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What's
New:
Brain's
control network splits in two as children approach adulthood
By
Michael Purdy
Aug.
1, 2007 -- Two recently discovered control networks
that govern voluntary brain activity in adults start
life as a single network in children, report neuroscientists
at Washington University School of Medicine in St. Louis.
Researchers
previously showed the networks supervise most goal-oriented
brain activity, enlisting the specialized talents of
multiple brain regions for goal-oriented tasks as diverse
as reading a word, listening to music or searching for
a star. They were surprised to find the two networks
merged together in children. "This has important
implications not only for our thinking about how the
architecture of the brain develops, but also for how
that same structure breaks down in aging, disease and
injury," says senior author Bradley L. Schlaggar,
M.D., Ph.D., assistant professor of pediatrics, radiology,
neurology and neurobiology and anatomy.
The
results appear in the Proceedings of the National Academy
of Sciences. Neuroscientists have spent much
of the past few decades pinning brain functions to small
brain areas or collaborations between a few of those
areas. But scientists have sometimes found it difficult
to use this approach to predict how injuries to a given
area of the brain will affect a patient's cognitive
abilities. "We're optimistic that answers
to these problems and other important questions may
lie in a more network-oriented approach that analyzes
how several different brain regions regularly work with
each other, exchanging data, directives and feedback,"
says coauthor Steven Petersen, Ph.D., the James McDonnell
Professor of Cognitive Neuroscience and professor of
neurology and psychology.
In
June, Petersen and colleagues at Washington University
announced that they had identified two control networks
that seem to be in charge of much higher brain function
(http://mednews.wustl.edu/news/page/normal/9639.html).
The two networks do not consult with each other but
still work toward a common purpose: control of voluntary,
goal-oriented behavior. This likely does not include
involuntary behaviors such as control of the pulse rate
or digestion. One control network, dubbed the
cinguloopercular network, is the "stable, sustaining"
network, likely to be active during prolonged mental
activities, such as reading a text. In contrast, the
frontoparietal network is a "more online, rapid-adapting
controller," whose active periods include times
when the brain recognizes an error and changes its approach
to a problem.
Scientists
used a new brain scanning technique called resting state
functional connectivity MRI to identify the control
networks. Instead of analyzing mental activity when
a volunteer works on a cognitive task, the new technique
scans their brains while they do nothing. The scans
reveal changes in the levels of oxygen in blood flowing
to different areas of the brain. Researchers interpret
correlations in the rise and fall of blood oxygen to
different brain areas during inactivity as a sign that
those areas likely work together. In neuroscientist's
terms, this means the regions have functional connectivity.
A
team of researchers led by Petersen and M.D./Ph.D. student
Nico Dosenbach analyzed scans of volunteers with an
approach called graph theory. They represented various
brain regions of interest as shapes, and when two regions
met a threshold for functional connectivity, they drew
a line between them. The two control networks were distinctly
separate even when the connectivity threshold was set
to a low level. For the new study, scientists
used the same techniques to analyze the brains of 210
children, adolescents and adults. They found the two
control networks are merged in children but begin pulling
apart in adolescents, establishing themselves as separate
entities and becoming more complex.
The
prominent changes add another layer of intricacy to
the challenge of predicting how brain injuries will
affect patients. "These networking changes
mean a lesion in the same place in the brain could have
different consequences depending on when it occurs,"
Schlaggar says.
Researchers
also found a key component of the sustaining network
in adults was closely linked in children to regions
that eventually make up the heart of the adaptive network.
"We expected to find some differences in
terms of these networks not being fully mature, but
a complete switch of allegiance was not something our
field would have predicted and is quite provocative,"
says Petersen.
Given
the notoriously short attention span of children, the
fact that the core of the sustaining network is stuck
in the middle of the adaptive network in kids provides
tempting fodder for supposition, according to lead author
Damien Fair, a graduate student. "This is
pure speculation, but it could be that this region that
forms the heart of the sustaining network is in training
for its eventual role in sustaining activities in the
adult brain," he says. "It also could be that
the sustaining network is just less well-developed in
children." Fair notes that an interesting
pattern emerged as scientists looked at their data from
a big picture perspective. "As we get older,
connections that are getting weaker tend to be between
brain regions located close to each other, while the
connections that are getting stronger tend be those
between regions that are far apart," he says.
The strengthening of long-range connections may be how
the newly established control networks integrate themselves
into other brain regions and networks, Petersen says.
Scientists
are currently looking to see if other brain regions
are part of the control networks. They also plan follow-up
studies of the brains of patients with Tourette's syndrome
and attention-deficit hyperactivity disorder to learn
if their control networks are impaired.
Fair
DA, Dosenbach NUF, Church JA, Cohen AL, Brahmbhatt S,
Miezin FM, Barch DM, Raichle ME, Petersen SE, Schlaggar
BL. Development of distinct control networks through
segregation and integration. Proceedings of the National
Academy of the Sciences, early online edition.
The
National Institutes of Health, the John Merck Scholars
Fund, the Burroughs-Wellcome Fund, the Dana Foundation,
the Ogle Family Fund, the Washington University Chancellor's
Graduate Fellowship and the United Negro College Fund/Merck
Graduate Science Research Dissertation Fellowship supported
this research.
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