Wireless brain sensor could unchain neuroscience from cables

Wireless brain sensor could unchain neuroscience from cables
The head-mounted, 100-channel transmitter is only 5 centimeters in its largest dimension and weighs only 46.1 grams, but can transmit data up to 200 megabits a second. Credit: Nurmikko Lab/Brown University

In a study in the journal Neuron, scientists describe a new high data-rate, low-power wireless brain sensor. The technology is designed to enable neuroscience research that cannot be accomplished with current sensors that tether subjects with cabled connections.

Experiments in the paper confirm that new capability. The results show that the transmitted rich, neuroscientifically meaningful signals from animal models as they slept and woke or exercised.

"We view this as a platform device for tapping into the richness of electrical signals from the among animal models where their neural circuit activity reflects entirely volitional and naturalistic behavior, not constrained to particular space," said Arto Nurmikko, professor of engineering affiliated with the Brown Institute for Brain Science and the paper's senior and corresponding author. "This enables new types of neuroscience experiments with vast amounts of brain data wirelessly and continuously streamed from brain microcircuits."

The custom-engineered neuroelectronic platform is composed of two elements: a 100-channel transmitter only 5 centimeters in its largest dimension and weighing only 46.1 grams, and a four-antenna receiver that looks like a home Wi-Fi router but employs sophisticated signal processing to maximize the transmitter's signal while the subject is moving around. Via a small port embedded in a subject's skull, the transmitter connects to a tiny implanted electrode array that detects the activity of scores of neurons in the cortex. The is compatible with multiple types and classes of brain sensors, Nurmikko said, with a view toward future sensor development

"Among the unique features of our technology is that we developed this compact lightweight neurosensor with a custom-designed low-power high-efficiency transmitter," said paper lead author Ming Yin, a research engineer in Nurmikko's lab at Brown at the time of the work. "It dissipates two magnitudes less power than commercial 802.11n transceivers to broadcast a comparable rate of high-speed data - up to 200 megabits per second - within a few meters distance. The low power and small size, along with built-in electrostatic discharge protection features, make our device safer and more practical for mobile subjects."

In the study the team demonstrated that the transmitter can run continuously for more than 48 hours on a single rechargeable AA battery as it relays a high rate of data directly from the brain.

"The brain sensor is opening unprecedented opportunities for the development of neuroprosthetic treatments in natural and unconstrained environments," said study co-author Grégoire Courtine, a professor at EPFL (École polytechnique fédérale de Lausanne), who collaborated with Nurmikko's group on the research.

Behavioral Demonstrations

Courtine and co-lead author David Borton helped to lead experiments testing whether the system could match the performance of the common wired systems. They, with colleagues at Brown and the Bordeaux Institute of Neuroscience, also applied it in two behavioral tasks to ensure that it relayed scientifically interesting neural patterns. The experiments employed a platform developed by the European Project NeuWalk, which is supported by a €9-million investment from European Union.

In one experiment, three rhesus macaques took walks on a treadmill while the researchers used the wireless system to measure neural signals associated with the brain's motion commands. Meanwhile they used other sensors to measure the activity of leg muscles. The data from the brain showed clear patterns of activity related to the movements of the muscles, demonstrating that the sensor allows for studies of how the brain controls the legs.

"In this study, we were able to observe motor cortical dynamics during locomotion, yielding insight into how the brain computes output commands sent to the legs to control walking," said Borton, now assistant professor of engineering at Brown.

In another experiment, the Brown and EPFL researchers used the technology to observe brain signals for hours on end as the animal subjects went through sleep/wake cycles, unencumbered by cables or wires. Again the data showed distinct patterns related to the different stages of consciousness and the transitions between them.

"We hope that the wireless neurosensor will change the canonical paradigm of , enabling scientists to explore the nervous system within its natural context and without the use of tethering cables," Borton said. "Subjects are free to roam, forage, sleep, etc., all while the researchers are observing the brain activity. We are very excited to see how the neuroscience community leverages this platform."

In 2013, Yin, Borton, and Nurmikko unveiled a related, implantable wireless brain sensor with a different design. Whereas the new head-mounted sensor is intended for research use by the wider community, Nurmikko said, the researchers hope that wireless brain sensor technology will be useful in clinical research as well in the coming years.

Blackrock Microsystems Inc. of Utah, where Yin is now also an engineer, has licensed the technology described in the new Neuron study from Brown University for commercial development.


Explore further

Team unveils novel wireless brain sensor

Journal information: Neuron

Provided by Brown University
Citation: Wireless brain sensor could unchain neuroscience from cables (2014, December 4) retrieved 9 April 2020 from https://medicalxpress.com/news/2014-12-wireless-brain-sensor-unchain-neuroscience.html
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only.
 shares

Feedback to editors

User comments