Abstract

The main objective of the Biological Measures Core is to provide technical support for the biological measures that are necessary for the research projects in the Center. There are three classes of biological measures that will be supported by this Core: psychophysiological methods, hormonal assays, and imaging. The imaging component will include both MRI (for Projects 1, 4, and 5) and microPET (for the non-human primate project, Project 1). The neuroimaging portion of the Core will be responsible for maintaining imaging protocols, performing regular evaluations of imaging scanner performance and image data quality, evaluating new methods for data acquisition,and analysis, and managing a database of imaging, hormonal, behavioral, psychophysiological, and clinical measures obtained by the project. Hormonal assays include salivary and blood cortisol, DHEA and testosterone, and CRF and ACTH. Psychophsysiologic measures include EEG, emotion-modulated startle and cardiovascular measures.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Specialized Center (P50)
Project #
5P50MH084051-04
Application #
8269752
Study Section
Special Emphasis Panel (ZMH1)
Project Start
Project End
Budget Start
2011-06-01
Budget End
2012-05-31
Support Year
4
Fiscal Year
2011
Total Cost
$135,034
Indirect Cost

  Institution

Name
University of Wisconsin Madison
Department
Type
DUNS #
161202122
City
Madison
State
WI
Country
United States
Zip Code
53715

  Publications

Amiri, Anahita; Coppola, Gianfilippo; Scuderi, Soraya et al. (2018) Transcriptome and epigenome landscape of human cortical development modeled in organoids. Science 362:
Wang, Daifeng; Liu, Shuang; Warrell, Jonathan et al. (2018) Comprehensive functional genomic resource and integrative model for the human brain. Science 362:
Curtis, David (2018) Polygenic risk score for schizophrenia is not strongly associated with the expression of specific genes or gene sets. Psychiatr Genet 28:59-65
Gandal, Michael J; Haney, Jillian R; Parikshak, Neelroop N et al. (2018) Shared molecular neuropathology across major psychiatric disorders parallels polygenic overlap. Science 359:693-697
Curtis, David (2018) Polygenic risk score for schizophrenia is more strongly associated with ancestry than with schizophrenia. Psychiatr Genet 28:85-89
Hilt, Lori M; Armstrong, Jeffrey M; Essex, Marilyn J (2017) Rumination and Moderators of Multifinality: Predicting Internalizing Symptoms and Alcohol Use During Adolescence. J Clin Child Adolesc Psychol 46:746-753
Brooker, Rebecca J; Canen, Mara J; Davidson, Richard J et al. (2017) Short- and long-term stability of alpha asymmetry in infants: Baseline and affective measures. Psychophysiology 54:1100-1109
Planalp, Elizabeth M; Van Hulle, Carol; Lemery-Chalfant, Kathryn et al. (2017) Genetic and environmental contributions to the development of positive affect in infancy. Emotion 17:412-420
Sarkisian, Katherine; Van Hulle, Carol; Lemery-Chalfant, Kathryn et al. (2017) Childhood inhibitory control and adolescent impulsivity and novelty seeking as differential predictors of relational and overt aggression. J Res Pers 67:144-150
Shackman, A J; Fox, A S; Oler, J A et al. (2017) Heightened extended amygdala metabolism following threat characterizes the early phenotypic risk to develop anxiety-related psychopathology. Mol Psychiatry 22:724-732

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