超高梯度连接组学和微结构MRI扫描仪用于跨尺度人脑回路成像

IF 26.8 1区 医学 Q1 ENGINEERING, BIOMEDICAL
Gabriel Ramos-Llordén, Hong-Hsi Lee, Mathias Davids, Peter Dietz, Andreas Krug, John E. Kirsch, Mirsad Mahmutovic, Alina Müller, Yixin Ma, Hansol Lee, Chiara Maffei, Anastasia Yendiki, Berkin Bilgic, Daniel J. Park, Qiyuan Tian, Bryan Clifford, Wei-Ching Lo, Stefan Stocker, Jasmine Fischer, Gudrun Ruyters, Manuela Roesler, Andreas Potthast, Thomas Benner, Elmar Rummert, Rebecca Schuster, Peter J. Basser, Thomas Witzel, Lawrence L. Wald, Bruce R. Rosen, Boris Keil, Susie Y. Huang
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引用次数: 0

摘要

对于人类系统神经科学来说,定义连接组(神经系统节点之间的结构连接的完整矩阵)是一项挑战,因为必须连接的尺度范围很大。在这里,我们报告了Connectome 2.0人类磁共振成像(MRI)扫描仪的设计,用于在介观和微观尺度上进行具有强梯度的人体体内成像的连接组学。我们构建了一个3层的头部梯度线圈,优化后可以最大限度地减少周围神经刺激,同时实现500 mT m−1的梯度强度和600 mT m−1 s−1的旋转速率,相当于比最先进的梯度系统(包括原始的Connectome (Connectome 1.0)扫描仪)高5倍的梯度性能。我们发现,通过集成一个72通道体内头部线圈和一个64通道离体全脑射频线圈,以及内置的数据保真度现场监测,灵敏度提高了两倍。我们展示了精细白质通路的映射,以及接近单微米水平的细胞和轴突大小和形态的推断,与Connectome 1.0相比,灵敏度至少提高了30%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Ultra-high gradient connectomics and microstructure MRI scanner for imaging of human brain circuits across scales

Ultra-high gradient connectomics and microstructure MRI scanner for imaging of human brain circuits across scales

Defining the connectome, the complete matrix of structural connections between the nervous system nodes, is a challenge for human systems neuroscience due to the range of scales that must be bridged. Here we report the design of the Connectome 2.0 human magnetic resonance imaging (MRI) scanner to perform connectomics at the mesoscopic and microscopic scales with strong gradients for in vivo human imaging. We construct a 3-layer head-only gradient coil optimized to minimize peripheral nerve stimulation while achieving a gradient strength of 500 mT m−1 and a slew rate of 600 T m−1 s−1, corresponding to a 5-fold greater gradient performance than state-of-the-art research gradient systems, including the original Connectome (Connectome 1.0) scanner. We find that gains in sensitivity of up to two times were achieved by integrating a 72-channel in vivo head coil and a 64-channel ex vivo whole-brain radiofrequency coil with built-in field monitoring for data fidelity. We demonstrate mapping of fine white matter pathways and inferences of cellular and axonal size and morphology approaching the single-micron level, with at least a 30% sensitivity improvement compared with Connectome 1.0.

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来源期刊
Nature Biomedical Engineering
Nature Biomedical Engineering Medicine-Medicine (miscellaneous)
CiteScore
45.30
自引率
1.10%
发文量
138
期刊介绍: Nature Biomedical Engineering is an online-only monthly journal that was launched in January 2017. It aims to publish original research, reviews, and commentary focusing on applied biomedicine and health technology. The journal targets a diverse audience, including life scientists who are involved in developing experimental or computational systems and methods to enhance our understanding of human physiology. It also covers biomedical researchers and engineers who are engaged in designing or optimizing therapies, assays, devices, or procedures for diagnosing or treating diseases. Additionally, clinicians, who make use of research outputs to evaluate patient health or administer therapy in various clinical settings and healthcare contexts, are also part of the target audience.
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