Cognitive Neuroscience Center, Reward and Decision-Making Group, Centre National pour la Recherche Scientifique, Unité Mixte de Recherche 5229, 69675 Bron, France.
J Neurosci. 2010 Oct 27;30(43):14305-17. doi: 10.1523/JNEUROSCI.2371-10.2010.
Perceptual decisions are made when sensory evidence accumulated over time reaches a decision threshold. Because decisions are also guided by prior information, one important factor that is likely to shape how a decision is adaptively tuned to its context is the predictability of forthcoming events. However, little is known about the mechanisms underlying this contextual regulation of the perceptual decision-making process. Mathematical models of decision making predict two possible mechanisms supporting this regulation: an adjustment of the distance to the decision threshold, which leads to a change in the amount of accumulated evidence required to make a decision, or a gain control of the sensory evidence, leading to a change in the slope of the sensory evidence accumulation. Here, we show that predictability of the forthcoming event reduces the distance to the threshold of the decision. Then, combining model-driven fMRI and the framework of information theory, we show that the anterior cingulate cortex (ACC) adjusts the distance to the decision threshold in proportion to the current amount of predictive information and that the dorsolateral cortex (DLPFC) codes the accumulation of sensory evidence. Moreover, the information flow from the ACC to the DLPFC region that accumulates sensory evidence increases when optimal adjustment of the distance to the threshold requires more complex computations, reflecting the increased weight of ACC's regulation signals in the decision process. Our results characterize the respective contributions of the ACC and the DLPFC to contextually optimized decision making.
当随时间积累的感官证据达到决策阈值时,就会做出感知决策。由于决策也受到先前信息的指导,因此,一个可能影响决策如何自适应地适应其环境的重要因素是即将发生的事件的可预测性。然而,对于这种感知决策过程的上下文调节的机制知之甚少。决策的数学模型预测了两种可能的支持这种调节的机制:调整到决策阈值的距离,这会导致做出决策所需的累积证据量发生变化,或者是对感官证据进行增益控制,从而导致感官证据积累的斜率发生变化。在这里,我们表明,即将发生的事件的可预测性会降低决策的阈值距离。然后,我们结合模型驱动的 fMRI 和信息论框架,表明前扣带皮层(ACC)会根据当前的预测信息量按比例调整到决策阈值的距离,而背外侧前额叶皮层(DLPFC)则对感官证据的积累进行编码。此外,当需要更复杂的计算来优化阈值距离时,从 ACC 到积累感官证据的 DLPFC 区域的信息流会增加,这反映了 ACC 的调节信号在决策过程中的权重增加。我们的研究结果描述了 ACC 和 DLPFC 对上下文优化决策的各自贡献。