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| OVERVIEW |
| Driven by the desire
to learn more about the developing brain, a great deal of interest
has been focused on applying newly developed methods that allow
assessment of the developing brain. Development studies of normal
children seek to understand growth rates of different anatomical
regions in the brain. By combining genetic data with anatomical
imaging we are attempting to discover the critical time points of
normal maturation in the brain. |
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| CURRENT
RESEARCH |
| New imaging techniques
provide extremely detailed pictures of the living brain, revealing
how it grows and how its function changes though the teenage years.
Before brain imaging was invented, autopsy studies showed that
older children had more of a fatty substance, called myelin, on
their brain cells. Myelin speeds up the electrical transmission
of information between brain cells and is thought to make the
brain more efficient as we go through the teen years. Earlier
studies also revealed a lively growth of connections in the first
two years of life, with a slow elimination of connections thereafter.
Now, imaging technologies let us visualize even more remarkable
changes in the brains of children and teens. Magnetic resonance
imaging (MRI) studies of human brain maturation during the adolescent
years have consistently shown subtle increases in total brain
volume along with regionally variable patterns of reductions in
gray matter volume and increases in total white matter volume.
The spatial and temporal distribution of tissue density changes
has also been mapped revealing a pattern of maturational changes
that is consistent with what would be expected given findings
from postmortem studies of myelination and synaptic
- fMRI
Functional MRI provides us with
information about the location of major brain activity during
a behavior. We have come to understand that that the brain is
a very dynamic place and continues to be so throughout development
and even into adulthood. New synaptic connections continue to
form between neurons throughout life.
- MEG and EEG
The magnetoencephalogram (MEG) and the classical electroencephalogram
(EEG) give the best information about brain activity over time
as well as about connections between cortical regions. The MEG
gives information about brain activity in a way similar to EEG,
indicating the activity of neural networks, but it gives more
information than the EEG about deeper structures. Combining
information from these varied imaging techniques offers a more
complete portrait of brain functioning.
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| RESEARCH
AT LONI |
| Recent in vivo structural
imaging studies have shown spatial and temporal patterns of brain
maturation between childhood, adolescence, and young adulthood that
are generally consistent with postmortem studies of cellular maturational
events such as increased myelination and synaptic pruning. In one
study, we conducted detailed spatial and temporal analyses of growth
and gray matter density at the cortical surface of the brain in
a group of 35 normally developing children, adolescents, and young
adults. To accomplish this, we used high-resolution magnetic resonance
imaging and novel computational image analysis techniques. For the
first time, in this report we have mapped the continued postadolescent
brain growth that occurs primarily in the dorsal aspects of the
frontal lobe bilaterally and in the posterior temporo-occipital
junction bilaterally. |
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| Methods |
Fourteen children (7–11
years of age, 7 boys and 7 girls), 11 adolescents (12–16 years
of age, 6 boys and 5 girls), and 10 young adults (23–30 years
of age, 5 men and 5 women) were studied with MRI. All child and
adolescent subjects were recruited as normal controls for a large,
multidisciplinary neurodevelopmental research center. Age ranges
for the child and adolescent groups were chosen because they correspond
approximately to prepubertal and pubertal status, although no direct
measures of hormonal states were collected. All children and adolescents
were right-handed, and each was screened for neurological impairments
and for any history of learning disability or developmental delay.
The 10 young adult subjects were recruited as normal controls for
neuropsychiatric studies of adult patient populations. These subjects
were all right-handed and were thoroughly screened for medical,
neurological, and psychiatric disorders.
The MRI protocol collected for each subject was a whole-brain, gradient-echo
T1-weighted series collected in the sagittal plane. MR images from
each individual were processed with a series of manual and automated
procedures that included the following
steps:
- automated linear transformation of theimages into a standard
orientation with scaling to remove global differences in head
size allowing assessment of local changes in brain size or tissue
density
- classification of brain images into gray matter, white matter,
and CSF
- removal of nonbrain tissue (i.e., scalp and orbits) and cerebellum
from the transformed images
- automated extraction of the cortical surface for each;
- tracing of 23 sulcal and gyral landmarks in each hemisphere
on the cortical surface rendering of each individual
- estimating gray matter density or local gray matter proportion
over the entire cortical surface of each individual’s
brain;
- estimating relative local brain growth measured at each cortical
surface point [i.e., the radial expansion or distance from the
center (DFC) of the brain near the anterior commissure to each
cortical surface point
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| Results |
In this report,
for the first time we have mapped the spatial distribution of
late brain growth and demonstrated that it does indeed continue
in the frontal and posterior temporal lobes during the postadolescent
years regardless of whether individual differences in global brain
size are controlled. To our surprise, an extraordinary wave of
tissue growth spread through the brain, from front to back, between
the ages of three and 15. Frontal brain circuits, which control
attention, grew fastest from ages three to six. Language systems,
which are further back in the brain, underwent a rapid growth
spurt around the age of 11 to 15, and then drastically shut off
in the early teen years. This language system growth is interesting,
as it corresponds to the end of a period when we are thought to
be most efficient at learning foreign languages.
Interestingly, the anatomical regions within the frontal lobes
where we see the most robust accelerated gray matter density loss
are in precisely the same locations where we see the most robust
continued postadolescent brain growth. Just before puberty, children
lost up to 50 percent of their brain tissue in their deep motor
nuclei. These systems control motor skills such as writing and
sports. This loss moves like a wildfire into the frontal lobes
in late teens. We think it is a sign of rapid remodeling of brain
tissue well into the teens and beyond. The strong correspondence
in the age effects for gray matter density reduction and increased
brain growth in frontal cortex may provide new insight for making
inferences about the cellular processes contributing to postadolescent
brain maturation. Regressive (i.e., synaptic pruning) and progressive
(i.e., myelination) cellular events are known to occur simultaneously
in the brain during childhood, adolescence, and young adulthood,
both of which could result in the appearance of gray matter density
reduction or cortical thinning on MRI. |
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| IN THIS SECTION: |
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