脑电频谱分析与科学概念学习过程中的功能连接

C. M. Tyng, H. Amin, A. Malik, M. Saad
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引用次数: 5

摘要

本文旨在分析科学复杂概念学习过程中大脑的神经元行为,并比较学习状态和静息状态下的大脑动态。招募了34名健康参与者,并执行了两项任务,Raven’s Advanced Progressive Matrices (RAPM)智力评估和学习任务。记录静息状态(睁眼)和学习任务时的脑电图信号。在学习任务中,参与者学习有关人体解剖学和生理学的动画内容10分钟。在脑电图频谱分析中,6个频带均显示学习任务时额叶平均功率高于静息状态,尤其是FP2和F8位置。额叶高的脑电活动反映了研究复杂科学概念的高注意需求和工作记忆资源。额-颞-顶叶区域之间的高连通性表明,新记忆编码的连接网络增加,对学习和记忆至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
EEG spectral analysis and functional connectivity during learning of science concepts
This paper aims to analyze the neuronal behavior of the brain during learning of science complex concepts and compare the brain dynamics during learning state with resting state. A sample of 34 healthy participants was recruited and performed two tasks, Raven's Advanced Progressive Matrices (RAPM) intelligence assessment and learning task. Electroencephalography (EEG) signals were recorded during resting state (eyes open) and in learning task. In the learning task, participants study animated contents about human anatomy and physiology for 10 minutes. In the EEG spectral analysis, all six frequency bands showed higher mean power during learning task compared to resting state in the frontal lobe, especially in FP2 and F8 locations. High EEG activity in frontal sites reflects high attention demand and working memory resources for studying the complex science concepts. There is also high connectivity between fronto-temporo-parietal regions indicate that an increase connection network for new memory encoding and it is critical for learning and memory.
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