Explore the functional connectivity between brain regions during a chemistry working memory task

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Title:	Explore the functional connectivity between brain regions during a chemistry working memory task
Authors:	段正仁;Chou, Wen-Chi;Duann, Jeng-Ren;She, Hsiao-Ching;Huang, Li-Yu;Jung, Tzyy-Ping
Contributors:	生醫理工學院認知神經科學研究所
Keywords:	Adolescent;Alpha Rhythm - physiology;Beta Rhythm - physiology;Brain;Brain chemistry;Brain Mapping;Chemistry - education;Coherence;Education;EEG;Electroencephalography;Female;Frequencies;Frequency dependence;Humans;Locking;Male;Memory;Memory, Short-Term - physiology;Mental task performance;Nerve Net - physiology;Neural networks;Neurons;Neurosciences;Occipital Lobe - anatomy & histology;Occipital Lobe - physiology;Parietal Lobe - anatomy & histology;Parietal Lobe - physiology;Pattern Recognition, Visual - physiology;Perturbation;Physiological aspects;Reaction Time - physiology;Short term memory;Spectra;Studies;Synchronization;Task Performance and Analysis;Temporal Lobe - anatomy & histology;Temporal Lobe - physiology;Theta Rhythm - physiology;Young Adult
Date:	2015-06-03
Issue Date:	2026-04-23 14:26:07 (UTC+8)
Publisher:	Public Library of Science;United States: Public Library of Science (PLoS)
Abstract:	摘要： Previous studies have rarely examined how temporal dynamic patterns, event-related coherence, and phase-locking are related to each other. This study assessed reaction-time-sorted spectral perturbation and event-related spectral perturbation in order to examine the temporal dynamic patterns in the frontal midline (F), central parietal (CP), and occipital (O) regions during a chemistry working memory task at theta, alpha, and beta frequencies. Furthermore, the functional connectivity between F-CP, CP-O, and F-O were assessed by component event-related coherence (ERCoh) and component phase-locking (PL) at different frequency bands. In addition, this study examined whether the temporal dynamic patterns are consistent with the functional connectivity patterns across different frequencies and time courses. Component ERCoh/PL measured the interactions between different independent components decomposed from the scalp EEG, mixtures of time courses of activities arising from different brain, and artifactual sources. The results indicate that the O and CP regions' temporal dynamic patterns are similar to each other. Furthermore, pronounced component ERCoh/PL patterns were found to exist between the O and CP regions across each stimulus and probe presentation, in both theta and alpha frequencies. The consistent theta component ERCoh/PL between the F and O regions was found at the first stimulus and after probe presentation. These findings demonstrate that temporal dynamic patterns at different regions are in accordance with the functional connectivity patterns. Such coordinated and robust EEG temporal dynamics and component ERCoh/PL patterns suggest that these brain regions' neurons work together both to induce similar event-related spectral perturbation and to synchronize or desynchronize simultaneously in order to swiftly accomplish a particular goal. The possible mechanisms for such distinct component phase-locking and coherence patterns were also further discussed. 其他題名： PLoS One 出版者： United States: Public Library of Science (PLoS) 出版日期： 2015-06-03 出處： PLOS ONE, 2015-06, Vol.10 (6), p.e0-e0129019 資源來源： Agricultural & Environmental Science Collection 版權： COPYRIGHT 2015 Public Library of Science 版權： 2015 Chou et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 版權： 2015 Chou et al 2015 Chou et al 識別號： ISSN: 1932-6203 識別號： EISSN: 1932-6203 識別號： DOI: 10.1371/journal.pone.0129019 識別號： PMID: 26039885
Appears in Collections:	[College of Science Institute of Cognitive Neuroscience] journal & Dissertation

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