Granger causal time-dependent source connectivity in the somatosensory network

Lin Gao (Corresponding Author), Linda Sommerlade, Brian Coffman, Tongsheng Zhang, Julia M. Stephen, Dichen Li, Jue Wang, Celso Grebogi, Bjoern Olaf Schelter

Research output: Contribution to journalArticle

15 Citations (Scopus)
6 Downloads (Pure)

Abstract

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.
Original languageEnglish
Article number10399
JournalScientific Reports
Volume5
DOIs
Publication statusPublished - 21 May 2015

Fingerprint

connectivity
information processing
modeling
brain
time series
air
analysis

Keywords

  • biomedical engineering
  • network models

Cite this

Granger causal time-dependent source connectivity in the somatosensory network. / Gao, Lin (Corresponding Author); Sommerlade, Linda; Coffman, Brian; Zhang, Tongsheng ; Stephen, Julia M. ; Li, Dichen; Wang, Jue; Grebogi, Celso; Schelter, Bjoern Olaf.

In: Scientific Reports, Vol. 5, 10399, 21.05.2015.

Research output: Contribution to journalArticle

Gao L, Sommerlade L, Coffman B, Zhang T, Stephen JM, Li D et al. Granger causal time-dependent source connectivity in the somatosensory network. Scientific Reports. 2015 May 21;5. 10399. https://doi.org/10.1038/srep10399
Gao, Lin ; Sommerlade, Linda ; Coffman, Brian ; Zhang, Tongsheng ; Stephen, Julia M. ; Li, Dichen ; Wang, Jue ; Grebogi, Celso ; Schelter, Bjoern Olaf. / Granger causal time-dependent source connectivity in the somatosensory network. In: Scientific Reports. 2015 ; Vol. 5.
@article{ff18f1e3d6864649a9f294339c392cac,
title = "Granger causal time-dependent source connectivity in the somatosensory network",
abstract = "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.",
keywords = "biomedical engineering, network models",
author = "Lin Gao and Linda Sommerlade and Brian Coffman and Tongsheng Zhang and Stephen, {Julia M.} and Dichen Li and Jue Wang and Celso Grebogi and Schelter, {Bjoern Olaf}",
year = "2015",
month = "5",
day = "21",
doi = "10.1038/srep10399",
language = "English",
volume = "5",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "Nature Publishing Group",

}

TY - JOUR

T1 - Granger causal time-dependent source connectivity in the somatosensory network

AU - Gao, Lin

AU - Sommerlade, Linda

AU - Coffman, Brian

AU - Zhang, Tongsheng

AU - Stephen, Julia M.

AU - Li, Dichen

AU - Wang, Jue

AU - Grebogi, Celso

AU - Schelter, Bjoern Olaf

PY - 2015/5/21

Y1 - 2015/5/21

N2 - 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.

AB - 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.

KW - biomedical engineering

KW - network models

U2 - 10.1038/srep10399

DO - 10.1038/srep10399

M3 - Article

VL - 5

JO - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

M1 - 10399

ER -