Schilling Kurt G, Li Muwei, Rheault Francois, Ding Zhaohua, Anderson Adam W, Kang Hakmook, Landman Bennett A, Gore John C
Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Cereb Cortex Commun. 2022 Aug 18;3(3):tgac035. doi: 10.1093/texcom/tgac035. eCollection 2022.
Detailed knowledge of the BOLD hemodynamic response function (HRF) is crucial for accurate analyses and interpretation of functional MRI data. Considerable efforts have been made to characterize the HRF in gray matter (GM), but much less attention has been paid to BOLD effects in white matter (WM). However, several recent reports have demonstrated reliable detection and analyses of WM BOLD signals both after stimulation and in a resting state. WM and GM differ in composition, energy requirements, and blood flow, so their neurovascular couplings also may well be different. We aimed to derive a comprehensive characterization of the HRF in WM across a population, including accurate measurements of its shape and its variation along and between WM pathways, using resting-state fMRI acquisitions. Our results show that the HRF is significantly different between WM and GM. Features of the HRF, such as a prominent initial dip, show strong relationships with features of the tissue microstructure derived from diffusion imaging, and these relationships differ between WM and GM, consistent with BOLD signal fluctuations reflecting different energy demands and neurovascular couplings in tissues of different composition and function. We also show that the HRF varies in shape significantly along WM pathways and is different between different WM pathways, suggesting the temporal evolution of BOLD signals after an event vary in different parts of the WM. These features of the HRF in WM are especially relevant for interpretation of the biophysical basis of BOLD effects in WM.
详细了解血氧水平依赖(BOLD)血流动力学响应函数(HRF)对于功能磁共振成像(fMRI)数据的准确分析和解释至关重要。人们已经做出了相当大的努力来表征灰质(GM)中的HRF,但对白质(WM)中的BOLD效应关注较少。然而,最近的几份报告表明,在刺激后和静息状态下都能可靠地检测和分析WM的BOLD信号。WM和GM在组成、能量需求和血流方面存在差异,因此它们的神经血管耦合也很可能不同。我们旨在通过静息态fMRI采集,全面表征人群中WM的HRF,包括准确测量其形状以及沿WM通路和不同WM通路之间的变化。我们的结果表明,WM和GM之间的HRF存在显著差异。HRF的特征,如明显的初始下降,与扩散成像得出的组织微观结构特征有很强的相关性,并且这些相关性在WM和GM之间有所不同,这与BOLD信号波动反映不同组成和功能组织中不同的能量需求和神经血管耦合一致。我们还表明,HRF的形状沿WM通路有显著变化,并且在不同的WM通路之间也不同,这表明事件发生后BOLD信号在WM不同部位的时间演变有所不同。WM中HRF的这些特征对于解释WM中BOLD效应的生物物理基础尤为重要。