摘要
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 a 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.
基金
supported by the National Key Research and Development Program of China (2017YFA0105203)
the Strategic Priority Research Program of the Chinese Academy of Sciences (CAS) (XDB32040200 and XDB32030200)
the Key Research Program of Frontier Sciences,CAS (QYZDJ-SSWSMC019)
the National Natural Science Foundation of China (81871398,U1636121,and 31571003)。
