Statistical harmonization corrects site effects in functional connectivity measurements from multi-site fMRI data.
Statistical harmonization corrects site effects in functional connectivity measurements from multi-site fMRI data.
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统计统一纠正了来自多站点fMRI数据的功能连通性测量中的站点效应。
DOI：
10.1002/hbm.24241
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发表时间：
2018-11
影响因子：
4.8
通讯作者：
Sheline YI
中科院分区：
文献类型：
--
作者：
Yu M;Linn KA;Cook PA;Phillips ML;McInnis M;Fava M;Trivedi MH;Weissman MM;Shinohara RT;Sheline YI
在多个MRI扫描仪和临床地点获取静息状态功能磁共振成像（fMRI）数据集可以提高统计能力和结果的通用性。然而，多位点神经成像研究表明，由于不同的扫描仪制造商和获取协议，fMRI测量结果存在相当大的非生物学差异。这些不受欢迎的可变性来源可能会限制检测感兴趣的效果的能力，甚至可能导致错误的发现。到目前为止，还没有一种方法可以消除不需要的站点效果。在这项研究中，我们使用了一个相对较大的多位点（4个位点）fMRI数据集，研究了位点效应对功能连通性和网络测量的影响，这些网络测量是通过广泛使用的连通性指标和大脑包裹性来估计的。本研究中使用的数据集的方案和图像采集已经使用来自每个神经成像位点的相同MRI幻像采集进行了均质化，但是位点间采集效应并未完全消除。事实上，在当前的研究中，我们发现位点效应的大小取决于连接度量和脑图谱的选择。因此，为了进一步消除位点效应，我们应用了ComBat，这是一种协调技术，以前在多位点扩散张量成像（DTI）和皮质厚度研究中被证明可以消除位点效应。在目前的工作中，ComBat成功地消除了连接和网络测量中确定的站点效应，并在使用连接指标和大脑地图集的最佳组合时提高了检测年龄关联的能力。我们提出的fMRI衍生连接性测量的战斗协调方法有助于可靠和有效地分析回顾性和前瞻性多位点fMRI神经成像研究。
Acquiring resting-state functional magnetic resonance imaging (fMRI) datasets at multiple MRI scanners and clinical sites can improve statistical power and generalizability of results. However, multi-site neuroimaging studies have reported considerable non-biological variability in fMRI measurements due to different scanner manufacturers and acquisition protocols. These undesirable sources of variability may limit power to detect effects of interest and may even result in erroneous findings. Until now, there has not been an approach that removes unwanted site effects. In this study, using a relatively large multi-site (4 sites) fMRI dataset, we investigated the impact of site effects on functional connectivity and network measures estimated by widely used connectivity metrics and brain parcellations. The protocols and image acquisition of the dataset used in this study had been homogenized using identical MRI phantom acquisitions from each of the neuroimaging sites, however inter-site acquisition effects were not completely eliminated. Indeed, in the current study we found that the magnitude of site effects depended on the choice of connectivity metric and brain atlas. Therefore, to further remove site effects, we applied ComBat, a harmonization technique previously shown to eliminate site effects in multi-site diffusion tensor imaging (DTI) and cortical thickness studies. In the current work, ComBat successfully removed site effects identified in connectivity and network measures and increased the power to detect age associations when using optimal combinations of connectivity metrics and brain atlases. Our proposed ComBat harmonization approach for fMRI-derived connectivity measures facilitates reliable and efficient analysis of retrospective and prospective multi-site fMRI neuroimaging studies.
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影响因子：
5.3
作者：
Achard, S;Salvador, R;Bullmore, ET
通讯作者：
Bullmore, ET
影响因子：
4.3
作者：
Achard S;Bullmore E
通讯作者：
Bullmore E
影响因子：
11
作者：
Di Martino, A.;Yan, C-G;Li, Q.;Denio, E.;Castellanos, F. X.;Alaerts, K.;Anderson, J. S.;Assaf, M.;Bookheimer, S. Y.;Dapretto, M.;Deen, B.;Delmonte, S.;Dinstein, I.;Ertl-Wagner, B.;Fair, D. A.;Gallagher, L.;Kennedy, D. P.;Keown, C. L.;Keysers, C.;Lainhart, J. E.;Lord, C.;Luna, B.;Menon, V.;Minshew, N. J.;Monk, C. S.;Mueller, S.;Mueller, R. A.;Nebel, M. B.;Nigg, J. T.;O'Hearn, K.;Pelphrey, K. A.;Peltier, S. J.;Rudie, J. D.;Sunaert, S.;Thioux, M.;Tyszka, J. M.;Uddin, L. Q.;Verhoeven, J. S.;Wenderoth, N.;Wiggins, J. L.;Mostofsky, S. H.;Milham, M. P.
通讯作者：
Milham, M. P.
影响因子：
7.2
作者：
Ajilore, Olusola;Lamar, Melissa;Kumar, Anand
通讯作者：
Kumar, Anand
影响因子：
5.7
作者：
Brown GG;Mathalon DH;Stern H;Ford J;Mueller B;Greve DN;McCarthy G;Voyvodic J;Glover G;Diaz M;Yetter E;Ozyurt IB;Jorgensen KW;Wible CG;Turner JA;Thompson WK;Potkin SG;Function Biomedical Informatics Research Network
通讯作者：
Function Biomedical Informatics Research Network