Which multiband factor should you choose for your resting-state fMRI study?
Which multiband factor should you choose for your resting-state fMRI study?
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DOI：
10.1016/j.neuroimage.2021.117965
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发表时间：
2021-07-01
期刊：
影响因子：
5.7
通讯作者：
Qiu D
中科院分区：
文献类型：
--
作者：
Risk BB;Murden RJ;Wu J;Nebel MB;Venkataraman A;Zhang Z;Qiu D
多波段采集，也称为同步多切片，已成为静息态功能连接研究中的一种流行技术。多频带（MB）加速导致更高的时间分辨率，但也导致空间异构的噪声放大，这表明成本可能会更大的区域，如皮层下。我们在32通道头部线圈上使用2 mm各向同性体素评估MB因子2、3、4、6、8、9和12，并额外使用2 mm和3.3 mm单波段采集。噪声放大在更深的大脑区域，包括皮层下区域更大。相关性衰减噪声放大，这导致在空间上变化的偏见，更严重的是在较高的MB因素。时间滤波减少了空间偏差的相关性，由于噪声放大，但也往往会减少效果大小。在基于种子的相关图中，左-右壳核连接和丘脑-运动连接在单波段3.3 mm协议中最高。在相关性矩阵中，MB 4、6和8的显著相关性数量大于其他采集（使用和不使用时间滤波）。我们推荐单波段3.3 mm用于基于种子的皮层下分析，MB 4为分析基于种子的相关图和连接矩阵的研究提供了合理的平衡。在包括大规模数据集的二次分析的多波段研究中，我们建议报告效应量或检验统计量，而不是相关性。如果报告了相关性，则应使用时间滤波（或另一种用于热噪声去除的方法）。Emory多波段数据集可在OpenNeuro上获得。
Multiband acquisition, also called simultaneous multislice, has become a popular technique in resting-state functional connectivity studies. Multiband (MB) acceleration leads to a higher temporal resolution but also leads to spatially heterogeneous noise amplification, suggesting the costs may be greater in areas such as the subcortex. We evaluate MB factors of 2, 3, 4, 6, 8, 9, and 12 with 2 mm isotropic voxels, and additionally 2 mm and 3.3 mm single-band acquisitions, on a 32-channel head coil. Noise amplification was greater in deeper brain regions, including subcortical regions. Correlations were attenuated by noise amplification, which resulted in spatially varying biases that were more severe at higher MB factors. Temporal filtering decreased spatial biases in correlations due to noise amplification, but also tended to decrease effect sizes. In seed-based correlation maps, left-right putamen connectivity and thalamo-motor connectivity were highest in the single-band 3.3 mm protocol. In correlation matrices, MB 4, 6, and 8 had a greater number of significant correlations than the other acquisitions (both with and without temporal filtering). We recommend single-band 3.3 mm for seed-based subcortical analyses, and MB 4 provides a reasonable balance for studies analyzing both seed-based correlation maps and connectivity matrices. In multiband studies including secondary analyses of large-scale datasets, we recommend reporting effect sizes or test statistics instead of correlations. If correlations are reported, temporal filtering (or another method for thermal noise removal) should be used. The Emory Multiband Dataset is available on OpenNeuro.
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