Connectome Biomarkers for Predicting Alzheimer's Risk in Traumatic Brain Injury

Abstract

Many Veterans have suffered a traumatic brain injury (TBI), and recent studies have shown that head injury is a risk factor for the development of dementia or Alzheimers Disease (AD). Although there is strong emerging evidence that TBI and AD show similarities in neuropathology, measuring cellular and molecular changes following TBI is difficult in clinical populations. However, network analysis of resting state fMRI data is a non-invasive approach that can be used to characterize alterations in network communication in the brain in AD. The overall goal of this project is to characterize brain network alterations in AD as potential biomarkers, then determine whether these biomarkers are already present in the TBI brain, even prior to the onset of cognitive impairment or AD.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2021
Accession Number
AD1163328

Entities

People

  • Jane Joseph
  • Olga Brawman-mintzer

Organizations

  • Medical University of South Carolina

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Acquisition
  • Alzheimer Disease
  • Biological Markers
  • Biomedical Research
  • Brain Injuries
  • Cognitive Impairment
  • Covid-19
  • Data Management
  • Data Processing
  • Department Of Defense
  • Diseases And Disorders
  • Graph Theory
  • Machine Learning
  • Medical Personnel
  • Risk Factors
  • Social Media
  • South Carolina
  • Supervised Machine Learning
  • Universities

Fields of Study

  • Medicine

Readers

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