Stroke disrupts how brain controls
muscle synergies
Distinctive patterns could allow doctors to develop better rehab
programs for stroke patients.
DEEPAK KUMAR, MIT News
Office
August 20, 2012
August 20, 2012
The simple act of
picking up a pencil requires the coordination of dozens of muscles: The eyes
and head must turn toward the object as the hand reaches forward and the
fingers grasp it. To make this job more manageable, the brain’s motor cortex
has implemented a system of shortcuts. Instead of controlling each muscle
independently, the cortex is believed to activate muscles in groups, known as
“muscle synergies.” These synergies can be combined in different ways to
achieve a wide range of movements.
A new study from MIT,
Harvard Medical School and the San Camillo Hospital in Venice finds that after
a stroke, these muscle synergies are activated in altered ways. Furthermore,
those disruptions follow specific patterns depending on the severity of the
stroke and the amount of time that has passed since the stroke.
The findings,
published this week in the Proceedings of the National Academy of Sciences,
could lead to improved rehabilitation for stroke patients, as well as a better
understanding of how the motor cortex coordinates movements, says Emilio Bizzi,
an Institute Professor at MIT and senior author of the paper.
“The cortex is
responsible for motor learning and for controlling movement, so we want to
understand what’s going on there,” says Bizzi, who is a member of the McGovern
Institute for Brain Research at MIT. “How does the cortex translate an idea to
move into a series of commands to accomplish a task?”
Coordinated control
One way to explore
motor cortical functions is to study how motor patterns are disrupted in stroke
patients who suffered damage to the motor areas.
In 2009, Bizzi and his
colleagues first identified muscle synergies in the arms of people who had
suffered mild strokes by measuring electrical activity in each muscle as the
patients moved. Then, by utilizing a specially designed factorization
algorithm, the researchers identified characteristic muscle synergies in both
the stroke-affected and unaffected arms.
“To control,
precisely, each muscle needed for the task would be very hard. What we have
proven is that the central nervous system, when it programs the movement, makes
use of these modules,” Bizzi says. “Instead of activating simultaneously 50
muscles for a single action, you will combine a few synergies to achieve that
goal.”
In the 2009 study, and
again in the new paper, the researchers showed that synergies in the affected
arms of patients who suffered mild strokes in the cortex are very similar to
those seen in their unaffected arms even though the muscle activation patterns
are different. This shows that muscle synergies are structured within the
spinal cord, and that cortical stroke alters the ability of the brain to
activate these synergies in the appropriate combinations.
However, the new study
found a much different pattern in patients who suffered more severe strokes. In
those patients, synergies in the affected arm merged to form a smaller number
of larger synergies. And in a third group of patients, who had suffered their
stroke many years earlier, the muscle synergies of the affected arm split into
fragments of the synergies seen in the unaffected arm.
This phenomenon, known
as fractionation, does not restore the synergies to what they would have looked
like before the stroke. “These fractionations appear to be something totally
new,” says Vincent Cheung, a research scientist at the McGovern Institute and
lead author of the new PNAS paper. “The conjecture would be that these
fragments could be a way that the nervous system tries to adapt to the injury,
but we have to do further studies to confirm that.”
This is the first time
that fractionation of muscle synergies identified by factorization has been
seen in chronic stroke patients, says Simon Giszter, a professor of
neurobiology and anatomy at Drexel University. “It raises the question of how
this occurs and if it’s a compensatory process. If it is, we can use this
measurement to study how the recovery process can be accelerated,” says
Giszter, who was not involved in this study.
Toward better
rehabilitation
The researchers
believe that these patterns of synergies, which are determined by both the
severity of the deficit and the time since the stroke occurred, could be used
as markers to more fully describe individual patients’ impaired status. “In
some of the patients, we see a mixture of these patterns. So you can have
severe but chronic patients, for instance, who show both merging and
fractionation,” Cheung says.
The findings could
also help doctors design better rehabilitation programs. The MIT team is now
working with several hospitals to establish new therapeutic protocols based on
the discovered markers.
About 700,000 people
suffer strokes in the United States every year, and many different
rehabilitation programs exist to treat them. Choosing one is currently more of
an art than a science, Bizzi says. “There is a great deal of need to sharpen
current procedures for rehabilitation by turning to principles derived from the
most advanced brain research,” he says. “It is very likely that different
strategies of rehabilitation will have to be used in patients who have one type
of marker versus another.”
The research was
funded by the National Institutes of Health and the Italian Ministry of Health.