Reducing the unwanted draining vein BOLD contribution in fMRI with statistical post-processing methods
Reducing the unwanted draining vein BOLD contribution in fMRI with statistical post-processing methods
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DOI：
10.1016/j.neuroimage.2007.03.075
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发表时间：
2007-08-01
期刊：
影响因子：
5.7
通讯作者：
Rowe, Daniel B.
中科院分区：
文献类型：
--
作者：
Nencka, Andrew S.;Rowe, Daniel B.
最近的BOLD功能磁共振成像数据分析方法显示，减少引流静脉的贡献。由[Menon，R.S.，2002.高分辨率fMRI中大血管BOLD信号的采集后抑制。Magn. Reson.医学、47，1-9]创建相位和幅度图像，将幅度作为相位的函数进行回归，并从观察到的幅度中减去相位估计的幅度。校正的幅度图像用于计算皮层激活。由[Rowe，D.B.，洛根，B.R.，2004.一种计算功能磁共振成像激活的复杂方法。NeuroImage，23，1078-1092]，使用复值重建图像和非线性回归模型来计算假设时间恒定相位的幅度皮层激活。在这两种方法中，相位信息的使用被声称对具有由一些引流静脉引起的与任务相关的相位变化的体素有偏见。的行为的统计方法的数据与几个任务相关的幅度和相位的变化进行了比较。用于确定具有特定任务相关幅度和相位变化组合的体素的统计方法的功率在理想的模拟数据中确定。的相位回归和复杂的常数相位激活确定技术进行检查，以表征模型的响应，以选择任务相关的相位和幅度变化的组合，在代表性的模拟时间序列。可能的引流静脉在人体的初步数据进行了讨论和分析的模型和当前的挑战，防止这些方法被可靠地实施进行了讨论。(c)2007年爱思唯尔公司All rights reserved.
Recent BOLD fMRI data analysis methods show promise in reducing contributions from draining veins. The phase regressor method developed by [Menon, R.S., 2002. Post-acquisition suppression of large-vessel BOLD signals in high-resolution fMRI. Magn. Reson. Med., 47, 1-9] creates phase and magnitude images, regresses magnitude as a function of phase, and subtracts phase-estimated magnitudes from the observed magnitudes. The corrected magnitude images are used to compute cortical activations. The complex constant phase method, developed by [Rowe, D.B., Logan, B.R., 2004. A complex way to compute fMRI activation. NeuroImage, 23, 1078-1092], uses complex-valued reconstructed images and a nonlinear regressor model to compute magnitude cortical activations assuming temporally constant phase. In both methods, the usage of the phase information is claimed to bias against voxels with task-related phase changes caused by some draining veins. The behavior of the statistical methods in data with several task-related magnitude and phase changes is compared. The power of the statistical methods for determining voxels with specific task-related magnitude and phase change combinations are determined in ideal simulated data. The phase regressor and complex constant phase activation determination techniques are examined to characterize the responses of the models to select task-related phase and magnitude change combinations in representative simulated time series. Possible draining veins in human preliminary data are discussed and analyzed with the models and the current challenges which prevent these methods from being reliably implemented are discussed. (c) 2007 Elsevier Inc. All rights reserved.