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“Eyes Open – Eyes Closed” EEG/fMRI data set including dedicated “Carbon Wire Loop” motion detection channels

This data set contains electroencephalography (EEG) data as well as simultaneous EEG with functional magnetic resonance imaging (EEG/fMRI) data. During EEG/fMRI, the EEG cap was outfitted with a hardware-based add-on consisting of carbon-wire loops (CWL). These yielded six extra׳CWL׳ signals related...

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Autores principales: van der Meer, Johan, Pampel, André, van Someren, Eus, Ramautar, Jennifer, van der Werf, Ysbrand, Gomez-Herrero, German, Lepsien, Jöran, Hellrung, Lydia, Hinrichs, Hermann, Möller, Harald, Walter, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5063756/
https://www.ncbi.nlm.nih.gov/pubmed/27761491
http://dx.doi.org/10.1016/j.dib.2016.03.001
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author van der Meer, Johan
Pampel, André
van Someren, Eus
Ramautar, Jennifer
van der Werf, Ysbrand
Gomez-Herrero, German
Lepsien, Jöran
Hellrung, Lydia
Hinrichs, Hermann
Möller, Harald
Walter, Martin
author_facet van der Meer, Johan
Pampel, André
van Someren, Eus
Ramautar, Jennifer
van der Werf, Ysbrand
Gomez-Herrero, German
Lepsien, Jöran
Hellrung, Lydia
Hinrichs, Hermann
Möller, Harald
Walter, Martin
author_sort van der Meer, Johan
collection PubMed
description This data set contains electroencephalography (EEG) data as well as simultaneous EEG with functional magnetic resonance imaging (EEG/fMRI) data. During EEG/fMRI, the EEG cap was outfitted with a hardware-based add-on consisting of carbon-wire loops (CWL). These yielded six extra׳CWL׳ signals related to Faraday induction of these loops in the main magnetic field “Measurement and reduction of motion and ballistocardiogram artefacts from simultaneous EEG and fMRI recordings” (Masterton et al., 2007) [1]. In this data set, the CWL data make it possible to do a direct regression approach to deal with the BCG and specifically He artifact. The CWL-EEG/fMRI data in this paper has been recorded on two MRI scanners with different Helium pump systems (4 subjects on a 3 T TIM Trio and 4 subjects on a 3T VERIO). Separate EEG/fMRI data sets have been recorded for the helium pump ON as well as the helium pump OFF conditions. The EEG-only data (same subjects) has been recorded for a motion artifact-free reference EEG signal outside of the scanner. This paper also links to an EEGlab “EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis” (Delorme and Makeig, 2004) [2] plugin to perform a CWL regression approach to deal with the He pump artifact, as published in the main paper “Carbon-wire loop based artifact correction outperforms post-processing EEG/fMRI corrections-A validation of a real-time simultaneous EEG/fMRI correction method” (van der Meer et al., 2016) [3].
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spelling pubmed-50637562016-10-19 “Eyes Open – Eyes Closed” EEG/fMRI data set including dedicated “Carbon Wire Loop” motion detection channels van der Meer, Johan Pampel, André van Someren, Eus Ramautar, Jennifer van der Werf, Ysbrand Gomez-Herrero, German Lepsien, Jöran Hellrung, Lydia Hinrichs, Hermann Möller, Harald Walter, Martin Data Brief Data Article This data set contains electroencephalography (EEG) data as well as simultaneous EEG with functional magnetic resonance imaging (EEG/fMRI) data. During EEG/fMRI, the EEG cap was outfitted with a hardware-based add-on consisting of carbon-wire loops (CWL). These yielded six extra׳CWL׳ signals related to Faraday induction of these loops in the main magnetic field “Measurement and reduction of motion and ballistocardiogram artefacts from simultaneous EEG and fMRI recordings” (Masterton et al., 2007) [1]. In this data set, the CWL data make it possible to do a direct regression approach to deal with the BCG and specifically He artifact. The CWL-EEG/fMRI data in this paper has been recorded on two MRI scanners with different Helium pump systems (4 subjects on a 3 T TIM Trio and 4 subjects on a 3T VERIO). Separate EEG/fMRI data sets have been recorded for the helium pump ON as well as the helium pump OFF conditions. The EEG-only data (same subjects) has been recorded for a motion artifact-free reference EEG signal outside of the scanner. This paper also links to an EEGlab “EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis” (Delorme and Makeig, 2004) [2] plugin to perform a CWL regression approach to deal with the He pump artifact, as published in the main paper “Carbon-wire loop based artifact correction outperforms post-processing EEG/fMRI corrections-A validation of a real-time simultaneous EEG/fMRI correction method” (van der Meer et al., 2016) [3]. Elsevier 2016-03-09 /pmc/articles/PMC5063756/ /pubmed/27761491 http://dx.doi.org/10.1016/j.dib.2016.03.001 Text en © 2016 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
van der Meer, Johan
Pampel, André
van Someren, Eus
Ramautar, Jennifer
van der Werf, Ysbrand
Gomez-Herrero, German
Lepsien, Jöran
Hellrung, Lydia
Hinrichs, Hermann
Möller, Harald
Walter, Martin
“Eyes Open – Eyes Closed” EEG/fMRI data set including dedicated “Carbon Wire Loop” motion detection channels
title “Eyes Open – Eyes Closed” EEG/fMRI data set including dedicated “Carbon Wire Loop” motion detection channels
title_full “Eyes Open – Eyes Closed” EEG/fMRI data set including dedicated “Carbon Wire Loop” motion detection channels
title_fullStr “Eyes Open – Eyes Closed” EEG/fMRI data set including dedicated “Carbon Wire Loop” motion detection channels
title_full_unstemmed “Eyes Open – Eyes Closed” EEG/fMRI data set including dedicated “Carbon Wire Loop” motion detection channels
title_short “Eyes Open – Eyes Closed” EEG/fMRI data set including dedicated “Carbon Wire Loop” motion detection channels
title_sort “eyes open – eyes closed” eeg/fmri data set including dedicated “carbon wire loop” motion detection channels
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5063756/
https://www.ncbi.nlm.nih.gov/pubmed/27761491
http://dx.doi.org/10.1016/j.dib.2016.03.001
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