Comparing the reliability of different ICA algorithms for fMRI analysis.
Journal
PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081
Informations de publication
Date de publication:
2022
2022
Historique:
received:
15
06
2021
accepted:
13
06
2022
entrez:
27
6
2022
pubmed:
28
6
2022
medline:
30
6
2022
Statut:
epublish
Résumé
Independent component analysis (ICA) has been shown to be a powerful blind source separation technique for analyzing functional magnetic resonance imaging (fMRI) data sets. ICA can extract independent spatial maps and their corresponding time courses from fMRI data without a priori specification of time courses. Some popular ICA algorithms such as Infomax or FastICA generate different results after repeated analysis from the same data volume, which is generally acknowledged as a drawback for ICA approaches. The reliability of some ICA algorithms has been explored by methods such as ICASSO and RAICAR (ranking and averaging independent component analysis by reproducibility). However, the exact algorithmic reliability of different ICA algorithms has not been examined and compared with each other. Here, the quality index generated with ICASSO and spatial correlation coefficients were used to examine the reliability of different ICA algorithms. The results demonstrated that Infomax running 10 times with ICASSO could generate consistent independent components from fMRI data sets.
Identifiants
pubmed: 35759502
doi: 10.1371/journal.pone.0270556
pii: PONE-D-21-19322
pmc: PMC9236259
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e0270556Déclaration de conflit d'intérêts
The authors have declared that no competing interests exist.
Références
PLoS One. 2011;6(12):e27594
pubmed: 22174743
Biometrics. 2014 Mar;70(1):224-36
pubmed: 24350655
Hum Brain Mapp. 2008 Jun;29(6):711-25
pubmed: 17598162
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:6735-9
pubmed: 23367475
Psychophysiology. 2017 Mar;54(3):386-398
pubmed: 28026876
J Am Stat Assoc. 2020;115(531):1151-1177
pubmed: 33060872
J Neurosci Methods. 2014 Feb 15;223:30-4
pubmed: 24316005
Brain Topogr. 2003 Summer;15(4):223-32
pubmed: 12866826
Magn Reson Imaging. 2007 Jun;25(5):684-94
pubmed: 17540281
Neuroimage. 2004 Jul;22(3):1214-22
pubmed: 15219593
Proc Natl Acad Sci U S A. 2019 Jun 11;116(24):12025-12034
pubmed: 31138689
Neuroimage. 2012 Oct 15;63(1):403-14
pubmed: 22789741
Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:530-533
pubmed: 31945954
Hum Brain Mapp. 2002 Jul;16(3):146-57
pubmed: 12112768
Front Aging Neurosci. 2020 Jul 02;12:199
pubmed: 32714179
PLoS One. 2014 Oct 01;9(10):e107761
pubmed: 25272154
J Neurophysiol. 2006 Apr;95(4):2199-212
pubmed: 16394079