Value-driven Crossmodal Attention

注意力可以被自动引导到自下而上的显著刺激，自上而下的目标相关刺激，甚至是之前与奖励或损失相关的刺激特征。后者被称为价值驱动的注意选择。迄今为止，价值驱动的注意选择主要使用模态内刺激-奖励随因进行研究。这对理解日常生活中基于价值的注意选择的更广泛机制构成了理论上的限制，例如，典型的多感官环境。当前项目的目的是揭示价值驱动的跨模式注意的行为特征和潜在的神经特征和大脑网络。为此，研究计划的设计，首先，确定价值驱动的注意力是否可以在不同的感官模式中传播；其次，确定哪个处理水平是由价值驱动的注意力调节的（例如，模态内特征/维度地图的水平，特定于模态的地图，或一些综合的，超模态主地图）；第三，揭示注意负荷对价值驱动型注意的影响；第四，通过结合行为学、脑电图和功能磁共振成像方法，研究基于价值的大脑网络和注意网络之间的相互作用（与上述的行为工作包平行）。

Attention can be automatically guided to bottom-up salient stimuli, top-down to goal-related stimuli, or even to stimulus features that were previously associated with reward or loss. The latter has been referred to as value-driven attentional selection. To date, value-driven attentional selection has mainly been investigated using intra-modality stimulus-reward contingencies. This poses theoretical limitations to understanding the broader mechanisms underlying value-based attentional selection in everyday, i.e., typically, multisensory environments. The aim of the current project is to uncover the behavioral characteristics and the underlying neural signatures and brain networks of value-driven crossmodal attention. To this end, the studies planned are designed, first, to determine whether value-driven attention can spread across separate sensory modalities; second, to identify which processing level is modulated by value-driven attention (e.g., the level of intra-modal feature/dimension maps, modality-specific maps, or some integrative, supra-modal master map); third, to uncover how attentional load biases value-driven attention; and, fourth to examine (in a parallel strand with the above, behavioral work packages) the interplay between the value-based brain network and the attention network(s) by combining behavioral with EEG and fMRI methodologies.