4.8 Article

Moving magnetoencephalography towards real-world applications with a wearable system

Journal

NATURE
Volume 555, Issue 7698, Pages 657-+

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/nature26147

Keywords

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Funding

  1. Medical Research Council Funding Source: Medline
  2. NICHD NIH HHS [R44 HD074495] Funding Source: Medline
  3. NIMH NIH HHS [R44 MH110288] Funding Source: Medline
  4. Wellcome Trust [203257BARNES] Funding Source: Medline
  5. EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT [R44HD074495] Funding Source: NIH RePORTER
  6. NATIONAL INSTITUTE OF MENTAL HEALTH [R44MH110288] Funding Source: NIH RePORTER
  7. EPSRC [EP/M013294/1] Funding Source: UKRI

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Imaging human brain function with techniques such as magnetoencephalography(1) 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(2,3), 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.

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