Abstract

The long-term aim of this project is to use anatomical magnetic resonance imaging (MRI) to understand better the neural basis of childhood neuropsychiatric disorders. This particular application will focus on defining the anatomical basis of Tourette's syndrome (TS), Obsessive-Compulsive Disorder (OCD), and Attention Deficit Hyperactivity Disorder (ADHD). Detailed volumetric and morphological measures of precisely defined cortical and subcortical regions in 620 children and adults will be compared across age and diagnostic groups. Correlates of these measures with immunological, neurohumoral, neuropsychological, and family history data, and with other behavioral indices, will be assessed. Both manual and automated image analysis methodologies will be applied for the improved assessment of brain morphology. By understanding the disturbances in cerebral architecture that undedie these developmental disorders and how they give rise to associated behavioral disturbances in these conditions, we will be better able to assess and to time the efficacy of therapeutic interventions in the context of the developing nervous system. ? ?

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH068318-05
Application #
7446604
Study Section
Child Psychopathology and Developmental Disabilities Study Section (CPDD)
Program Officer
Friedman-Hill, Stacia
Project Start
2004-09-30
Project End
2010-06-30
Budget Start
2008-07-01
Budget End
2010-06-30
Support Year
5
Fiscal Year
2008
Total Cost
$676,164
Indirect Cost

  Institution

Name
New York State Psychiatric Institute
Department
Type
DUNS #
167204994
City
New York
State
NY
Country
United States
Zip Code
10032

  Publications

Bansal, Ravi; Peterson, Bradley S (2018) Cluster-level statistical inference in fMRI datasets: The unexpected behavior of random fields in high dimensions. Magn Reson Imaging 49:101-115
Bansal, Ravi; Hao, Xuejun; Peterson, Bradley S (2017) Segmenting and validating brain tissue definitions in the presence of varying tissue contrast. Magn Reson Imaging 35:98-116
Peterson, Bradley S; Rauh, Virginia A; Bansal, Ravi et al. (2015) Effects of prenatal exposure to air pollutants (polycyclic aromatic hydrocarbons) on the development of brain white matter, cognition, and behavior in later childhood. JAMA Psychiatry 72:531-40
Bansal, Ravi; Hao, Xuejun; Liu, Jun et al. (2014) Using Copula distributions to support more accurate imaging-based diagnostic classifiers for neuropsychiatric disorders. Magn Reson Imaging 32:1102-13
Ivanov, Iliyan; Murrough, James W; Bansal, Ravi et al. (2014) Cerebellar morphology and the effects of stimulant medications in youths with attention deficit-hyperactivity disorder. Neuropsychopharmacology 39:718-26
Plessen, Kerstin J; Hugdahl, Kenneth; Bansal, Ravi et al. (2014) Sex, age, and cognitive correlates of asymmetries in thickness of the cortical mantle across the life span. J Neurosci 34:6294-302
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
Colibazzi, Tiziano; Wexler, Bruce E; Bansal, Ravi et al. (2013) Anatomical abnormalities in gray and white matter of the cortical surface in persons with schizophrenia. PLoS One 8:e55783
Hao, Xuejun; Xu, Dongrong; Bansal, Ravi et al. (2013) Multimodal magnetic resonance imaging: The coordinated use of multiple, mutually informative probes to understand brain structure and function. Hum Brain Mapp 34:253-71
Margolis, Amy; Bansal, Ravi; Hao, Xuejun et al. (2013) Using IQ discrepancy scores to examine the neural correlates of specific cognitive abilities. J Neurosci 33:14135-45

Showing the most recent 10 out of 91 publications