Real-World Neuroimaging Technologies

Kaleb McDowell, Chin-Teng Lin, Kelvin Oie, Tzyy Ping Jung, Stephen Gordon, Keith Whitaker, Shih Yu Li, Shao Wei Lu, W. David Hairston

Research output: Contribution to journalArticlepeer-review

67 Scopus citations

Abstract

Decades of heavy investment in laboratory-based brain imaging and neuroscience have led to foundational insights into how humans sense, perceive, and interact with the external world. However, it is argued that fundamental differences between laboratory-based and naturalistic human behavior may exist. Thus, it remains unclear how well the current knowledge of human brain function translates into the highly dynamic real world. While some demonstrated successes in real-world neurotechnologies are observed, particularly in the area of brain-computer interaction technologies, innovations and developments to date are limited to a small science and technology community. We posit that advancements in real world neuroimaging tools for use by a broad-based workforce will dramatically enhance neurotechnology applications that have the potential to radically alter human system interactions across all aspects of everyday life. We discuss the efforts of a joint government-academic-industry team to take an integrative, interdisciplinary, and multi-aspect approach to translate current technologies into devices that are truly fieldable across a range of environments. Results from initial work, described here, show promise for dramatic advances in the field that will rapidly enhance our ability to assess brain activity in real-world scenarios.
Original languageEnglish
Pages (from-to)131-149
Number of pages19
JournalIEEE Access
Volume1
DOIs
StatePublished - 2013

Keywords

  • PHANTOM
  • SIGNALS
  • FATIGUE
  • COGNITION
  • TASK
  • CLASSIFICATION
  • DYNAMICS
  • EEG
  • DRIVING PERFORMANCE
  • PHASE-SYNCHRONIZATION;

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