Chapter

Capturing “Trial-to-Trial” Variations in Human Brain Activity: From Laboratory to Real World

Akaysha C. Tang, Matthew T. Sutherland and Zhen Yang

in The Dynamic Brain

Published in print January 2011 | ISBN: 9780195393798
Published online September 2011 | e-ISBN: 9780199897049 | DOI: http://dx.doi.org/10.1093/acprof:oso/9780195393798.003.0009
Capturing “Trial-to-Trial” Variations in Human Brain Activity: From Laboratory to Real World

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To understand cognition and emotion in the real world, it is critical to investigate the phenomena of interest within the rich context of moment-to-moment variations in the real world, which we assume is at least in part encoded in the high-dimensional state of the brain. Here the chapter reviews empirical evidence from a series of novel validation studies that demonstrate the technical capabilities of one blind source separation (BSS) algorithm—second-order blind identification (SOBI)—in enabling neuronscientists and clinicians to investigate human brain functions, cognition, and behavior using the electroencephalography (EEG). The chapter concludes that by shifting from an EEG-sensor-based to a neuronal-source-based characterization of brain states, one may better capture the rich context of moment-to-moment variations in the real world.

Keywords: independent component analysis; blind source separation; EEG; context effect; source localization; internal validity; external validity; reliability; cross-subject; reliability; cross-time; efficiency

Chapter.  8553 words.  Illustrated.

Subjects: Neuroscience

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