Temporal aspect of three visual search tasks by using TMS

Akira Matsuoka, Yuuji Kawamura, Sheng Ge, Shoogo Ueno, Keiji Iramina

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Transcranial magnetic stimulation (TMS) is applied as an important method to investigate human cognitive process. In this study, we used TMS to investigate temporal aspect of the right posterior parietal cortex involved in visual search. Subjects were required to respond as quickly and accurately as possible by pressing a mouse button to indicate the presence or absence of the target, and the reaction times were measured. Subjects received three experiments which the TMS stimulus onset asynchronies (SOA) were set as 100, 150 and 200ms after visual stimulus presentation. When we examined the effects of TMS on pop-out visual search, there was a significant elevation in target-present reaction time when the TMS pluses were applied 150ms after visual stimulus presentation. However for the other SOA cases and conjunction visual search task, there was no significant difference between no-TMS and TMS conditions. Therefore, we considered that the right posterior parietal cortex was involved in the pop-out visual search at about 150ms after visual stimulus presentation.

Original languageEnglish
Title of host publication29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
Pages4751-4754
Number of pages4
DOIs
Publication statusPublished - Dec 1 2007
Event29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07 - Lyon, France
Duration: Aug 23 2007Aug 26 2007

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
ISSN (Print)0589-1019

Other

Other29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
Country/TerritoryFrance
CityLyon
Period8/23/078/26/07

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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