Subject Order-Independent Group ICA
While the traditional temporally concatenated Group ICA (TC-GICA) adopting three steps of PCA reduction, it could result in inconsistent and variable components when different subject orders were used, both for the group- and individual-level results. Such instability can further cause instable and thus unreliable statistical results. Subject Order-Independent Group ICA (SOI-GICA) aims to fix this problem by producing stable and reliable GICA results. For details please see the paper "Subject Order-Independent Group ICA (SOI-GICA) for Functional MRI Data Analysis" (Zhang et al., 2010, NeuroImage)(http://dx.doi.org/10.1016/j.neuroimage.2...). MICA is the toolbox inplemented SOI-GICA for convenience of usage.
Execution Options
Download Now:
Execute Now:
Specifications
Category:
License:
Recent Activity - Files
mica: MICA_beta1.22_20120523 release
MICA_beta1.22_20120523.rar posted by Han Zhang on Nov 30, 2012
mica: MICA_beta1.21_20120120 release
MICA_beta1.21_20120120.zip posted by Han Zhang on Apr 5, 2012
mica: MICA_manual_beta1.2_20100729_en release
MICA_manual_beta1.2_20100729_en.pdf posted by Han Zhang on Jul 29, 2010
mica: MICA_beta1.2_20100718 release
MICA_beta1.2_20100718.zip posted by Han Zhang on Jul 22, 2010
mica: MICA_manual_beta1.2_20100614_cn release
MICA_manual_beta1.2_20100614_cn.pdf posted by Han Zhang on Jun 14, 2010
MICA_beta1.2_20100110.zip posted by Han Zhang on Jun 12, 2010