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Pre-stimulus functional networks modulate task performance in time-pressured evidence gathering and decision-making

机译:刺激前的功能网络在时间紧迫的证据收集和决策过程中调节任务绩效

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摘要

Rapid perceptual decision-making is believed to depend upon efficient allocation of neural resources to the processing of transient stimuli within task-relevant contexts. Given decision-making under severe time pressure, it is reasonable to posit that the brain configures itself, prior to processing stimulus information, in a way that depends upon prior beliefs and/or anticipation. However, relatively little is known about such configuration processes, how they might be manifested in the human brain, or ultimately how they mediate task performance. Here we show that network configuration, defined via pre-stimulus functional connectivity measures estimated from functional magnetic resonance imaging (fMRI) data, is predictive of performance in a time-pressured Go/No-Go task. Specifically, using connectivity measures to summarize network properties, we show that pre-stimulus brain state can be used to discriminate behaviorally correct and incorrect trials, as well as behaviorally correct commission and omission trial categories. More broadly, our results show that pre-stimulus functional configurations of cortical and sub-cortical networks can be a major determiner of task performance.
机译:据信,快速的感知决策取决于与任务相关的上下文中神经资源对瞬态刺激的处理的有效分配。如果在严重的时间压力下做出决策,则可以合理地假设,大脑在处理刺激信息之前会根据先前的信念和/或预期进行自我配置。但是,对于这样的配置过程,它们如何在人脑中表现出来,或者最终它们如何介导任务性能的了解相对较少。在这里,我们显示通过根据功能磁共振成像(fMRI)数据估算的刺激前功能连接性度量定义的网络配置可以预测在时间紧迫的执行/不执行任务中的性能。具体来说,使用连接性度量来总结网络属性,我们表明,刺激前的大脑状态可用于区分行为正确和错误的试验,以及行为正确的委托和遗漏试验类别。更广泛地说,我们的结果表明,皮质和皮质下网络的刺激前功能配置可能是决定任务绩效的主要因素。

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