Fuzzy Cluster Method based on RV measure for functional MRI data analysis
- DOI
- 10.2991/iccsee.2013.101How to use a DOI?
- Keywords
- fMRI, FCA, Pearson coefficient, RV coefficient
- Abstract
Functional magnetic resonance imaging (fMRI) has become one of the important tools of functional connectivity studies of the human brain. Fuzzy clustering method (FCM) is a common method for analysis of fMRI data. Traditional FCA methods measure the similarity between the BOLD time course of a centroid and the ones of all other voxels in the brain on the basis of Pearson correlation coefficient. This article puts forward a multi-voxel-based RV coefficient similarity measure to overcome the defects of traditional similarity distance measure in FCM. The experimental results show that the RV-based FCA method has not only improved the speed of FCA, but has comparatively raised the accuracy of the method.
- Copyright
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Han Wang AU - Weiming Zeng PY - 2013/03 DA - 2013/03 TI - Fuzzy Cluster Method based on RV measure for functional MRI data analysis BT - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013) PB - Atlantis Press SP - 394 EP - 397 SN - 1951-6851 UR - https://doi.org/10.2991/iccsee.2013.101 DO - 10.2991/iccsee.2013.101 ID - Wang2013/03 ER -