title: Electrophysiological evidence for spatiotemporal flexibility in the ventrolateral attention network.
abstract: Successful completion of many everyday tasks depends on interactions between voluntary attention, which acts to maintain current goals, and reflexive attention, which enables responding to unexpected events by interrupting the current focus of attention. Past studies, which have mostly examined each attentional mechanism in isolation, indicate that volitional and reflexive orienting depend on two functionally specialized cortical networks in the human brain. Here we investigated how the interplay between these two cortical networks affects sensory processing and the resulting overt behavior. By combining measurements of human performance and electrocortical recordings with a novel analytical technique for estimating spatiotemporal activity in the human cortex, we found that the subregions that comprise the reflexive ventrolateral attention network dissociate both spatially and temporally as a function of the nature of the sensory information and current task demands. Moreover, we found that together with the magnitude of the early sensory gain, the spatiotemporal neural dynamics accounted for the high amount of the variance in the behavioral data. Collectively these data support the conclusion that the ventrolateral attention network is recruited flexibly to support complex behaviors.
authors.affiliation: Department of Psychology, McGill University, Montreal, Canada. jelena.ristic@mcgill.ca
authors.forename: Jelena
authors.initials: J
authors.lastname: Ristic
authors.forename: Barry
authors.initials: B
authors.lastname: Giesbrecht
mesh_terms: D000328:Adult; D001288:Attention / Q000502:physiology*; D001931:Brain Mapping / Q000379:methods; D002540:Cerebral Cortex / Q000473:pathology; D003071:Cognition / Q000502:physiology; D004562:Electrocardiography / Q000379:methods*; D004594:Electrophysiology / Q000379:methods*; D005071:Evoked Potentials; D005260:Female; D006801:Humans; D008297:Male; D008954:Models, Biological; D009415:Nerve Net; D011930:Reaction Time / Q000502:physiology; D012044:Regression Analysis; D013997:Time Factors; D014796:Visual Perception / Q000502:physiology