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A Comparison of Single- and Multi-Echo Processing of Functional MRI Data During Overt Autobiographical Recall

Recent years have seen an increase in the use of multi-echo fMRI designs by cognitive neuroscientists. Acquiring multiple echoes allows one to increase contrast-to-noise; reduce signal dropout and thermal noise; and identify nuisance signal components in BOLD data. At the same time, multi-echo acqui...

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Autores principales: Gilmore, Adrian W., Agron, Anna M., González-Araya, Estefanía I., Gotts, Stephen J., Martin, Alex
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9081814/
https://www.ncbi.nlm.nih.gov/pubmed/35546886
http://dx.doi.org/10.3389/fnins.2022.854387
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author Gilmore, Adrian W.
Agron, Anna M.
González-Araya, Estefanía I.
Gotts, Stephen J.
Martin, Alex
author_facet Gilmore, Adrian W.
Agron, Anna M.
González-Araya, Estefanía I.
Gotts, Stephen J.
Martin, Alex
author_sort Gilmore, Adrian W.
collection PubMed
description Recent years have seen an increase in the use of multi-echo fMRI designs by cognitive neuroscientists. Acquiring multiple echoes allows one to increase contrast-to-noise; reduce signal dropout and thermal noise; and identify nuisance signal components in BOLD data. At the same time, multi-echo acquisitions increase data processing complexity and may incur a cost to the temporal and spatial resolution of the acquired data. Here, we re-examine a multi-echo dataset previously analyzed using multi-echo independent components analysis (ME-ICA) and focused on hippocampal activity during the overtly spoken recall of recent and remote autobiographical memories. The goal of the present series of analyses was to determine if ME-ICA’s theoretical denoising benefits might lead to a practical difference in the overall conclusions reached. Compared to single-echo (SE) data, ME-ICA led to qualitatively different findings regarding hippocampal contributions to autobiographical recall: whereas the SE analysis largely failed to reveal hippocampal activity relative to an active baseline, ME-ICA results supported predictions of the Standard Model of Consolidation and a time limited hippocampal involvement. These data provide a practical example of the benefits multi-echo denoising in a naturalistic memory paradigm and demonstrate how they can be used to address long-standing theoretical questions.
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spelling pubmed-90818142022-05-10 A Comparison of Single- and Multi-Echo Processing of Functional MRI Data During Overt Autobiographical Recall Gilmore, Adrian W. Agron, Anna M. González-Araya, Estefanía I. Gotts, Stephen J. Martin, Alex Front Neurosci Neuroscience Recent years have seen an increase in the use of multi-echo fMRI designs by cognitive neuroscientists. Acquiring multiple echoes allows one to increase contrast-to-noise; reduce signal dropout and thermal noise; and identify nuisance signal components in BOLD data. At the same time, multi-echo acquisitions increase data processing complexity and may incur a cost to the temporal and spatial resolution of the acquired data. Here, we re-examine a multi-echo dataset previously analyzed using multi-echo independent components analysis (ME-ICA) and focused on hippocampal activity during the overtly spoken recall of recent and remote autobiographical memories. The goal of the present series of analyses was to determine if ME-ICA’s theoretical denoising benefits might lead to a practical difference in the overall conclusions reached. Compared to single-echo (SE) data, ME-ICA led to qualitatively different findings regarding hippocampal contributions to autobiographical recall: whereas the SE analysis largely failed to reveal hippocampal activity relative to an active baseline, ME-ICA results supported predictions of the Standard Model of Consolidation and a time limited hippocampal involvement. These data provide a practical example of the benefits multi-echo denoising in a naturalistic memory paradigm and demonstrate how they can be used to address long-standing theoretical questions. Frontiers Media S.A. 2022-04-25 /pmc/articles/PMC9081814/ /pubmed/35546886 http://dx.doi.org/10.3389/fnins.2022.854387 Text en Copyright © 2022 Gilmore, Agron, González-Araya, Gotts and Martin. https://creativecommons.org/licenses/by/4.0/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.
spellingShingle Neuroscience
Gilmore, Adrian W.
Agron, Anna M.
González-Araya, Estefanía I.
Gotts, Stephen J.
Martin, Alex
A Comparison of Single- and Multi-Echo Processing of Functional MRI Data During Overt Autobiographical Recall
title A Comparison of Single- and Multi-Echo Processing of Functional MRI Data During Overt Autobiographical Recall
title_full A Comparison of Single- and Multi-Echo Processing of Functional MRI Data During Overt Autobiographical Recall
title_fullStr A Comparison of Single- and Multi-Echo Processing of Functional MRI Data During Overt Autobiographical Recall
title_full_unstemmed A Comparison of Single- and Multi-Echo Processing of Functional MRI Data During Overt Autobiographical Recall
title_short A Comparison of Single- and Multi-Echo Processing of Functional MRI Data During Overt Autobiographical Recall
title_sort comparison of single- and multi-echo processing of functional mri data during overt autobiographical recall
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9081814/
https://www.ncbi.nlm.nih.gov/pubmed/35546886
http://dx.doi.org/10.3389/fnins.2022.854387
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