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Article: Resting-state fMRI using passband balanced steady-state free precession

TitleResting-state fMRI using passband balanced steady-state free precession
Authors
Issue Date2014
PublisherPublic Library of Science. The Journal's web site is located at http://www.plosone.org/home.action
Citation
PLoS One, 2014, v. 9 n. 3, article no. e91075 How to Cite?
AbstractOBJECTIVE: 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.
Persistent Identifierhttp://hdl.handle.net/10722/199053
ISSN
2015 Impact Factor: 3.057
2015 SCImago Journal Rankings: 1.395
PubMed Central ID
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorCheng, JSen_US
dc.contributor.authorGao, PPen_US
dc.contributor.authorZhou, IYen_US
dc.contributor.authorChan, RWen_US
dc.contributor.authorChan, Qen_US
dc.contributor.authorMak, HKFen_US
dc.contributor.authorKhong, PLen_US
dc.contributor.authorWu, EXen_US
dc.date.accessioned2014-07-22T01:01:41Z-
dc.date.available2014-07-22T01:01:41Z-
dc.date.issued2014en_US
dc.identifier.citationPLoS One, 2014, v. 9 n. 3, article no. e91075en_US
dc.identifier.issn1932-6203-
dc.identifier.urihttp://hdl.handle.net/10722/199053-
dc.description.abstractOBJECTIVE: 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.-
dc.languageengen_US
dc.publisherPublic Library of Science. The Journal's web site is located at http://www.plosone.org/home.action-
dc.relation.ispartofPLoS Oneen_US
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleResting-state fMRI using passband balanced steady-state free precessionen_US
dc.typeArticleen_US
dc.identifier.emailZhou, IY: iriszhou@eee.hku.hken_US
dc.identifier.emailChan, RW: chanrw@hku.hken_US
dc.identifier.emailMak, HKF: makkf@hkucc.hku.hken_US
dc.identifier.emailKhong, PL: plkhong@hku.hken_US
dc.identifier.emailWu, EX: ewu1@hkucc.hku.hk-
dc.identifier.authorityZhou, IY=rp01739en_US
dc.identifier.authorityMak, HKF=rp00533en_US
dc.identifier.authorityKhong, PL=rp00467en_US
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1371/journal.pone.0091075en_US
dc.identifier.pmid24622278-
dc.identifier.pmcidPMC3951283-
dc.identifier.hkuros229611en_US
dc.identifier.hkuros240593-
dc.identifier.volume9en_US
dc.identifier.issue3en_US
dc.identifier.isiWOS:000332845300048-
dc.publisher.placeUnited States-

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