Modeling venous bias in resting state functional MRI metrics.
Modeling venous bias in resting state functional MRI metrics.
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DOI：
10.1002/hbm.26431
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发表时间：
2023-10-01
影响因子：
4.8
通讯作者：
Gauthier, Claudine J.
中科院分区：
文献类型：
--
作者：
Huck, Julia;Jaeger, Anna-Thekla;Schneider, Uta;Grahl, Sophia;Fan, Audrey P.;Tardif, Christine;Villringer, Arno;Bazin, Pierre-Louis;Steele, Christopher J.;Gauthier, Claudine J.
静息态（rs）功能磁共振成像（fMRI）用于检测大脑区域血氧水平依赖（BOLD）信号的低频波动。时间BOLD信号波动之间的相关性通常用于推断功能连接。然而，由于BOLD是基于脱氧血红蛋白的稀释，因此它对所有大小的静脉都很敏感，并且其幅度会受到引流静脉的影响。这些偏差会影响局部BOLD信号的位置和幅度，也可能影响BOLD导出的连接性测量，但这种静脉偏差的大小及其与静脉大小和接近度的关系尚不清楚。在这里，使用高分辨率定量磁化率图识别静脉，并在生物物理模型中利用静脉来研究常见局部rsfMRI衍生测量的系统性静脉偏差。具体而言，我们研究了静脉直径和静脉距离对灰质中低频波动（ALFF）、分数ALFF（fALFF）、赫斯特指数（HE）、区域均匀性（ReHo）和特征向量中心值的影响。较小静脉中所有距离的值均较高，并随静脉直径的增加而降低。此外，与较大静脉相关的rsfMRI值随着与静脉的距离增加而降低。ALFF和ReHo受静脉影响最大，而HE和fALFF受静脉影响最小。在所有指标中，体素数据中的偏倚幅度有限，证实静脉结构不是这些rsfMRI指标中的主要对比度来源。最后，所提出的模型可用于校正rsfMRI指标中的静脉偏倚。静息态功能性MRI是一种非常流行的技术，了解其偏差对于解释其结果至关重要。在这里，我们探讨了其静脉偏差的大小，并提供了一个生物物理模型来纠正一些最常用的指标。具体而言，我们旨在了解静脉直径和组织体素到静脉的距离对常见局部rsfMRI指标的影响，包括整个灰质中的低频波动（ALFF）幅度、分数ALFF、赫斯特指数、区域均匀性和特征向量中心值。
Resting‐state (rs) functional magnetic resonance imaging (fMRI) is used to detect low‐frequency fluctuations in the blood oxygen‐level dependent (BOLD) signal across brain regions. Correlations between temporal BOLD signal fluctuations are commonly used to infer functional connectivity. However, because BOLD is based on the dilution of deoxyhemoglobin, it is sensitive to veins of all sizes, and its amplitude is biased by draining veins. These biases affect local BOLD signal location and amplitude, and may also influence BOLD‐derived connectivity measures, but the magnitude of this venous bias and its relation to vein size and proximity is unknown. Here, veins were identified using high‐resolution quantitative susceptibility maps and utilized in a biophysical model to investigate systematic venous biases on common local rsfMRI‐derived measures. Specifically, we studied the impact of vein diameter and distance to veins on the amplitude of low‐frequency fluctuations (ALFF), fractional ALFF (fALFF), Hurst exponent (HE), regional homogeneity (ReHo), and eigenvector centrality values in the grey matter. Values were higher across all distances in smaller veins, and decreased with increasing vein diameter. Additionally, rsfMRI values associated with larger veins decrease with increasing distance from the veins. ALFF and ReHo were the most biased by veins, while HE and fALFF exhibited the smallest bias. Across all metrics, the amplitude of the bias was limited in voxel‐wise data, confirming that venous structure is not the dominant source of contrast in these rsfMRI metrics. Finally, the models presented can be used to correct this venous bias in rsfMRI metrics. Resting state functional MRI is a highly popular technique and understanding its biases is crucial for the interpretation of results derived from it. Here, we explore the magnitude of its venous bias, and provide a biophysical model for correcting some of the most commonly used metrics. Specifically, we aimed to understand the impact of vein diameter and distance of tissue voxels to veins on common local rsfMRI metrics including the amplitudes of low‐frequency fluctuations (ALFF), fractional ALFF, Hurst exponent, regional homogeneity, and eigenvector centrality values in the whole grey matter.
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影响因子：
3.5
作者：
Abraham A;Pedregosa F;Eickenberg M;Gervais P;Mueller A;Kossaifi J;Gramfort A;Thirion B;Varoquaux G
通讯作者：
Varoquaux G
影响因子：
5.3
作者：
Gagnon, Louis;Sakadzic, Sava;Boas, David A.
通讯作者：
Boas, David A.
影响因子：
5.7
作者：
Curtis, Andrew T.;Hutchison, R. Matthew;Menon, Ravi S.
通讯作者：
Menon, Ravi S.
DOI：
10.1016/j.jmr.2017.05.004
发表时间：
2017-08
期刊：
Journal of magnetic resonance (San Diego, Calif. : 1997)
影响因子：
--
作者：
Fang J;Bao L;Li X;van Zijl PCM;Chen Z
通讯作者：
Chen Z
影响因子：
4.2
作者：
Gauthier, Claudine J.;Madjar, Cecile;Hoge, Richard D.
通讯作者：
Hoge, Richard D.