Hernan Jara1, Osamu Sakai1, Stephan W Anderson1, Timothy Heeren1, Karl CK Kuban1, and Thomas M O'Shea2
1Boston University, Boston, MA, United States, 2University of North Carolina Children’s Hospital, Chapel Hill, NC, United States
Synopsis
Purpose: To analyze the fiber bundle
architecture via white matter connectomes of extremely preterm (EP) born
adolescents generated by Synthetic-MRI based white matter fibrography,
and to study associations with summary measures of intelligence quotient (IQ)
and executive function (EF). Methods:
Eleven EP adolescents were scanned the tri-turbo spin echo pulse sequence,
which is the concatenation of dual-echo TSE and single-echo TSE pulse
sequences, both acquired with same geometry and scanner settings. Results: Connectome were successfully
created for all subjects. Conclusion:
White matter fibrography is a direct and reliable method for generating whole-brain
white matter connectomes in adolescents born EP, and appears to have clinical
relevance.
Purpose
Although
survival rates for children born extremely preterm (EP) (gestational age <28
weeks) have greatly increased over the last 40 years, EP children remain at
risk of developing a broad range of neurodevelopmental impairments including
motor and sensory impairment, cognitive and learning disabilities, and
psychiatric and behavioral disorders. The increased risk for development of
neurological deficits in children born EP are probably linked to perturbations
of critical maturational processes of the central nervous system (CNS) that
occur during the first two trimesters of pregnancy and in the postnatal period.
These preterm birth associated perturbations can also have long-term
architectural CNS sequelae. The purpose of this early proof-of-concept work is
to examine qualitatively the architecture of whole-brain connectomes of 11 EP
adolescents directly generated by Synthetic-MRI based white matter fibrography
(WMF) (Figure
1) (1), and to study possible associations with their
profiles on measures of neurocognitive impairment as previously classified by level
of cognition over the ELGAN cohort (n=873) at age 10 (2).Methods
This study was approved by the
Institutional Review Boards of the 12 participating institutions of the
Extremely Low Gestational Age Newborn (ELGAN) study (3). Eleven EP adolescents were scanned with a 3T
MRI protocol that included the tri-turbo spin echo (Tri-TSE) pulse sequence,
which is the concatenation of dual-echo TSE (TE1&2eff=12ms & 101ms,
TR=10s) and single-echo TSE (TEeff=12ms, TR=0.5s) pulse sequences, both
acquired with identical geometry (80 contiguous axial slices and voxel = 0.5 x
0.5 x 2 mm3) and scanner settings. The three directly-acquired
images per slice were used to create maps of the relaxation times (T1 and T2),
the normalized proton density (PD), and correlation time diffusion coefficient
(Dct) using in-house developed qMRI algorithms. Longitudinal relaxation rate (R1=1/T1)
heavily weighted images of the intracranium were generated with a synthetic MRI engine
(all programs coded in Mathcad, PTC, Needham, MA). The R1-weighted synthetic
images, which show well-defined white matter structure, were processed with
ImageJ (https://imagej.nih.gov/ij/): first sharpened and then 3D-to-2D projected using the Volume
Viewer plugin (Figure
2). Connectomes were grouped by their cognitive classification (Figure 3):
normal (n=6), low normal (n=2), and moderately impaired (n=3), and were further
organized by IQ.Results
Successful connectome renderings
in eleven adolescents (Figure 3) yielded high spatial resolution connectomes
with high levels of left-right symmetry and well-organized fiber bundle
patterns in the posterior as well as the anterior aspects of the brain among
the six children with normal cognition. One exception in this normal group, is
a subject with ventriculomegaly, in whom fiber bundles are shorter and the
overall order appears diminished. The two subjects in the low-normal cognition
group show lower degree of L/R symmetry and diminished connectome organization.
The three subjects in the moderately impaired cognition group have disorganized
fiber bundles in one case and asymmetric, simplified and disorganized
connectomes in the other two.Discussion
This proof of concept study
points to the potential utility of WMF via Synthetic MRI as an informative tool
for the evaluation of white matter and for establishing associations with
independently generated measures of intelligence and cognition. Further work is
needed for establishing connectome reference standards in the form of
quantitative connectome-descriptive parameters representative of fiber bundle
order, state of development, and overall health.Conclusion
White matter fibrography has been
successfully used with eleven extremely preterm adolescents showing its
reliability and clinical relevance. This work could have implications for
developing quantitative connectome metrics and for constructing and assessing
ultra-high spatial resolution connectomes in routine clinical practice.Acknowledgements
Supported by the National Institute of Neurological Disorders
and Stroke (5U01NS040069-05 and 2R01NS040069-09), National Institutes of Health
Office of the Director (1UG3OD022348-01), and the National Institute of Child
Health and Human Development (5P30HD018655-28).
List of
additional ELGAN Study Investigators is available at www.jpeds.com (Appendix).
References
1. Jara H, Sakai O,
Anderson SW, Soto JA. MR Fibrography: an application of
correlation time diffusion synthetic MRI (1.5T and 3.0T). Proceeding RSNA
(Chicago) 2016.
2. Heeren T, Joseph RM, Allred EN, O'Shea TM, Leviton A,
Kuban KC. Cognitive functioning at age 10 years among children born extremely
preterm: A latent profile approach. Pediatric research 2017.
3. O'Shea TM, Allred EN, Dammann O, et
al. The ELGAN study of the brain and related disorders in extremely low
gestational age newborns. Early Human Development 2009;85(11):719-725.