Computer Aided Decoding of Brain-Immune Interactions in Gulf War Illness (GWI): A Joint Embedding on Brain Connectomic and Immunogenetic Markers

Abstract

We employed a novel classification framework based on a combination of brain connectomics and immuno-genetic approaches of Gulf War Illness (GWI) to develop novel computer-based diagnostic systems and features. In this project year, we confirmed that veterans with GWI have clear group specific microstructural alteration in limbic/paralimbic regions compared to GW veterans without illness. Multimodal imaging measures in the highlighted cortical regions had important role in improving classification performances. Our results also showed that self-report mile Traumatic Brain Injury, depression or Post-Traumatic Stress Disorder symptom profiles have strong diagnostic values for classifying neurological deteriorations in GW veterans when they combined to the Kansas criteria. In the following project year, we will continue to update subject data and work on building the classifiers to enhance the classification outcomes.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2019
Accession Number
AD1088169

Entities

People

  • Bang-Bon Koo

Organizations

  • Boston University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Anxiety Disorders
  • Biomedical Research
  • Brain
  • Brain Injuries
  • Classification
  • Computer Programming
  • Computers
  • Data Processing
  • Data Science
  • Decoding
  • Department Of Defense
  • Diseases And Disorders
  • Graphical User Interface
  • Information Science
  • Machine Learning
  • Maximum Likelihood Estimation
  • Measurement
  • Medical Personnel
  • Neuroimaging
  • Pain
  • Persian Gulf Syndrome
  • Traumatic Stress Disorder

Readers

  • Computer Vision.
  • Gulf War Illness and Chronic Multisymptom Illness in Veterans.
  • Neuroscience

Technology Areas

  • Biotechnology