Specific Aim 1. Develop methods for extracting and visualizing differences in brain shape using information obtained from volume-based nonlinear warping algorithms such as AIR.
Specific Aim 2. Develop and validate statistical methods to allow brain shape descriptors derived from nonlinear warping algorithms to be compared across groups of subjects.
Specific Aim 3. Develop and validate methods for using shape descriptors derived from nonlinear warping algorithms to characterize developmental morphometric changes over time.
Specific Aim 4. Develop and validate a statistical framework for comparing the temporal dynamics of morphometric changes across different groups of subjects.
Specific Aim 5. Cross-validate and integrate the methods developed here with methods based on Surface Parameterization (Project 1) and other comparable or compatible approaches.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR013642-04
Application #
6477609
Study Section
Project Start
2001-08-01
Project End
2002-07-31
Budget Start
Budget End
Support Year
4
Fiscal Year
2001
Total Cost
$48,533
Indirect Cost
Name
University of California Los Angeles
Department
Type
DUNS #
119132785
City
Los Angeles
State
CA
Country
United States
Zip Code
90095
Green, Shulamite A; Hernandez, Leanna M; Bowman, Hilary C et al. (2018) Sensory over-responsivity and social cognition in ASD: Effects of aversive sensory stimuli and attentional modulation on neural responses to social cues. Dev Cogn Neurosci 29:127-139
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