Semi-Automated and Direct Localization and Labeling of EEG Electrodes Using MR Structural Images for Simultaneous fMRI-EEG

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dc.contributor.authorBhutada, Abhishek S.
dc.contributor.authorSepulveda, Pradyumna
dc.contributor.authorTorres, Rafael
dc.contributor.authorOssandon, Tomas
dc.contributor.authorRuiz, Sergio
dc.contributor.authorSitaram, Ranganatha
dc.date.accessioned2025-01-23T19:46:15Z
dc.date.available2025-01-23T19:46:15Z
dc.date.issued2020
dc.description.abstractElectroencephalography (EEG) source reconstruction estimates spatial information from the brain's electrical activity acquired using EEG. This method requires accurate identification of the EEG electrodes in a three-dimensional (3D) space and involves spatial localization and labeling of EEG electrodes. Here, we propose a new approach to tackle this two-step problem based on the simultaneous acquisition of EEG and magnetic resonance imaging (MRI). For the step of spatial localization of electrodes, we extract the electrode coordinates from the curvature of the protrusions formed in the high-resolution T1-weighted brain scans. In the next step, we assign labels to each electrode based on the distinguishing feature of the electrode's distance profile in relation to other electrodes. We then compare the subject's electrode data with template-based models of prelabeled distance profiles of correctly labeled subjects. Based on this approach, we could localize EEG electrodes in 26 head models with over 90% accuracy in the 3D localization of electrodes. Next, we performed electrode labeling of the subjects' data with progressive improvements in accuracy: with similar to 58% accuracy based on a single EEG-template, with similar to 71% accuracy based on 3 EEG-templates, and with similar to 76% accuracy using 5 EEG-templates. The proposed semi-automated method provides a simple alternative for the rapid localization and labeling of electrodes without the requirement of any additional equipment than what is already used in an EEG-fMRI setup.
dc.fuente.origenWOS
dc.identifier.doi10.3389/fnins.2020.558981
dc.identifier.eissn1662-453X
dc.identifier.urihttps://doi.org/10.3389/fnins.2020.558981
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/100283
dc.identifier.wosidWOS:000604607000001
dc.language.isoen
dc.revistaFrontiers in neuroscience
dc.rightsacceso restringido
dc.subjectelectroencephalography
dc.subjectmagnetic resonance imaging
dc.subjectEEG
dc.subjectfMRI
dc.subjectsource localization
dc.subjectelectrode positioning
dc.subjectelectrode labeling
dc.subject.ods03 Good Health and Well-being
dc.subject.odspa03 Salud y bienestar
dc.titleSemi-Automated and Direct Localization and Labeling of EEG Electrodes Using MR Structural Images for Simultaneous fMRI-EEG
dc.typeartículo
dc.volumen14
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
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