EEG-Based Quantification of Cortical Current Density and Dynamic Causal Connectivity Generalized across Subjects Performing BCI-Monitored Cognitive Tasks

• Published in: Frontiers in neuroscience Vol. 11; p. 180
• Main Authors: Courellis, Hristos, Mullen, Tim, Poizner, Howard, Cauwenberghs, Gert, Iversen, John R.
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Research Foundation 17.05.2017; Frontiers Media S.A
• Subjects: Algorithms; Brain; brain-computer interface (BCI); Causality; causality analysis; Cognitive ability; Computational neuroscience; Cortex; Decomposition; EEG; Electroencephalography; electroencephalography (EEG); Handedness; Implants; independent component analysis; Localization; LORETA; Medical imaging; Nervous system; Neural networks; Neuroscience; Neurosciences; Pipelines; Saccadic eye movements; source localization; Tomography; United States > US; California; causality analysis; electroencephalography (EEG); independent component analysis; brain-computer interface (BCI); spatial reach and saccade; source localization; LORETA; motor activity
• ISSN: 1662-453X; 1662-4548; 1662-453X
• DOI: 10.3389/fnins.2017.00180

Quantification of dynamic causal interactions among brain regions constitutes an important component of conducting research and developing applications in experimental and translational neuroscience. Furthermore, cortical networks with dynamic causal connectivity in brain-computer interface (BCI) ap...