Improved estimation of human cortical activity and connectivity with the multimodal integration of neuroelectric and hemodynamic data

F. Babiloni, D. Mattia, A. Basilisco, L. Astolfi, F. Cincotti, L. Ding, K. Christine, J. Sweeney, J. C. Edgar, G. A. Miller, B. He

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

Abstract

In the last decade, the possibility to noninvasively estimate cortical activity and connectivity has been highlighted by the application of the techniques known as high resolution EEG. These techniques include a subject's multi-compartment head model (scalp, skull, dura mater, cortex) constructed from individual magnetic resonance images, multi-dipole source model, and regularized linear inverse source estimates of cortical current density. More recently, it has proved as the use of information from the hemodynamic responses of the cortical areas as revealed by block-designed (strength of activated voxels) fMRI improves dramatically the estimates of cortical activity and connectivity. Here, we present some applications of such estimation in two set of high resolution EEG and fMRI data, related to the motor (finger tapping) and cognitive (Stroop) tasks. We observed that the proposed technology was able to unveil the direction of the information flow between the cortical regions of interest.

Original languageEnglish (US)
Title of host publicationProceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5888-5891
Number of pages4
ISBN (Print)0780387406, 9780780387409
DOIs
StatePublished - Jan 1 2005
Event2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China
Duration: Sep 1 2005Sep 4 2005

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume7 VOLS
ISSN (Print)0589-1019

Other

Other2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
CountryChina
CityShanghai
Period9/1/059/4/05

Keywords

  • EEG and fMRI integration
  • Finger tapping
  • Linear inverse source estimate
  • Stroop

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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  • Cite this

    Babiloni, F., Mattia, D., Basilisco, A., Astolfi, L., Cincotti, F., Ding, L., Christine, K., Sweeney, J., Edgar, J. C., Miller, G. A., & He, B. (2005). Improved estimation of human cortical activity and connectivity with the multimodal integration of neuroelectric and hemodynamic data. In Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 (pp. 5888-5891). [1615830] (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings; Vol. 7 VOLS). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/iembs.2005.1615830