Moving Beyond ERP Components: A Selective Review of Approaches to Integrate EEG and Behavior

• Published in: Frontiers in human neuroscience Vol. 12; p. 106
• Main Authors: Bridwell, David A., Cavanagh, James F., Collins, Anne G. E., Nunez, Michael D., Srinivasan, Ramesh, Stober, Sebastian, Calhoun, Vince D.
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Research Foundation 26.03.2018; Frontiers Media S.A
• Subjects: Artificial intelligence; Bayesian analysis; Behavior; blind source separation; Brain research; canonical correlations analysis; Clinical trials; Cognitive ability; Cognitive models; Decomposition; EEG; Electroencephalography; ERP; Event-related potentials; Machine learning; Mathematical models; Medical imaging; Neuroimaging; Neuroscience; Neurosciences; partial least squares; representational similarity analysis; Reviews; Statistical analysis; New Mexico; United States > US; California; deep learning; representational similarity analysis; ERP; EEG; canonical correlations analysis; partial least squares; blind source separation; hierarchical Bayesian model

Relationships between neuroimaging measures and behavior provide important clues about brain function and cognition in healthy and clinical populations. While electroencephalography (EEG) provides a portable, low cost measure of brain dynamics, it has been somewhat underrepresented in the emerging f...