Consequences of EEG electrode position error on ultimate beamformer source reconstruction performance

Dalal, Sarang S.; Rampp, Stefan; Willomitzer, Florian; Ettl, Svenja

Consequences of EEG electrode position error on ultimate beamformer source reconstruction performance

Dateien

Dalal_279886.pdfGröße: 764.24 KBDownloads: 495

Datum

2014

Autor:innen

Dalal, Sarang S.

Rampp, Stefan

Willomitzer, Florian

Ettl, Svenja

Open Access-Veröffentlichung

Open Access Gold

Sammlungen

Psychologie
Zukunftskolleg

Publikationstyp

Zeitschriftenartikel

Publikationsstatus

Published

Erschienen in

Frontiers in Neuroscience. 2014, 8, 42. ISSN 1662-453X. eISSN 1662-453X. Available under: doi: 10.3389/fnins.2014.00042

Zusammenfassung

Inaccuracy of EEG electrode coordinates forms an error term in forward model generation and ultimate source reconstruction performance. This error arises from the combination of both intrinsic measurement noise of the digitization apparatus and manual coregistration error when selecting corresponding points on anatomical MRI volumes. A common assumption is that such an error would lead only to displacement of localized sources. Here, we measured electrode positions on a 3D-printed full-scale replica head, using three different techniques: a fringe projection 3D scanner, a novel “Flying Triangulation” 3D sensor, and a traditional electromagnetic digitizer. Using highly accurate fringe projection data as ground truth, the Flying Triangulation sensor had a mean error of 1.5 mm while the electromagnetic digitizer had a mean error of 6.8 mm. Then, again using the fringe projection as ground truth, individual EEG simulations were generated, with source locations across the brain space and a range of sensor noise levels. The simulated datasets were then processed using a beamformer in conjunction with the electrode coordinates registered with the Flying Triangulation and electromagnetic digitizer methods. The beamformer's output SNR was severely degraded with the digitizer-based positions but less severely with the Flying Triangulation coordinates. Therefore, the seemingly innocuous error in electrode registration may result in substantial degradation of beamformer performance, with output SNR penalties up to several decibels. In the case of low-SNR signals such as deeper brain structures or gamma band sources, this implies that sensor coregistration accuracy could make the difference between successful detection of such activity or complete failure to resolve the source.

Fachgebiet (DDC)

150 Psychologie

Schlagwörter

Electroencephalography, beamformer, head model, inverse problem, source localization, optical 3D metrology

Zitieren

ISO 690

DALAL, Sarang S., Stefan RAMPP, Florian WILLOMITZER, Svenja ETTL, 2014. Consequences of EEG electrode position error on ultimate beamformer source reconstruction performance. In: Frontiers in Neuroscience. 2014, 8, 42. ISSN 1662-453X. eISSN 1662-453X. Available under: doi: 10.3389/fnins.2014.00042

BibTex

@article{Dalal2014Conse-27988,
  year={2014},
  doi={10.3389/fnins.2014.00042},
  title={Consequences of EEG electrode position error on ultimate beamformer source reconstruction performance},
  volume={8},
  issn={1662-453X},
  journal={Frontiers in Neuroscience},
  author={Dalal, Sarang S. and Rampp, Stefan and Willomitzer, Florian and Ettl, Svenja},
  note={Article Number: 42}
}

RDF

<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/27988">
    <dc:contributor>Ettl, Svenja</dc:contributor>
    <dcterms:bibliographicCitation>Frontiers in neuroscience ; 8 (2014). - 42</dcterms:bibliographicCitation>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:contributor>Rampp, Stefan</dc:contributor>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/27988/2/Dalal_279886.pdf"/>
    <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/27988"/>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/43"/>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/27988/2/Dalal_279886.pdf"/>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/52"/>
    <dcterms:title>Consequences of EEG electrode position error on ultimate beamformer source reconstruction performance</dcterms:title>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2014-06-02T12:25:26Z</dcterms:available>
    <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by/3.0/"/>
    <dcterms:abstract xml:lang="eng">Inaccuracy of EEG electrode coordinates forms an error term in forward model generation and ultimate source reconstruction performance. This error arises from the combination of both intrinsic measurement noise of the digitization apparatus and manual coregistration error when selecting corresponding points on anatomical MRI volumes. A common assumption is that such an error would lead only to displacement of localized sources. Here, we measured electrode positions on a 3D-printed full-scale replica head, using three different techniques: a fringe projection 3D scanner, a novel “Flying Triangulation” 3D sensor, and a traditional electromagnetic digitizer. Using highly accurate fringe projection data as ground truth, the Flying Triangulation sensor had a mean error of 1.5 mm while the electromagnetic digitizer had a mean error of 6.8 mm. Then, again using the fringe projection as ground truth, individual EEG simulations were generated, with source locations across the brain space and a range of sensor noise levels. The simulated datasets were then processed using a beamformer in conjunction with the electrode coordinates registered with the Flying Triangulation and electromagnetic digitizer methods. The beamformer's output SNR was severely degraded with the digitizer-based positions but less severely with the Flying Triangulation coordinates. Therefore, the seemingly innocuous error in electrode registration may result in substantial degradation of beamformer performance, with output SNR penalties up to several decibels. In the case of low-SNR signals such as deeper brain structures or gamma band sources, this implies that sensor coregistration accuracy could make the difference between successful detection of such activity or complete failure to resolve the source.</dcterms:abstract>
    <dc:creator>Willomitzer, Florian</dc:creator>
    <dc:creator>Ettl, Svenja</dc:creator>
    <dc:contributor>Willomitzer, Florian</dc:contributor>
    <dc:contributor>Dalal, Sarang S.</dc:contributor>
    <dc:language>eng</dc:language>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2014-06-02T12:25:26Z</dc:date>
    <dc:creator>Dalal, Sarang S.</dc:creator>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/43"/>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/52"/>
    <dc:creator>Rampp, Stefan</dc:creator>
    <dcterms:issued>2014</dcterms:issued>
    <dc:rights>Attribution 3.0 Unported</dc:rights>
  </rdf:Description>
</rdf:RDF>

Universitätsbibliographie

Ja