Sridharan Devarajan, Steinmetz Nicholas A, Moore Tirin, Knudsen Eric I
Centre for Neuroscience, Indian Institute of Science, Bengaluru, India,
Department of Neurobiology and.
J Neurosci. 2017 Jan 18;37(3):480-511. doi: 10.1523/JNEUROSCI.4505-14.2017.
Distinct networks in the forebrain and the midbrain coordinate to control spatial attention. The critical involvement of the superior colliculus (SC)-the central structure in the midbrain network-in visuospatial attention has been shown by four seminal, published studies in monkeys (Macaca mulatta) performing multialternative tasks. However, due to the lack of a mechanistic framework for interpreting behavioral data in such tasks, the nature of the SC's contribution to attention remains unclear. Here we present and validate a novel decision framework for analyzing behavioral data in multialternative attention tasks. We apply this framework to re-examine the behavioral evidence from these published studies. Our model is a multidimensional extension to signal detection theory that distinguishes between two major classes of attentional mechanisms: those that alter the quality of sensory information or "sensitivity," and those that alter the selective gating of sensory information or "choice bias." Model-based simulations and model-based analyses of data from these published studies revealed a converging pattern of results that indicated that choice-bias changes, rather than sensitivity changes, were the primary outcome of SC manipulation. Our results suggest that the SC contributes to attentional performance predominantly by generating a spatial choice bias for stimuli at a selected location, and that this bias operates downstream of forebrain mechanisms that enhance sensitivity. The findings lead to a testable mechanistic framework of how the midbrain and forebrain networks interact to control spatial attention.
Attention involves the selection of the most relevant information for differential sensory processing and decision making. While the mechanisms by which attention alters sensory encoding (sensitivity control) are well studied, the mechanisms by which attention alters decisional weighting of sensory evidence (choice-bias control) are poorly understood. Here, we introduce a model of multialternative decision making that distinguishes bias from sensitivity effects in attention tasks. With our model, we simulate experimental data from four seminal studies that microstimulated or inactivated a key attention-related midbrain structure, the superior colliculus (SC). We demonstrate that the experimental effects of SC manipulation are entirely consistent with the SC controlling attention by changing choice bias, thereby shedding new light on how the brain mediates attention.
前脑和中脑的不同网络协同作用以控制空间注意力。在执行多选项任务的恒河猴中进行的四项具有开创性的已发表研究表明,中脑网络的核心结构——上丘(SC)——在视觉空间注意力中起着关键作用。然而,由于缺乏解释此类任务中行为数据的机制框架,SC对注意力的贡献性质仍不明确。在此,我们提出并验证了一种用于分析多选项注意力任务中行为数据的新型决策框架。我们应用此框架重新审视这些已发表研究中的行为证据。我们的模型是信号检测理论的多维扩展,可区分两类主要的注意力机制:一类改变感觉信息的质量或“敏感性”,另一类改变感觉信息的选择性门控或“选择偏差”。基于模型的模拟以及对这些已发表研究数据的基于模型的分析揭示了一种趋同的结果模式,表明选择偏差的变化而非敏感性的变化是SC操纵的主要结果。我们的结果表明,SC主要通过为选定位置的刺激产生空间选择偏差来促进注意力表现,并且这种偏差在前脑增强敏感性的机制下游起作用。这些发现引出了一个关于中脑和前脑网络如何相互作用以控制空间注意力的可测试机制框架。
注意力涉及为差异感觉处理和决策选择最相关的信息。虽然注意力改变感觉编码(敏感性控制)的机制已得到充分研究,但注意力改变感觉证据决策权重(选择偏差控制)的机制却知之甚少。在此,我们引入一种多选项决策模型,该模型在注意力任务中区分偏差和敏感性效应。利用我们的模型,我们模拟了四项开创性研究的实验数据,这些研究对一个与注意力相关的关键中脑结构——上丘(SC)进行了微刺激或使其失活。我们证明,SC操纵的实验效应与SC通过改变选择偏差来控制注意力完全一致,从而为大脑如何介导注意力提供了新的见解。