| Literature DB >> 32715390 |
Weikun Niu1,2,3, Yuying Jiang1,2,3, Xin Zhang1,2, Tianzi Jiang1,2,4,3, Yujin Zhang5,6, Shan Yu7,8,9,10.
Abstract
Cross-modal selective attention enhances the processing of sensory inputs that are most relevant to the task at hand. Such differential processing could be mediated by a swift network reconfiguration on the macroscopic level, but this remains a poorly understood process. To tackle this issue, we used a behavioral paradigm to introduce a shift of selective attention between the visual and auditory domains, and recorded scalp electroencephalographic signals from eight healthy participants. The changes in effective connectivity caused by the cross-modal attentional shift were delineated by analyzing spectral Granger Causality (GC), a metric of frequency-specific effective connectivity. Using data-driven methods of pattern-classification and feature-analysis, we found that a change in the α band (12 Hz-15 Hz) of GC is a stable feature across different individuals that can be used to decode the attentional shift. Specifically, auditory attention induces more pronounced information flow in the α band, especially from the parietal-occipital areas to the temporal-parietal areas, compared to the case of visual attention, reflecting a reconfiguration of interaction in the macroscopic brain network accompanying different processing. Our results support the role of α oscillation in organizing the information flow across spatially-separated brain areas and, thereby, mediating cross-modal selective attention.Entities:
Keywords: Audiovisual selective attention; Granger Causality; Human EEG; Pattern classification
Mesh:
Year: 2020 PMID: 32715390 PMCID: PMC7475144 DOI: 10.1007/s12264-020-00550-2
Source DB: PubMed Journal: Neurosci Bull ISSN: 1995-8218 Impact factor: 5.203