物理凸显和价值驱动凸显通过不同的神经机制增强注意选择。
Physical Salience and Value-Driven Salience Operate through Different Neural Mechanisms to Enhance Attentional Selection.
机构信息
Center for Cognitive Neuroscience, Duke University, Durham, North Carolina 27708.
Center for Cognitive Neuroscience, Duke University, Durham, North Carolina 27708
出版信息
J Neurosci. 2020 Jul 8;40(28):5455-5464. doi: 10.1523/JNEUROSCI.1198-19.2020. Epub 2020 May 29.
Previous studies have indicated that both increased physical salience and increased reward-value salience of a target improve behavioral measures of attentional selection. It is unclear, however, whether these two forms of salience interact with attentional networks through similar or different neural mechanisms, and what such differences might be. We examined this question by separately manipulating both the value-driven and physical salience of targets in a visual search task while recording response times (RTs) and event-related potentials, focusing on the attentional-orienting-sensitive N2pc event-related potential component. Human participants of both sexes searched arrays for targets of either a high-physical-salience color or one of two low-physical-salience colors across three experimental phases. The first phase ("baseline") offered no rewards. RT and N2pc latencies were shorter for high-physical-salience targets, indicating faster attentional orienting. In the second phase ("equal-reward"), a low monetary reward was given for fast correct responses for all target types. This reward context improved overall performance, similarly shortening RTs and enhancing N2pc amplitudes for all target types, but with no change in N2pc latencies. In the third phase ("selective-reward"), the reward rate was made selectively higher for one of the two low-physical-salience colors, resulting in their RTs becoming as fast as the high-physical-salience targets. Despite the equally fast RTs, the N2pc's for these low-physical-salience, high-value targets remained later than for high-physical-salience targets, instead eliciting significantly larger N2pc's. These results suggest that enhanced physical salience leads to faster attentional orienting, but value-driven salience to stronger attentional orienting, underscoring the utilization of different underlying mechanisms. Associating relevant target stimuli with reward value can enhance their salience, facilitating their attentional selection. This value-driven salience improves behavioral performance, similar to the effects of physical salience. Recent theories, however, suggest that these forms of salience are intrinsically different, although the neural mechanisms underlying any such differences remain unclear. This study addressed this issue by manipulating the physical and value-related salience of targets in a visual search task, comparing their effects on several attention-sensitive neural-activity measures. Our findings show that, whereas physical salience accelerates the speed of attentional selection, value-driven salience selectively enhances its strength. These findings shed new insights into the theoretical and neural underpinnings of value-driven salience and its effects on attention and behavior.
先前的研究表明,目标的物理显著性和奖励价值显著性的增加都可以改善注意力选择的行为测量。然而,目前尚不清楚这两种显著性是否通过相似或不同的神经机制与注意力网络相互作用,以及这些差异可能是什么。我们通过在视觉搜索任务中分别操纵目标的价值驱动和物理显著性,同时记录反应时间 (RT) 和事件相关电位,来研究这个问题,重点关注注意力导向敏感的 N2pc 事件相关电位成分。在三个实验阶段,男性和女性的人类参与者在搜索数组中寻找高物理显著性颜色或两种低物理显著性颜色的目标。第一阶段(“基线”)不提供任何奖励。对于高物理显著性的目标,RT 和 N2pc 潜伏期较短,表明注意力定向更快。在第二阶段(“同等奖励”),对于所有目标类型,快速正确反应都会得到低货币奖励。这种奖励背景提高了整体表现,同样缩短了所有目标类型的 RT 并增强了 N2pc 幅度,但 N2pc 潜伏期没有变化。在第三阶段(“选择性奖励”),对于两种低物理显著性颜色之一,奖励率变得更高,导致它们的 RT 变得与高物理显著性目标一样快。尽管 RT 同样快,但这些低物理显著性、高价值目标的 N2pc 仍然晚于高物理显著性目标,反而引起了明显更大的 N2pc。这些结果表明,增强的物理显著性导致更快的注意力定向,而价值驱动的显著性导致更强的注意力定向,突出了不同基础机制的利用。将相关目标刺激与奖励价值相关联可以增强它们的显著性,从而促进它们的注意力选择。这种价值驱动的显著性提高了行为表现,类似于物理显著性的效果。然而,最近的理论表明,这些形式的显著性在本质上是不同的,尽管其潜在的神经机制尚不清楚。本研究通过在视觉搜索任务中操纵目标的物理和与价值相关的显著性,比较它们对几种注意力敏感的神经活动测量的影响,解决了这个问题。我们的研究结果表明,虽然物理显著性加速了注意力选择的速度,但价值驱动的显著性选择性地增强了其强度。这些发现为价值驱动的显著性及其对注意力和行为的影响的理论和神经基础提供了新的见解。
相似文献
Cortex. 2018-10-5
J Exp Psychol Hum Percept Perform. 2012-11-19
Psychophysiology. 2016-7
Brain Res. 2013-8-2
引用本文的文献
Psychol Res. 2024-3
Psychon Bull Rev. 2022-8
Cogn Affect Behav Neurosci. 2022-4
本文引用的文献
Curr Opin Psychol. 2018-11-13
Front Hum Neurosci. 2017-11-7
Psychon Bull Rev. 2018-4
Neuroimage. 2016-10-5
J Cogn Neurosci. 2016-4
J Exp Psychol Gen. 2015-1-5
Brain Res. 2014-10-31
Cogn Affect Behav Neurosci. 2014-6