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Complementary Roles of Systems Representing Sensory Evidence and Systems Detecting Task Difficulty During Perceptual Decision Making

机译:感知决策中代表感觉证据的系统和系统检测任务难度的系统的互补作用

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摘要

Perceptual decision making is a multi-stage process where incoming sensory information is used to select one option from several alternatives. Researchers typically have adopted one of two conceptual frameworks to define the criteria for determining whether a brain region is involved in decision computations. One framework, building on single-unit recordings in monkeys, posits that activity in a region involved in decision making reflects the accumulation of evidence toward a decision threshold, thus showing the lowest level of BOLD signal during the hardest decisions. The other framework instead posits that activity in a decision-making region reflects the difficulty of a decision, thus showing the highest level of BOLD signal during the hardest decisions. We had subjects perform a face detection task on degraded face images while we simultaneously recorded BOLD activity. We searched for brain regions where changes in BOLD activity during this task supported either of these frameworks by calculating the correlation of BOLD activity with reaction time – a measure of task difficulty. We found that the right supplementary eye field, right frontal eye field, and right inferior frontal gyrus had increased activity relative to baseline that positively correlated with reaction time, while the left superior frontal sulcus and left middle temporal gyrus had decreased activity relative to baseline that negatively correlated with reaction time. We propose that a simple mechanism that scales a region's activity based on task demands can explain our results.
机译:感知决策是一个多阶段的过程,其中传入的感官信息用于从几种选择中选择一个选项。研究人员通常采用两个概念框架之一来定义确定大脑区域是否参与决策计算的标准。一个建立在猴子单单位录音基础上的框架认为,参与决策的区域中的活动反映了朝决策阈值累积的证据,从而在最困难的决策中显示出最低水平的BOLD信号。相反,另一个框架假定在决策区域中的活动反映了决策的难度,因此在最困难的决策期间显示最高级别的BOLD信号。我们让受试者在降级的人脸图像上执行人脸检测任务,同时记录BOLD活动。我们通过计算BOLD活动与反应时间的相关性(任务难度的量度)来搜索在此任务期间BOLD活动的变化支持这些框架之一的大脑区域。我们发现,相对于基线,右眼补充视场,右额眼前视域和右额下回活动增加,与反应时间呈正相关;而相对于基线,左上额沟和左颞中回活动减少。与反应时间负相关。我们建议一种基于任务需求扩展区域活动的简单机制可以解释我们的结果。

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