Literature DB >> 25447072

Prefrontal and parietal activity is modulated by the rule complexity of inductive reasoning and can be predicted by a cognitive model.

Xiuqin Jia1, Peipeng Liang1, Lin Shi2, Defeng Wang2, Kuncheng Li3.   

Abstract

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.
Copyright © 2014. Published by Elsevier Ltd.

Keywords:  Computational cognitive model; Dorsolateral prefrontal cortex (DLPFC); Inductive reasoning; Rule complexity

Mesh:

Year:  2014        PMID: 25447072     DOI: 10.1016/j.neuropsychologia.2014.10.015

Source DB:  PubMed          Journal:  Neuropsychologia        ISSN: 0028-3932            Impact factor:   3.139


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