| Title: | Group analysis based on multilevel Bayesian for FMRI data |
| Authors: | Yang, Feng Fu, Kuang Zhou, Ai |
| Citation: | WSCG 2014: communication papers proceedings: 22nd International Conference in Central Europeon Computer Graphics, Visualization and Computer Visionin co-operation with EUROGRAPHICS Association, p. 205-211. |
| Issue Date: | 2014 |
| Publisher: | Václav Skala - UNION Agency |
| Document type: | konferenční příspěvek conferenceObject |
| URI: | wscg.zcu.cz/WSCG2014/!!_2014-WSCG-Communication.pdf http://hdl.handle.net/11025/26416 |
| ISBN: | 978-80-86943-71-8 |
| Keywords: | fMRI časové řady;klasická statistika;Bayesovský závěr;skupinová analýza |
| Keywords in different language: | fMRI time series;classical statistics;Bayesian inference;group analysis |
| Abstract in different language: | This paper suggests one method to process fMRI time series based on Bayesian inference for group analysis. The method is based on Bayesian inference to divide group into multilevel by session, subject and group levels. It compares covariance to select prior to reinforce posterior probability in group analysis. At the same time it combines classical statistics, i.e., t-statistics to obtain voxel activation at subject level as prior for Bayesian inference at group level. Through the method, it can effectively decrease computation expensive and reduce complexity. Therefore the experimental results show robust on Bayesian inference for group analysis. |
| Rights: | @ Václav Skala - UNION Agency |
| Appears in Collections: | WSCG 2014: Communication Papers Proceedings |
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