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 #
5P50MH084051-05
Application #
8375764
Study Section
Special Emphasis Panel (ZMH1-ERB-A)
Project Start
Project End
2014-05-31
Budget Start
2012-06-01
Budget End
2013-05-31
Support Year
5
Fiscal Year
2012
Total Cost
$131,031
Indirect Cost
$39,478

  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
Kalin, Ned H (2017) Mechanisms underlying the early risk to develop anxiety and depression: A translational approach. Eur Neuropsychopharmacol 27:543-553
Chung, Moo K; Lee, Hyekyoung; Solo, Victor et al. (2017) Topological Distances Between Brain Networks. Connectomics Neuroimaging (2017) 10511:161-170
Korponay, Cole; Dentico, Daniela; Kral, Tammi et al. (2017) Neurobiological correlates of impulsivity in healthy adults: Lower prefrontal gray matter volume and spontaneous eye-blink rate but greater resting-state functional connectivity in basal ganglia-thalamo-cortical circuitry. Neuroimage 157:288-296
Chung, Moo K; Hanson, Jamie L; Adluru, Nagesh et al. (2017) Integrative Structural Brain Network Analysis in Diffusion Tensor Imaging. Brain Connect 7:331-346
Planalp, Elizabeth M; Van Hulle, Carol; Gagne, Jeffrey R et al. (2017) The Infant Version of the Laboratory Temperament Assessment Battery (Lab-TAB): Measurement Properties and Implications for Concepts of Temperament. Front Psychol 8:846

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