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dc.contributor.authorKo, Li-Weien_US
dc.contributor.authorChikara, Rupesh Kumaren_US
dc.contributor.authorShih, Yi-Chengen_US
dc.contributor.authorChang, Erik C.en_US
dc.date.accessioned2017-04-21T06:48:57Z-
dc.date.available2017-04-21T06:48:57Z-
dc.date.issued2016en_US
dc.identifier.isbn978-1-5090-3834-3en_US
dc.identifier.issn2471-7819en_US
dc.identifier.urihttp://dx.doi.org/10.1109/BIBE.2016.36en_US
dc.identifier.urihttp://hdl.handle.net/11536/134634-
dc.description.abstractThe stop-signal paradigm has been commonly applied as a measure of inhibitory control due to its exclusive ability to capture theoretically important parameters related to the response inhibition. To observe the inhibitory function in realistic environmental settings, we designed a battlefield scenario (BFS), which is inspired by real condition like open fire between soldier and terrorist for saving civilian because terrorism is serious problem worldwide. The stop-signal task has been widely adopted as a way to parametrically quantify the response inhibition process. This study compared the response inhibition in two different scenarios: One used traditional simple visual symbols as go and stop signals i.e. symbol scenario (SBS), and the other translated the typical design into a battlefield scenario. The outcomes confirmed that both scenarios induced increased activity in the right inferior frontal gyrus (IFG) and pre supplementary motor area (preSMA), which have been associated to response inhibition. Particularly, in right temporoparietal junction (rTPJ) we found both higher BOLD activation and EEG power modulation in the battlefield scenario than in the traditional scenario after the stop stimulus onset.en_US
dc.language.isoen_USen_US
dc.subjectStop signal tasken_US
dc.subjectInhibitory controlen_US
dc.subjectelectroencephalography (EEG)en_US
dc.subjectfunctional magnetic resonance imaging (fMRI)en_US
dc.subjectpreSMAen_US
dc.subjectrTPJen_US
dc.titleNeural oscillations in Temporoparietal lobes under Inhibitory Control in a Naturalistic situationen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1109/BIBE.2016.36en_US
dc.identifier.journal2016 IEEE 16TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOENGINEERING (BIBE)en_US
dc.citation.spage373en_US
dc.citation.epage376en_US
dc.contributor.department生物科技學系zh_TW
dc.contributor.department生物資訊及系統生物研究所zh_TW
dc.contributor.department腦科學研究中心zh_TW
dc.contributor.departmentDepartment of Biological Science and Technologyen_US
dc.contributor.departmentInstitude of Bioinformatics and Systems Biologyen_US
dc.contributor.departmentBrain Research Centeren_US
dc.identifier.wosnumberWOS:000391847500063en_US
dc.citation.woscount0en_US
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