Scientific Accomplishments for ARL Brain Structure-Function Couplings Research on Large-Scale Brain Networks from FY11-FY13 (DSI Final Report)

Abstract

The origin of individual differences in behavior is at the core of human science research. Many disciplines have relied on behavior alone, but the field of neuroscience capitalizes on continual advancements in brain imaging methodologies, computational approaches, and modeling techniques to better understand and predict the interaction between the brain and behavior. Leveraging recent innovations in structural imaging and computational modeling, our research program on brain structure-function couplings combines experimental and modeling research to study large-scale brain networks. Our program has three intertwined research areas: neurophysiological data collection and analysis to examine empirical relationships among structure, function, and behavior that capture individual differences; neurophysiological modeling to identify theoretical relationships between structural network topologies and functional activity patterns; and biomechanical modeling to simulate how blast and blunt impact loading conditions transfer to estimated tissue cell death and associated damage to structural connectivity. This report reviews our scientific accomplishments from FY11 FY13 with references to associated publications.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2014
Accession Number
ADA598130

Entities

People

  • Alfred Yu
  • Amy M Dagro
  • Jean M Vettel
  • Kaleb G. McDowell
  • Manny Vindiola
  • P. J. Mckee
  • Piotr J. Franaszczuk

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Brain
  • Brain Injuries
  • Cognition
  • Cognitive Science
  • Computational Neuroscience
  • Computational Science
  • Computer Vision
  • Detection
  • Health Services
  • Information Science
  • Mathematical Models
  • Medical Personnel
  • Multiscale Modeling
  • Network Science
  • Neuroimaging
  • Neurosciences
  • Neurotechnology

Readers

  • Neuroscience
  • Systems Analysis and Design
  • Technical Research and Report Writing.