Calibrating BOLD fMRI Activations with Neurovascular and Anatomical Constraints
Calibrating BOLD fMRI Activations with Neurovascular and Anatomical Constraints
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DOI：
10.1093/cercor/bhs001
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发表时间：
2013-02-01
期刊：
影响因子：
3.7
通讯作者：
Biswal, Bharat B.
中科院分区：
文献类型：
--
作者：
Di, Xin;Kannurpatti, Sridhar S.;Biswal, Bharat B.
功能性磁共振成像信号除了反映神经元反应外，还包含生理变化。这些因素可能会导致血氧水平依赖性（BOLD）激活结果的变异性，特别是在不同的人群中。在这项研究中，我们假设的幅度以及空间范围的BOLD激活可以改善后，最大限度地减少由神经血管和解剖因素引起的方差。受试者在进行手指敲击和数字符号替换任务（DSST）时进行扫描。部分容积和神经血管效应在体素基础上使用受试者自身的灰质体积（GMV）、屏气（BH）和低频波动幅度（ALFF）进行估计。结果表明，所有个体的GMV、BH和ALFF都能以体素方式显著预测运动和DSST激活。进行全脑分析以回归出解剖学和神经血管信息。微分图（使用t检验获得）表明，调整倾向于抑制激活的区域附近的血管，如中线扣带回，双侧前额叶和小脑后部。这些结果表明，使用GMV和神经血管参数的体素调整可以最大限度地减少个体之间的结构和生理差异，并用于定量比较。
Functional magnetic resonance imaging signals, in addition to reflecting neuronal response, also contain physiological variances. These factors may introduce variability into blood oxygen level-dependent (BOLD) activation results, particularly in different population groups. In this study, we hypothesized that the amplitude as well as the spatial extent of BOLD activation could be improved after minimizing the variance caused by the neurovascular and anatomical factors. Subjects were scanned while they performed finger tapping and digit-symbol substitution tasks (DSSTs). Partial volume and neurovascular effects were estimated on a voxelwise basis using subjects' own gray matter volume (GMV), breath holding (BH), and amplitude of low-frequency fluctuation (ALFF). The results showed that all individual's GMV, BH, and ALFF could significantly predict motor and DSST activations in a voxelwise manner. Whole-brain analyses were conducted to regress out the anatomical and neurovascular information. Differential maps (obtained using t-test) indicated that the adjustment tended to suppress activation in regions that were near vessels such as midline cingulate gyrus, bilateral anterior insula, and posterior cerebellum. These results suggest that voxelwise adjustment using GMV and neurovascular parameters can minimize structural and physiological variances among individuals and be used for quantitative comparisons.