A temporal decomposition method for identifying venous effects in task-based fMRI.
A temporal decomposition method for identifying venous effects in task-based fMRI.
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DOI：
10.1038/s41592-020-0941-6
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发表时间：
2020-10
期刊：
影响因子：
48
通讯作者：
Uğurbil K
中科院分区：
文献类型：
--
作者：
Kay K;Jamison KW;Zhang RY;Uğurbil K
The spatial resolution of functional magnetic resonance imaging (fMRI) is fundamentally limited by effects from large draining veins. Here, we describe a new analysis method that provides data-driven estimates of these effects in task-based fMRI. The method involves fitting a simple one-dimensional manifold that characterizes variation in response timecourses observed in a given dataset, and then using identified early and late timecourses as basis functions for decomposing responses into components related to the microvasculature (capillaries and small venules) and the macrovasculature (large veins), respectively. We show the removal of late components substantially reduces the superficial cortical depth bias of fMRI responses and helps eliminate artifacts in cortical activity maps. This powerful method provides insight into the origins of the fMRI signal and can be used to improve the spatial accuracy of fMRI.
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