Validating Novel Brain Imaging Biomarkers for Classifying Mild Traumatic Brain Injury and Subsequent Risks of Alzheimer's Disease in Gulf War Veterans

Abstract

The central objective in this project is to investigate the utility of the novel MRI markers in determining progressive neurological damage in veterans with mild traumatic brain injury (mTBI), estimate the probability of AD progression based on the neuroimaging proximity measures between mTBI and AD prognostic imaging markers, and build a computational model to provide accurate classification of mTBI and prediction of subsequent risk of AD. In the third project year, we processed and analyzed the second time point MRI scans from the veterans. Machine learning classifier for AD risk has been continuously updated and tested. We also added a normative brain modeling to analyze data in a large-scale point of view. However, the second time point data acquisition is still ongoing, and thereby, one year no-cost extension (NCE) was submitted and got approved in this project year.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2023
Accession Number
AD1208676

Entities

People

  • Bang-Bon Koo

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Acquisition
  • Alzheimer Disease
  • Biomedical Research
  • Brain Injuries
  • Classification
  • Data Acquisition
  • Data Analysis
  • Data Preprocessing
  • Data Processing
  • Deep Learning
  • Diseases
  • Health Services
  • Image Processing
  • Intensity
  • Learning
  • Machine Learning
  • Medical Personnel
  • Neuroimaging
  • Persian Gulf Syndrome

Readers

  • Clinical Trial Research.
  • Computer Vision.
  • Traumatic Brain Injury (TBI) and Cognitive Aging in the Guam and Border Populations Affected by Alzheimer's Disease and Tau-Associated Dementias.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Neural Networks