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. 2020 Dec 22;14:558981. doi: 10.3389/fnins.2020.558981

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Copyright © 2020 Bhutada, Sepúlveda, Torres, Ossandón, Ruiz and Sitaram.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Processing Pipeline. Summary of processing pipeline for electrode localizations and labeling. Top: During EEG-fMRI acquisition, we extrapolate the location of each electrode by looking for protrusions across the subject’s scalp. Bottom: Through the use of labeled templates, we can classify the electrode by comparing the distance profiles for each unlabeled electrode (white dashed line) to the distance profiles of labeled electrodes of each template. The template analysis successfully votes to give the correct label of FPZ by 3 out of the 5 template votes.