The toolbox is for group-information guided ICA (GIG-ICA). In
GIG-ICA, group information captured by standard Independent
Component Analysis (ICA) on the group level is used as guidance to
compute individual subject specific Independent Components (ICs)
using a multi-objective optimization strategy. For computing
subject specific ICs, GIG-ICA is applicable to subjects that are
involved or not involved in the computation of the group
information. Besides the group ICs, group information captured from
other imaging modalities and meta analysis could be used as the
guidance in GIG-ICA.
References:
Y. Du, Y. Fan. Group information guided ICA for fMRI data analysis.
Neuroimage. 2012.
Y. Du, Y. Fan. Group information guided ICA for analysis of
multi-subject fMRI data. 2011, 17th Annual Meeting of the
Organization for Human Brain Mapping, Quebec City, Canada. Trainee
Abstract Travel Awards, Interactive poster.