10:30 |
734. |
Study the Cerebral
Wall of the Fetal Brain with DTI and Histology
Hao Huang1,
Linda J. Richards2, Paul Yarowsky3,
Susumu Mori4
1Advanced
Imaging Research Center, University of Texas Southwestern
Medical Center, Dallas, TX, United States; 2Queensland
Brain Institute, University of Queensland, St. Lucia,
Australia; 3Department of Pharmacology and
Experimental Therapeutics, University of Maryland,
Baltimore, MD, United States; 4Department of
Radiology, Johns Hopkins University, Baltimore, MD, United
States
The cerebral wall of the
fetal brain contains multiple layers and undergoes active
structural changes during fetal development. DTI imaging can
clearly identify three layers in the cerebral wall, which
are cortical plate, subplate and inner layer. In this study,
we qualitatively and quantitatively characterized the inner
layer with both DTI and histology and found that radial
structure, rather than the tangential structure of fetal
white matter, is dominant in the inner layer during second
trimester. Fractional anisotropy values in the inner layer
are higher than those in the suplate but lower than those in
the cortical plate. |
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10:42 |
735. |
Developing
Connectivity in Human Fetal Brains: Emerging Regional
Variations
Emi Takahashi1,
Rebecca D. Folkerth2, Rudolph Pienaar1,
Albert M. Galaburda3, P. Ellen Grant1,4
1Department
of Medicine, Children's Hospital Boston, Harvard Medical
School, Boston, MA, United States; 2Department of
Pathology, Children's Hospital Boston, Boston, MA, United
States; 3Department
of Neurology, Beth Israel Deaconess Hospital, Harvard
Medical School, Boston, MA, United States; 4Department of Radiology,
Massachusetts General Hospital, Boston, MA, United States
Examination of the
three-dimensional axonal pathways in the developing brain is
key to understanding the formation of cerebral connectivity.
Using high-angular resolution imaging (HARDI) tractography,
we imaged developing cerebral fiber pathways in human fetal
specimens ranged from 18 to 33 post-gestational weeks (W).
We observed dominant radial pathways at 18-20W, and at later
stages, emergence of short- and long-range cortico-cortical
association pathways, subcortical U-fibers in specific brain
regions. Although radial pathways still remained, they were
less dominant at 33W. These results demonstrate that HARDI
tractography can detect radial migration and emerging
regional specification of connectivity during fetal
development. |
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10:54 |
736. |
Cortical Folding
Analysis for Normal Fetuses
Jue Wu1,
Suyash P. Awate2, Daniel Licht3,
Catherine Limperopoulos4, James C. Gee1
1Department
of Radiology, University of Pennsylvania, Philadelphia, PA,
United States; 2Siemens Corporate Research,
Princeton, NJ, United States; 3Children's
Hospital of Philadelphia, Philadelphia, PA, United States;
4Mcgill University, Montreal, Quebec, Canada
Eight cortical folding
measures were applied to T2w in vivo MRIs of 40 normal
fetuses with varied gestational ages. Correlations of these
measures with gestational age are reported and Gaussian
curvature L2 norm and intrinsic curvature index are the two
most correlated measures. These measures may be help in
characterization of normal neurodevelopment and in detection
of abnormal brain growth in fetuses. |
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11:06 |
737. |
3D Fetal Brain
Volumetry in Intrauterine Growth Restriction
Mellisa Damodaram1,2,
Lisa Story1,2, Prachi Patkee1,
Abhilasha Patel1,2, Amy McGuinness1,
Joanna Allsop1, Sailesh Kumar, 2, Jo
Hajnal1, Mary Rutherford1
1Robert
Steiner MRI Unit, Hammersmith Hospital, Imperial College
London, London, United Kingdom; 2Imperial College
Healthcare Trust, London, United Kingdom
Fetal intrauterine growth
restriction is a significant problem that often results in
iatrogenic premature delivery of the fetus. These children
may have neurodevelopmental delay and exhibit problems that
cannot be explained by the complications of prematurity
alone. Little is known about the exact neurostructural
deficiencies that arise as a result of intrauterine growth
restriction, and MR studies have been limited by
difficulties overcoming the inherent problem of fetal
motion. We describe a technique to conduct 3D
reconstruction of the fetal brain that enables volumetric
analysis of the whole brain and cerebellum in both normally
grown and growth restricted fetuses. |
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11:18 |
738. |
Development of
Multi-Contrast Human Neonatal Brain Atlas
Kenichi Oishi1,
Pamela Donahue2, Lynn Anderson3,
Steven Buchthal3, Thomas Ernst3,
Andreia Faria1, Hangyi Jiang1,4, Xin
Li4, Michael Miller5, Peter van Zijl1,4,
Susumu Mori1,4, Linda Chang3
1Department of
Radiology and Radiological Science, Johns Hopkins University
School of Medicine, Baltimore, MD, United States;
2Department of Pediatrics, Johns Hopkins
University School of Medicine, Baltimore, MD, United States; 3Neuroscience and
Magnetic Resonance Research Program, John A. Burns School of
Medicine, University of Hawai'i, Honolulu, HI, United States; 4F.M. Kirby Research Center
for Functional Brain Imaging, Kennedy Krieger Institute,
Baltimore, MD, United States;
5Department of Biomedical Engineering, Johns
Hopkins University, Baltimore, MD, United States
We have developed neonatal
brain atlases with detailed anatomic information derived
from DTI and co-registered anatomical MRI. Combined with a
highly elastic non-linear transformation, we attempted to
normalize neonatal brain images to the atlas space and
three-dimensionally parcellate the images into 122 brain
structures. The accuracy level of the normalization was
measured by the agreement with manual segmentation. This
method was applied to 33 healthy term infants, ranging from
37 to 53 weeks of age since conception, to characterize
developmental changes. The future applications for this
atlas include investigations of the effect of prenatal
events and the determination of imaging biomarkers. |
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11:30 |
739. |
Comparison of
Cortical Folding Measures for Evaluation of Developing
Cortex
Joshua S. Shimony1,
Jason Hill1, John Harwell1, Tim
Coalson1, Dierker Donna1, Terrie Inder1,
David Van Essen1, Jeff J. Neil1
1Washington
University in St. Louis, St. Louis, MO, United States
A variety of measures have
been proposed to evaluate cortical folding, many of which
are based on the mathematical quantity of curvature. We
obtained MRI data from premature infants at <27, 30-31,
34-35, and 38-39 wks postmenstrual age (PMA). We evaluated
how 17 cortical folding measures change with increasing PMA.
There was considerable disparity in the sensitivity of the
measures to cortical maturation, though a subset increased
in a monotonic and predictable fashion, making them suitable
for evaluation of brain development. |
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11:42 |
740. |
Quantification of
Tissues’ Maturation in the Infant Brain with
Multi-Parametric MRI
Jessica Dubois1,2,
Cyril Poupon3,4, François Leroy1,4,
Giovanna Santoro1, Jean-François Mangin3,4,
Lucie Hertz-Pannier2,5, Ghislaine
Dehaene-Lambertz1,4
1U562,
Inserm, Gif-sur-Yvette, France; 2LBIOM, CEA, Gif-sur-Yvette,
France; 3LNAO, CEA, Gif-sur-Yvette, France;
4IFR49, Paris, France; 5U663, Inserm,
Paris, France
Brain development proceeds
with a specific spatio-temporal pattern across regions
during early infancy and childhood. MRI has recently enabled
to study this process non-invasively, but the functional
significance of MRI indices is still controversial. Here we
used multi-parametric quantitative MRI to investigate this
issue in the developing brain of 10 healthy infants (age: 6
to 18weeks). Diffusion Tensor Imaging and T1-T2 mappings
were performed over the whole brain in a short acquisition
time with EPI sequences. The indices quantification
highlighted variable age-related changes across different
regions of grey and white matter, and specific relationships
between indices according to maturational processes. |
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11:54 |
741. |
Gestational Age at
Birth Influences Brain White Matter Development
L. Tugan Muftuler1,
Claudia Buss2, Orhan Nalcioglu1, Curt
A. Sandman2, Elysia Poggi Davis2
1Center
for Functional Onco-Imaging, University of California,
Irvine, CA, United States; 2Psychiatry & Human
Behavior, University of California, Orange, CA, United
States
In the fetal brain, there is
minimal myelinated WM at 29 weeks and a dramatic increase is
seen after the 36th week. Therefore, this is a period when
the brain development is highly vulnerable to insults caused
by premature birth. Prior studies have investigated the mean
differences between preterm and term children. But the fetal
brain development is a continuous process and gestational
age at birth will disrupt the process in different phases.
Therefore, we studied the persisting effects of GAB on the
WM of children. The results show that major WM pathways are
strongly influenced by the GAB.
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12:06 |
742. |
Differences in
Biochemical Maturation in Term and Preterm Newborns
Ashok Panigrahy1,2,
Marvin D. Nelson1, Floyd H. Gilles3,
Lisa Paquette4, Istvan Seri4, Stefan
Bluml1,5
1Department
of Radiology, Children's Hospital Los Angeles, Los Angeles,
CA, United States; 2Department of Radiology,
Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA,
United States; 3Department of Neuropathology,
Children's Hospital Los Angeles, Los Angeles, CA, United
States; 4Division of Neonatology, Children's
Hospital Los Angeles, Los Angeles, CA, United States; 5Rudi
Schulte Research Institute, Santa Barbara, CA, United States
In this study, we compare
age-dependent changes of metabolites using quantitative MR
spectroscopy in white and grey matter of premature neonates
without brain injury with normal biochemical maturation in
age-matched term neonates. There are subtle but significant
differences in the biochemical maturation of white matter in
premature infants with normal conventional MR imaging when
compared to control term infants. The observations suggest
accelerated white matter development in the premature brain
possibly from increased sensory-motor stimulation in the
extra-uterine environment or possibly a reparative response
to subtle brain injury (i.e. possibly related to sepsis
induced white matter injury).
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12:18 |
743. |
The
Functional-Structural Interplay During First Two Years'
Brain Development
Wei Gao1,
Pew-Thian Yap2, Hongtu Zhu3, Kelly
Giovanello4, Keith Smith2, John
Gilmore5, Weili Lin6
1Biomedical
Engineering, UNC-Chapel Hill, Chapel Hill, NC, United
States; 2Radiology, University of North
Carolina-Chapel Hill, Chapel Hill, NC, United States; 3Biostatistics and
Biomedical Research Imaging Center, University of North
Carolina-Chapel Hill, Chapel Hill, NC, United States; 4Psychology and Biomedical
Research Imaging Center, University of North Carolina-Chapel
Hill, Chapel Hill, NC, United States; 5Psychiatry, University of North
Carolina-Chapel Hill, Chapel Hill, NC, United States; 6Radiology and Biomedical
Research Imaging Center, University of North Carolina-Chapel
Hill, Chapel Hill, NC, United States
In this study, normal and
healthy pediatric subjects aged between 2wk to 2 yrs were
studied so as to directly compare the temporal evolution of
brain functional and structural connectivity. In so doing,
we aim to determine the temporal correlation between
functional and structural connectivity during the first two
years of life and to reveal whether or not maturation of
structural connectivity is needed for functional
connectivity.
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