? Data Management and Statistics Core The Data Management and Statistics Core (DMSC) supports the mission of the UC Davis (UCD) Alzheimer's Disease Center (ADC) by maintaining a secure, central database; providing statistical analysis of the complex longitudinal data; and collaborating closely with the other Cores and investigators on research and mentoring. The DMSC team is internationally recognized for intellectual leadership that contributes to scientific advances, collaborations, and education and training. Key DMSC innovations in the current grant cycle (07/11?06/16) have included: 1) Refinement and expansion of the functionality of the state-of-the art database management system (Lava) that was developed and is maintained and extended through a cross-ADC collaboration. 2) Application of reproducible research principles and methods to dynamically generate reports that integrate database, data analysis, and written and graphic presentation of results. 3) Implementation of parallel process longitudinal models for correlated outcomes and predictors. 4) Development of analytic methods for high dimension imaging and biomarker data. 5) Creation of latent variable models to define, measure, and capture dynamic change in complex but important constructs like cognitive and functional reserve. 6) Statistical harmonization of cognitive test batteries to enable merging of datasets from different studies. 7) Local, national, and international leadership in collaborative science efforts and in training the next generation of researchers. In the next grant cycle, the DMSC will help to advance our understanding of factors that influence heterogeneity of cognitive trajectories across the spectrum from normal cognition through mild cognitive impairment and into dementia in four areas. 1) We will oversee data management for the UCD ADC and its Cores, providing a secure web-based central resource. 2) We will carry out statistical analyses for interdisciplinary ADC research on pathogenesis, diagnosis, treatment, and prevention of age-related degenerative disease. 3) We will develop new statistical methodology as needed to support the analysis of ADC's complex data. 4) We will work closely with the Research Education Component to mentor and train the next generation of AD researchers in study design, analysis, and presentation of results.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Center Core Grants (P30)
Project #
5P30AG010129-30
Application #
9978578
Study Section
Special Emphasis Panel (ZAG1)
Project Start
Project End
Budget Start
2020-07-01
Budget End
2021-06-30
Support Year
30
Fiscal Year
2020
Total Cost
Indirect Cost
Name
University of California Davis
Department
Type
DUNS #
047120084
City
Davis
State
CA
Country
United States
Zip Code
95618
Lian, Chunfeng; Liu, Mingxia; Zhang, Jun et al. (2018) Automatic Segmentation of 3D Perivascular Spaces in 7T MR Images Using Multi-Channel Fully Convolutional Network. Proc Int Soc Magn Reson Med Sci Meet Exhib Int Soc Magn Reson M 2018:
Davis, Jeremy J (2018) Performance validity in older adults: Observed versus predicted false positive rates in relation to number of tests administered. J Clin Exp Neuropsychol 40:1013-1021
Qian, Winnie; Fischer, Corinne E; Schweizer, Tom A et al. (2018) Association Between Psychosis Phenotype and APOE Genotype on the Clinical Profiles of Alzheimer's Disease. Curr Alzheimer Res 15:187-194
Rangaraju, Srikant; Dammer, Eric B; Raza, Syed Ali et al. (2018) Identification and therapeutic modulation of a pro-inflammatory subset of disease-associated-microglia in Alzheimer's disease. Mol Neurodegener 13:24
Gallagher, Damien; Kiss, Alex; Lanctot, Krista et al. (2018) Depression and Risk of Alzheimer Dementia: A Longitudinal Analysis to Determine Predictors of Increased Risk among Older Adults with Depression. Am J Geriatr Psychiatry 26:819-827
Chen, Yi-Je; Nguyen, Hai M; Maezawa, Izumi et al. (2018) Inhibition of the potassium channel Kv1.3 reduces infarction and inflammation in ischemic stroke. Ann Clin Transl Neurol 5:147-161
Di Lucente, Jacopo; Nguyen, Hai M; Wulff, Heike et al. (2018) The voltage-gated potassium channel Kv1.3 is required for microglial pro-inflammatory activation in vivo. Glia 66:1881-1895
Lin, Ming; Gong, Pinghua; Yang, Tao et al. (2018) Big Data Analytical Approaches to the NACC Dataset: Aiding Preclinical Trial Enrichment. Alzheimer Dis Assoc Disord 32:18-27
Haaksma, Miriam L; Calderón-Larrañaga, Amaia; Olde Rikkert, Marcel G M et al. (2018) Cognitive and functional progression in Alzheimer disease: A prediction model of latent classes. Int J Geriatr Psychiatry 33:1057-1064
Kirson, Noam Y; Scott Andrews, J; Desai, Urvi et al. (2018) Patient Characteristics and Outcomes Associated with Receiving an Earlier Versus Later Diagnosis of Probable Alzheimer's Disease. J Alzheimers Dis 61:295-307

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