The Neuropathology Core of this ADCC has the function to provide post-mortem diagnoses on patients and control subjects enrolled in the clinical core and on other well documented AD cases and controls, who are obtained via our satellite at the Sun Health Research Institute. Also part of this NP core and unchanged from the prior grant period, is a Morphometric Component performed at the Institute for Basic Research (IBR) on Staten Island. The Morphometric Component of this core is essential for the careful characterization of AD and control brain tissue in terms of the volume of different brain structures, number of neurons, glial cells, amyloid load and neurons with neurofibrillary change. This information can then be used for precise clinico-pathological correlation.
The Specific Aims of this Neuropathology Core are: 1. To conduct thorough postmortem examinations on ADCC patients (N=15-20/yr from NYU) and an average of 55/yr from the Sun Health Research Institute (average post-mortem time 2.83 hr.). 2. To maintain a bank of unfixed frozen and fixed tissue from the ADCC control and patients with AD or other dementing neurodegenerative conditions;as well as to bank plasma and CSF from these patients. 3. To provide tissue from control brains, AD and other neurodegenerative conditions to AD researchers within and outside this ADCC in order to augment clinical and basic research on AD. 4. To conduct morphometric studies on AD to establish better clinical neuropathological correlation, in particular to document the progression of the earlier stages of AD pathology. 5. To conduct anatomic and pathologic correlation with in vivo and post mortem MR scans in collaboration with the Neuroimaging Core. 6. To collaborate in the research efforts of the other cores and projects of the ADCC, as well as providing advice and facilities to investigators within and outside the ADCC.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Center Core Grants (P30)
Project #
5P30AG008051-20
Application #
7898812
Study Section
Special Emphasis Panel (ZAG1)
Project Start
Project End
Budget Start
2009-05-01
Budget End
2010-04-30
Support Year
20
Fiscal Year
2009
Total Cost
$257,498
Indirect Cost
Name
New York University
Department
Type
DUNS #
121911077
City
New York
State
NY
Country
United States
Zip Code
10016
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
de Leon, Mony J; Pirraglia, Elizabeth; Osorio, Ricardo S et al. (2018) The nonlinear relationship between cerebrospinal fluid A?42 and tau in preclinical Alzheimer's disease. PLoS One 13:e0191240
Lakshmanan, Karthik; Brown, Ryan; Madelin, Guillaume et al. (2018) An eight-channel sodium/proton coil for brain MRI at 3 T. NMR Biomed 31:
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
Herline, Krystal; Prelli, Frances; Mehta, Pankaj et al. (2018) Immunotherapy to improve cognition and reduce pathological species in an Alzheimer's disease mouse model. Alzheimers Res Ther 10:54
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
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

Showing the most recent 10 out of 604 publications