title: Linear spatial integration for single-trial detection in encephalography.
abstract: Conventional analysis of electroencephalography (EEG) and magnetoencephalography (MEG) often relies on averaging over multiple trials to extract statistically relevant differences between two or more experimental conditions. In this article we demonstrate single-trial detection by linearly integrating information over multiple spatially distributed sensors within a predefined time window. We report an average, single-trial discrimination performance of Az approximately 0.80 and faction correct between 0.70 and 0.80, across three distinct encephalographic data sets. We restrict our approach to linear integration, as it allows the computation of a spatial distribution of the discriminating component activity. In the present set of experiments the resulting component activity distributions are shown to correspond to the functional neuroanatomy consistent with the task (e.g., contralateral sensorymotor cortex and anterior cingulate). Our work demonstrates how a purely data-driven method for learning an optimal spatial weighting of encephalographic activity can be validated against the functional neuroanatomy.
authors.affiliation: Vision Technologies Laboratory, Sarnoff Corporation, Princeton, New Jersey 08540, USA.
authors.forename: Lucas
authors.initials: L
authors.lastname: Parra
authors.forename: Chris
authors.initials: C
authors.lastname: Alvino
authors.forename: Akaysha
authors.initials: A
authors.lastname: Tang
authors.forename: Barak
authors.initials: B
authors.lastname: Pearlmutter
authors.forename: Nick
authors.initials: N
authors.lastname: Yeung
authors.forename: Allen
authors.initials: A
authors.lastname: Osman
authors.forename: Paul
authors.initials: P
authors.lastname: Sajda
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003627:Data Interpretation, Statistical; D004569:Electroencephalography / Q000379:methods*; D007839:Functional Laterality / Q000502:physiology; D006801:Humans; D007092:Imagination / Q000502:physiology; D016014:Linear Models; D015225:Magnetoencephalography / Q000379:methods*; D008959:Models, Neurological; D009043:Motor Activity / Q000502:physiology; D009068:Movement / Q000502:physiology; D011597:Psychomotor Performance / Q000502:physiology