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 publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Pages5888-5891
Number of pages4
Volume7 VOLS
Publication statusPublished - 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

Other

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

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Keywords

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

ASJC Scopus subject areas

  • Bioengineering

Cite this

Babiloni, F., Mattia, D., Basilisco, A., Astolfi, L., Cincotti, F., Ding, L., ... He, B. (2005). Improved estimation of human cortical activity and connectivity with the multimodal integration of neuroelectric and hemodynamic data. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings (Vol. 7 VOLS, pp. 5888-5891). [1615830]