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Scorepochs: A Computer-Aided Scoring Tool for Resting-State M/EEG Epochs
M/EEG resting-state analysis often requires the definition of the epoch length and the criteria in order to select which epochs to include in the subsequent steps. However, the effects of epoch selection remain scarcely investigated and the procedure used to (visually) inspect, label, and remove bad...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9031998/ https://www.ncbi.nlm.nih.gov/pubmed/35458838 http://dx.doi.org/10.3390/s22082853 |
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author | Fraschini, Matteo La Cava, Simone Maurizio Rodriguez, Giuseppe Vitale, Andrea Demuru, Matteo |
author_facet | Fraschini, Matteo La Cava, Simone Maurizio Rodriguez, Giuseppe Vitale, Andrea Demuru, Matteo |
author_sort | Fraschini, Matteo |
collection | PubMed |
description | M/EEG resting-state analysis often requires the definition of the epoch length and the criteria in order to select which epochs to include in the subsequent steps. However, the effects of epoch selection remain scarcely investigated and the procedure used to (visually) inspect, label, and remove bad epochs is often not documented, thereby hindering the reproducibility of the reported results. In this study, we present Scorepochs, a simple and freely available tool for the automatic scoring of resting-state M/EEG epochs that aims to provide an objective method to aid M/EEG experts during the epoch selection procedure. We tested our approach on a freely available EEG dataset containing recordings from 109 subjects using the BCI2000 64 channel system. |
format | Online Article Text |
id | pubmed-9031998 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-90319982022-04-23 Scorepochs: A Computer-Aided Scoring Tool for Resting-State M/EEG Epochs Fraschini, Matteo La Cava, Simone Maurizio Rodriguez, Giuseppe Vitale, Andrea Demuru, Matteo Sensors (Basel) Article M/EEG resting-state analysis often requires the definition of the epoch length and the criteria in order to select which epochs to include in the subsequent steps. However, the effects of epoch selection remain scarcely investigated and the procedure used to (visually) inspect, label, and remove bad epochs is often not documented, thereby hindering the reproducibility of the reported results. In this study, we present Scorepochs, a simple and freely available tool for the automatic scoring of resting-state M/EEG epochs that aims to provide an objective method to aid M/EEG experts during the epoch selection procedure. We tested our approach on a freely available EEG dataset containing recordings from 109 subjects using the BCI2000 64 channel system. MDPI 2022-04-08 /pmc/articles/PMC9031998/ /pubmed/35458838 http://dx.doi.org/10.3390/s22082853 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Fraschini, Matteo La Cava, Simone Maurizio Rodriguez, Giuseppe Vitale, Andrea Demuru, Matteo Scorepochs: A Computer-Aided Scoring Tool for Resting-State M/EEG Epochs |
title | Scorepochs: A Computer-Aided Scoring Tool for Resting-State M/EEG Epochs |
title_full | Scorepochs: A Computer-Aided Scoring Tool for Resting-State M/EEG Epochs |
title_fullStr | Scorepochs: A Computer-Aided Scoring Tool for Resting-State M/EEG Epochs |
title_full_unstemmed | Scorepochs: A Computer-Aided Scoring Tool for Resting-State M/EEG Epochs |
title_short | Scorepochs: A Computer-Aided Scoring Tool for Resting-State M/EEG Epochs |
title_sort | scorepochs: a computer-aided scoring tool for resting-state m/eeg epochs |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9031998/ https://www.ncbi.nlm.nih.gov/pubmed/35458838 http://dx.doi.org/10.3390/s22082853 |
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