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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Autores principales:	Hsiao-Ching She, Tzyy-Ping Jung, Wen-Chi Chou, Li-Yu Huang, Chia-Yu Wang, Guan-Yu Lin
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/9516bdb0c2cb43ee9f8215c1e8070fa5
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spelling	oai:doaj.org-article:9516bdb0c2cb43ee9f8215c1e8070fa52021-11-18T07:12:24ZEEG dynamics reflect the distinct cognitive process of optic problem solving.1932-620310.1371/journal.pone.0040731https://doaj.org/article/9516bdb0c2cb43ee9f8215c1e8070fa52012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22815800/?tool=EBIhttps://doaj.org/toc/1932-6203This 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.Hsiao-Ching SheTzyy-Ping JungWen-Chi ChouLi-Yu HuangChia-Yu WangGuan-Yu LinPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 7, p e40731 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q 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.
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.
format	article
author	Hsiao-Ching She Tzyy-Ping Jung Wen-Chi Chou Li-Yu Huang Chia-Yu Wang Guan-Yu Lin
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)
publishDate	2012
url	https://doaj.org/article/9516bdb0c2cb43ee9f8215c1e8070fa5
work_keys_str_mv	AT hsiaochingshe eegdynamicsreflectthedistinctcognitiveprocessofopticproblemsolving AT tzyypingjung eegdynamicsreflectthedistinctcognitiveprocessofopticproblemsolving AT wenchichou eegdynamicsreflectthedistinctcognitiveprocessofopticproblemsolving AT liyuhuang eegdynamicsreflectthedistinctcognitiveprocessofopticproblemsolving AT chiayuwang eegdynamicsreflectthedistinctcognitiveprocessofopticproblemsolving AT guanyulin eegdynamicsreflectthedistinctcognitiveprocessofopticproblemsolving
_version_	1718423804387000320

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

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