Neuroscience Research Center and Berlin Neuroimaging Center, Charité University Hospital, D-10117 Berlin, Germany.
J Neurosci. 2010 Dec 8;30(49):16709-17. doi: 10.1523/JNEUROSCI.3949-09.2010.
Prior knowledge of the probabilities concerning decision alternatives facilitates the selection of more likely alternatives to the disadvantage of others. The neural basis of prior probability (PP) integration into the decision-making process and associated preparatory processes is, however, still essentially unknown. Furthermore, trial-to-trial fluctuations in PP processing have not been considered thus far. In a previous study, we found that the amplitude of the contingent negative variation (CNV) in a precueing task is sensitive to PP information (Scheibe et al., 2009). We investigated brain regions with a parametric relationship between neural activity and PP and those regions involved in PP processing on a trial-to-trial basis in simultaneously recorded electroencephalographic (EEG) and functional magnetic resonance imaging (fMRI) data. Conventional fMRI analysis focusing on the information content of the probability precue revealed increasing activation of the posterior medial frontal cortex with increasing PP, supporting its putative role in updating action values. EEG-informed fMRI analysis relating single-trial CNV amplitudes to the hemodynamic signal addressed trial-to-trial fluctuations in PP processing. We identified a set of regions mainly consisting of frontal, parietal, and striatal regions that represents unspecific response preparation on a trial-to-trial basis. A subset of these regions, namely, the dorsolateral prefrontal cortex, the inferior frontal gyrus, and the inferior parietal lobule, showed activations that exclusively represented the contributions of PP to the trial-to-trial fluctuations of the CNV.
先前对决策选择的概率的了解有助于选择更可能的选择,而不利于其他选择。然而,先前概率(PP)整合到决策过程中和相关预备过程的神经基础在很大程度上仍然未知。此外,迄今为止还没有考虑到 PP 处理的试验间波动。在之前的一项研究中,我们发现在提示任务中的条件负变(CNV)的幅度对 PP 信息敏感(Scheibe 等人,2009)。我们研究了在同时记录的脑电图(EEG)和功能磁共振成像(fMRI)数据中,与神经活动和 PP 之间具有参数关系的大脑区域,以及那些与逐个试验的 PP 处理相关的大脑区域。传统的 fMRI 分析专注于概率提示的信息量,发现随着 PP 的增加,后内侧额皮质的激活增加,支持其在更新动作值方面的潜在作用。将单试 CNV 幅度与血流动力学信号相关联的 EEG 知情 fMRI 分析解决了 PP 处理的试验间波动。我们确定了一组主要由额叶、顶叶和纹状体区域组成的区域,这些区域在逐个试验的基础上代表了非特异性的反应准备。这些区域中的一部分,即背外侧前额叶皮质、下额回和下顶叶小叶,表现出的激活仅代表 PP 对 CNV 的试验间波动的贡献。