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信息不足导致数学解题和推理时出现困惑状态的 EEG 研究。

An EEG Study of a Confusing State Induced by Information Insufficiency during Mathematical Problem-Solving and Reasoning.

机构信息

State Key Laboratory of Fluid Power Transmission and Control, Zhejiang University, Hangzhou 310027, China.

出版信息

Comput Intell Neurosci. 2018 Jul 25;2018:1943565. doi: 10.1155/2018/1943565. eCollection 2018.

Abstract

Confusion is a complex cognitive state that is prevalent during learning and problem-solving. The aim of this study is to explore the brain activity reflected by electroencephalography (EEG) during a confusing state induced by two kinds of information insufficiencies during mathematical problem-solving, namely, an explicit situation that clearly lacked information and an implicit situation in which the missing information was hidden in the problem itself, and whether there is an EEG difference between these two situations. Two experimental tasks and three control tasks were created. Short time Fourier transformation (STFT) was used for time-frequency analysis; then the alpha task-related-power (TRP) changes and distributions, which are closely related to cognitive processing, were calculated, and repeated measures ANOVA were performed to find the significant difference between task conditions. The results showed that the alpha power decreased significantly in the regions related to calculation when the participants encountered both explicit and implicit information insufficiency tasks compared to the control tasks, suggesting that confusion can cause more brain activity in the cortical regions related to the tasks that induce confusion. In addition, the implicit information insufficiency task elicited more activity in the parietal and right temporal regions, whereas the explicit information insufficiency task elicited additional activity in the frontal lobe, which revealed that the frontal region is related to the processing of novel or unfamiliar information and the parietal-temporal regions are involved in sustained attention or reorientation during confusing states induced by information insufficiency. In conclusion, this study has preliminarily investigated the EEG characteristics of confusion states, suggests that EEG is a promising methodology to detect confusion, and provides a basis for future studies aiming to achieve automatic recognition of confusing states.

摘要

困惑是一种复杂的认知状态,在学习和解决问题过程中普遍存在。本研究旨在探索在解决数学问题时,两种信息不足(一种是明确的信息缺失,另一种是缺失信息隐藏在问题本身)引起的困惑状态下,脑电图(EEG)所反映的大脑活动,以及这两种情况之间是否存在 EEG 差异。设计了两个实验任务和三个对照任务。采用短时傅里叶变换(STFT)进行时频分析;然后计算与认知处理密切相关的α频段任务相关功率(TRP)变化和分布,并进行重复测量方差分析,以找出任务条件之间的显著差异。结果表明,与对照任务相比,参与者在遇到明确和隐含信息不足任务时,与计算相关的区域的α功率显著降低,这表明困惑会导致与引起困惑的任务相关的皮质区域产生更多的大脑活动。此外,隐含信息不足任务会引起顶叶和右侧颞叶区域的更多活动,而明确信息不足任务会引起额叶的额外活动,这表明额叶区域与处理新颖或不熟悉的信息有关,顶叶-颞叶区域则与信息不足引起的困惑状态下的持续注意力或重新定向有关。总之,本研究初步探讨了困惑状态的 EEG 特征,表明 EEG 是检测困惑的一种很有前途的方法,并为未来旨在实现困惑状态自动识别的研究提供了基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce7e/6083540/790d04054c0d/CIN2018-1943565.001.jpg

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