Functional Sensitivity of 2D Simultaneous Multi-Slice Echo-Planar Imaging: Effects of Acceleration on g-factor and Physiological Noise

被引:31
作者
Todd, Nick [1 ]
Josephs, Oliver [2 ]
Zeidman, Peter [2 ]
Flandin, Guillaume [2 ]
Moeller, Steen [3 ]
Weiskopf, Nikolaus [2 ,4 ]
机构
[1] Harvard Med Sch, Brigham & Womens Hosp, Dept Radiol, Boston, MA USA
[2] UCL, Inst Neurol, Wellcome Trust Ctr Neuroimaging, London, England
[3] Univ Minnesota, Dept Radiol, Ctr Magnet Resonance Res, Minneapolis, MN 55455 USA
[4] Max Planck Inst Human Cognit & Brain Sci, Dept Neurophys, Leipzig, Germany
来源
FRONTIERS IN NEUROSCIENCE | 2017年 / 11卷
基金
欧洲研究理事会; 英国惠康基金;
关键词
simultaneous multi-slice; SMS; fMRI; acceleration; SNR; tSNR; high frequency noise; BOLD sensitivity; HUMAN CONNECTOME PROJECT; RESTING-STATE FMRI; 7; T; EPI; MRI; 3T; CONNECTIVITY; VALIDATION; BRAIN;
D O I
10.3389/fnins.2017.00158
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Accelerated data acquisition with simultaneous multi-slice (SMS) imaging for functional MRI studies leads to interacting and opposing effects that influence the sensitivity to blood oxygen level-dependent (BOLD) signal changes. Image signal to noise ratio (SNR) is decreased with higher SMS acceleration factors and shorter repetition times (TR) due to g-factor noise penalties and saturation of longitudinal magnetization. However, the lower image SNR is counteracted by greater statistical power from more samples per unit time and a higher temporal Nyquist frequency that allows for better removal of spurious non-BOLD high frequency signal content. This study investigated the dependence of the BOLD sensitivity on these main driving factors and their interaction, and provides a framework for evaluating optimal acceleration of SMS-EPI sequences. functional magnetic resonance imaging (fMRI) data from a scenes/objects visualization task was acquired in 10 healthy volunteers at a standard neuroscience resolution of 3 mm on a 3T MRI scanner. SMS factors 1, 2, 4, and 8 were used, spanning TRs of 2800 ms to 350 ms. Two data processing methods were used to equalize the number of samples over the SMS factors. BOLD sensitivity was assessed using g-factors maps, temporal SNR (tSNR), and t-score metrics. tSNR results show a dependence on SMS factor that is highly non-uniform over the brain, with outcomes driven by g-factor noise amplification and the presence of high frequency noise. The t-scoremetrics also show a high degree of spatial dependence: the lower g-factor noise area of V1 shows significant improvements at higher SMS factors; the moderate-level g-factor noise area of the parahippocampal place area shows only a trend of improvement; and the high g-factor noise area of the ventral-medial pre-frontal cortex shows a trend of declining t-scores at higher SMS factors. This spatial variability suggests that the optimal SMS factor for fMRI studies is region dependent. For task fMRI studies done with similar parameters as were used here (3T scanner, 32-channel RF head coil, whole brain coverage at 3 mm isotropic resolution), we recommend SMS accelerations of 4x (conservative) to 8x (aggressive) for most studies and a more conservative acceleration of 2x for studies interested in anterior midline regions.
引用
收藏
页数:14
相关论文
共 36 条
  • [31] Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project
    Ugurbil, Kamil
    Xu, Junqian
    Auerbach, Edward J.
    Moeller, Steen
    Vu, An T.
    Duarte-Carvajalino, Julio M.
    Lenglet, Christophe
    Wu, Xiaoping
    Schmitter, Sebastian
    Van de Moortele, Pierre Francois
    Strupp, John
    Sapiro, Guillermo
    De Martino, Federico
    Wang, Dingxin
    Harel, Noam
    Garwood, Michael
    Chen, Liyong
    Feinberg, David A.
    Smith, Stephen M.
    Miller, Karla L.
    Sotiropoulos, Stamatios N.
    Jbabdi, Saad
    Andersson, Jesper L. R.
    Behrens, Timothy E. J.
    Glasser, Matthew F.
    Van Essen, David C.
    Yacoub, Essa
    [J]. NEUROIMAGE, 2013, 80 : 80 - 104
  • [32] Quantitative multi-parameter mapping of R1 PD* MT, and R2*at 3T: a multi-center validation
    Weiskopf, Nikolaus
    Suckling, John
    Williams, Guy
    Correia, Marta M.
    Inkster, Becky
    Tait, Roger
    Ooi, Cinly
    Bullmore, Edward T.
    Lutti, Antoine
    [J]. FRONTIERS IN NEUROSCIENCE, 2013, 7
  • [33] Wong E, 2012, P 20 ANN M ISMRM MEL, P2209
  • [34] ANALYSIS OF FMRI TIME-SERIES REVISITED - AGAIN
    WORSLEY, KJ
    FRISTON, KJ
    [J]. NEUROIMAGE, 1995, 2 (03) : 173 - 181
  • [35] Evaluation of slice accelerations using multiband echo planar imaging at 3 T
    Xu, Junqian
    Moeller, Steen
    Auerbach, Edward J.
    Strupp, John
    Smith, Stephen M.
    Feinberg, David A.
    Yacoub, Essa
    Ugurbil, Kamil
    [J]. NEUROIMAGE, 2013, 83 : 991 - 1001
  • [36] Constructing, Perceiving, and Maintaining Scenes: Hippocampal Activity and Connectivity
    Zeidman, Peter
    Mullally, Sinead L.
    Maguire, Eleanor A.
    [J]. CEREBRAL CORTEX, 2015, 25 (10) : 3836 - 3855