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

Abstract

Magnetic resonance imaging (MRI) has been successfully applied to identify neurological changes prior to the AD onset. The central objective in this project is to investigate the utility of the novel MRI markers in predicting 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 first project year, we analyzed baseline MRI scans from the veterans and also processed ADNI data. We also tested new machine learning framework to define better imaging biomarkers and enhance the prognostic power on AD risks.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2021
Accession Number
AD1143452

Entities

People

  • Bang-Bon Koo

Organizations

  • Boston University School of Medicine

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Alzheimer Disease
  • Brain
  • Brain Injuries
  • Cognitive Impairment
  • Computer Languages
  • Computers
  • Data Processing
  • Diseases And Disorders
  • Machine Learning
  • Medical Personnel
  • Military Personnel
  • Neurodegeneration
  • Neuroimaging
  • Pain
  • Parkinson'S Disease
  • Persian Gulf Syndrome
  • Risk Factors

Readers

  • Medical Imaging.
  • Neurotrauma and Rehabilitation Medicine.
  • 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