Distinct regions of anterior cingulate cortex signal prediction and outcome evaluation.
Distinct regions of anterior cingulate cortex signal prediction and outcome evaluation.
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DOI：
10.1016/j.neuroimage.2014.03.050
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发表时间：
2014-07-15
期刊：
影响因子：
5.7
通讯作者：
Brown JW
中科院分区：
文献类型：
--
作者：
Jahn A;Nee DE;Alexander WH;Brown JW
许多理论已经提出来解释前扣带皮层（ACC）和更广泛的内侧前额叶皮层（mPFC）在认知中的作用。最近的反应结果预测（PRO）计算模型将mPFC部分视为执行两个理论上不同的功能：学习预测各种可能的行为结果，然后根据实际结果评估这些预测。模拟表明，这种新模型可以解释前所未有的已知mPFC效应，但ACC内不同的预测和评估机制的核心理论尚未得到验证。使用计算神经模型和功能磁共振成像相结合，我们在这里表明，预测和评估信号实际上都表示在ACC中，而且，它们表示在ACC内的不同区域。我们的任务独立地操纵了预测结果的数量和结果违反预期的程度，前者提供对预测敏感的区域的评估，后者提供对评价敏感的区域的评估。使用来自PRO计算模型的定量回归，我们发现，基于预测的模型信号负载的网络，包括后和膝周ACC，但结果评价模型信号负载的中背ACC.These研究结果是一致的独特的预测和评价信号所假定的PRO模型，并提供了新的视角在ACC内的一个大的已知的影响。
A number of theories have been proposed to account for the role of anterior cingulate cortex (ACC) and the broader medial prefrontal cortex (mPFC) in cognition. The recent Prediction of Response Outcome (PRO) computational model casts the mPFC in part as performing two theoretically distinct functions: learning to predict the various possible outcomes of actions, and then evaluating those predictions against the actual outcomes. Simulations have shown that this new model can account for an unprecedented range of known mPFC effects, but the central theory of distinct prediction and evaluation mechanisms within ACC remains untested. Using combined computational neural modeling and fMRI, we show here that prediction and evaluation signals are indeed each represented in the ACC, and furthermore, they are represented in distinct regions within ACC. Our task independently manipulated both the number of predicted outcomes and the degree to which outcomes violated expectancies, the former providing assessment of regions sensitive to prediction and the latter providing assessment of regions sensitive to evaluation. Using quantitative regressors derived from the PRO computational model, we show that prediction-based model signals load on a network including the posterior and perigenual ACC, but outcome evaluation model signals load on the mid-dorsal ACC. These findings are consistent with distinct prediction and evaluation signals as posited by the PRO model and provide new perspective on a large set of known effects within ACC.
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DOI：
10.1126/science.1168488
发表时间：
2009-05-15
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Hayden BY;Pearson JM;Platt ML
通讯作者：
Platt ML
影响因子：
5.7
作者：
Brown JW
通讯作者：
Brown JW
影响因子：
2.9
作者：
Brown, Joshua W.;Braver, Todd S.
通讯作者：
Braver, Todd S.
影响因子：
3.7
作者：
Dreher, JC;Grafman, J
通讯作者：
Grafman, J
影响因子：
5.3
作者：
Ferdinand, Nicola K.;Mecklinger, Axel;Gehring, William J.
通讯作者：
Gehring, William J.