group has found ways to space the electrodes on a grid to optimize the signals
from the neurons for more precise movement. Together with Justin Williams at
the University of Wisconsin–Madison,
Moran built a small electrode array to fit
over the brain’s sensorimotor cortex, a
region concerned both with movement
and the perception of outside stimuli.
Jasper, one of three monkeys in Moran’s
lab, is now using the new array to play
video games and reach for and grasp virtual objects on a computer screen, all
without moving a muscle.
This summer, the researchers will get
their first look at how the device performs in human patients who need it. A
thin, flexible grid will be implanted under
the skull of a paralyzed patient at the
University of Pittsburgh. Researchers
will train the patient to use mind control
to carry out movements on a computer
screen. Over the next three years, as
improvements are made to the device,
future patients may be able to perform
more complicated tasks and control a
simple robotic arm. Moran says his goal
is to develop an implantable device that
will last years — up to 10 — making the
choice to have the surgery practical.
“What we need is a type of implant
that will be 95 to 99 percent effective
and that is going to last for a decade,”
he says.
s.m. Chase ET AL/JOURNAL OF NEUROSCIENCE 2010
While some scientists doubt that
ECoG signals can provide enough information for fine movements, such as turning a key in a lock, others are working to
attain more detailed information from
the signals. Last year, biomedical engineer Soumyadipta Acharya of Johns
Hopkins University in Baltimore and
his team decoded signals for predicting
the movement of individual fingers as
they flexed and extended. The findings,
published in the August 2010 Journal of
Neural Engineering, show that ECoG,
with some refinements, can probably
provide the dexterity needed to operate a
switch or turn a doorknob, Acharya says.
A feel for the future
As paralyzed patients learn to use
robotic arms to reach for their morning
Cursor control Patients moving a cursor
with their minds can’t always keep it directly
on target. The colored lines above show actual
cursor paths taken to an intended target
(corresponding color). scientists are finding
ways to account for the differences between
intent and actual movement.
coffee, the question becomes, how
exactly do they hold onto the cup? While
a Styrofoam cup will crumble under a
clenching grip, a cup of any kind will slip
from a loose one.
“For prosthetics, the better we get at
moving arms out to things, the more we
need to work on the sensors to allow us
to feel those things,” Shenoy says.
Feeling requires the ability to turn
the system around and put signals back
into the brain. Some investigators have
tried putting small amounts of electric
current into the system. Shenoy says
the problem with that approach is that
sending electricity into the brain activates many cells at once, rather than a
target cell.
“Putting electric current into the
brain is like going into a classroom
where each student in the classroom is
a different neuron, and shouting loudly
when you wanted to speak to only one
student,” he says.
Working with Karl Deisseroth of Stan-
ford, Shenoy is using an approach called
optogenetics to put light-sensitive pro-
teins into target neurons in monkeys
(SN: 1/30/10, p. 18). When sensors at the
end of a prosthetic hand make contact
with a coffee mug, a signal would cause
light sources to shine on those neurons.
Though the light bathes many neurons,
only the neurons that have been tagged
would respond.
Explore more
s m. Nicolelis. Beyond Boundaries:
The New Neuroscience of Connecting
Brains with Machines — and How it
Will Change Our Lives. Times Books,
2011.