The Pacific Northwest Dementia and Aging (PANDA) Neuropathology (NP) Group is a cooperative effort between the Alzheimer's Disease (AD) Center (ADC) at Oregon Health &Science University (OHSU) and the AD Research Center (ADRC) at the University of Washington (UW) that was initiated in July 2003. The initial four Specific Aims of the PANDA NP Group are unchanged from our previous applications: 1. Provide diagnostic expertise to the diverse population of the Pacific Northwest by providing family members of the deceased and physicians involved in their care with timely autopsy reports based on the most current standardized diagnostic criteria. 2. Facilitate research by collecting, storing and distributing a highly accessible, but appropriately safeguarded, repository of well-prepared brain tissue and neuropathologic data from carefully and longitudinally characterized patients with mild cognitive impairment (MCI) or dementia as well as noncognitively impaired control individuals using a variety of methods that maximizes utility to scientists. 3. Teach trainees in pathology, neurology, psychology, psychiatry, and basic sciences the current methods of neuropathological classification of neurodegenerative diseases and age-related changes, and mentor junior faculty in NP. 4. Develop innovative new approaches to maximize achievements in Aims 1 to 3. Two new Specific Aims are focused on Targeted Molecular Testing: 5. Quantify targeted cerebrospinal fluid (CSF) biomarkers in the UW ADRC CSF Bank that derives in large part from the OHSU ADC and UW ADRC Clinical Cores to enhance the value of these specimens for research while insuring proper safeguards. 6. Provide expert preparation of DNA and targeted genetic testing relevant to AD and related neurodegenerative diseases.

Public Health Relevance

The PANDA NP Group harmonizes the diagnostic, brain banking, teaching, and innovative functions of OHSU and the UW in a single functional entity spread between these two Centers. We have found this approach to be highly productive in the past and propose to continue to use this structure to increase our understanding of AD, incipient dementia, and healthy aging.

National Institute of Health (NIH)
National Institute on Aging (NIA)
Center Core Grants (P30)
Project #
Application #
Study Section
Special Emphasis Panel (ZAG1-ZIJ-4)
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
Oregon Health and Science University
United States
Zip Code
Boespflug, Erin L; Schwartz, Daniel L; Lahna, David et al. (2018) MR Imaging-based Multimodal Autoidentification of Perivascular Spaces (mMAPS): Automated Morphologic Segmentation of Enlarged Perivascular Spaces at Clinical Field Strength. Radiology 286:632-642
Mejia Maza, Alan; Carmen-Orozco, Rogger P; Carter, Emma S et al. (2018) Axonal swellings and spheroids: a new insight into the pathology of neurocysticercosis. Brain Pathol :
Kaye, Jeffrey; Reynolds, Christina; Bowman, Molly et al. (2018) Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data. J Vis Exp :
Hanfelt, John J; Peng, Limin; Goldstein, Felicia C et al. (2018) Latent classes of mild cognitive impairment are associated with clinical outcomes and neuropathology: Analysis of data from the National Alzheimer's Coordinating Center. Neurobiol Dis 117:62-71
Zhou, Zilu; Wang, Weixin; Wang, Li-San et al. (2018) Integrative DNA copy number detection and genotyping from sequencing and array-based platforms. Bioinformatics 34:2349-2355
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
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
Teipel, Stefan; K├Ânig, Alexandra; Hoey, Jesse et al. (2018) Use of nonintrusive sensor-based information and communication technology for real-world evidence for clinical trials in dementia. Alzheimers Dement 14:1216-1231
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

Showing the most recent 10 out of 482 publications