Accelerated Resting-State Functional Magnetic Resonance Imaging Using Multiband Echo-Planar Imaging with Controlled Aliasing
2
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
Purpose: To report the use of multiband accelerated echo-planar imaging (EPI) for resting-state functional MRI (rs-fMRI) to achieve rapid high temporal resolution at 3T compared to conventional EPI. Materials and Methods: rs-fMRI data were acquired from 20 healthy right-handed volunteers by using three methods: conventional single-band gradient-echo EPI acquisition (Data 1), multiband gradient-echo EPI acquisition with 240 volumes (Data 2) and 480 volumes (Data 3). Temporal signal-to-noise ratio (tSNR) maps were obtained by dividing the mean of the time course of each voxel by its temporal standard deviation. The resting-state sensorimotor network (SMN) and default mode network (DMN) were estimated using independent component analysis (ICA) and a seed-based method. One-way analysis of variance (ANOVA) was performed between the tSNR map, SMN, and DMN from the three data sets for between-group analysis. P < 0.05 with a family-wise error (FWE) correction for multiple comparisons was considered statistically significant. Results: One-way ANOVA and post-hoc two-sample t-tests showed that the tSNR was higher in Data 1 than Data 2 and 3 in white matter structures such as the striatum and medial and superior longitudinal fasciculus. One-way ANOVA revealed no differences in SMN or DMN across the three data sets. Conclusion: Within the adapted metrics estimated under specific imaging conditions employed in this study, multiband accelerated EPI, which substantially reduced scan times, provides the same quality image of functional connectivity as rs-fMRI by using conventional EPI at 3T. Under employed imaging conditions, this technique shows strong potential for clinical acceptance and translation of rs-fMRI protocols with potential advantages in spatial and/or temporal resolution. However, further study is warranted to evaluate whether the current findings can be generalized in diverse settings.
Abstract
Purpose: To report the use of multiband accelerated echo-planar imaging (EPI) for resting-state functional MRI (rs-fMRI) to achieve rapid high temporal resolution at 3T compared to conventional EPI. Materials and Methods: rs-fMRI data were acquired from 20 healthy right-handed volunteers by using three methods: conventional single-band gradient-echo EPI acquisition (Data 1), multiband gradient-echo EPI acquisition with 240 volumes (Data 2) and 480 volumes (Data 3). Temporal signal-to-noise ratio (tSNR) maps were obtained by dividing the mean of the time course of each voxel by its temporal standard deviation. The resting-state sensorimotor network (SMN) and default mode network (DMN) were estimated using independent component analysis (ICA) and a seed-based method. One-way analysis of variance (ANOVA) was performed between the tSNR map, SMN, and DMN from the three data sets for between-group analysis. P < 0.05 with a family-wise error (FWE) correction for multiple comparisons was considered statistically significant. Results: One-way ANOVA and post-hoc two-sample t-tests showed that the tSNR was higher in Data 1 than Data 2 and 3 in white matter structures such as the striatum and medial and superior longitudinal fasciculus. One-way ANOVA revealed no differences in SMN or DMN across the three data sets. Conclusion: Within the adapted metrics estimated under specific imaging conditions employed in this study, multiband accelerated EPI, which substantially reduced scan times, provides the same quality image of functional connectivity as rs-fMRI by using conventional EPI at 3T. Under employed imaging conditions, this technique shows strong potential for clinical acceptance and translation of rs-fMRI protocols with potential advantages in spatial and/or temporal resolution. However, further study is warranted to evaluate whether the current findings can be generalized in diverse settings.
참고문헌 (16)
- Moeller S, "Multiband multislice GE-EPI at 7 tesla, with 16-fold acceleration using partial parallel imaging with application to high spatial and temporal whole-brain fMRI", Magn Reson Med, 63, pp.1144~1153 (2010)
- Setsompop K, "Blipped-controlled aliasing in parallel imaging for simultaneous multislice echo planar imaging with reduced g-factor penalty", Magn Reson Med, 67, pp.1210~1224 (2012)
- Smith SM, "Temporallyindependent functional modes of spontaneous brain activity", Proc Natl Acad Sci U S A, 109, pp.3131~3136 (2012)
- Cole DM, "Advances and pitfalls in the analysis and interpretation of resting-state FMRI data", Front Syst Neurosci, 4, pp.8~ (2010)
- Cordes D, "Frequencies contributing to functional connectivity in the cerebral cortex in"resting-state"data", AJNR Am J Neuroradiol, 22, pp.1326~1333 (2001)
- Leopold DA, "Very slow activity fluctuations in monkey visual cortex : implications for functional brain imaging", Cereb Cortex, 13, pp.422~433 (2003)
- Malinen S, "Aberrant temporal and spatial brain activity during rest in patients with chronic pain", Proc Natl Acad Sci U S A, 107, pp.6493~6497 (2010)
- Feinberg DA, "Multiplexed echo planar imaging for sub-second whole brain FMRI and fast diffusion imaging", PLoS One, 5, pp.e15710~ (2010)
- Griffanti L, "ICAbased artefact removal and accelerated fMRI acquisition for improved resting state network imaging", Neuroimage, 95, pp.232~247 (2014)
- Olafsson V, "Enhanced identification of BOLD-like components with multi-echo simultaneous multi-slice(MESMS)fMRI and multi-echo ICA", Neuroimage, 112, pp.43~51 (2015)
- Boyacioglu R, "Improved sensitivity and specificity for resting state and task fMRI with multiband multi-echo EPI compared to multi-echo EPI at 7 T", Neuroimage, 119, pp.352~361 (2015)
- Hutton C, "The impact of physiological noise correction on fMRI at 7 T", Neuroimage, 57, pp.101~112 (2011)
- Lee HL, "Tracking dynamic resting-state networks at higher frequencies using MR-encephalography", Neuroimage, 65, pp.216~222 (2013)
- Zalesky A, "Time-resolved resting-state brain networks", Proc Natl Acad Sci U S A, 111, pp.10341~10346 (2014)
- Moeller S, "Signal leakage (L-factor) as a measure for parallel imaging performance among simultaneously multi-slice (SMS)excited and acquired signals", Proceedings of the 20th Annual Meeting of ISMRM (2012)
- Setsompop K, "Characterization of artifactual correlation in highly-accelerated simultaneous multi-slice (SMS) fMRI acquisitions", Proceedings of the 21th Annual Meeting of ISMRM (2013)