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Granger causal time-dependent source connectivity in the somatosensory network

Exploration of transient Granger causal interactions in neural sources of electrophysiological activities provides deeper insights into brain information processing mechanisms. However, the underlying neural patterns are confounded by time-dependent dynamics, non-stationarity and observational noise...

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Autores principales: Gao, Lin, Sommerlade, Linda, Coffman, Brian, Zhang, Tongsheng, Stephen, Julia M., Li, Dichen, Wang, Jue, Grebogi, Celso, Schelter, Bjoern
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4441010/
https://www.ncbi.nlm.nih.gov/pubmed/25997414
http://dx.doi.org/10.1038/srep10399
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author Gao, Lin
Sommerlade, Linda
Coffman, Brian
Zhang, Tongsheng
Stephen, Julia M.
Li, Dichen
Wang, Jue
Grebogi, Celso
Schelter, Bjoern
author_facet Gao, Lin
Sommerlade, Linda
Coffman, Brian
Zhang, Tongsheng
Stephen, Julia M.
Li, Dichen
Wang, Jue
Grebogi, Celso
Schelter, Bjoern
author_sort Gao, Lin
collection PubMed
description Exploration of transient Granger causal interactions in neural sources of electrophysiological activities provides deeper insights into brain information processing mechanisms. However, the underlying neural patterns are confounded by time-dependent dynamics, non-stationarity and observational noise contamination. Here we investigate transient Granger causal interactions using source time-series of somatosensory evoked magnetoencephalographic (MEG) elicited by air puff stimulation of right index finger and recorded using 306-channel MEG from 21 healthy subjects. A new time-varying connectivity approach, combining renormalised partial directed coherence with state space modelling, is employed to estimate fast changing information flow among the sources. Source analysis confirmed that somatosensory evoked MEG was mainly generated from the contralateral primary somatosensory cortex (SI) and bilateral secondary somatosensory cortices (SII). Transient Granger causality shows a serial processing of somatosensory information, 1) from contralateral SI to contralateral SII, 2) from contralateral SI to ipsilateral SII, 3) from contralateral SII to contralateral SI, and 4) from contralateral SII to ipsilateral SII. These results are consistent with established anatomical connectivity between somatosensory regions and previous source modeling results, thereby providing empirical validation of the time-varying connectivity analysis. We argue that the suggested approach provides novel information regarding transient cortical dynamic connectivity, which previous approaches could not assess.
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spelling pubmed-44410102015-05-29 Granger causal time-dependent source connectivity in the somatosensory network Gao, Lin Sommerlade, Linda Coffman, Brian Zhang, Tongsheng Stephen, Julia M. Li, Dichen Wang, Jue Grebogi, Celso Schelter, Bjoern Sci Rep Article Exploration of transient Granger causal interactions in neural sources of electrophysiological activities provides deeper insights into brain information processing mechanisms. However, the underlying neural patterns are confounded by time-dependent dynamics, non-stationarity and observational noise contamination. Here we investigate transient Granger causal interactions using source time-series of somatosensory evoked magnetoencephalographic (MEG) elicited by air puff stimulation of right index finger and recorded using 306-channel MEG from 21 healthy subjects. A new time-varying connectivity approach, combining renormalised partial directed coherence with state space modelling, is employed to estimate fast changing information flow among the sources. Source analysis confirmed that somatosensory evoked MEG was mainly generated from the contralateral primary somatosensory cortex (SI) and bilateral secondary somatosensory cortices (SII). Transient Granger causality shows a serial processing of somatosensory information, 1) from contralateral SI to contralateral SII, 2) from contralateral SI to ipsilateral SII, 3) from contralateral SII to contralateral SI, and 4) from contralateral SII to ipsilateral SII. These results are consistent with established anatomical connectivity between somatosensory regions and previous source modeling results, thereby providing empirical validation of the time-varying connectivity analysis. We argue that the suggested approach provides novel information regarding transient cortical dynamic connectivity, which previous approaches could not assess. Nature Publishing Group 2015-05-21 /pmc/articles/PMC4441010/ /pubmed/25997414 http://dx.doi.org/10.1038/srep10399 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Gao, Lin
Sommerlade, Linda
Coffman, Brian
Zhang, Tongsheng
Stephen, Julia M.
Li, Dichen
Wang, Jue
Grebogi, Celso
Schelter, Bjoern
Granger causal time-dependent source connectivity in the somatosensory network
title Granger causal time-dependent source connectivity in the somatosensory network
title_full Granger causal time-dependent source connectivity in the somatosensory network
title_fullStr Granger causal time-dependent source connectivity in the somatosensory network
title_full_unstemmed Granger causal time-dependent source connectivity in the somatosensory network
title_short Granger causal time-dependent source connectivity in the somatosensory network
title_sort granger causal time-dependent source connectivity in the somatosensory network
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4441010/
https://www.ncbi.nlm.nih.gov/pubmed/25997414
http://dx.doi.org/10.1038/srep10399
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