Jia Xiuqin, Liang Peipeng, Shi Lin, Wang Defeng, Li Kuncheng
Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China; Beijing Key Laboratory of MRI and Brain Informatics, Beijing, China.
Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China.
Neuropsychologia. 2015 Jan;66:67-74. doi: 10.1016/j.neuropsychologia.2014.10.015. Epub 2014 Oct 22.
In neuroimaging studies, increased task complexity can lead to increased activation in task-specific regions or to activation of additional regions. How the brain adapts to increased rule complexity during inductive reasoning remains unclear. In the current study, three types of problems were created: simple rule induction (i.e., SI, with rule complexity of 1), complex rule induction (i.e., CI, with rule complexity of 2), and perceptual control. Our findings revealed that increased activations accompany increased rule complexity in the right dorsal lateral prefrontal cortex (DLPFC) and medial posterior parietal cortex (precuneus). A cognitive model predicted both the behavioral and brain imaging results. The current findings suggest that neural activity in frontal and parietal regions is modulated by rule complexity, which may shed light on the neural mechanisms of inductive reasoning.
在神经影像学研究中，任务复杂性的增加可导致特定任务区域的激活增加，或导致其他区域的激活。大脑在归纳推理过程中如何适应增加的规则复杂性仍不清楚。在当前的研究中，创建了三种类型的问题：简单规则归纳（即SI，规则复杂性为1）、复杂规则归纳（即CI，规则复杂性为2）和知觉控制。我们的研究结果显示，右侧背外侧前额叶皮层（DLPFC）和内侧后顶叶皮层（楔前叶）的激活随着规则复杂性的增加而增加。一个认知模型预测了行为和脑成像结果。当前的研究结果表明，额叶和顶叶区域的神经活动受规则复杂性的调节，这可能为归纳推理的神经机制提供线索。
