A strong and responsive Administrative Core is a key component of the Boston University Alzheimer's Disease Center (BU ADC). The Administrative Core consists of a formal administrative structure under the leadership of the BU ADC Director, Dr Kowall. Three standing administrative committees have been established: the Executive Committee, the External Advisory Committee, and the Community Action Council and an ad hoc Internal Advisory Committee. In conjunction with the Center Director, these committees are responsible for coordinating, planning, overseeing, and evaluating all BU ADC activities and ensuring the optimal utilization of BU ADC resources. The budget for the Administrative Core supports centralized administrative personnel and activities relevant to the overall mission of the BU ADC. The budgets for other administrative functions assigned to specific cores are included in individual core budgets.
The aims of the BU ADC administrative core are: 1. To integrate, coordinate, direct and plan all BUADC activities and to ensure full compliance with all human subjects, animal welfare, scientific integrity, and financial policy requirements of NIH while promoting a culture that values and promotes the highest standards of ethics in clinical care and research guided by input from the scientific and lay communities. 2. To foster innovative AD research through a strong pilot project program, by facilitating cross-core interactions, and by maximizing resource utilization to support affiliated programs such as the Framingham Heart Study and the Center for the Study of Traumatic Encephalopathy. 3. To partner with the local, regional, national and international AD research community to support high impact research including the Framingham Heart Study, ADNI, ADCS, AD genetics consortium, and industry sponsored clinical trials. To ensure that all mandated data sets, such as the UDS, are submitted to NACC in an accurate and timely manner. 4. To support and inform the communities we serve regarding the benefits of the BU ADC and AD research. We have an active and engaged Community Action Council, have a longstanding and strong affiliation with the Massachusetts Alzheimer Association, and actively partner with Continuing Care Retirement Communities in the greater Boston area.

Public Health Relevance

The Administrative Core serves as the interface between internal BU ADC activities and external entities and ensures that internal BU ADC operations are optimally managed. It makes certain that BU ADC activities are consistent with the mission of the national NIA ADC program and that it is doing its best to meet the needs of the AD community.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Center Core Grants (P30)
Project #
5P30AG013846-18
Application #
8501188
Study Section
Special Emphasis Panel (ZAG1-ZIJ-5)
Project Start
Project End
Budget Start
2013-07-01
Budget End
2014-06-30
Support Year
18
Fiscal Year
2013
Total Cost
$178,451
Indirect Cost
$36,824
Name
Boston University
Department
Type
DUNS #
604483045
City
Boston
State
MA
Country
United States
Zip Code
02118
Burke, Shanna L; Hu, Tianyan; Fava, Nicole M et al. (2018) Sex differences in the development of mild cognitive impairment and probable Alzheimer's disease as predicted by hippocampal volume or white matter hyperintensities. J Women Aging :1-25
Guan, Yue; Roter, Debra L; Wolff, Jennifer L et al. (2018) The impact of genetic counselors' use of facilitative strategies on cognitive and emotional processing of genetic risk disclosure for Alzheimer's disease. Patient Educ Couns 101:817-823
Li, Jinlei; Ogrodnik, Matthew; Devine, Sherral et al. (2018) Practical risk score for 5-, 10-, and 20-year prediction of dementia in elderly persons: Framingham Heart Study. Alzheimers Dement 14:35-42
Wang, Qi; Guo, Lei; Thompson, Paul M et al. (2018) The Added Value of Diffusion-Weighted MRI-Derived Structural Connectome in Evaluating Mild Cognitive Impairment: A Multi-Cohort Validation1. J Alzheimers Dis 64:149-169
Wang, Tingyan; Qiu, Robin G; Yu, Ming (2018) Predictive Modeling of the Progression of Alzheimer's Disease with Recurrent Neural Networks. Sci Rep 8:9161
Agogo, George O; Ramsey, Christine M; Gnjidic, Danijela et al. (2018) Longitudinal associations between different dementia diagnoses and medication use jointly accounting for dropout. Int Psychogeriatr 30:1477-1487
Alosco, Michael L; Sugarman, Michael A; Besser, Lilah M et al. (2018) A Clinicopathological Investigation of White Matter Hyperintensities and Alzheimer's Disease Neuropathology. J Alzheimers Dis 63:1347-1360
Cherry, Jonathan D; Mez, Jesse; Crary, John F et al. (2018) Variation in TMEM106B in chronic traumatic encephalopathy. Acta Neuropathol Commun 6:115
Brent, Robert J (2018) Estimating the monetary benefits of medicare eligibility for reducing the symptoms of dementia. Appl Econ 50:6327-6340
Deming, Yuetiva; Dumitrescu, Logan; Barnes, Lisa L et al. (2018) Sex-specific genetic predictors of Alzheimer's disease biomarkers. Acta Neuropathol 136:857-872

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