10:30 |
0794. |
Diffeomorphic Construction
of a Normative Spatiotemporal Fetal Brain MRI Template
Ali Gholipour1, Catherine Limperopoulos2,
Cedric Clouchoux2, Alireza Akhondi-Asl1,
Judy A. Estroff1, and Simon K. Warfield1
1Department of Radiology, Boston Children's
Hospital and Harvard Medical School, Boston, MA, United
States, 2Children's
National Medical Center, Washington, DC, United States
The MRI study of the developing brain is challenged by
the difficulty of scanning neonates and fetuses, and the
rapid changes in the brain anatomy. The recent advances
in volumetric fetal brain MRI have enabled the
construction of spatiotemporal templates. The anatomic
variations are encoded by probability maps in
probabilistic templates, but are encoded in the
deformation fields in deformable templates. While the
recent work has focused on probabilistic spatiotemporal
template construction to characterize normal fetal brain
development, this work has focused on deformable
spatiotemporal template construction; and suggests
kernel regression integrated with symmetric
normalization for diffeomorphic spatiotempral template
construction.
|
10:42 |
0795. |
Brain Development in
Preterm and Term Neonates Assessed by White Matter Model of
Diffusion Kurtosis Imaging with Tract-Based Spatial
Statistics Analysis
(video unavailable)
Xianjun Li1,2, Jie Gao1, Yumiao
Zhang1, Xue Luo1,2, Jianghong Han1,
Gang Niu1, Mingxi Wan2, Ed X. Wu3,
and Jian Yang1,2
1Department of Radiology, The First
Affiliated Hospital of Medical College, Xi'an Jiaotong
University, Xi'an, Shaanxi, China, 2Department
of Biomedical Engineering, School of Life Science and
Technology, Xi'an Jiaotong University, Xi'an, Shaanxi,
China, 3Laboratory
of Biomedical Imaging and Signal Processing, The
University of Hong Kong, Hong Kong, Hong Kong SAR, China
The purpose of this study was to investigate the white
matter changes of diffusion parameters derived from
white matter model of diffusion kurtosis imaging (DKI)
in preterm and term neonates using tract-based spatial
statistics (TBSS) analysis. In this study, 38 neonates
with postmenstrual ages of 33 to 42 weeks were studied,
including 19 preterm neonates and 19 term neonates. The
results showed that significant increase of intra-axonal
diffusivity without significant changes of axial
diffusivity in extra-axonal space and radial diffusivity
in extra-axonal space in genu of corpus callosum and
body of corpus callosum, reflecting the increase of the
alignment, caliber and number of axons. In posterior
limb of internal capsule and splenium of corpus
callosum, increased diffusion kurtosis or restriction
were accompanied by the reduced diffusivity in radial
direction. Such diffusivity and kurtosis analysis can be
valuable to our understanding the white matter changes
in intra-axon and extra-axon space during early
development.
|
10:54 |
0796. |
Brain Microstructure
Assessed by CHARMED and NODDI in the Newborn
Nicolas Kunz1, Hui Zhang2, Yaniv
Assaf3, François Lazeyras4, Daniel
Alexander2, and Petra Susan Hüppi1,5
1Pediatrics, University of Geneva, Geneva,
Switzerland, 2Computer
Science, University College London, London, United
Kingdom, 3Neurobiology,
Tel Aviv University, Tel Aviv, Israel, 4Radiology-CIBM,
Geneva University Hospitals, Geneva, Switzerland, 5Department
of Neurology, Childrens Hospital, Geneva, Switzerland
Diffusion tensor imaging (DTI), may be the only feasible
technique to study micorstructural changes occurring
during the brain development. The main aims of this
study was to design a complete new pipeline to perform
micro-structural diffusion analysis in neonatal brain
and to compare DTI to CHARMED and NODDI, which provides
new microstructural metrics such as the intra-axonal
volume fraction (VFia). High quality subject template
was generated using DTI-TK tensor registration tools,
which allows the accurate definitions of 13 ROIs. FA and
VFia were able to depict fine mircostructural
differences in early maturation fiber tracts.
|
11:06 |
0797. |
High B-Value HARDI Analysis
in Neonates Scanned at Term-Equivalent Age Reveals
Correlation Between Apparent White Matter Fibre Density and
Immaturity at Birth
Jacques-Donald Tournier1,2, Serena J.
Counsell3, David A. Raffelt1, Nora
Tusor4, Phumza Nongena4, A. David
Edwards3, Joseph V. Hajnal3, and
Alan Connelly1,2
1Advanced MRI development, The Florey
Institute of Neuroscience and Mental Health, Melbourne,
Victoria, Australia, 2Department
of Medicine, University of Melbourne, Melbourne,
Victoria, Australia, 3Centre
for the Developing Brain, King's College London, London,
London, United Kingdom,4Department of
Medicine (Paediatrics), Imperial College London, London,
London, United Kingdom
Preterm birth is associated with poor neurodevelopmental
performance, and diffuse white matter injury is
frequently observed. In this study, we investigate the
effect of gestational age at birth on a new
direction-specific measure, the apparent fibre density (AFD),
using a high b-value, high angular resolution diffusion
imaging (HARDI) acquisition. 31 neonates were scanned at
term, and the AFD correlated with gestational age,
regressing out post-menstrual age at scan. Significant
correlations were observed bilaterally in most major
white matter tracts, consistent with previous DTI
findings. AFD allows the identification of
direction-specific changes, making interpretation of
results more straightforward than using scalar measures.
|
11:18 |
0798.
|
The Effect of Preterm Birth
on Cortico-Cortical Connectivity: The Preterm Connectome
Kerstin Pannek1, Xanthy Hatzigeorgiou2,
Paul Colditz3, and Stephen Rose4
1The University of Queensland, Brisbane,
Queensland, Australia, 2Novita
Children's Services, Adelaide, Australia, 3The
University of Queensland, Brisbane, Australia, 4The
Australian E-Health Research Centre, CSIRO, Brisbane,
Australia
Preterm birth is associated with a high prevalence of
adverse neurodevelopmental outcome. We used diffusion
MRI and T2 relaxometry to assess alterations in cortico-cortical
connectivity in the preterm brain at term equivalent
age. Cortical networks associated with affected
connections mainly involved left frontal and motor
cortical areas. Identified cortical regions are
associated with higher cognitive function, working
memory, language production, verbal comprehension,
executive function and motor function, deficits in which
are often observed in children and adults born preterm.
|
11:30 |
0799.
|
Thalamic Parcellation Based
on Probabilistic Neocortical Connections in a Neonatal
Population
Katyucia de Macedo Rodrigues1,2, Emma Ben-Avi2,
Myong-Sun Choe3, Marie Drottar3,
Patricia Ellen Grant2,4, and Lilla Zöllei2,3
1Radiology, Boston Children's Hospital,
Boston, MA, United States, 2Radiology,
A.A. Martinos Center for Biomedical
Imaging/Massachusetts General Hospital, Charlestown, MA,
United States, 3Newborn
Medicine, Boston Children's Hospital, Boston, MA, United
States, 4Newborn
Medicine, Radiology, Boston Children's Hospital, Boston,
MA, United States
The importance of the thalamus on motor, somatosensory
and cognitive functions is well recognized. The study of
the thalamic structure with its nuclear subdivisions in
the pediatric population could shed a light on thalamic
development and changes secondary to pathological
states. In this study, we demonstrate the feasibility of
thalamic parcellation in clusters that have an
anatomical and functional correspondence to known
thalamic nuclei in a neonatal population. This
parcellation is derived from thalamic connections to
predefined neocortical targets observed using
probabilistic diffusion tractography.
|
11:42 |
0800. |
Coherent Cortical Pruning
and Axonal Integrity Enhancement During Brain Development
Accessed by DTI Tractography from Parcellated Cortex
Tina Jeon1, Virendra Mishra1, and
Hao Huang1
1Advanced Imaging Research Center, University
of Texas Southwestern Medical Center, Dallas, TX, United
States
Cortical thinning during brain development is due to
complicated cellular and molecular processes including
synaptic pruning, apoptosis and cell shrinkage during
development. In parallel, association and commissural
white matter tracts project from a group of selected and
preserved neurons and connect certain cortical regions.
These parallel processes are essential for the formation
of the brain circuits which enable certain brain
functions, especially those related to mental disorders.
In this study, we investigated the relationship of the
change of fractional anisotropy of these axons and
change of the corresponding cortical thickness with DTI
and T1-weighted images from 39 normal children.
|
11:54 |
0801.
|
Typical Patterns of Myelin
Neurodevelopment and Cognitive Abilities in Babies and
Toddlers
Jonathan O'Muircheartaigh1,2, Douglas C. Dean
III1, Holly Dirks1, Nicole
Waskiewicz1, Katie Lehman1,
Michelle Han1, Lindsay Walker1,
Beth A. Jerskey1, and Sean C. L. Deoni1
1Engineering, Brown University, Providence,
Rhode Island, United States, 2Neuroimaging,
King's College London, London, London, United Kingdom
The trajectory of myelination in the developing brain is
coupled with progressive optimisation of cognitively
relevant brain networks. Here we use a multivariate
technique, independent component analysis, to parcellate
quantitative myelin maps (mcDESPOT) from 200 children
between 3 months and 5 years, into clusters with
consistent developmental trajectories. We demonstrate
distributed, functionally relevant, systems that
myelinate concurrently.
|
12:06 |
0802.
|
Variegation in the
Adolescent Cortical Folding Pattern in Preterm and Control
Populations
(video unavailable)
Man Wong1, Andrew Melbourne2,
Manuel Jorge Cardoso2, Gemma Northam1,
Sebastien Ourselin2, and Torsten Baldeweg1
1Institute for Childs Health, University
College London, London, United Kingdom, 2Centre
for Medical Image Computing, University College London,
London, United Kingdom
Differences are observed between the brain volumes and
cortical folding pattern of preterm-born and control
groups at adolescence.
|
12:18 |
0803. |
Effects of Aging and Gender
on Brain Intrinsic Functional Connectivity: A Resting State
Study in a Large Cohort of Healthy Subjects
Massimo Filippi1, Paola Valsasina1,
Paolo Misci1, Andrea Falini2,
Giancarlo Comi3, and Maria A. Rocca1
1Neuroimaging Research Unit, Institute of
Experimental Neurology, San Raffaele Scientific
Institute, Vita-Salute San Raffaele University, Milan,
MI, Italy, 2Department
of Neuroradiology, San Raffaele Scientific Institute,
Vita-Salute San Raffaele University, Milan, MI, Italy, 3Department
of Neurology, San Raffaele Scientific Institute,
Vita-Salute San Raffaele University, Milan, MI, Italy
In this study, we explored gender- and age-related
effects on resting state (RS) functional connectivity
within and among networks with potential functional
relevance. RS data were acquired from 285 healthy
controls (148 men and 137 women, range=8-79 years).
Abnormalities of connectivity within and among networks,
as detected by independent component analysis and
functional network connectivity, were found in almost
all RS networks; however, age and gender effects were
variable across networks. Our results might contribute
to the understanding of gender-related differences in
the pathobiology of aging.
|
|