High resolution EEG: 124-channel recording, spatial deblurring and MRI integration methods

Alan Gevins, Jian Le, Nancy K. Martin, Paul Brickett, John Desmond, Bryan Reutter

Research output: Contribution to journalArticlepeer-review

219 Scopus citations


This paper describes a method for increasing the spatial detail of the EEG and for integrating physiological data with anatomical models based on magnetic resonance images (MRIs). This method includes techniques to efficiently record EEG data from up to 124 channels, to measure 3-D electrode positions for alignment with MRI-derived head models, and to estimate potentials near the outer convexity of the cortex using a spatial deblurring technique which uses a realistic model of the structure of the head and which makes no assumptions about the number or type of generator sources. The validity of this approach has been initially tested by comparing estimated cortical potentials with those measured with subdural grid recordings from two neurosurgical patients. The method is illustrated with somatosensory steady-state evoked potential data recorded from 5 healthy subjects. Results suggest that deblurred 124-channel topographic maps, registered with a subject's MRI and rendered in 3 dimensions, provide better spatial detail than has heretofore been obtained with scalp EEG recordings. The results also suggest that the potential for EEG as a functional neuroimaging modality has yet to be fully realized.

Original languageEnglish (US)
Pages (from-to)337-358
Number of pages22
JournalElectroencephalography and Clinical Neurophysiology
Issue number5
StatePublished - May 1994
Externally publishedYes


  • 124-Channel EEG
  • Finite element method
  • Functional localization
  • Magnetic resonance image
  • Spatial deblurring
  • Steady-state evoked potentials

ASJC Scopus subject areas

  • Neuroscience(all)
  • Clinical Neurology


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