Vassena Eliana, Holroyd Clay B, Alexander William H
Donders Center for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University NijmegenNijmegen, Netherlands.
Department of Experimental Psychology, Ghent UniversityGhent, Belgium.
Front Neurosci. 2017 Jun 6;11:316. doi: 10.3389/fnins.2017.00316. eCollection 2017.
In the last two decades the anterior cingulate cortex (ACC) has become one of the most investigated areas of the brain. Extensive neuroimaging evidence suggests countless functions for this region, ranging from conflict and error coding, to social cognition, pain and effortful control. In response to this burgeoning amount of data, a proliferation of computational models has tried to characterize the neurocognitive architecture of ACC. Early seminal models provided a computational explanation for a relatively circumscribed set of empirical findings, mainly accounting for EEG and fMRI evidence. More recent models have focused on ACC's contribution to effortful control. In parallel to these developments, several proposals attempted to explain within a single computational framework a wider variety of empirical findings that span different cognitive processes and experimental modalities. Here we critically evaluate these modeling attempts, highlighting the continued need to reconcile the array of disparate ACC observations within a coherent, unifying framework.
在过去二十年中，前扣带回皮层（ACC）已成为大脑中研究最多的区域之一。大量神经影像学证据表明该区域具有无数功能，从冲突和错误编码到社会认知、疼痛和努力控制。为应对这一迅速增长的数据量，大量计算模型试图描绘ACC的神经认知结构。早期的开创性模型为相对有限的一组实证研究结果提供了计算解释，主要解释脑电图和功能磁共振成像证据。最近的模型则聚焦于ACC对努力控制的贡献。与这些进展并行的是，一些提议试图在单一计算框架内解释跨越不同认知过程和实验方式的更广泛的实证研究结果。在此，我们批判性地评估这些建模尝试，强调在一个连贯、统一的框架内协调一系列不同的ACC观察结果的持续必要性。
