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Resting-State fMRI Using Passband Balanced Steady-State Free Precession

OBJECTIVE: Resting-state functional MRI (rsfMRI) has been increasingly used for understanding brain functional architecture. To date, most rsfMRI studies have exploited blood oxygenation level-dependent (BOLD) contrast using gradient-echo (GE) echo planar imaging (EPI), which can suffer from image d...

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Autores principales: Cheng, Joe S., Gao, Patrick P., Zhou, Iris Y., Chan, Russell W., Chan, Queenie, Mak, Henry K., Khong, Pek L., Wu, Ed X.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3951283/
https://www.ncbi.nlm.nih.gov/pubmed/24622278
http://dx.doi.org/10.1371/journal.pone.0091075
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author Cheng, Joe S.
Gao, Patrick P.
Zhou, Iris Y.
Chan, Russell W.
Chan, Queenie
Mak, Henry K.
Khong, Pek L.
Wu, Ed X.
author_facet Cheng, Joe S.
Gao, Patrick P.
Zhou, Iris Y.
Chan, Russell W.
Chan, Queenie
Mak, Henry K.
Khong, Pek L.
Wu, Ed X.
author_sort Cheng, Joe S.
collection PubMed
description OBJECTIVE: Resting-state functional MRI (rsfMRI) has been increasingly used for understanding brain functional architecture. To date, most rsfMRI studies have exploited blood oxygenation level-dependent (BOLD) contrast using gradient-echo (GE) echo planar imaging (EPI), which can suffer from image distortion and signal dropout due to magnetic susceptibility and inherent long echo time. In this study, the feasibility of passband balanced steady-state free precession (bSSFP) imaging for distortion-free and high-resolution rsfMRI was investigated. METHODS: rsfMRI was performed in humans at 3 T and in rats at 7 T using bSSFP with short repetition time (TR = 4/2.5 ms respectively) in comparison with conventional GE-EPI. Resting-state networks (RSNs) were detected using independent component analysis. RESULTS AND SIGNIFICANCE: RSNs derived from bSSFP images were shown to be spatially and spectrally comparable to those derived from GE-EPI images with considerable intra- and inter-subject reproducibility. High-resolution bSSFP images corresponded well to the anatomical images, with RSNs exquisitely co-localized to the gray matter. Furthermore, RSNs at areas of severe susceptibility such as human anterior prefrontal cortex and rat piriform cortex were proved accessible. These findings demonstrated for the first time that passband bSSFP approach can be a promising alternative to GE-EPI for rsfMRI. It offers distortion-free and high-resolution RSNs and is potentially suited for high field studies.
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spelling pubmed-39512832014-03-13 Resting-State fMRI Using Passband Balanced Steady-State Free Precession Cheng, Joe S. Gao, Patrick P. Zhou, Iris Y. Chan, Russell W. Chan, Queenie Mak, Henry K. Khong, Pek L. Wu, Ed X. PLoS One Research Article OBJECTIVE: Resting-state functional MRI (rsfMRI) has been increasingly used for understanding brain functional architecture. To date, most rsfMRI studies have exploited blood oxygenation level-dependent (BOLD) contrast using gradient-echo (GE) echo planar imaging (EPI), which can suffer from image distortion and signal dropout due to magnetic susceptibility and inherent long echo time. In this study, the feasibility of passband balanced steady-state free precession (bSSFP) imaging for distortion-free and high-resolution rsfMRI was investigated. METHODS: rsfMRI was performed in humans at 3 T and in rats at 7 T using bSSFP with short repetition time (TR = 4/2.5 ms respectively) in comparison with conventional GE-EPI. Resting-state networks (RSNs) were detected using independent component analysis. RESULTS AND SIGNIFICANCE: RSNs derived from bSSFP images were shown to be spatially and spectrally comparable to those derived from GE-EPI images with considerable intra- and inter-subject reproducibility. High-resolution bSSFP images corresponded well to the anatomical images, with RSNs exquisitely co-localized to the gray matter. Furthermore, RSNs at areas of severe susceptibility such as human anterior prefrontal cortex and rat piriform cortex were proved accessible. These findings demonstrated for the first time that passband bSSFP approach can be a promising alternative to GE-EPI for rsfMRI. It offers distortion-free and high-resolution RSNs and is potentially suited for high field studies. Public Library of Science 2014-03-12 /pmc/articles/PMC3951283/ /pubmed/24622278 http://dx.doi.org/10.1371/journal.pone.0091075 Text en © 2014 Cheng et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Cheng, Joe S.
Gao, Patrick P.
Zhou, Iris Y.
Chan, Russell W.
Chan, Queenie
Mak, Henry K.
Khong, Pek L.
Wu, Ed X.
Resting-State fMRI Using Passband Balanced Steady-State Free Precession
title Resting-State fMRI Using Passband Balanced Steady-State Free Precession
title_full Resting-State fMRI Using Passband Balanced Steady-State Free Precession
title_fullStr Resting-State fMRI Using Passband Balanced Steady-State Free Precession
title_full_unstemmed Resting-State fMRI Using Passband Balanced Steady-State Free Precession
title_short Resting-State fMRI Using Passband Balanced Steady-State Free Precession
title_sort resting-state fmri using passband balanced steady-state free precession
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3951283/
https://www.ncbi.nlm.nih.gov/pubmed/24622278
http://dx.doi.org/10.1371/journal.pone.0091075
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