Keil Julian, Pomper Ulrich, Senkowski Daniel
Charité - Universitätsmedizin Berlin, Department of Psychiatry and Psychotherapy, Berlin, Germany.
Charité - Universitätsmedizin Berlin, Department of Psychiatry and Psychotherapy, Berlin, Germany; UCL Ear Institute, London, UK.
Cortex. 2016 Jan;74:277-88. doi: 10.1016/j.cortex.2015.10.023. Epub 2015 Nov 11.
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.
跨感觉通道注意（IA）描述了我们专注于一种感觉通道的刺激，同时忽略其他通道刺激的能力。时间预测（TP）描述了将注意力导向特定时刻的过程。这两种注意机制都有助于感觉刺激的处理，但它们是否依赖于共同或不同的网络模式尚不清楚。在这项脑电图（EEG）研究中，我们呈现了听觉线索，随后是视觉触觉刺激。这些线索表明参与者是否应该在视觉触觉刺激中检测视觉或触觉目标。通过以固定或可变的刺激间隔逐块呈现刺激来操纵TP。我们分析了源投射振荡的功率和功能连接性。我们计算了图论指标以识别IA和TP背后的网络。与可变的刺激间隔相比，当以固定的刺激间隔呈现刺激时，参与者的反应更快，这表明了TP的促进作用。局部δ、α和β波段功率调制的不同模式以及α和β波段中不同的功能连接性反映了IA和TP的影响。在一个包括额叶、体感和顶叶区域的网络的θ波段连接性中发现了IA和TP之间的相互作用。我们的研究深入了解了IA和TP如何动态塑造振荡功率和功能连接性以促进刺激处理。
