title: Dynamic spatiotemporal brain analyses of the visual checkerboard task: Similarities and differences between passive and active viewing conditions.
abstract: We introduce a new analytic technique for the microsegmentation of high-density EEG to identify the discrete brain microstates evoked by the visual reversal checkerboard task. To test the sensitivity of the present analytic approach to differences in evoked brain microstates across experimental conditions, subjects were instructed to (a) passively view the reversals of the checkerboard (passive viewing condition), or (b) actively search for a target stimulus that may appear at the fixation point, and they were offered a monetary reward if they correctly detected the stimulus (active viewing condition). Results revealed that, within the first 168 ms of a checkerboard presentation, the same four brain microstates were evoked in the passive and active viewing conditions, whereas the brain microstates evoked after 168 ms differed between these two conditions, with more brain microstates elicited in the active than in the passive viewing condition. Additionally, distinctions were found in the active condition between a change in a scalp configuration that reflects a change in microstate and a change in scalp configuration that reflects a change in the level of activation of the same microstate. Finally, the bootstrapping procedure identified that two microstates lacked robustness even though statistical significance thresholds were met, suggesting these microstates should be replicated prior to placing weight on their generalizability across individuals. These results illustrate the utility of the analytic approach and provide new information about the spatiotemporal dynamics of the brain states underlying passive and active viewing in the visual checkerboard task.
authors.affiliation: Department of Psychiatry and Behavioral Neuroscience, and High-Performance Electrical Neuroimaging Laboratory, Biological Sciences Division, The University of Chicago Prtizker School of Medicine, Chicago, Illinois, USA. scacioppo@yoda.bsd.uchicago.edu.
authors.forename: Stephanie
authors.initials: S
authors.lastname: Cacioppo
authors.affiliation: Research Computing Center, University of Chicago, Chicago, Illinois, USA.
authors.forename: Robin M
authors.initials: RM
authors.lastname: Weiss
authors.affiliation: Department of Psychology and Center for Cognitive and Social Neuroscience, University of Chicago, Chicago, Illinois, USA.
authors.forename: John T
authors.initials: JT
authors.lastname: Cacioppo
mesh_terms: D000328:Adult; D001921:Brain; D002540:Cerebral Cortex / Q000502:physiology*; D004569:Electroencephalography / Q000379:methods*; D005260:Female; D006801:Humans; D008297:Male; D012815:Signal Processing, Computer-Assisted; D062211:Spatio-Temporal Analysis; D014796:Visual Perception / Q000502:physiology*; D055815:Young Adult
keywords: Attention; ERPs; Visual processes