Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1 Suppl
pubmed:dateCreated
2009-2-23
pubmed:abstractText
Independent component analysis (ICA) has become an increasingly utilized approach for analyzing brain imaging data. In contrast to the widely used general linear model (GLM) that requires the user to parameterize the data (e.g. the brain's response to stimuli), ICA, by relying upon a general assumption of independence, allows the user to be agnostic regarding the exact form of the response. In addition, ICA is intrinsically a multivariate approach, and hence each component provides a grouping of brain activity into regions that share the same response pattern thus providing a natural measure of functional connectivity. There are a wide variety of ICA approaches that have been proposed, in this paper we focus upon two distinct methods. The first part of this paper reviews the use of ICA for making group inferences from fMRI data. We provide an overview of current approaches for utilizing ICA to make group inferences with a focus upon the group ICA approach implemented in the GIFT software. In the next part of this paper, we provide an overview of the use of ICA to combine or fuse multimodal data. ICA has proven particularly useful for data fusion of multiple tasks or data modalities such as single nucleotide polymorphism (SNP) data or event-related potentials. As demonstrated by a number of examples in this paper, ICA is a powerful and versatile data-driven approach for studying the brain.
pubmed:grant
http://linkedlifedata.com/resource/pubmed/grant/1 R01 EB 000840, http://linkedlifedata.com/resource/pubmed/grant/1 R01 EB 005846, http://linkedlifedata.com/resource/pubmed/grant/R01 EB 006841, http://linkedlifedata.com/resource/pubmed/grant/R01 EB000840-01, http://linkedlifedata.com/resource/pubmed/grant/R01 EB000840-02, http://linkedlifedata.com/resource/pubmed/grant/R01 EB000840-03, http://linkedlifedata.com/resource/pubmed/grant/R01 EB000840-04, http://linkedlifedata.com/resource/pubmed/grant/R01 EB000840-05, http://linkedlifedata.com/resource/pubmed/grant/R01 EB000840-06, http://linkedlifedata.com/resource/pubmed/grant/R01 EB000840-07, http://linkedlifedata.com/resource/pubmed/grant/R01 EB005846-01, http://linkedlifedata.com/resource/pubmed/grant/R01 EB005846-02, http://linkedlifedata.com/resource/pubmed/grant/R01 EB005846-03, http://linkedlifedata.com/resource/pubmed/grant/R01 EB005846-04, http://linkedlifedata.com/resource/pubmed/grant/R01 EB006841-01A1, http://linkedlifedata.com/resource/pubmed/grant/R01 EB006841-01A1S1, http://linkedlifedata.com/resource/pubmed/grant/R01 EB006841-02, http://linkedlifedata.com/resource/pubmed/grant/R01 EB006841-03
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/19059344-11697939, http://linkedlifedata.com/resource/pubmed/commentcorrection/19059344-11771974, http://linkedlifedata.com/resource/pubmed/commentcorrection/19059344-12169242, http://linkedlifedata.com/resource/pubmed/commentcorrection/19059344-12203682, http://linkedlifedata.com/resource/pubmed/commentcorrection/19059344-12215648, http://linkedlifedata.com/resource/pubmed/commentcorrection/19059344-14611662, http://linkedlifedata.com/resource/pubmed/commentcorrection/19059344-14630228, http://linkedlifedata.com/resource/pubmed/commentcorrection/19059344-14964560, http://linkedlifedata.com/resource/pubmed/commentcorrection/19059344-14994306, http://linkedlifedata.com/resource/pubmed/commentcorrection/19059344-15316570, http://linkedlifedata.com/resource/pubmed/commentcorrection/19059344-15734355, http://linkedlifedata.com/resource/pubmed/commentcorrection/19059344-15734364, http://linkedlifedata.com/resource/pubmed/commentcorrection/19059344-16167192, http://linkedlifedata.com/resource/pubmed/commentcorrection/19059344-16246587, http://linkedlifedata.com/resource/pubmed/commentcorrection/19059344-17021177, http://linkedlifedata.com/resource/pubmed/commentcorrection/19059344-17329470, http://linkedlifedata.com/resource/pubmed/commentcorrection/19059344-7584893, http://linkedlifedata.com/resource/pubmed/commentcorrection/19059344-9345485, http://linkedlifedata.com/resource/pubmed/commentcorrection/19059344-9950738
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
1095-9572
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
45
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
S163-72
pubmed:dateRevised
2010-12-3
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data.
pubmed:affiliation
The Mind Research Network, Albuquerque, NM 87131, USA. vcalhoun@unm.edu
pubmed:publicationType
Journal Article, Review, Research Support, N.I.H., Extramural