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Measurement of ultra‐fast signal progression related to face processing by 7T fMRI

Given that the brain is a dynamic system, the temporal characteristics of brain function are important. Previous functional magnetic resonance imaging (fMRI) studies have attempted to overcome the limitations of temporal resolution to investigate dynamic states of brain activity. However, finding an...

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Detalles Bibliográficos
Autores principales: Choi, Uk‐Su, Sung, Yul‐Wan, Ogawa, Seiji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268038/
https://www.ncbi.nlm.nih.gov/pubmed/31925902
http://dx.doi.org/10.1002/hbm.24907
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author Choi, Uk‐Su
Sung, Yul‐Wan
Ogawa, Seiji
author_facet Choi, Uk‐Su
Sung, Yul‐Wan
Ogawa, Seiji
author_sort Choi, Uk‐Su
collection PubMed
description Given that the brain is a dynamic system, the temporal characteristics of brain function are important. Previous functional magnetic resonance imaging (fMRI) studies have attempted to overcome the limitations of temporal resolution to investigate dynamic states of brain activity. However, finding an fMRI method with sufficient temporal resolution to keep up with the progress of neuronal signals in the brain is challenging. This study aimed to detect between‐hemisphere signal progression, occurring on a timescale of tens of milliseconds, in the ventral brain regions involved in face processing. To this end, we devised an inter‐stimulus interval (ISI) stimulation scheme and used a 7T MRI system to obtain fMRI signals with a high signal‐to‐noise ratio. We conducted two experiments: one to measure signal suppression depending on the ISI and another to measure the relationship between the amount of suppression and the ISI. These two experiments enabled us to measure the signal transfer time from a brain region in the ventral visual stream to its counterpart in the opposite hemisphere through the corpus callosum. These findings demonstrate the feasibility of using fMRI to measure ultra‐fast signals (tens of milliseconds) and could facilitate the elucidation of further aspects of dynamic brain function.
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spelling pubmed-72680382020-06-12 Measurement of ultra‐fast signal progression related to face processing by 7T fMRI Choi, Uk‐Su Sung, Yul‐Wan Ogawa, Seiji Hum Brain Mapp Research Articles Given that the brain is a dynamic system, the temporal characteristics of brain function are important. Previous functional magnetic resonance imaging (fMRI) studies have attempted to overcome the limitations of temporal resolution to investigate dynamic states of brain activity. However, finding an fMRI method with sufficient temporal resolution to keep up with the progress of neuronal signals in the brain is challenging. This study aimed to detect between‐hemisphere signal progression, occurring on a timescale of tens of milliseconds, in the ventral brain regions involved in face processing. To this end, we devised an inter‐stimulus interval (ISI) stimulation scheme and used a 7T MRI system to obtain fMRI signals with a high signal‐to‐noise ratio. We conducted two experiments: one to measure signal suppression depending on the ISI and another to measure the relationship between the amount of suppression and the ISI. These two experiments enabled us to measure the signal transfer time from a brain region in the ventral visual stream to its counterpart in the opposite hemisphere through the corpus callosum. These findings demonstrate the feasibility of using fMRI to measure ultra‐fast signals (tens of milliseconds) and could facilitate the elucidation of further aspects of dynamic brain function. John Wiley & Sons, Inc. 2020-01-10 /pmc/articles/PMC7268038/ /pubmed/31925902 http://dx.doi.org/10.1002/hbm.24907 Text en © 2020 The Authors. Human Brain Mapping published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Choi, Uk‐Su
Sung, Yul‐Wan
Ogawa, Seiji
Measurement of ultra‐fast signal progression related to face processing by 7T fMRI
title Measurement of ultra‐fast signal progression related to face processing by 7T fMRI
title_full Measurement of ultra‐fast signal progression related to face processing by 7T fMRI
title_fullStr Measurement of ultra‐fast signal progression related to face processing by 7T fMRI
title_full_unstemmed Measurement of ultra‐fast signal progression related to face processing by 7T fMRI
title_short Measurement of ultra‐fast signal progression related to face processing by 7T fMRI
title_sort measurement of ultra‐fast signal progression related to face processing by 7t fmri
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268038/
https://www.ncbi.nlm.nih.gov/pubmed/31925902
http://dx.doi.org/10.1002/hbm.24907
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