Integration of high resolution EEG and functional magnetic resonance in the study of human movement-related potentials

F. Babiloni, F. Carducci, F. Cincotti, C. Del Gratta, G. M. Roberti, G. L. Romani, P. M. Rossini, C. Babiloni

Research output: Contribution to journalArticle

Abstract

Cortical sources of human movement-related potentials (i.e. unilateral finger extension) were modeled using functional magnetic resonance imaging (fMR) data as a constraint of a linear inverse source estimation from highly sampled (128 channels) EEG data. Remarkably, this estimation was performed within realistic subject's MR-constructed head models by boundary element techniques. An appropriate figure of merit served to set the optimal amount of fMR constraints. With respect to standard linear inverse source estimates, fMR-constrained ones presented increased spatial detail and provided a more reliable timing of activation in bilateral sensorimotor cortical regions of interest.

Original languageEnglish
Pages (from-to)179-182
Number of pages4
JournalMethods of Information in Medicine
Volume39
Issue number2
Publication statusPublished - 2000

Keywords

  • Cortical Source Modeling
  • Functional Magnetic Resonance Imaging (fMR)
  • High Resolution EEG
  • Linear Inverse Estimation
  • Voluntary Movement

ASJC Scopus subject areas

  • Health Informatics
  • Health Information Management
  • Nursing(all)

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