Abnormalities of brain structure and function are one of the key neurobiologic characteristics of schizophrenia. In schizophrenia subjects, losses of tissue volume, changes in neuronal density, and deficits of functional activation are present within a circuit of neural structures. The central scientific goals of this Conte Center for the Neuroscience of Mental Disorders (CCNMD) are to more precisely define the anatomical pattern of these abnormalities in brain structure and function, to investigate their possible causes (i.e., genetic and/or environmental) and pathogenesis, and to establish functional links between these structural abnormalities and abnormalities of cognitive function (e.g., working and episodic memory) that may underlie psychopathology and disability. Our overarching hypothesis is that genetic liability for schizophrenia may be expressed in part by variation in neuroanatomical structure and function within a network of specific brain regions and that these same structures may be impacted by environmental insult during early development, ultimately leading to the cognitive and clinical abnormalities that currently define the disease. The proposed CCNMD will 1) carry out an integrated investigation of brain structure and function in schizophrenia subjects, their non-psychotic siblings, healthy controls and their siblings.2) Study the developmental progression of changes in brain structure in a macaque model of fetal environmental insult. and 3) elucidate the specific cellular elements of the neural circuit underlying working memory again using macaques. Finally, we will use recombinant, inbred strains of mice to identify genes that influence these neuroanatomical and behavioral phenotypes. Several themes are carried across the individual Projects proposed for the Center. Taken together with shared technologies and resources, the overarching hypothesis and these themes represent a strong rationale for the funding of this research as a Center, rather than a series of R01 projects. ?

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Specialized Center (P50)
Project #
5P50MH071616-04
Application #
7264650
Study Section
Special Emphasis Panel (ZMH1-BRB-P (05))
Program Officer
Zalcman, Steven J
Project Start
2004-09-28
Project End
2009-07-31
Budget Start
2007-08-01
Budget End
2008-07-31
Support Year
4
Fiscal Year
2007
Total Cost
$2,182,041
Indirect Cost
Name
Washington University
Department
Psychiatry
Type
Schools of Medicine
DUNS #
068552207
City
Saint Louis
State
MO
Country
United States
Zip Code
63130
Islam, Jyoti; Zhang, Yanqing (2018) Brain MRI analysis for Alzheimer's disease diagnosis using an ensemble system of deep convolutional neural networks. Brain Inform 5:2
Watsky, Rebecca E; Gotts, Stephen J; Berman, Rebecca A et al. (2018) Attenuated resting-state functional connectivity in patients with childhood- and adult-onset schizophrenia. Schizophr Res :
Blaiotta, Claudia; Freund, Patrick; Cardoso, M Jorge et al. (2018) Generative diffeomorphic modelling of large MRI data sets for probabilistic template construction. Neuroimage 166:117-134
Amaral, Robert S C; Park, Min Tae M; Devenyi, Gabriel A et al. (2018) Manual segmentation of the fornix, fimbria, and alveus on high-resolution 3T MRI: Application via fully-automated mapping of the human memory circuit white and grey matter in healthy and pathological aging. Neuroimage 170:132-150
van Erp, Theo G M; Walton, Esther; Hibar, Derrek P et al. (2018) Cortical Brain Abnormalities in 4474 Individuals With Schizophrenia and 5098 Control Subjects via the Enhancing Neuro Imaging Genetics Through Meta Analysis (ENIGMA) Consortium. Biol Psychiatry 84:644-654
Pehlivanova, Marieta; Wolf, Daniel H; Sotiras, Aristeidis et al. (2018) Diminished Cortical Thickness is Associated with Impulsive Choice in Adolescence. J Neurosci :
Kawamura, Naoki; Yokota, Tatsuya; Hontani, Hidekata (2018) Super-Resolution of Magnetic Resonance Images via Convex Optimization with Local and Global Prior Regularization and Spectrum Fitting. Int J Biomed Imaging 2018:9262847
Ogren, Jennifer A; Tripathi, Raghav; Macey, Paul M et al. (2018) Regional cortical thickness changes accompanying generalized tonic-clonic seizures. Neuroimage Clin 20:205-215
Miklody, Daniel; Bagdasarian, Milena T; Blankertz, Benjamin (2017) A low-dimensional representation for individual head geometries. Conf Proc IEEE Eng Med Biol Soc 2017:3696-3699
Coupé, Pierrick; Catheline, Gwenaelle; Lanuza, Enrique et al. (2017) Towards a unified analysis of brain maturation and aging across the entire lifespan: A MRI analysis. Hum Brain Mapp 38:5501-5518

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