Brain scanning on the move, bike helmet style

Thursday, 14 November, 2019

Brain scanning on the move, bike helmet style

A wearable bike helmet-style brain scanner — which allows natural movement during scanning — has been used in a UK study to measure brain activity in young children engaging in natural activities.

Working in collaboration with the University of Oxford and University College London (UCL), researchers from the Sir Peter Mansfield Imaging Centre at the University of Nottingham enhanced their magnetoencephalography (MEG) technology with a novel helmet design that they used to study brain activity in young children. The results are published in Nature Communications.

In addition to providing a new way to measure healthy brain function — particularly in regards to improving our understanding of brain development — the method opens up the opportunity to study a range of neurological and mental health conditions in children, including epilepsy and autism.

About MEG

Brain cells operate and communicate by producing electrical currents. These currents generate tiny magnetic fields that can be detected outside the head. Researchers use MEG to map brain function by measuring these magnetic fields. This allows for a millisecond-by-millisecond picture of which parts of the brain are engaged when we undertake different tasks, such as speaking or moving.

Wearable quantum technology

PhD researcher and study lead Ryan Hill said, “The foundations for human cognition are laid down in the first decades of life, but there have always been limited ways to study them due to restrictions in brain scanning technology.

“A particular problem has always been movement and the fact that the large, traditional fixed scanners have always required patients to stay completely still. Not only does this fail give an accurate picture of the brain operating in a natural environment, but it also places severe restrictions on who can be scanned, with children representing the biggest challenge.”

The Nottingham research team solved this problem by using new lightweight ‘quantum’ sensors, meaning that the MEG technology — which traditionally requires a half-tonne ‘one-size-fits-all’ machine — was reduced to a 500 g helmet that can be adjusted to any head size.

Because the new sensors can be placed very close to the head, the amount of signal they can pick up is vastly increased compared with conventional equipment, which requires sensors to be kept very cold (-269°C) and therefore far away from the head.

The research team also developed electromagnetic coils to enable accurate control of background magnetic fields, allowing individuals to be scanned while moving freely.

“The initial prototype scanner was a 3D-printed helmet that was bespoke — in other words, only one person could use it,” explained Hill.

“It was very heavy and quite scary to look at. Here, we wanted to adapt it for use with children, which meant we had to design something much lighter and more comfortable but that still allowed good enough contact with the quantum sensors to pick up signals from the brain.

“We designed and built a new bike helmet-style design and using this we were able to successfully analyse brain activity of a two- and five-year-old whilst they were doing an everyday activity — in this case, watching TV whilst their hands were being stroked by their mum. They were able to move around and act naturally whilst doing this,” Hill said.

“To show that the system is equally applicable to older children, we used it, with a larger helmet, to scan a teenager playing a computer game.”

Real-world application

As well as looking at children’s brain activity, the researchers used the new scanner to examine brain activity in an adult learning a musical instrument. This scenario provides a way to examine brain activity whilst someone engages in a natural task, but was unthinkable with conventional MEG equipment because the act of playing the instrument requires head and arm movement, which has previously not been possible.

Professor Matthew Brookes, who leads the MEG research at the University of Nottingham, said, “This study is a hugely important step towards getting MEG closer to being used in a clinical setting, showing it has real potential for use in children.

“The challenge now is to expand this further, realising the theoretical benefits such as high sensitivity and spatial resolution, and refining the system design and fabrication, taking it away from the laboratory and towards a commercial product.”

Professor Richard Bowtell, Director of the Sir Peter Mansfield Imaging Centre, who was also involved in the research, said, “This is a really exciting development, which moves us towards a wearable brain MEG technology that can be used in adults and children. Collaboration with an interdisciplinary team of researchers from three universities has been key to the success of this work.”

Image ©University of Nottingham.

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