Genome wide linkage studies, case-control association studies, and functional data suggest a role for Neuregulin 1 (NRG1) in the e'tiology of schizophrenia. Developmental studies indicate that defects in NRG1 signaling mediated through its receptor, ErbB4, could lead to the incorrect generation, placement, differentiation, and function of neurons in the developing brain (Corfas et al., 2004). The resultant changes in neural circuitry in the cerebral cortex may thus lead to neurodevelopmental disorder such as schizophrenia. Recent evidence indicating that altered NRG1-erbB4 interactions may enhance susceptibility to Schizophrenia (Norton et al.,2005;Hahn et al.,2006) and that NRG1(I) expression is deregulated in dorsolateral prefrontal cortex and hippocampus in schizophrenia (Hashimoto et al 2004;Law et al., 2006) further support this hypothesis. Therefore, an understanding of the functions of NRG1 and erbB4 receptors in the developing cerebral cortex, especially during interneuronal development, is essential to delineate the neurodevelopmental pathways whose disruption is likely to be integrally related to the development of schizophrenia. We propose to accomplish this by examining the following three related questions: (i) Determine the patterns of migration and positioning of interneurons in the embryonic cerebral cortex, (2) Determine whether the development and differentiation of interneurons, during early embryonic development and postnatally, depends on NRG1- ErbB4 interactions, and (3) Determine the role of ErbB4 in the function of cortical interneurons. .

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Specialized Center (P50)
Project #
5P50MH064065-09
Application #
8118878
Study Section
Special Emphasis Panel (ZMH1)
Project Start
2010-08-01
Project End
2012-07-31
Budget Start
2010-08-01
Budget End
2011-07-31
Support Year
9
Fiscal Year
2010
Total Cost
$205,387
Indirect Cost
Name
University of North Carolina Chapel Hill
Department
Type
DUNS #
608195277
City
Chapel Hill
State
NC
Country
United States
Zip Code
27599
Lyu, Ilwoo; Kim, Sun Hyung; Girault, Jessica B et al. (2018) A cortical shape-adaptive approach to local gyrification index. Med Image Anal 48:244-258
Stephens, Rebecca L; Langworthy, Benjamin; Short, Sarah J et al. (2018) Verbal and nonverbal predictors of executive function in early childhood. J Cogn Dev 19:182-200
Girault, Jessica B; Langworthy, Benjamin W; Goldman, Barbara D et al. (2018) The Predictive Value of Developmental Assessments at 1 and 2 for Intelligence Quotients at 6. Intelligence 68:58-65
Tu, Liyun; Styner, Martin; Vicory, Jared et al. (2018) Skeletal Shape Correspondence Through Entropy. IEEE Trans Med Imaging 37:1-11
Jha, Shaili C; Xia, Kai; Schmitt, James Eric et al. (2018) Genetic influences on neonatal cortical thickness and surface area. Hum Brain Mapp 39:4998-5013
Wang, Yan; Ma, Guangkai; An, Le et al. (2017) Semisupervised Tripled Dictionary Learning for Standard-Dose PET Image Prediction Using Low-Dose PET and Multimodal MRI. IEEE Trans Biomed Eng 64:569-579
Xia, K; Zhang, J; Ahn, M et al. (2017) Genome-wide association analysis identifies common variants influencing infant brain volumes. Transl Psychiatry 7:e1188
Sadeghi, Neda; Gilmore, John H; Gerig, Guido (2017) Twin-singleton developmental study of brain white matter anatomy. Hum Brain Mapp 38:1009-1024
Wei, Lifang; Cao, Xiaohuan; Wang, Zhensong et al. (2017) Learning-based deformable registration for infant MRI by integrating random forest with auto-context model. Med Phys 44:6289-6303
Gao, Wei; Lin, Weili; Grewen, Karen et al. (2017) Functional Connectivity of the Infant Human Brain: Plastic and Modifiable. Neuroscientist 23:169-184

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