AUTHOR=Fleury Mathis , Barillot Christian , Mano Marsel , Bannier Elise , Maurel Pierre TITLE=Automated Electrodes Detection During Simultaneous EEG/fMRI JOURNAL=Frontiers in ICT VOLUME=5 YEAR=2019 URL=https://www.frontiersin.org/journals/ict/articles/10.3389/fict.2018.00031 DOI=10.3389/fict.2018.00031 ISSN=2297-198X ABSTRACT=

The coupling of Electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) enables the measure of brain activity at high spatial and temporal resolution. The localization of EEG sources depends on several parameters including the knowledge of the position of the electrodes on the scalp. An accurate knowledge about this information is important for source reconstruction. Currently, when acquiring EEG and fMRI together, the position of the electrodes is generally estimated according to fiducial points by using a template. In the context of simultaneous EEG/fMRI acquisition, a natural idea is to use magnetic resonance (MR) images to localize EEG electrodes. However, most MR compatible electrodes are built to be almost invisible on MR Images. Taking advantage of a recently proposed Ultra short Echo Time (UTE) sequence, we introduce a fully automatic method to detect and label those electrodes in MR images. Our method was tested on 8 subjects wearing a 64-channel EEG cap. This automated method showed an average detection accuracy of 94% and the average position error was 3.1 mm. These results suggest that the proposed method has potential for determining the position of the electrodes during simultaneous EEG/fMRI acquisition with a very light cost procedure.