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Translational Neuroscience

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Puzzle task ERP response: time-frequency and source localization analysis

Ahmed Almurshedi
  • Department of Physics, Faculty of Science, Universiti Teknologi Malaysia (UTM), 81310, Skudai, Johor, Malaysia
  • Physics Department, College of Science, Al-Muthanna University (IRAQ)
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Abd Khamim Ismail
  • Department of Physics, Faculty of Science, Universiti Teknologi Malaysia (UTM), 81310, Skudai, Johor, Malaysia
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2015-09-23 | DOI: https://doi.org/10.1515/tnsci-2015-0020

Abstract

Perceptual decision making depends on the choices available for the presented task. Most event-related potential (ERP) experiments are designed with two options, such as YES or NO. In some cases, however, subjects may become confused about the presented task in such a way that they cannot provide a behavioral response. This study aims to put subjects into such a puzzled state in order to address the following questions: How does the brain respond during puzzling moments? And what is the brain’s response to a non-answerable task? To address these questions, ERP were acquired from the brain during a scintillation grid illusion task. The subjects were required to count the number of illusory dots, a task that was impossible to perform. The results showed the presence of N130 over the parietal area during the puzzling task. Coherency among the brain hemispheres was enhanced with the complexity of the task. The neural generators’ source localizations were projected to a multimodal complex covering the left postcentral gyrus, supramarginal gyrus, and angular gyrus. This study concludes that the brain component N130 is strongly related to perception in a puzzling task network but not the visual processing network.

Keywords: Puzzled response; Decision making; Event-related potential (ERP); Scintillation grid illusion; N130; Time-frequency analysis; Source localization analysis; Measure projection analysis

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About the article

Received: 2015-05-12

Accepted: 2015-08-28

Published Online: 2015-09-23


Citation Information: Translational Neuroscience, ISSN (Online) 2081-6936, DOI: https://doi.org/10.1515/tnsci-2015-0020.

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©2015 Ahmed Almurshedi, Abd Khamim Ismail. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. BY-NC-ND 3.0

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