The projects of this revised Conte Center integrate human and rodent-model studies to explore the role of fragmented and/or unpredictable early-life experiences in increasing the vulnerability of developing individuals to emotional and cognitive disorders.
Specific aims for the Center characterize and quantify fragmented and unpredictable maternal signals across species and examine the impact of such signals on outcome trajectories;use imaging and molecular analyses to explore mechanisms by which fragmented and unpredictable maternal signals promote vulnerabilities to emotional and cognitive problems;and create an integrated and predictive model for the contribution of fragmented maternal signals to emotional and cognitive vulnerabilities during adolescence. Guided by the Reviewers'constructive suggestions, we provide in this revised application more specific and detailed information about the BCDM Core. The primary goals of the Biostatistics, Computation and Data Management Core are: (a) enhance the innovation of the Center by developing novel and biologically relevant measures of fragmentation and unpredictability;(b) provide data management support to the various Center projects and cores that enable coherent analyses;and (c) enhance the impact of the Center by collaborating with individual projects and cores to support their analyses and, importantly, coordinate the integration of results across projects to develop clinically relevant predictive models. In essence, the Core will work with Center investigators to explore a variety of measures for characterizing early-life sensory signals, correlate those signals with behavioral, functional, and imaging outcomes, explore the longitudinal consequences in a human cohort, and coordinate data management and data integration (working with the Imaging Core).

Public Health Relevance

Mental disorders pose a profoundly important health problem. These disorders are generally believed to arise from an interaction of genetic and environmental influences during sensitive developmental periods. The projects of the Center explore the hypothesis that fragmented patterns early in life promote vulnerabilities to such disorders. The Biostatistics, Computation, and Data Management Core plays a key role in defining fragmentation across species, analyzing the data that are collected and integrating it aiming to come up with ways to predict who is at risk.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Specialized Center (P50)
Project #
1P50MH096889-01A1
Application #
8654013
Study Section
Special Emphasis Panel (ZMH1-ERB-L (02))
Project Start
Project End
Budget Start
2013-06-17
Budget End
2014-04-30
Support Year
1
Fiscal Year
2013
Total Cost
$128,897
Indirect Cost
$21,483
Name
University of California Irvine
Department
Type
DUNS #
046705849
City
Irvine
State
CA
Country
United States
Zip Code
92697
Gunn, Benjamin G; Sanchez, Gissell A; Lynch, Gary et al. (2018) Hyper-diversity of CRH interneurons in mouse hippocampus. Brain Struct Funct :
Leal, Stephanie L; Yassa, Michael A (2018) Integrating new findings and examining clinical applications of pattern separation. Nat Neurosci 21:163-173
Fox, Molly; Sandman, Curt A; Davis, Elysia Poggi et al. (2018) A longitudinal study of women's depression symptom profiles during and after the postpartum phase. Depress Anxiety 35:292-304
Singh-Taylor, A; Molet, J; Jiang, S et al. (2018) NRSF-dependent epigenetic mechanisms contribute to programming of stress-sensitive neurons by neonatal experience, promoting resilience. Mol Psychiatry 23:648-657
Riley, Jeffrey D; Chen, E Elinor; Winsell, Jessica et al. (2018) Network specialization during adolescence: Hippocampal effective connectivity in boys and girls. Neuroimage 175:402-412
Glynn, Laura M; Howland, Mariann A; Fox, Molly (2018) Maternal programming: Application of a developmental psychopathology perspective. Dev Psychopathol 30:905-919
Sandman, Curt A; Curran, Megan M; Davis, Elysia Poggi et al. (2018) Cortical Thinning and Neuropsychiatric Outcomes in Children Exposed to Prenatal Adversity: A Role for Placental CRH? Am J Psychiatry 175:471-479
Swales, Danielle A; Stout-Oswald, Stephanie A; Glynn, Laura M et al. (2018) Exposure to traumatic events in childhood predicts cortisol production among high risk pregnant women. Biol Psychol 139:186-192
Davis, Elysia Poggi; Hankin, Benjamin L; Swales, Danielle A et al. (2018) An experimental test of the fetal programming hypothesis: Can we reduce child ontogenetic vulnerability to psychopathology by decreasing maternal depression? Dev Psychopathol 30:787-806
Glynn, Laura M; Stern, Hal S; Howland, Mariann A et al. (2018) Measuring novel antecedents of mental illness: the Questionnaire of Unpredictability in Childhood. Neuropsychopharmacology :

Showing the most recent 10 out of 53 publications