University of California San Francisco
Neurology
Dr. Rabinovici is the Edward Fein and Pearl Landrith Distinguished Professor of Neurology and Radiology at the University of California San Francisco. His research investigates how structural, functional and molecular brain imaging techniques can be used to improve diagnostic accuracy in dementia and to study the biology of neurodegenerative diseases. He serves as co-Director of the UCSF ADRC, PI of the IDEAS and New IDEAS studies, and co-PI and PET Core lead of the LEADS study, among other projects. Dr. Rabinovici’s work is supported by the National Institutes of Health, the Alzheimer’s Association, the American College of Radiology, the Rainwater Charitable Foundation and additional foundations and industry partners. Awards recognizing his work include the 2015 Christopher Clark Award for human amyloid imaging, the 2012 American Academy of Neurology Research Award in Geriatric Neurology and the 2010 Best Paper in Alzheimer’s Disease Neuroimaging: New Investigator Award from the Alzheimer’s Association.

Presenter of 1 Presentation

PRE-RECORDED: MECHANISMS UNDERLYING HETEROGENEITY IN ALZHEIMER’S DISEASE: INSIGHTS FROM PET

Session Type
SYMPOSIUM
Date
Thu, 17.03.2022
Session Time
09:10 AM - 11:10 AM
Room
ONSITE: 112
Lecture Time
10:40 AM - 10:55 AM

Abstract

Abstract Body

Alzheimer’s disease (AD) is a remarkably heterogenous disorder in terms of clinical and cognitive presentations, longitudinal trajectories and anatomic patterns of neurodegeneration. While most patients present with progressive memory loss, a significant minority show primary decline in language (i.e., logopenic variant of primary progressive aphasia), visuospatial/visuoperceptual abilities (posterior cortical atrophy), executive functions, behavior or sensorimotor integration. This talk will describe the neuroimaging correlates of heterogeneity in AD, evaluating in vivo the relationships between the burden and distribution of amyloid and tau, neurodegeneration, brain physiology and clinical features of the disease. We will present how data-driven approaches have revealed reproducible patterns of tau deposition and neurodegeneration in AD, each corresponding to unique patient characteristics and clinical profiles. We will review putative modulators of AD phenotypes, including age at symptom onset, sex, APOE (and other genetic factors), neurodevelopmental differences and comorbid neuropathologies. We will conclude by discussing ramifications of heterogeneity for drug development and future precision medicine approaches for treating AD.

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