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The Sensitivity of Ear-EEG: Evaluating the Source-Sensor Relationship Using Forward Modeling.
Meiser, Arnd; Tadel, Francois; Debener, Stefan; Bleichner, Martin G.
Afiliación
  • Meiser A; Department of Psychology, University of Oldenburg, Oldenburg, Germany. arnd.meiser@uni-oldenburg.de.
  • Tadel F; Montreal Neurological Institute, McGill University, Montreal, Canada.
  • Debener S; Department of Psychology, University of Oldenburg, Oldenburg, Germany.
  • Bleichner MG; Department of Psychology, University of Oldenburg, Oldenburg, Germany.
Brain Topogr ; 33(6): 665-676, 2020 11.
Article en En | MEDLINE | ID: mdl-32833181
Ear-EEG allows to record brain activity in every-day life, for example to study natural behaviour or unhindered social interactions. Compared to conventional scalp-EEG, ear-EEG uses fewer electrodes and covers only a small part of the head. Consequently, ear-EEG will be less sensitive to some cortical sources. Here, we perform realistic electromagnetic simulations to compare cEEGrid ear-EEG with 128-channel cap-EEG. We compute the sensitivity of ear-EEG for different cortical sources, and quantify the expected signal loss of ear-EEG relative to cap-EEG. Our results show that ear-EEG is most sensitive to sources in the temporal cortex. Furthermore, we show how ear-EEG benefits from a multi-channel configuration (i.e. cEEGrid). The pipelines presented here can be adapted to any arrangement of electrodes and can therefore provide an estimate of sensitivity to cortical regions, thereby increasing the chance of successful experiments using ear-EEG.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Electroencefalografía / Cabeza Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Brain Topogr Asunto de la revista: CEREBRO Año: 2020 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Electroencefalografía / Cabeza Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Brain Topogr Asunto de la revista: CEREBRO Año: 2020 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Estados Unidos