Hierarchical organization of cortical morphology of decision-making when deconstructing Iowa Gambling Task performance in healthy adults.
Hierarchical organization of cortical morphology of decision-making when deconstructing Iowa Gambling Task performance in healthy adults.
复制标题
解构健康成年人爱荷华州赌博任务表现时决策的皮质形态的层次结构。
DOI：
10.1017/s1355617712000215
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
Schretlen,DavidJ
中科院分区：
文献类型：
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作者：
Gansler,DavidA;Jerram,MatthewW;Vannorsdall,TracyD;Schretlen,DavidJ
爱荷华州赌博任务（IGT）是一个衡量决策的指标，其中替代指标比传统指标具有更大的结构效度。没有大规模的研究检查了健康成年人的神经相关性。我们对124名健康受试者进行了IGT和结构MRI检查。我们分析了有利减去不利选择的传统IGT度量（即，组C + D减去组A + B），以及基于单独来自组D和A的选择的三个替代度量，以及来自每个组的所有选择。使用回归和基于体素的形态学，我们研究了区域灰质体积作为IGT表现的预测因子。没有神经相关的传统指标出现，和神经相关的个人甲板选择是不同的。其他指标显示，在前额叶皮层、丘脑、丘脑和其他区域，预期的神经相关决策。IGT替代指标具有与决策理论一致的神经相关性，因为这些差异分数减少了认知过程的异质性。CD-AB指标结构失效可能反映了过程的人为融合。D-A度量似乎更成功地联合收割机结合了多层次的表征（背外侧前额叶皮层、皮层下、小脑）。(JINS，2012，18，585-594）
The Iowa Gambling Task (IGT) is a measure of decision-making, in which alternative metrics have greater construct validity than conventional metrics. No large scale study has examined the neural correlates in healthy adults. We administered the IGT and structural MRI to 124 healthy participants. We analyzed the conventional IGT metric of advantageous minus disadvantageous choices (i.e., decks C + D minus decks A + B), and three alternative metrics based on choices from decks D and A alone, and all selections from each deck. Using regression and voxel-based morphometry, we examined regional gray matter volumes as predictors of IGT performance. No neural correlates of the conventional metric emerged, and the neural correlates of individual deck selections were disparate from one another. Alternative metrics showed expected neural correlates of decision-making in prefrontal cortex, insula, thalamus, and other regions. IGT alternative metrics have neural correlates consistent with decision-making theory as those difference scores reduce heterogeneity in cognitive processes. The CD-AB metric construct failure may reflect an artificial amalgamation of processes. The D-A metric appears to more successfully combine multiple levels of representation (dorsolateral prefrontal cortex, sub-cortical, cerebellar). (JINS, 2012, 18, 585–594)