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Modeling effective connectivity in high-dimensional cortical source signals

To study the effective connectivity among sources in a densely voxelated (high-dimensional) cortical surface, we develop the source-space factor VAR model. The first step in our procedure is to estimate cortical activity from multichannel electroencephalograms (EEG) using anatomically constrained br...

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Main Authors: Wang, Y., Ting, C. M., Ombao, H.
Format: Article
Published: Institute of Electrical and Electronics Engineers Inc. 2016
Subjects:
R Medicine (General)
Online Access:http://eprints.utm.my/id/eprint/72019/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84989252431&doi=10.1109%2fJSTSP.2016.2600023&partnerID=40&md5=a38427785d9d527c9abe570d1510e936
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spelling my.utm.720192017-11-16T05:24:45Z http://eprints.utm.my/id/eprint/72019/ Modeling effective connectivity in high-dimensional cortical source signals Wang, Y. Ting, C. M. Ombao, H. R Medicine (General) To study the effective connectivity among sources in a densely voxelated (high-dimensional) cortical surface, we develop the source-space factor VAR model. The first step in our procedure is to estimate cortical activity from multichannel electroencephalograms (EEG) using anatomically constrained brain imaging methods. Following parcellation of the cortical surface into disjoint regions of interest (ROIs), latent factors within each ROI are computed using principal component analysis. These factors are ROI-specific low-rank approximations (or representations) which allow for efficient estimation of connectivity in the high-dimensional cortical source space. The second step is to model effective connectivity between ROIs by fitting a VAR model jointly on all the latent processes. Measures of cortical connectivity, in particular partial directed coherence, are formulated using the VAR parameters. We illustrate the proposed model to investigate connectivity and interactions between cortical ROIs during rest. Institute of Electrical and Electronics Engineers Inc. 2016 Article PeerReviewed Wang, Y. and Ting, C. M. and Ombao, H. (2016) Modeling effective connectivity in high-dimensional cortical source signals. IEEE Journal on Selected Topics in Signal Processing, 10 (7). pp. 1315-1325. ISSN 1932-4553 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84989252431&doi=10.1109%2fJSTSP.2016.2600023&partnerID=40&md5=a38427785d9d527c9abe570d1510e936
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic R Medicine (General)
spellingShingle R Medicine (General)
Wang, Y.
Ting, C. M.
Ombao, H.
Modeling effective connectivity in high-dimensional cortical source signals
description To study the effective connectivity among sources in a densely voxelated (high-dimensional) cortical surface, we develop the source-space factor VAR model. The first step in our procedure is to estimate cortical activity from multichannel electroencephalograms (EEG) using anatomically constrained brain imaging methods. Following parcellation of the cortical surface into disjoint regions of interest (ROIs), latent factors within each ROI are computed using principal component analysis. These factors are ROI-specific low-rank approximations (or representations) which allow for efficient estimation of connectivity in the high-dimensional cortical source space. The second step is to model effective connectivity between ROIs by fitting a VAR model jointly on all the latent processes. Measures of cortical connectivity, in particular partial directed coherence, are formulated using the VAR parameters. We illustrate the proposed model to investigate connectivity and interactions between cortical ROIs during rest.
format Article
author Wang, Y.
Ting, C. M.
Ombao, H.
author_facet Wang, Y.
Ting, C. M.
Ombao, H.
author_sort Wang, Y.
title Modeling effective connectivity in high-dimensional cortical source signals
title_short Modeling effective connectivity in high-dimensional cortical source signals
title_full Modeling effective connectivity in high-dimensional cortical source signals
title_fullStr Modeling effective connectivity in high-dimensional cortical source signals
title_full_unstemmed Modeling effective connectivity in high-dimensional cortical source signals
title_sort modeling effective connectivity in high-dimensional cortical source signals
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2016
url http://eprints.utm.my/id/eprint/72019/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84989252431&doi=10.1109%2fJSTSP.2016.2600023&partnerID=40&md5=a38427785d9d527c9abe570d1510e936
_version_ 1643656337778802688
score 13.244369

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