Boston Biorepository, Recruitment, and Integrative Network (BBRAIN) for GWI

Abstract

The primary objective of BBRAIN is to establish a retrospective and prospective biorepository network for GWI research by data mining from existing BBRAIN collaborator specimens and for recruiting 500 additional repository samples. The four prospective recruitment resource sites include Boston, Miami, Bronx and San Francisco. The BBRAIN structure provides centralized cataloguing and coordination of retrospective biorepository samples from 10 collaborating institutions who are sharing existing blood plasma, sera, PBMCs, cerebrospinal fluid, human-induced pluripotent stem cells (hiPSCs), DNA and saliva samples. Corresponding cognitive outcomes, brain imaging, demographics and health symptom surveys are included in the BBRAIN network datasets to allow for the comparison of biomarkers with behavioral outcomes. To date, data usage and material transfer agreements have been put in place with all sites and sharing has begun with retrospective data and outcomes.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2020
Accession Number
AD1120923

Entities

People

  • Kimberly Sullivan

Organizations

  • Boston University Medical Campus

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Anxiety Disorders
  • Biological Markers
  • Blood
  • Brain Injuries
  • Chemical Warfare
  • Chemical Warfare Agents
  • Chemical Weapons
  • Data Management
  • Data Mining
  • Demography
  • Depression
  • Factor Analysis
  • Health Services
  • Information Processing
  • Information Science
  • Instructions
  • Medical Personnel
  • Neuroimaging
  • Persian Gulf Syndrome
  • Psychology
  • Quality Control
  • Stem Cells
  • Students
  • Test Methods
  • Traumatic Stress Disorder
  • United States

Readers

  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Gulf War Illness and Chronic Multisymptom Illness in Veterans.
  • Oncology and Biomarker-Based Cancer Detection.

Technology Areas

  • AI & ML
  • Biotechnology