The long-term aim of this project is to define the effects of drugs of abuse on brain structure and metabolite concentrations, as well as the behavioral correlates of those effects, in infants and children who have been exposed to those drugs during fetal development. We will obtain high-resolution anatomical MRI, magnetic resonance spectroscopy (MRS), and Diffusion Tensor Imaging (DTI) scans in 90 newborn infants exposed to drugs of abuse during fetal development (45 exposed to opiates and 45 exposed to cocaine) and 45 matched, unexposed newborn controls. We will measure and compare regional brain volumes, metabolite levels, and white matter fiber pathways across groups of exposed and unexposed infants. We will assess the physical, neurological, motor, and cognitive development of these infants at regular intervals until the infants are 36 months old. We will then determine whether brain MRI measures at birth correlate with differential neurodevelopmental outcome across the 3 groups of newborns. This study promises to define the consequences of prenatal exposure to cocaine and opiates on brain structure and metabolite concentrations. Defining these consequences will in turn help to identify the pathophysiological mediators and suggest possible prevention and early intervention strategies.

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Research Project (R01)
Project #
5R01DA017820-02
Application #
6934456
Study Section
Special Emphasis Panel (ZDA1-EXL-T (04))
Program Officer
Borek, Nicolette T
Project Start
2004-08-05
Project End
2009-05-31
Budget Start
2005-06-01
Budget End
2006-05-31
Support Year
2
Fiscal Year
2005
Total Cost
$609,480
Indirect Cost
Name
New York State Psychiatric Institute
Department
Type
DUNS #
167204994
City
New York
State
NY
Country
United States
Zip Code
10032
Serino, Dana; Peterson, Bradley S; Rosen, Tove S (2018) Psychological Functioning of Women Taking Illicit Drugs during Pregnancy and the Growth and Development of Their Offspring in Early Childhood. J Dual Diagn :1-13
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He, Xiaofu; Liu, Wei; Li, Xuzhou et al. (2014) Automated assessment of the quality of diffusion tensor imaging data using color cast of color-encoded fractional anisotropy images. Magn Reson Imaging 32:446-56
Spann, Marisa N; Bansal, Ravi; Rosen, Tove S et al. (2014) Morphological features of the neonatal brain support development of subsequent cognitive, language, and motor abilities. Hum Brain Mapp 35:4459-74
Bansal, Ravi; Hao, Xuejun; Liu, Feng et al. (2013) The effects of changing water content, relaxation times, and tissue contrast on tissue segmentation and measures of cortical anatomy in MR images. Magn Reson Imaging 31:1709-30
Haubold, Alexander; Peterson, Bradley S; Bansal, Ravi (2012) Annual research review: progress in using brain morphometry as a clinical tool for diagnosing psychiatric disorders. J Child Psychol Psychiatry 53:519-35
Bansal, Ravi; Staib, Lawrence H; Laine, Andrew F et al. (2012) Anatomical brain images alone can accurately diagnose chronic neuropsychiatric illnesses. PLoS One 7:e50698
Xu, Dongrong; Hao, Xuejun; Wang, Zhishun et al. (2012) A Virtual Radial Arm Maze for the Study of Multiple Memory Systems in a Functional Magnetic Resonance Imaging Environment. Int J Virtual Real 11:63-76
Liu, Wei; Liu, Xiaozheng; Yang, Guang et al. (2012) Improving the correction of eddy current-induced distortion in diffusion-weighted images by excluding signals from the cerebral spinal fluid. Comput Med Imaging Graph 36:542-51
Zhou, Zhenyu; Liu, Wei; Cui, Jiali et al. (2011) Automated artifact detection and removal for improved tensor estimation in motion-corrupted DTI data sets using the combination of local binary patterns and 2D partial least squares. Magn Reson Imaging 29:230-42

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