Distinct patterns of local oscillatory activity and functional connectivity underlie intersensory attention and temporal prediction. (January 2016)

• Record Type: Journal Article
• Authors: Keil, Julian; Pomper, Ulrich; Senkowski, Daniel
• Is Part Of: Cortex. Volume 74(2016)
• Page Start: 277
• Page End: 288
• Publication Date: 2016-01
• Subjects: Attention -- Functional connectivity -- EEG -- Graph theory -- Neural oscillations; Neuropsychology -- Periodicals; Nervous system -- Periodicals; Neurology -- Periodicals; Psychophysiology -- Periodicals; Behavior -- Periodicals; Neurology -- Periodicals; 612.825
• DOI: 10.1016/j.cortex.2015.10.023
• Languages: English
• ISSNs: 0010-9452

Abstract

Abstract: Intersensory attention (IA) describes our ability to attend to stimuli of one sensory modality, while disregarding other modalities. Temporal prediction (TP) describes the process of directing attention to specific moments in time. Both attention mechanisms facilitate sensory stimulus processing, yet it is not understood whether they rely on common or distinct network patterns. In this electroencephalography (EEG) study, we presented auditory cues followed by visuo-tactile stimuli. The cues indicated whether participants should detect visual or tactile targets in the visuo-tactile stimuli. TP was manipulated by presenting stimuli block-wise at fixed or variable inter-stimulus intervals. We analysed power and functional connectivity of source-projected oscillations. We computed graph theoretical measures to identify networks underlying IA and TP. Participants responded faster when stimuli were presented with fixed compared to variable inter-stimulus intervals, demonstrating a facilitating effect of TP. Distinct patterns of local delta-, alpha-, and beta-band power modulations and differential functional connectivity in the alpha- and beta-bands reflected the influence of IA and TP. An interaction between IA and TP was found in theta-band connectivity in a network comprising frontal, somatosensory and parietal areas. Our study provides insights into how IA and TP dynamically shape oscillatory power and functional connectivity to facilitate stimulus processing.