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利用超高分辨率采集协议绘制全脑静息态网络图谱。

Mapping of whole-cerebrum resting-state networks using ultra-high resolution acquisition protocols.

机构信息

Institute of Neuroscience and Medicine-4, Medical Imaging Physics, Forschungszentrum Jülich, Jülich, Germany.

Institute of Neuroscience and Medicine-1, Structural and Functional Organisation of the Brain, Forschungszentrum Jülich, Jülich, Germany.

出版信息

Hum Brain Mapp. 2022 Aug 1;43(11):3386-3403. doi: 10.1002/hbm.25855. Epub 2022 Apr 6.

Abstract

Resting-state functional magnetic resonance imaging (fMRI) has been used in numerous studies to map networks in the brain that employ spatially disparate regions. However, attempts to map networks with high spatial resolution have been hampered by conflicting technical demands and associated problems. Results from recent fMRI studies have shown that spatial resolution remains around 0.7 × 0.7 × 0.7 mm , with only partial brain coverage. Therefore, this work aims to present a novel fMRI technique that was developed based on echo-planar-imaging with keyhole (EPIK) combined with repetition-time-external (TR-external) EPI phase correction. Each technique has been previously shown to be effective in enhancing the spatial resolution of fMRI, and in this work, the combination of the two techniques into TR-external EPIK provided a nominal spatial resolution of 0.51 × 0.51 × 1.00 mm (0.26 mm voxel) with whole-cerebrum coverage. Here, the feasibility of using half-millimetre in-plane TR-external EPIK for resting-state fMRI was validated using 13 healthy subjects and the corresponding reproducible mapping of resting-state networks was demonstrated. Furthermore, TR-external EPIK enabled the identification of various resting-state networks distributed throughout the brain from a single fMRI session, with mapping fidelity onto the grey matter at 7T. The high-resolution functional image further revealed mesoscale anatomical structures, such as small cerebral vessels and the internal granular layer of the cortex within the postcentral gyrus.

摘要

静息态功能磁共振成像(fMRI)已被广泛应用于对大脑网络的研究,这些网络涉及空间上离散的区域。然而,为了实现高空间分辨率的网络映射,需要满足相互冲突的技术要求,并解决相关问题。最近的 fMRI 研究结果表明,空间分辨率仍然在 0.7×0.7×0.7mm 左右,且仅覆盖部分大脑区域。因此,本研究旨在介绍一种新的 fMRI 技术,该技术基于结合关键孔(EPIK)的平面回波成像(EPI)和重复时间外部(TR-external)EPI 相位校正而开发。这两种技术以前都被证明可以有效提高 fMRI 的空间分辨率,在本研究中,将这两种技术结合为 TR-external EPIK,提供了名义上的 0.51×0.51×1.00mm(0.26mm 体素)的空间分辨率,覆盖整个大脑。在这里,使用半毫米平面内 TR-external EPIK 进行静息态 fMRI 的可行性通过 13 名健康受试者得到了验证,并展示了相应的静息态网络可重复性映射。此外,TR-external EPIK 可以在单次 fMRI 扫描中识别出分布在大脑各个部位的各种静息态网络,并在 7T 上实现对灰质的精确映射。高分辨率功能图像进一步揭示了中尺度解剖结构,例如小的脑血管和后中央回的大脑皮层内颗粒层。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c353/9248311/4739cf8b47ff/HBM-43-3386-g004.jpg

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