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Interactions between default mode and control networks as a function of increasing cognitive reasoning complexity

机译:默认模式和控制网络之间的交互作用是认知推理复杂性增加的函数

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Successful performance of challenging cognitive tasks depends on a consistent functional segregation of activity within the default-mode network, on the one hand, and control networks encompassing frontoparietal and cingulo-opercular areas on the other. Recent work, however, has suggested that in some cognitive control contexts nodes within the default-mode and control networks may actually cooperate to achieve optimal task performance. Here, we used functional magnetic resonance imaging to examine whether the ability to relate variables while solving a cognitive reasoning problem involves transient increases in connectivity between default-mode and control regions. Participants performed a modified version of the classic Wason selection task, in which the number of variables to be related is systematically varied across trials. As expected, areas within the default-mode network showed a parametric deactivation with increases in relational complexity, compared with neural activity in null trials. Critically, some of these areas also showed enhanced connectivity with task-positive control regions. Specifically, task-based connectivity between the striatum and the angular gyri, and between the thalamus and right temporal pole, increased as a function of relational complexity. These findings challenge the notion that functional segregation between regions within default-mode and control networks invariably support cognitive task performance, and reveal previously unknown roles for the striatum and thalamus in managing network dynamics during cognitive reasoning. Hum Brain Mapp 36:2719-2731, 2015. (c) 2015 Wiley Periodicals, Inc.
机译:挑战性认知任务的成功执行,一方面取决于默认模式网络内活动的一致功能隔离,另一方面取决于包含额顶和耳膜-胆囊区域的控制网络。但是,最近的工作表明,在某些认知控制上下文中,默认模式和控制网络内的节点实际上可以协作以实现最佳任务性能。在这里,我们使用功能磁共振成像来检查在解决认知推理问题时关联变量的能力是否涉及默认模式和控制区域之间的连通性的瞬时增加。参与者执行了经典Wason选择任务的修改版本,其中相关变量的数量在各个试验中都有系统地变化。正如预期的那样,与无效试验中的神经活动相比,默认模式网络内的区域显示出参数失效,关系复杂性增加。至关重要的是,这些区域中的某些区域还显示出与任务阳性控制区域的增强连通性。具体而言,纹状体和角回之间以及丘脑和右颞极之间基于任务的连接性随着关系复杂性的增加而增加。这些发现挑战了默认模式和控制网络内区域之间的功能隔离始终支持认知任务性能的观点,并揭示了纹状体和丘脑在认知推理过程中管理网络动态中的未知角色。嗡嗡声大脑Mapp 36:2719-2731,2015.(c)2015 Wiley Periodicals,Inc.

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