In this revised application, the Imaging Core will provide imaging and data management support for the Center projects that integrate human and rodent-model studies to explore the role of fragmented patterns of maternal signals in increasing the vulnerability of developing individuals to mental illness. In the context of the Core, we will assess structural changes in the brains of children and rodents, using volumetry and DTI. We will also perform fMRI, testing the common hypothesis of Projects 1 and 4, pertaining to brain network shifts provoked by fragmented sensory patterns early in life. The Imaging Core has four basic goals: (i) To acquire, transfer, and store imaging data;(ii) To perform single subject image analysis, group analysis using advanced statistical inference, and multivariate modeling;(iii) To develop and execute automatic and high-speed processing pipelines for the imaging data;and (iv) To maintain quality control, data security, and data integrity. Specifically, we will acquire three types of magnetic resonance imaging (MRI) data, including structural, diffusion tensor (DTI), and functional images (fMRI), and will undertake analysis using advanced methods to test the stated hypotheses of Projects 1, 2, 3. and 4. Further, we will manage data transfers and pipelines, creating processing streams that maximize semiautomatic methods for image preprocessing, anatomical parcellation, and statistical inference, and implement parallel computer algorithms to decrease analysis times using cluster and grid computers. Guided by the helpful suggestions raised by Reviewers of the original application, the Revised Core section provides detailed information about Core facilities. Personnel expertise, and individual methodologies.

National Institute of Health (NIH)
National Institute of Mental Health (NIMH)
Specialized Center (P50)
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Study Section
Special Emphasis Panel (ZMH1-ERB-L (02))
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University of California Irvine
United States
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Hankin, Benjamin L; Davis, Elysia Poggi; Snyder, Hannah et al. (2017) Temperament factors and dimensional, latent bifactor models of child psychopathology: Transdiagnostic and specific associations in two youth samples. Psychiatry Res 252:139-146
Curran, Megan M; Sandman, Curt A; Poggi Davis, Elysia et al. (2017) Abnormal dendritic maturation of developing cortical neurons exposed to corticotropin releasing hormone (CRH): Insights into effects of prenatal adversity? PLoS One 12:e0180311
Stout, Stephanie A; Lin, Jue; Hernandez, Natalie et al. (2017) Validation of Minimally-Invasive Sample Collection Methods for Measurement of Telomere Length. Front Aging Neurosci 9:397
Hahn-Holbrook, Jennifer; Davis, Elysia P; Glynn, Laura M (2017) Response to ""Cortisol in human milk: The good, the bad, or the Ugly?"" Obesity (Silver Spring) 25:1154
Walker, Claire-Dominique; Bath, Kevin G; Joels, Marian et al. (2017) Chronic early life stress induced by limited bedding and nesting (LBN) material in rodents: critical considerations of methodology, outcomes and translational potential. Stress 20:421-448
Gunn, B G; Baram, T Z (2017) Stress and Seizures: Space, Time and Hippocampal Circuits. Trends Neurosci 40:667-679
Singh-Taylor, A; Molet, J; Jiang, S et al. (2017) NRSF-dependent epigenetic mechanisms contribute to programming of stress-sensitive neurons by neonatal experience, promoting resilience. Mol Psychiatry :
Bolton, Jessica L; Molet, Jenny; Ivy, Autumn et al. (2017) New insights into early-life stress and behavioral outcomes. Curr Opin Behav Sci 14:133-139
Molet, Jenny; Maras, Pamela M; Kinney-Lang, Eli et al. (2016) MRI uncovers disrupted hippocampal microstructure that underlies memory impairments after early-life adversity. Hippocampus 26:1618-1632
Kim, Dae-Jin; Davis, Elysia Poggi; Sandman, Curt A et al. (2016) Prenatal Maternal Cortisol Has Sex-Specific Associations with Child Brain Network Properties. Cereb Cortex :

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