contributed articles
DoI: 10.1145/1941487.1941506
It has been known since the pioneering work of Hans Berger more
than 80 years ago that the brain’s
electrical activity can be recorded
noninvasively through electrodes on
the surface of the scalp. 23 Berger observed that a rhythm of about 10Hz
was prominent on the posterior scalp
and reactive to light. He called it the
alpha rhythm. This and other observations showed the electroencephalogram (EEG) could serve as an index
of the gross state of the brain. Despite
Berger’s careful work many scientists
were initially skeptical, with some
suggesting that the EEG might represent some sort of artifact. However,
subsequent work demonstrated conclusively that the EEG is indeed produced by brain activity. 23
Electrodes on the surface of the
scalp are at some distance from brain
tissue, separated from it by the coverings of the brain, skull, subcutaneous
tissue, and scalp. As a result, the signal
is considerably degraded, and only the
synchronized activity of large numbers
of neural elements can be detected,
limiting the resolution with which
brain activity can be monitored. Moreover, scalp electrodes pick up activity from sources other than the brain,
including environmental noise (such
as 50Hz or 60Hz activity from power
lines) and biological noise (such as activity from the heart, skeletal muscles,
and eyes). Nevertheless, since the time
of Berger, many studies have used the
EEG to gain insight into brain function,
with many of them using averaging to
separate EEG from superimposed electrical noise.
Brain-Computer
Interfaces for
Communication
and Control
BY DennIs J. mCfaRLanD anD Jonathan R. WoLPaW
The brain’s electrical signals enable people
without muscle control to physically interact
with the world.
BraIn aCtIVIty ProDUCes electrical signals detectable
on the scalp, on the cortical surface, or within the
brain. Brain-computer interfaces (BCIs) translate
these signals into outputs that allow users to
communicate without participation of peripheral
nerves and muscles36 (see Figure 1). Because they do
not depend on neuromuscular control, BCIs provide
options for communication and control for people
with devastating neuromuscular disorders (such as
amyotrophic lateral sclerosis, or ALS, brainstem stroke,
cerebral palsy, and spinal cord injury). The central
purpose of BCI research and development is to enable
these users to convey their wishes to caregivers, use
word-processing programs and other software, and even
control a robotic arm or neuroprosthesis. Speculation
has suggested that BCIs could be useful even to people
with lesser, or no, motor impairment.
key insights
Brain-computer interfaces provide a
new communication-and-control option
for individuals for whom conventional
methods are ineffective.
Current BCI technology is slow,
benefiting only those with the most
severe disabilities.
Research may greatly expand the
number of people who would benefit
from the technology.