Abstract

The Biostatistics and Data Management Core (BDMC) will serve as a resource for all Projects and other Cores supported by the Conte Center for the Neuroscience of Mental Diseases (CCNMD). The BDMC will consult on the statistical design of all CCNMD Projects. The BDMC will also support the other Cores, especially the Administration and Assessment Core with regard to data entry and data management issues. In particular, the BDMC will coordinate and perform all data entry functions. The BDMC will be responsible for collaboration in the design of all forms used and will maintain documentation and codebooks for all CCNMD investigators. It will continue to maintain and develop data entry/data management procedures, and will continue to enhance the administrative reporting of information from the database. BDMC staff will work with investigators to enhance and ensure the statistical integrity of all analyses of data and publications.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Specialized Center (P50)
Project #
1P50MH071616-01
Application #
6969046
Study Section
Special Emphasis Panel (ZMH1-BRB-P (05))
Project Start
2004-09-28
Project End
2009-07-31
Budget Start
2004-09-28
Budget End
2005-07-31
Support Year
1
Fiscal Year
2004
Total Cost
$189,816
Indirect Cost

  Institution

Name
Washington University
Department
Type
DUNS #
068552207
City
Saint Louis
State
MO
Country
United States
Zip Code
63130

  Publications

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
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
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
Potvin, Olivier; Dieumegarde, Louis; Duchesne, Simon et al. (2017) Freesurfer cortical normative data for adults using Desikan-Killiany-Tourville and ex vivo protocols. Neuroimage 156:43-64

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