Alzheimer's disease (AD) is one of the greatest public health challenges in the United States. There is no cure for AD, but pharmaceutical companies and academia are investigating several disease-modifying medicines that target early stages of AD neuropathology, before the damage to the brain is irreparable. However, this re- search is impeded by the enormous costs of conducting AD clinical trials. These costs are high because it is difficult to identify individuals who have early symptomatic or presymptomatic AD, as well as because AD develops slowly and it takes a very long time to discover whether a treatment is effective. The goal of this project is to develop novel neuroimaging biomarkers that can serve as surrogate measures of brain degeneration in AD. This study will build on the success of the NIH/NIA Alzheimer The specific aims of this project are (1) to build a detailed three-dimensional computational atlas of the human hippocampus and entorhinal cortex using a combination of ultra high-resolution 9.4 Tesla MRI of autopsy tissue samples and histology;(2) to develop algorithms and software that would leverage this atlas for automatic detection of the subfields of the hippocampus and entorhinal cortex in in vivo MRI acquired with a T2-weighted protocol that targets this region;(3) to compare the effectiveness of 3 Tesla and 7 Tesla MRI scanners for imaging the medial temporal lobe and deriving biomarkers;and (4) to assess the sensitivity and specificity of the novel biomarkers for progression detection and cohort stratification in AD using imaging data from healthy elderly, individuals with mild cognitive impairment, AD patients, and patients with frontotemporal dementia.

Public Health Relevance

Alzheimer's disease is one of the greatest challenges public health challenges in the United States. This project aims to reduce the cost of conducting a clinical trial in Alzheimer's disease by making it easier to detect the effects of treatment in a relatively short time window and with fewer participants. If successful, this project may result in more clinical trials being launched and a greater likelihood of finding a cure for Alzheimer's disease.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Project (R01)
Project #
5R01AG037376-05
Application #
8667386
Study Section
Neurotechnology Study Section (NT)
Program Officer
Hsiao, John
Project Start
2010-05-01
Project End
2015-04-30
Budget Start
2014-06-15
Budget End
2015-04-30
Support Year
5
Fiscal Year
2014
Total Cost
$424,371
Indirect Cost
$159,139
Name
University of Pennsylvania
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
042250712
City
Philadelphia
State
PA
Country
United States
Zip Code
19104
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Xie, Long; Pluta, John; Wang, Hongzhi et al. (2014) Automatic clustering and thickness measurement of anatomical variants of the human perirhinal cortex. Med Image Comput Comput Assist Interv 17:81-8

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