Multimodal integration of EEG and functional magnetic resonance recordings

Babiloni Fabio, Babiloni Claudio, Carducci Filippo, Rossini Paolo Maria, Basilisco Alessandra, Astolfi Laura, Cincotti Febo

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

Abstract

In this paper, advanced methods for the modeling of human cortical activity from combined high-resolution electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) data are reviewed. These methods include a subject's multicompartment head model (scalp, skull, dura mater, cortex) constructed from magnetic resonance images, multidipole source model, and regularized linear inverse source estimates. Determination of the priors in the resolution of the linear inverse problem was performed with the use of information from the hemodynamic responses of the cortical areas as revealed by block-designed fMRI.

Original languageEnglish
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Pages5311-5314
Number of pages4
Volume26 VII
Publication statusPublished - 2004
EventConference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 - San Francisco, CA, United States
Duration: Sep 1 2004Sep 5 2004

Other

OtherConference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004
CountryUnited States
CitySan Francisco, CA
Period9/1/049/5/04

Keywords

  • EEG and fMRI integration
  • Linear inverse source estimate

ASJC Scopus subject areas

  • Bioengineering

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