The growing incidence of preterm birth (>500,000/year in the US) and birth injuries (>25,000/year in the US) have had a profound impact on society, with millions of dollars devoted to the healthcare and education of these children in addition to the physical and emotional stress on the affected families. There is a tremendous need for early detection and intervention. Magnetic resonance imaging has provided a powerful tool for the noninvasive study and monitoring of the infant brain. Developments in MRI over the last decade have allowed visualization of not only gross anatomic features, but also functional aspects of the brain using methods such as BOLD and microstructural organization using diffusion. More recently, post-processing techniques have advanced these techniques to further the study of mesoscale developing networks in the brain. The goal of this Bioengineering Research Grant is to investigate the development of structural and functional connectivity networks in the newborn brain from 26 weeks of gestational age to 1 year of life and correlating with clinical outcome. By doing so, we aim to gain a better insight ino how the human brain shapes and reshapes itself in to normal and abnormal conditions and to determine whether these network metrics maybe used as an early biomarker for determining developmental trajectories.

Public Health Relevance

According to March of Dimes, more than 540,000 babies in the US are born each year prematurely. The economic cost is tens of billions of dollars annually for additional healthcare and educational needs of the affected children, superimposed upon profound, unquantifiable emotional distress on the immediate family and surrounding communities. A better understanding of the plasticity of the brain would presumably offer treatment strategies to improve the cognitive outcome of those newborns, which are negatively affected by their premature birth. This project aims to achieve this through investigating the structural and connectivity networks in combination to more traditionally available in vivo imaging techniques and correlating with neurological outcome assessments at age of one.

Agency
National Institute of Health (NIH)
Institute
Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
Type
Research Project (R01)
Project #
5R01HD072074-02
Application #
8602843
Study Section
Special Emphasis Panel (ZRG1-SBIB-V (82))
Program Officer
Freund, Lisa S
Project Start
2013-01-04
Project End
2017-11-30
Budget Start
2013-12-01
Budget End
2014-11-30
Support Year
2
Fiscal Year
2014
Total Cost
$550,221
Indirect Cost
$182,300
Name
University of California San Francisco
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
094878337
City
San Francisco
State
CA
Country
United States
Zip Code
94143
Suh, Sooyeon; Kim, Hosung; Dang-Vu, Thien Thanh et al. (2016) Cortical Thinning and Altered Cortico-Cortical Structural Covariance of the Default Mode Network in Patients with Persistent Insomnia Symptoms. Sleep 39:161-71
Kim, Hosung; Lepage, Claude; Maheshwary, Romir et al. (2016) NEOCIVET: Towards accurate morphometry of neonatal gyrification and clinical applications in preterm newborns. Neuroimage 138:28-42
Kim, Hosung; Gano, Dawn; Ho, Mai-Lan et al. (2016) Hindbrain regional growth in preterm newborns and its impairment in relation to brain injury. Hum Brain Mapp 37:678-88
Tam, Emily W Y; Chau, Vann; Barkovich, A James et al. (2016) Early postnatal docosahexaenoic acid levels and improved preterm brain development. Pediatr Res 79:723-30
Kansagra, Akash P; Mabray, Marc C; Ferriero, Donna M et al. (2016) Microstructural maturation of white matter tracts in encephalopathic neonates. Clin Imaging 40:1009-13
Gano, Dawn; Andersen, Sarah K; Partridge, J Colin et al. (2015) Diminished white matter injury over time in a cohort of premature newborns. J Pediatr 166:39-43
Wen, Qiuting; Kelley, Douglas A C; Banerjee, Suchandrima et al. (2015) Clinically feasible NODDI characterization of glioma using multiband EPI at 7 T. Neuroimage Clin 9:291-9
Chen, Yiran; Tymofiyeva, Olga; Hess, Christopher P et al. (2015) Effects of rejecting diffusion directions on tensor-derived parameters. Neuroimage 109:160-70
Tymofiyeva, Olga; Ziv, Etay; Barkovich, A James et al. (2014) Brain without anatomy: construction and comparison of fully network-driven structural MRI connectomes. PLoS One 9:e96196
Tymofiyeva, O; Hess, C P; Xu, D et al. (2014) Structural MRI connectome in development: challenges of the changing brain. Br J Radiol 87:20140086

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