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Large-scale
brain activity from a rhesus monkey was decoded and used to
simultaneously control reaching movements of both arms of a virtual
monkey avatar towards spherical objects in virtual reality. Courtesy of
Duke Center for NeuroengineeringIn a study
led by Duke researchers, monkeys have learned to control the movement of
both arms on an avatar using just their brain activity.
Thu, 11/07/2013 - 11:04am

The findings, published in the journal Science Translational Medicine, advance efforts to develop bilateral movement in brain-controlled prosthetic devices for severely paralyzed patients.
To enable the monkeys to control two virtual arms, researchers
recorded nearly 500 neurons from multiple areas in both cerebral
hemispheres of the animals' brains, the largest number of neurons
recorded and reported to date
Millions of people worldwide suffer from sensory and motor deficits
caused by spinal cord injuries. Researchers are working to develop
tools to help restore their mobility and sense of touch by connecting
their brains with assistive devices. The brain-machine interface
approach, pioneered at the Duke University Center for Neuroengineering
in the early 2000s, holds promise for reaching this goal. However, until
now brain-machine interfaces could only control a single prosthetic
limb.
“Bimanual movements in our daily activities — from typing on a
keyboard to opening a can — are critically important,” says senior
author Miguel Nicolelis, professor of neurobiology at Duke Univ. School
of Medicine. “Future brain-machine interfaces aimed at restoring
mobility in humans will have to incorporate multiple limbs to greatly
benefit severely paralyzed patients.”
Nicolelis and his colleagues studied large-scale cortical
recordings to see if they could provide sufficient signals to
brain-machine interfaces to accurately control bimanual movements.
The monkeys were trained in a virtual environment within which they
viewed realistic avatar arms on a screen and were encouraged to place
their virtual hands on specific targets in a bimanual motor task. The
monkeys first learned to control the avatar arms using a pair of
joysticks, but were able to learn to use just their brain activity to
move both avatar arms without moving their own arms.
As the animals’ performance in controlling both virtual arms
improved over time, the researchers observed widespread plasticity in
cortical areas of their brains. These results suggest that the monkeys’
brains may incorporate the avatar arms into their internal image of
their bodies, a finding recently reported by the same researchers in the
journal Proceedings of the National Academy of Sciences.
The researchers also found that cortical regions showed specific
patterns of neuronal electrical activity during bimanual movements that
differed from the neuronal activity produced for moving each arm
separately.
The study suggests that very large neuronal ensembles — not single
neurons — define the underlying physiological unit of normal motor
functions. Small neuronal samples of the cortex may be insufficient to
control complex motor behaviors using a brain-machine interface.
“When we looked at the properties of individual neurons, or of
whole populations of cortical cells, we noticed that simply summing up
the neuronal activity correlated to movements of the right and left arms
did not allow us to predict what the same individual neurons or
neuronal populations would do when both arms were engaged together in a
bimanual task,” Nicolelis says. “This finding points to an emergent
brain property — a non-linear summation — for when both hands are
engaged at once.”
Nicolelis is incorporating the study’s findings into the Walk Again
Project, an international collaboration working to build a
brain-controlled neuroprosthetic device. The Walk Again Project plans to
demonstrate its first brain-controlled exoskeleton, which is currently
being developed, during the opening ceremony of the 2014 FIFA World Cup.
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