EEG dynamics reflect the distinct cognitive process of optic problem solving.

This study explores the changes in electroencephalographic (EEG) activity associated with the performance of solving an optics maze problem. College students (N = 37) were instructed to construct three solutions to the optical maze in a Web-based learning environment, which required some knowledge o...

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Main Authors: Hsiao-Ching She, Tzyy-Ping Jung, Wen-Chi Chou, Li-Yu Huang, Chia-Yu Wang, Guan-Yu Lin
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2012-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22815800/?tool=EBI
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spelling doaj-9516bdb0c2cb43ee9f8215c1e8070fa52021-03-03T20:28:21ZengPublic Library of Science (PLoS)PLoS ONE1932-62032012-01-0177e4073110.1371/journal.pone.0040731EEG dynamics reflect the distinct cognitive process of optic problem solving.Hsiao-Ching SheTzyy-Ping JungWen-Chi ChouLi-Yu HuangChia-Yu WangGuan-Yu LinThis study explores the changes in electroencephalographic (EEG) activity associated with the performance of solving an optics maze problem. College students (N = 37) were instructed to construct three solutions to the optical maze in a Web-based learning environment, which required some knowledge of physics. The subjects put forth their best effort to minimize the number of convexes and mirrors needed to guide the image of an object from the entrance to the exit of the maze. This study examines EEG changes in different frequency bands accompanying varying demands on the cognitive process of providing solutions. Results showed that the mean power of θ, α1, α2, and β1 significantly increased as the number of convexes and mirrors used by the students decreased from solution 1 to 3. Moreover, the mean power of θ and α1 significantly increased when the participants constructed their personal optimal solution (the least total number of mirrors and lens used by students) compared to their non-personal optimal solution. In conclusion, the spectral power of frontal, frontal midline and posterior theta, posterior alpha, and temporal beta increased predominantly as the task demands and task performance increased.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22815800/?tool=EBI
collection DOAJ
language English
format Article
sources DOAJ
author Hsiao-Ching She
Tzyy-Ping Jung
Wen-Chi Chou
Li-Yu Huang
Chia-Yu Wang
Guan-Yu Lin
spellingShingle Hsiao-Ching She
Tzyy-Ping Jung
Wen-Chi Chou
Li-Yu Huang
Chia-Yu Wang
Guan-Yu Lin
EEG dynamics reflect the distinct cognitive process of optic problem solving.
PLoS ONE
author_facet Hsiao-Ching She
Tzyy-Ping Jung
Wen-Chi Chou
Li-Yu Huang
Chia-Yu Wang
Guan-Yu Lin
author_sort Hsiao-Ching She
title EEG dynamics reflect the distinct cognitive process of optic problem solving.
title_short EEG dynamics reflect the distinct cognitive process of optic problem solving.
title_full EEG dynamics reflect the distinct cognitive process of optic problem solving.
title_fullStr EEG dynamics reflect the distinct cognitive process of optic problem solving.
title_full_unstemmed EEG dynamics reflect the distinct cognitive process of optic problem solving.
title_sort eeg dynamics reflect the distinct cognitive process of optic problem solving.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2012-01-01
description This study explores the changes in electroencephalographic (EEG) activity associated with the performance of solving an optics maze problem. College students (N = 37) were instructed to construct three solutions to the optical maze in a Web-based learning environment, which required some knowledge of physics. The subjects put forth their best effort to minimize the number of convexes and mirrors needed to guide the image of an object from the entrance to the exit of the maze. This study examines EEG changes in different frequency bands accompanying varying demands on the cognitive process of providing solutions. Results showed that the mean power of θ, α1, α2, and β1 significantly increased as the number of convexes and mirrors used by the students decreased from solution 1 to 3. Moreover, the mean power of θ and α1 significantly increased when the participants constructed their personal optimal solution (the least total number of mirrors and lens used by students) compared to their non-personal optimal solution. In conclusion, the spectral power of frontal, frontal midline and posterior theta, posterior alpha, and temporal beta increased predominantly as the task demands and task performance increased.
url https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22815800/?tool=EBI
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