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Summary: Researchers have developed a new method to record brain activity at scale. The new technique could help in the development of new neuroprosthetic devices to help amputees and those with movement restricting neurological conditions.
Source: Francis Crick Institute
A new method to accurately record brain activity at scale has been developed by researchers at the Crick, Stanford University and UCL. The technique could lead to new medical devices to help amputees, people with paralysis or people with neurological conditions such as motor neuron disease.
The research in mice, published in Science Advances, developed an accurate and scalable method to record brain activity across large areas, including on the surface and in deeper regions simultaneously.
Using the latest in electronics and engineering techniques, the new device combines silicon chip technology with super-slim microwires, up to 15-times thinner than a human hair. The wires are so thin they can be placed deep in the brain without causing significant damage. Alongside its ability to accurately monitor brain activity, the device could also be used to inject electrical signals into precise areas of the brain.
“This technology provides the basis for lots of exciting future developments beyond neuroscience research. It could lead to tech that can pass a signal from the brain to a machine, for example helping those with amputations to control a prosthetic limb to shake a hand or stand up. It could also be used to create electrical signals in the brain when neurons are damaged and aren’t firing themselves, such as in motor neuron disease,” says Andreas Schaefer, group leader in the neurophysiology of behaviour laboratory at the Crick and professor of neuroscience at UCL.
When the device is connected to a brain, electrical signals from active neurons travel up the nearby microwires to a silicon chip, where the data is processed and analysed showing which areas of the brain are active.
The researchers ensured the design of the device allows it to be easily scaled depending on the size of the animal, with a few hundred wires for a mouse to over 100,000 for larger mammals. This is a key feature of the device as it means it holds potential, in the future, to be scaled for use with humans.
Mihaly Kollo, co-lead author, postdoc at the Crick’s neurophysiology of behaviour laboratory and senior research associate at UCL, says: “One of the great challenges in recording brain activity, especially in deeper regions, is how to get the wires, called electrodes, in position without causing a lot of tissue damage or bleeding. Our method overcomes this by using electrodes that are sufficiently thin.
“Another challenge is recording the activity of many neurons that are that are distributed in layers with complex shapes in the three-dimensional space. Again, our method provides a solution as the wires can be readily arranged into any 3D shape.”
The technology described in the study is also the basis for a fully integrated brain computer interface system that is being developed by Paradromics, a company founded by Matthew Angle, one of the authors of this paper. The Texas-based company is working to develop a medical device platform that will improve the lives of people with critical diseases, including paralysis, sensory impairment and drug resistant neuropsychiatric diseases.
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Source: Francis Crick Institute Media Contacts: Alice Deeley – Francis Crick Institute Image Source: The image is credited to Andreas Schaefer.
Original Research: Open access “Massively parallel microwire arrays integrated with CMOS chips for neural recording”. Andreas Schaefer et al. Science Advances doi:10.1126/sciadv.aay2789.
Massively parallel microwire arrays integrated with CMOS chips for neural recording
Multi-channel electrical recordings of neural activity in the brain is an increasingly powerful method revealing new aspects of neural communication, computation, and prosthetics. However, while planar silicon-based CMOS devices in conventional electronics scale rapidly, neural interface devices have not kept pace. Here, we present a new strategy to interface silicon-based chips with three-dimensional microwire arrays, providing the link between rapidly-developing electronics and high density neural interfaces. The system consists of a bundle of microwires mated to large-scale microelectrode arrays, such as camera chips. This system has excellent recording performance, demonstrated via single unit and local-field potential recordings in isolated retina and in the motor cortex or striatum of awake moving mice. The modular design enables a variety of microwire types and sizes to be integrated with different types of pixel arrays, connecting the rapid progress of commercial multiplexing, digitisation and data acquisition hardware together with a three-dimensional neural interface.
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