Using a structured-light 3D scanner to improve EEG source modeling with more accurate electrode positions.

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
Read More Add to Saved list
  • Author(s): Homölle S;Homölle S; Oostenveld R; Oostenveld R; Oostenveld R
  • Source:
    Journal of neuroscience methods [J Neurosci Methods] 2019 Oct 01; Vol. 326, pp. 108378. Date of Electronic Publication: 2019 Jul 31.
  • Publication Type:
    Journal Article; Research Support, Non-U.S. Gov't
  • Language:
    English
  • Additional Information
    • Source:
      Publisher: Elsevier/North-Holland Biomedical Press Country of Publication: Netherlands NLM ID: 7905558 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-678X (Electronic) Linking ISSN: 01650270 NLM ISO Abbreviation: J Neurosci Methods Subsets: MEDLINE
    • Publication Information:
      Original Publication: Amsterdam, Elsevier/North-Holland Biomedical Press.
    • Subject Terms:
      Brain* ; Electrodes* ; Scalp*; Electroencephalography/*standards ; Image Processing, Computer-Assisted/*standards ; Magnetic Resonance Imaging/*standards; Adult ; Electroencephalography/instrumentation ; Electroencephalography/methods ; Female ; Humans ; Image Processing, Computer-Assisted/methods ; Magnetic Resonance Imaging/methods ; Male ; Young Adult
    • Abstract:
      Background: In this study, we evaluated the use of a structured-light 3D scanner for EEG electrode digitization. We tested its accuracy, robustness and evaluated its practical feasibility. Furthermore, we assessed how 3D scanning of EEG electrode positions affects the accuracy of EEG volume conduction models and source localization.
      New Method: To assess the improvement in electrode positions and source results, we compared the electrode positions both at the scalp level and by quantifying source model accuracy between the 3D scanner, generic template, and cap-specific electrode positions.
      Results and Comparison With Existing Methods: The use of the 3D scanner significantly improves the accuracy of EEG electrode positions to a median error of 9.4 mm and maximal error of 32.8 mm, relative to the custom (median error of 10.9 mm, maximal error 39.1 mm) and manufacturer's template positions (median error of 13.8 mm, maximal error 57.0 mm). The relative difference measure (RDM) of the EEG source model averaged over the brain improves from 0.18 to 0.11. The dipole localization error averaged over the brain improves from 11.4 mm to 7.0 mm.
      Conclusion: A structured-light 3D scanner improves the electrode position accuracy and thereby the EEG source model accuracy. It is more affordable than systems currently used for this, and allows for robust and fast digitization. Therefore, we consider it a cost and time-efficient way to improve EEG source reconstruction.
      (Copyright © 2019 The Authors. Published by Elsevier B.V. All rights reserved.)
    • Contributed Indexing:
      Keywords: 3D scan; Dipole source model; EEG; Electrode digitization; Source reconstruction
    • Publication Date:
      Date Created: 20190804 Date Completed: 20201019 Latest Revision: 20201019
    • Publication Date:
      20240628
    • Accession Number:
      10.1016/j.jneumeth.2019.108378
    • Accession Number:
      31376413