Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias
Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias
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DOI：
10.1371/journal.pbio.3000042
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发表时间：
2019-04-01
期刊：
影响因子：
9.8
通讯作者：
Imamizu, Hiroshi
中科院分区：
文献类型：
--
作者：
Yamashita, Ayumu;Yahata, Noriaki;Imamizu, Hiroshi
在收集与精神疾病相关的大量神经影像数据时，由于单个站点的容量有限，必须从多个站点获取图像。然而，在获取多部位神经成像数据时，部位差异是一个障碍。我们利用一个旅行受试者的数据集和一个多点、多混乱的数据集来证明地点差异由生物抽样偏差和工程测量偏差组成。两种偏倚类型对基于成对相关的静息状态功能MRI连通性的影响大于或等于精神障碍的差异。此外，我们的发现表明，每个站点只能从一小部分参与者中进行采样。这一结果表明，从尽可能多的地点收集大量神经成像数据，以适当估计大人口的分布是至关重要的。最后，我们开发了一种新的协调方法，该方法只使用旅行对象数据集去除测量偏差，实现了测量偏差减少29%，信噪比提高40%。我们的结果提供了关于部位效应的基础知识，这对于未来使用多部位、多无序的静息状态功能磁共振数据进行研究很重要。
When collecting large amounts of neuroimaging data associated with psychiatric disorders, images must be acquired from multiple sites because of the limited capacity of a single site. However, site differences represent a barrier when acquiring multisite neuroimaging data. We utilized a traveling-subject dataset in conjunction with a multisite, multidisorder dataset to demonstrate that site differences are composed of biological sampling bias and engineering measurement bias. The effects on resting-state functional MRI connectivity based on pairwise correlations because of both bias types were greater than or equal to psychiatric disorder differences. Furthermore, our findings indicated that each site can sample only from a subpopulation of participants. This result suggests that it is essential to collect large amounts of neuroimaging data from as many sites as possible to appropriately estimate the distribution of the grand population. Finally, we developed a novel harmonization method that removed only the measurement bias by using a traveling-subject dataset and achieved the reduction of the measurement bias by 29% and improvement of the signal-to-noise ratios by 40%. Our results provide fundamental knowledge regarding site effects, which is important for future research using multisite, multidisorder resting-state functional MRI data.