Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham NG7 2RD, UK.
QuSpin Inc., 331 South 104th Street, Suite 130, Louisville, Colorado 80027, USA.
Nature. 2018 Mar 29;555(7698):657-661. doi: 10.1038/nature26147. Epub 2018 Mar 21.
Imaging human brain function with techniques such as magnetoencephalography typically requires a subject to perform tasks while their head remains still within a restrictive scanner. This artificial environment makes the technique inaccessible to many people, and limits the experimental questions that can be addressed. For example, it has been difficult to apply neuroimaging to investigation of the neural substrates of cognitive development in babies and children, or to study processes in adults that require unconstrained head movement (such as spatial navigation). Here we describe a magnetoencephalography system that can be worn like a helmet, allowing free and natural movement during scanning. This is possible owing to the integration of quantum sensors, which do not rely on superconducting technology, with a system for nulling background magnetic fields. We demonstrate human electrophysiological measurement at millisecond resolution while subjects make natural movements, including head nodding, stretching, drinking and playing a ball game. Our results compare well to those of the current state-of-the-art, even when subjects make large head movements. The system opens up new possibilities for scanning any subject or patient group, with myriad applications such as characterization of the neurodevelopmental connectome, imaging subjects moving naturally in a virtual environment and investigating the pathophysiology of movement disorders.
使用诸如脑磁图(MEG)等技术来对人类大脑功能进行成像通常需要受试者在其头部保持静止的情况下在限制扫描器内执行任务。这种人为环境使许多人无法使用该技术,并限制了可以解决的实验问题。例如,应用神经影像学来研究婴儿和儿童认知发展的神经基础,或研究需要不受约束的头部运动(例如空间导航)的成年人的过程一直很困难。在这里,我们描述了一种可以像头盔一样佩戴的脑磁图系统,允许在扫描过程中自由和自然地移动。这是由于量子传感器与背景磁场抵消系统的集成成为可能,而量子传感器不依赖超导技术。我们演示了毫秒级分辨率的人类电生理测量,同时受试者进行自然运动,包括点头、伸展、喝水和玩球。即使受试者进行大幅度的头部运动,我们的结果也与当前最先进的技术相媲美。该系统为扫描任何受试者或患者群体开辟了新的可能性,具有无数的应用,例如神经发育连接组的特征描述、在虚拟环境中自然移动的受试者成像以及运动障碍的病理生理学研究。