - A time-frequency approach

AU - Omidvarnia, Amir

AU - Mesbah, Mostefa

AU - O'Toole, John M.

AU - Colditz, Paul

AU - Boashash, Boualem

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=79960928407&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79960928407&partnerID=8YFLogxK

U2 - 10.1109/WOSSPA.2011.5931445

DO - 10.1109/WOSSPA.2011.5931445

M3 - Conference contribution

SN - 9781457706905

SP - 179

EP - 182

BT - 7th International Workshop on Systems, Signal Processing and their Applications, WoSSPA 2011

ER -