Heady work

Professor Charles Nelson reassures one of the infants
participating in his lab research.
In a small room in Elliott Hall, a baby—let’s call
her Harriet—coos happily on her father’s lap. She is only five
months old, but already this is Harriet’s second visit to the
University of Minnesota’s Nelson Laboratory, where once again a
researcher will fit her with a hairnet of brightly colored
electrodes to measure how her brain reacts to the things she sees.
On her first visit, she had met a new “face”: a
full-sized woman’s head, realistically sculpted out of silicone,
plastic, and rubber. The family took it home where it sat in the
living room all month. (“We dressed her up as a witch for
Halloween,” Harriet’s mother says.) Today’s tests will help show if
Harriet will respond to pictures of this now-familiar face in the
same way that she does to pictures of, say, her mother.
“We’re interested in how experience influences
brain development —
the effects of adverse biological or psychosocial experiences.”
Harriet’s “early experience” study is just one
example of the College of Education and Human Development’s research
in mapping the human brain—its “neural architecture,” as
Charles
Nelson, the professor who heads up the study, calls it. Faculty
members at the college currently run about 30 studies in brain
research, many in collaboration with other professors and students
across the disciplines. And in the complicated world of
interdisciplinary work, Distinguished McKnight University Professor
Nelson may well have the most complicated schedule of all.
“I’m always teaching, as a guest lecturer or in
seminars, but most of my teaching work is advising,” says Nelson,
who also holds the Lindahl Professorship for Excellence in Teaching
and Learning. “At the college, I’m in charge of a seminar next
summer that cuts across three disciplines.” His appointment at the
University is split 75-25 between the college and the medical school
across the river, where he is a full professor of pediatrics. He
directs the Center for Neurobehavioral Development (CNBD) and runs
the Nelson Lab, which bears his name. “We have projects in Chile,
Romania, Italy, and London. I flew 100,000 miles last year.”

The process for a successful research session in Charles Nelson’s
lab begins with a happy baby. (1) While he’s distracted by the
brightly colored toys, the lab worker lowers the “neural hairnet”
that will keep track of the baby’s brain activity. (2) Having all
those electrodes taped down is a little distracting, but not at all
painful, so a little further distraction (“Upsy baby!”) does the
trick. (3) Finally, secure on mom’s lap, the baby works with Nelson
who shows him pictures—like his mom upside down. Will he be able to
remember that face—even in its odd position?
What ‘normal’ looks like
At the Nelson Lab, and the nearby Institute for
Child Development, Nelson and his colleagues study typically
developing children, drawing from a registry of volunteer parents
and children from the Twin Cities that goes back more than 20 years.
Showing what “normal” looks like in the developing brain helps in
CNBD’s research, where they work with at-risk children—for example,
autistic kids, or children who spent their infancy in orphanages, or
children of diabetic mothers. Memory is Nelson’s specialty, and his
work has shown, for example, a link between prenatal iron
deprivation (common in children whose mothers were diabetic during
the pregnancy) and later impairments in memory.
“We’re interested in how experience influences brain
development—the effects of adverse biological or psychosocial
experiences,” Nelson says. “If you’re put into an institution [like
the orphanages in Romania], that’s deprivation on a grand scale.”
Such a child, with limited past exposure to new faces, may “process”
the faces she sees quite differently from little Harriet, raised
with two middle-class parents in an American household.
Such a child also might have trouble paying
attention, or regulating her emotions.
Megan Gunnar, like Nelson a
Distinguished McKnight Professor of child development, just got
funding for a five-year study of the neurobehavioral development of
children who were adopted internationally by Minnesotans.
“Many [formerly institutionalized] kids don’t show
any problems, even with extremely long periods of deprivation, but
many others are at risk for attention problems, or for sensory motor
problems stemming from long-term institutional care,” Gunnar says.
“They might also have deficits in something called ‘theory of mind,’
the ability to understand
what other people are thinking in common situations.”
Measuring stress in your spit
But Gunnar, like Nelson, also looks at typically
developing children: “what I call ‘Garrison Keillor’ kids,” she
says. In another long-term study, she follows children around to see
how their stress levels change throughout the day. “I’m looking at
the role of social experiences and temperament in how
stress-reactive we are—how they affect our stress-hormone
production,” Gunnar says. A preschooler who stays at home most of
the day typically has a spike in stress hormones in the morning
(“You need a certain amount of stress to deal with what’s coming at
you,” Gunnar says), which then goes down for the rest of the day.
But a child in a day-care center often has a higher measurable
stress-hormone level in the afternoon than in the morning. It’s
Gunnar’s job to find out how much higher and, maybe, why.
How does Gunnar get her stress-hormone samples? If
you’re imagining scary hypodermic needles, relax. “I’m the spit
lady,” Gunnar laughs, explaining that, although this stress hormone
does circulate in the blood, its biologically active part is
secreted in saliva. Children lick a cotton ball that’s been dipped
in sugar crystals. “Most kids like it,” she says.
Over at the Center for Magnetic Resonance Research,
Kathleen Thomas, assistant professor of child psychology, uses a
rather more exotic technique for looking at the hidden recesses of
children’s brains: the magnetic resonance imager, or MRI. Functional
MRI lets her see which part of the brain is involved when the child
is engaged in specific tasks. She is especially interested in an
area deep in the brain called the caudate nucleus, which lights up
(as it were) both when you’re forced to pay attention to something,
and when you’re engaged in what Thomas calls unaware or “implicit”
learning—when, say, you pick up cues or follow a pattern you didn’t
consciously memorize.
Attention and implicit learning
“Very few people have looked at implicit learning in
normally developing
children,” Thomas says. “But we know even less about how that
learning develops in different disorders like ADHD,” attention
deficit hyperactive disorder. Since the caudate nucleus is
compromised in children with ADHD, they have trouble keeping their
attention focused, and Thomas’s preliminary data in one study
suggests that they may have difficulties with implicit learning as
well.
“MRI is one of the few methods, maybe the only
method, for actually seeing the brain and its structure, and how it
changes.” The adults Thomas studies—“we always run our studies
first with adults, then with children,” she says—have a very
different reaction to the MRI scanner than the children. Thomas has
her subjects performing a mental task, like identifying pictures on
a screen, while the functional MRI scans the brain from the narrow
tube the subject is lying in. Adults don’t mind holding still, but
many hate the scanner’s small space. Children, surprisingly, are
almost never claustrophobic. “They like the tunnel,” Thomas says.
“They really like to see pictures of their brain, and they like the
games. But they don’t like to lie still. You put a child with ADHD
into a scanner, and they don’t suddenly become calm.”
But even with this drawback, functional MRI (the
“functional” refers to the fact that, unlike a standard MRI, this
technique shows not just a static picture of your brain, but which
parts of your brain are active during different tasks) returns rich
data. At the Nelson Lab, most of the data is drawn from EEGs
(electroencephalograms), which, as Nelson explains it, show when
something is happening in the brain, but not where. A functional MRI
can show within millimeters exactly what structure in the brain is
engaged during a task, using the fact that mental activity requires
more oxygenated blood. In the MRI, “your oxygenated blood looks
different from your deoxygenated blood,” Thomas says.
What's alarming: fear or neutral?
Thomas is collaborating on Nelson's
diabetic-pregnancy study, examining how the hippocampus functions
when children are having to constantly update their memories (is
that a new picture on the screen, or one they've seen already?). In
another series of studies, she's looking at how the amygdala, a
structure sometimes called the "reptile brain" because its lineage
stretches so far back into human evolution, reacts to different
facial expressions.
"The amygdala seems to be important in determining
what to be afraid of," Thomas says, "but it doesn't work the same
way in children as in adults." In adults, the amygdala shows most
activity when shown a fearful face; one where you can't tell why the
actor might be afraid; in children, interestingly, it responds more
to neutral faces, ones where you can't tell whether the person is
mad or not. Thomas is exploring why neutral faces may be more
important in childhood than in adulthood.
Yet another technique for studying the brain—eye
movements—is the specialty of
Canan Karatekin, associate professor
of child development. “I’m interested in the nature of cognitive
impairments,” she says—studying children and adolescents with either
ADHD or schizophrenia spectrum disorders. Children with these
disorders often have trouble with small-motor skills, but they have
the same ability to move their eyes as their “normal” peers. This
gives Karatekin an advantage.
Making inferences about the brain
“It’s hard to find an intact system, especially in
schizophrenia,” Karatekin says. “Studying eye movements allows me to
make cleaner inferences, since certain types of eye movements have
been linked to certain brain functions.” She will, for instance, ask
a child to look away from an object, then see how long it takes them
to move their eyes.
“We might find that ADHD kids are fine when asked to
look at something, but they have longer reaction times when they are
asked to look away from something,” she says. “I don’t look directly
at the brain, but I make inferences about the brain.”
Her colleague, Tonya White, assistant professor in
pediatric psychiatry, works with the same group using diffusion
tensor imaging, “a kind of MRI that, instead of looking at different
regions of the brain, looks at connectivity—how efficiently
different parts of the brain talk to each other,” Karatekin says.
It is highly unusual for one place like the
University to have so much research focused on brain structures in
children. Nelson estimates that his lab is one of only six around
the world, including his own recently developed Institute for Child
Development in Bucharest, Romania, that does EEGs on babies; Thomas
says that very few do functional MRIs on children, although it is
catching on. “It’s one of the safest medical procedures known,” she
says.
None of this research comes cheap. The EEG nets that
the Nelson Lab uses on children cost nearly $2,000 each and must be
replaced every year; the machine that reads the data they provide
costs $100,000. Nelson estimates that it costs the CNBD $500 per
hour to do MRI testing on a volunteer subject. Even the heads on
which children like Harriet are testing their memory for faces run
$5,000 apiece; Nelson has seven of them in all, each specially made
in Sweden a year and a half ago.
But the potential benefits to children and adults
everywhere are enormous.
The beginning and end of the lifespan

Assistant Professor Kathleen
Thomas gets ready to test brain
function in an MRI machine.
The strides being made by college brain researchers
are among the main reasons underlying the establishment of the
President’s Initiative on Brain Development and Vitality
Across the
Lifespan. It is one of eight initiatives that University of
Minnesota President Robert Bruininks has identified to help set
priorities for the University. The possibilities that current
research has highlighted makes it a field ripe for important
developments.
“MRI is one of the few methods, maybe the only
method, for actually seeing the brain and its structure, and how it
changes,” Thomas says. “It’s exciting to think how we could use it
to, for instance, actually follow children through adolescence.”
Gunnar agrees. Neuroscience is fascinating, she
says, for what it reveals about the connection between early
biological programming and late-onset diseases—such as the so-called
Barker hypothesis that has shown that babies with low birth weight,
if they rapidly gain weight after birth, are more susceptible to
cardiovascular disease when they’re older.
“The beginning and end of the lifespan seem to be
better connected than we thought,” Gunnar says. “The ideology of
what we thought were late-life disorders have their initial
organization in the fetal and early-childhood years.” Many
researchers, for instance, think there’s a link between
early-childhood stress and later cognitive deterioration—not
Alzheimer’s, specifically, but simply memory loss.
The trouble is getting a true picture of a human
lifespan. “Humans tend to live longer than the researchers,” Gunnar
says wryly, “and the National Institutes of Mental Health”—the
source of the grants that fund most of these studies—“tend to fund
things in five-year spans.”
Beyond babies and Mozart
With their investment in students, equipment, and
professors, the college and the University are gathering unique
neurological data—data that professors like Gunnar fervently hope
can eventually inform public policy. “It is sad that we need
concrete evidence, not just behavioral evidence, to inform the
debates about the importance of providing for young children’s
health and well-being,” Gunnar says. “Neither Chuck [Nelson] nor I
are really pointing to much beyond what’s being said from a
behavioral standpoint, but there’s no question that biological
evidence”—like data from an EEG or functional MRI—“just energizes the
discussion. It seems more quantifiable, less murky, even though of
course it’s not.”
Understanding neurobiology seems to be key in
getting lawmakers to fund initiatives that truly help children, and
keep them from spending money on “solutions” that do nothing. As an
example, Gunnar points to the state of Florida’s expensive decision,
a year or so ago, to buy classical tapes for parents of newborns,
“even though no research supports the idea that listening to Mozart
makes babies smart.”
On the other hand, hard data, even on such ordinary
activities as attention and memory, brings us closer to being able
to treat heartbreaking illnesses like schizophrenia and autism.
“Understanding how development works in the brain,
and how it goes wrong, brings us closer to targeting how we might
use interventions in children,” Thomas says. “We might also begin to
understand how the brain learns from experience in a healthy way.”
She pauses.
“That’s just astounding to me: With all the things
that could possibly go wrong in the brain, how often it goes right.”
—Rebecca Ganzel
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