TBI-Related Risk Factors for Alzheimer's Disease: Early Detection and Prognosis via Multimodal Brain Imaging and Connectomics

Abstract

The purpose of this study is to utilize multimodal imaging to identify AD risk factors specific to the TBI population. The study scope involves (1) finding TBI-affected structural/connectomic features which are significantly associated with AD risk; and (2) imaging biomarkers which are statistically independent from other well-documented AD risk factors and which can assist with early identifying TBI survivors at risk for AD. In this reporting period, we performed automatic identification of AD/TBI pathology, calculated volumetrics, implemented connectomic/topological analyses, found TBI/AD-related connectome differences, published our results and disseminated them. Results indicate that the TBI affected brains of older adults experience neurodegeneration on a scale which rivals that of age- and sex-matched AD patients. We also found properties of the TBI-affected brain whose characteristics are commensurate with the likelihood of TBI survivors to exhibit accelerated neurodegeneration, which may lead to the identification of early biomarkers of high AD risk.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2022
Accession Number
AD1189868

Entities

People

  • Andrei Irimia

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Cyber
  • Energy and Power Technologies
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Brain
  • Brain Injuries
  • Data Mining
  • Health Services
  • Information Processing
  • Information Science
  • Medical Personnel
  • Network Science
  • Neurodegeneration
  • Neuroimaging
  • Neurosciences

Readers

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