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Denoising physiological data collected during multi-band, multi-echo EPI sequences

View ORCID ProfileKatherine L. Bottenhorn, View ORCID ProfileTaylor Salo, View ORCID ProfileMichael C. Riedel, View ORCID ProfileMatthew T. Sutherland, View ORCID ProfileJennifer L. Robinson, View ORCID ProfileErica D. Musser, View ORCID ProfileAngela R. Laird
doi: https://doi.org/10.1101/2021.04.01.437293
Katherine L. Bottenhorn
1Department of Psychology, Florida International University, Miami, FL, USA
2Center for Imaging Science Florida International University, Miami, FL, USA
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  • ORCID record for Katherine L. Bottenhorn
Taylor Salo
1Department of Psychology, Florida International University, Miami, FL, USA
2Center for Imaging Science Florida International University, Miami, FL, USA
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Michael C. Riedel
2Center for Imaging Science Florida International University, Miami, FL, USA
3Department of Physics, Florida International University, Miami, FL, USA
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Matthew T. Sutherland
1Department of Psychology, Florida International University, Miami, FL, USA
2Center for Imaging Science Florida International University, Miami, FL, USA
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Jennifer L. Robinson
4Department of Psychology, Auburn University, Auburn, AL, USA
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Erica D. Musser
1Department of Psychology, Florida International University, Miami, FL, USA
2Center for Imaging Science Florida International University, Miami, FL, USA
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Angela R. Laird
2Center for Imaging Science Florida International University, Miami, FL, USA
3Department of Physics, Florida International University, Miami, FL, USA
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  • For correspondence: alaird@fiu.edu
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Abstract

Collecting physiological data during fMRI experiments can improve fMRI data cleaning and contribute to our understanding of psychophysiological processes; however, these recordings are frequently fraught with artifacts from the MRI pulse sequence. Here, we look at manufacturer recommendations for filtering such artifacts from physiological data collected during single-band, single-echo fMRI sequences and extend these recommendations to address artifacts associated with multiband, multi-echo fMRI sequences. While the magnitude and frequencies of artifacts differ with these aspects of pulse sequences, their effects can be mitigated via application of digital filters focused on the slice collection and repetition time.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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Posted April 03, 2021.
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Denoising physiological data collected during multi-band, multi-echo EPI sequences
Katherine L. Bottenhorn, Taylor Salo, Michael C. Riedel, Matthew T. Sutherland, Jennifer L. Robinson, Erica D. Musser, Angela R. Laird
bioRxiv 2021.04.01.437293; doi: https://doi.org/10.1101/2021.04.01.437293
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Denoising physiological data collected during multi-band, multi-echo EPI sequences
Katherine L. Bottenhorn, Taylor Salo, Michael C. Riedel, Matthew T. Sutherland, Jennifer L. Robinson, Erica D. Musser, Angela R. Laird
bioRxiv 2021.04.01.437293; doi: https://doi.org/10.1101/2021.04.01.437293

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