Centre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada.
Centre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada; Department of Biomedical and Molecular Sciences, Queen's University, Kingston, Ontario, Canada; Department of Physics, Queen's University, Kingston, Ontario, Canada.
Neuroscience. 2019 Apr 15;404:71-81. doi: 10.1016/j.neuroscience.2019.02.009. Epub 2019 Feb 15.
Resting-state functional magnetic resonance imaging (rs-fMRI) has been used to investigate networks within the cortex and has also provided some insight into the networks present in the brainstem (BS) and spinal cord (SC). The purpose of this study was to investigate resting-state blood oxygenation-level dependent (BOLD) fluctuations in the BS/SC and to identify resting-state networks (RSNs) across these regions. Resting-state BOLD fMRI data were obtained from the entire BS and cervical SC in 16 healthy participants, at 3 T, with T-weighted single-shot fast spin-echo imaging. Data were spatially normalized and processed to remove physiological noise. Cluster-cluster functional connectivity was investigated across the entire 3D region by means of temporal correlations, and structural equation modeling (SEM) was used to investigate RSNs. Extensive connectivity was observed within and across BS and SC regions, with connections spanning up to 120 mm, although shorter connections were more prevalent. SEM results revealed extensive brainstem-cord connectivity that included specific anatomical regions within the brainstem. The results indicate the presence of a complex resting-state network which is highly interconnected in the spinal cord. Known anatomical connections between cortical and BS regions support the conclusion that the observed resting-state BOLD fluctuations in the BS/SC may be related to autonomic regulation. Future studies are required to further investigate these resting-state BOLD networks.
静息态功能磁共振成像(rs-fMRI)已被用于研究皮层内的网络,也为研究脑干(BS)和脊髓(SC)中的网络提供了一些见解。本研究旨在研究 BS/SC 中的静息态血氧水平依赖(BOLD)波动,并确定这些区域的静息态网络(RSNs)。在 3T 下,使用 T 加权单次快速自旋回波成像,从 16 名健康参与者的整个 BS 和颈段 SC 获得了静息态 BOLD fMRI 数据。对数据进行空间归一化和处理,以去除生理噪声。通过时间相关来研究整个 3D 区域的簇-簇功能连接,并使用结构方程模型(SEM)来研究 RSNs。观察到 BS 和 SC 区域内和区域之间广泛的连接,连接跨度长达 120mm,但更常见的是较短的连接。SEM 结果显示了广泛的脑干-脊髓连接,包括脑干内的特定解剖区域。结果表明存在一个复杂的静息态网络,在脊髓中高度互联。皮质和 BS 区域之间已知的解剖连接支持这样的结论,即观察到的 BS/SC 中的静息态 BOLD 波动可能与自主调节有关。需要进一步的研究来进一步研究这些静息态 BOLD 网络。