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EEG spectral analysis and functional connectivity during learning of science concepts

Tyng, C.M. and Amin, H.U. and Malik, A.S. and Saad, M.N.M. (2017) EEG spectral analysis and functional connectivity during learning of science concepts. International Conference on Intelligent and Advanced Systems, ICIAS 2016 .

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

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. © 2016 IEEE.

Item Type:Article
Impact Factor:cited By 1
Departments / MOR / COE:Centre of Excellence > Center for Intelligent Signal and Imaging Research
ID Code:20167
Deposited By: Ahmad Suhairi
Deposited On:22 Apr 2018 14:44
Last Modified:22 Apr 2018 14:44

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