DocumentCode
1792233
Title
Different neural network for exogenous temporal expectations under sub-second and supra-second in fMRI
Author
Zhihan Xu ; Qiong Wu ; Yujie Li ; Kataoka, Yasuyuki ; Jinglong Wu ; Chunlin Li ; Ohno, S. ; Kanazawa, S.
Author_Institution
Grad. Sch. of Natural Sci. & Technol., Okayama Univ., Okayama, Japan
fYear
2014
fDate
3-6 Aug. 2014
Firstpage
1734
Lastpage
1739
Abstract
Timing is required for both estimating the duration of a presently unfolding event, and forecasting when a future event will occur. When participants used a dynamic visual spatio-temporal trajectory stimulus to predict the final position, exogenous temporal expectations are engaged. However, it is still not clear whether different neural networks are used to measure sub-second and supra-second temporal durations. Here, we used fMRI to find out the differences between brain activity which measure 600ms and 1800ms in an exogenous temporal expectation task. We observe bilateral anterior cingulate cortex (ACC) show significantly activated during sub-second, bilateral MT+ [suggested to contain both middle temporal (MT) and medial superior temporal (MST)], right superior parietal lobule (SPL), and left inferior parietal cortex (IPC) are more active in the 1800ms condition. Overall, this research shows that maybe different components are used for sub-second and supra-second in exogenous temporal expectation.
Keywords
biomedical MRI; brain; medical image processing; neural nets; spatiotemporal phenomena; ACC; IPC; SPL; bilateral anterior cingulate cortex; brain activity; dynamic visual spatiotemporal trajectory; exogenous temporal expectation; fMRI; final position prediction; functional magnetic resonance imaging; inferior parietal cortex; neural network; superior parietal lobule; Analytical models; Biological neural networks; Educational institutions; Mathematical model; Standards; Timing; Visualization; Implicit timing; Sub-second; Supra-second; exogenous temporal expectation; fMRI;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Automation (ICMA), 2014 IEEE International Conference on
Conference_Location
Tianjin
Print_ISBN
978-1-4799-3978-7
Type
conf
DOI
10.1109/ICMA.2014.6885962
Filename
6885962
Link To Document