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The Dynamic BrainAn Exploration of Neuronal Variability and Its Functional Significance$
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Mingzhou Ding, PhD and Dennis Glanzman,PhD

Print publication date: 2011

Print ISBN-13: 9780195393798

Published to Oxford Scholarship Online: September 2011

DOI: 10.1093/acprof:oso/9780195393798.001.0001

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

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

Chapter:
(p.183) 9 Capturing “Trial-to-Trial” Variations in Human Brain Activity: From Laboratory to Real World
Source:
The Dynamic Brain
Author(s):

Akaysha C. Tang

Matthew T. Sutherland

Zhen Yang

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195393798.003.0009

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

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