Complex data analysis in high-resolution SSFP fMRI
Complex data analysis in high-resolution SSFP fMRI
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DOI：
10.1002/mrm.21195
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发表时间：
2007-05-01
影响因子：
3.3
通讯作者：
Pauly, John M.
中科院分区：
文献类型：
--
作者：
Lee, Jongho;Shahram, Morteza;Pauly, John M.
在过渡带稳态自由进动（SSFP）功能性MRI（fMRI）中，功能对比度源于激活脑区中脱氧血红蛋白浓度变化引起的整体频率偏移。该频移导致幅度和/或相位信号变化，这取决于平衡SSFP（bSSFP）轮廓中的体素的非共振分布。然而，在早期的低分辨率研究中，只显示了幅度信号激活。在本文中，任务相关的相位信号变化是在一个高分辨率（1x 1x 1 mm（3））的研究。为了在泛函分析中包含这一相位激活，提出了一种新的复域数据分析方法。结果表明，统计上显着的相位信号的变化，在大量的体素可比的幅度激活的体素。复数据分析方法成功地将这些相位激活包括在激活图中，因此与幅度数据分析结果相比提供了更广泛的覆盖范围。
In transition-band steady-state free precession (SSFP) functional MRI (fMRI), functional contrast originates from a bulk frequency shift induced by a deoxygenated hemoglobin concentration change in the activated brain regions. This frequency shift causes a magnitude and/or phase-signal change depending on the off-resonance distribution of a voxel in the balanced-SSFP (bSSFP) profile. However, in early low-resolution studies, only the magnitude signal activations were shown. In this paper the task-correlated phase-signal change is presented in a high-resolution (1x1x1 mm(3)) study. To include this phase activation in a functional analysis, a new complex domain data analysis method is proposed. The results show statistically significant phase-signal changes in a large number of voxels comparable to that of the magnitude-activated voxels. The complex-data analysis method successfully includes these phase activations in the activation map and thus provides wider coverage compared to magnitude-data analysis results.