AI Article Synopsis
- Objective: This study explores the potential of using passband balanced steady-state free precession (bSSFP) imaging for resting-state functional MRI (rsfMRI) instead of conventional gradient-echo echo planar imaging (GE-EPI), which can have issues like image distortion and signal dropout.
- Methods: rsfMRI was performed on humans and rats using bSSFP imaging at high field strengths (3 T for humans and 7 T for rats), observing resting-state networks (RSNs) with independent component analysis to compare bSSFP and GE-EPI images.
- Results: bSSFP images showed RSNs that were comparable in quality to those from GE-EPI, with better anatomical alignment and reduced distortion, particularly in
Article Abstract
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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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3951283 | PMC |
| http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0091075 | PLOS |
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