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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Matsuoka, A. Kawamura, Y. Sheng Ge Ueno, S. Iramina, K. |
| Copyright Year | 2007 |
| Description | Author affiliation: Kyushu Univ., Fukuoka (Matsuoka, A.; Kawamura, Y.; Sheng Ge) |
| 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 200 ms 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 150 ms 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 150 ms after visual stimulus presentation. |
| Starting Page | 4751 |
| Ending Page | 4754 |
| File Size | 245639 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424407873 |
| ISSN | 1557170X |
| DOI | 10.1109/IEMBS.2007.4353401 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-08-22 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Semiconductor optical amplifiers Mice Magnetic stimulation Humans Shape Pressing Aging Coils Muscles Lesions |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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