eprintid: 8945
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/89/45
datestamp: 2023-11-09 16:20:53
lastmod: 2023-11-09 16:20:53
status_changed: 2023-11-09 16:13:54
type: conference_item
metadata_visibility: show
creators_name: Tyng, C.M.
creators_name: Amin, H.U.
creators_name: Malik, A.S.
creators_name: Saad, M.N.M.
title: EEG spectral analysis and functional connectivity during learning of science concepts
ispublished: pub
keywords: Complex networks; Data storage equipment; Electrophysiology; Frequency bands; Spectrum analysis, Brain connectivity; Complex science; Functional connectivity; High connectivity; learning; Learning and memory; Memory encoding; Power analysis, Electroencephalography
note: cited By 5; Conference of 6th International Conference on Intelligent and Advanced Systems, ICIAS 2016 ; Conference Date: 15 August 2016 Through 17 August 2016; Conference Code:125970
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.
date: 2017
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011992400&doi=10.1109%2fICIAS.2016.7824051&partnerID=40&md5=ba960d218b2d72f1c3db803e15c902c6
id_number: 10.1109/ICIAS.2016.7824051
full_text_status: none
publication: International Conference on Intelligent and Advanced Systems, ICIAS 2016
refereed: TRUE
isbn: 9781509008452
citation:   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.  In: UNSPECIFIED.