290 related articles for article (PubMed ID: 12112768)
1. Spatial independent component analysis of functional MRI time-series: to what extent do results depend on the algorithm used?
Esposito F; Formisano E; Seifritz E; Goebel R; Morrone R; Tedeschi G; Di Salle F
Hum Brain Mapp; 2002 Jul; 16(3):146-57. PubMed ID: 12112768
[TBL] [Abstract][Full Text] [Related]
2. Analysis of fMRI data by blind separation into independent spatial components.
McKeown MJ; Makeig S; Brown GG; Jung TP; Kindermann SS; Bell AJ; Sejnowski TJ
Hum Brain Mapp; 1998; 6(3):160-88. PubMed ID: 9673671
[TBL] [Abstract][Full Text] [Related]
3. Improved FastICA algorithm in fMRI data analysis using the sparsity property of the sources.
Ge R; Wang Y; Zhang J; Yao L; Zhang H; Long Z
J Neurosci Methods; 2016 Apr; 263():103-14. PubMed ID: 26880161
[TBL] [Abstract][Full Text] [Related]
4. A variant of logistic transfer function in Infomax and a postprocessing procedure for independent component analysis applied to fMRI data.
Wu X; Yao L; Long ZY; Chen K
Magn Reson Imaging; 2007 Jun; 25(5):703-11. PubMed ID: 17368793
[TBL] [Abstract][Full Text] [Related]
5. The non-separability of physiologic noise in functional connectivity MRI with spatial ICA at 3T.
Beall EB; Lowe MJ
J Neurosci Methods; 2010 Aug; 191(2):263-76. PubMed ID: 20600313
[TBL] [Abstract][Full Text] [Related]
6. Functional connectivity as revealed by spatial independent component analysis of fMRI measurements during rest.
van de Ven VG; Formisano E; Prvulovic D; Roeder CH; Linden DE
Hum Brain Mapp; 2004 Jul; 22(3):165-78. PubMed ID: 15195284
[TBL] [Abstract][Full Text] [Related]
7. Analysis of fMRI data by blind separation of data in a tiny spatial domain into independent temporal component.
Chen H; Yao D; Zhuo Y; Chen L
Brain Topogr; 2003; 15(4):223-32. PubMed ID: 12866826
[TBL] [Abstract][Full Text] [Related]
8. How does spatial extent of fMRI datasets affect independent component analysis decomposition?
Aragri A; Scarabino T; Seifritz E; Comani S; Cirillo S; Tedeschi G; Esposito F; Di Salle F
Hum Brain Mapp; 2006 Sep; 27(9):736-46. PubMed ID: 16447211
[TBL] [Abstract][Full Text] [Related]
9. ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data.
Pruim RHR; Mennes M; van Rooij D; Llera A; Buitelaar JK; Beckmann CF
Neuroimage; 2015 May; 112():267-277. PubMed ID: 25770991
[TBL] [Abstract][Full Text] [Related]
10. Independent component analysis of instantaneous power-based fMRI.
Zhong Y; Zheng G; Liu Y; Lu G
Comput Math Methods Med; 2014; 2014():579652. PubMed ID: 24738008
[TBL] [Abstract][Full Text] [Related]
11. A unified framework for group independent component analysis for multi-subject fMRI data.
Guo Y; Pagnoni G
Neuroimage; 2008 Sep; 42(3):1078-93. PubMed ID: 18650105
[TBL] [Abstract][Full Text] [Related]
12. Spatial and temporal independent component analysis of functional MRI data containing a pair of task-related waveforms.
Calhoun VD; Adali T; Pearlson GD; Pekar JJ
Hum Brain Mapp; 2001 May; 13(1):43-53. PubMed ID: 11284046
[TBL] [Abstract][Full Text] [Related]
13. Cortex-based independent component analysis of fMRI time series.
Formisano E; Esposito F; Di Salle F; Goebel R
Magn Reson Imaging; 2004 Dec; 22(10):1493-504. PubMed ID: 15707799
[TBL] [Abstract][Full Text] [Related]
14. A semi-blind online dictionary learning approach for fMRI data.
Long Z; Liu L; Gao Z; Chen M; Yao L
J Neurosci Methods; 2019 Jul; 323():1-12. PubMed ID: 31085215
[TBL] [Abstract][Full Text] [Related]
15. Multivariate analysis of neuronal interactions in the generalized partial least squares framework: simulations and empirical studies.
Lin FH; McIntosh AR; Agnew JA; Eden GF; Zeffiro TA; Belliveau JW
Neuroimage; 2003 Oct; 20(2):625-42. PubMed ID: 14568440
[TBL] [Abstract][Full Text] [Related]
16. Performance of blind source separation algorithms for fMRI analysis using a group ICA method.
Correa N; Adali T; Calhoun VD
Magn Reson Imaging; 2007 Jun; 25(5):684-94. PubMed ID: 17540281
[TBL] [Abstract][Full Text] [Related]
17. Estimating the number of independent components for functional magnetic resonance imaging data.
Li YO; Adali T; Calhoun VD
Hum Brain Mapp; 2007 Nov; 28(11):1251-66. PubMed ID: 17274023
[TBL] [Abstract][Full Text] [Related]
18. Blind source separation of fMRI data by means of factor analytic transformations.
Langers DR
Neuroimage; 2009 Aug; 47(1):77-87. PubMed ID: 19362596
[TBL] [Abstract][Full Text] [Related]
19. Comparison of TCA and ICA techniques in fMRI data processing.
Zhao X; Glahn D; Tan LH; Li N; Xiong J; Gao JH
J Magn Reson Imaging; 2004 Apr; 19(4):397-402. PubMed ID: 15065162
[TBL] [Abstract][Full Text] [Related]
20. Automatic identification of functional clusters in FMRI data using spatial dependence.
Ma S; Correa NM; Li XL; Eichele T; Calhoun VD; Adalı T
IEEE Trans Biomed Eng; 2011 Dec; 58(12):3406-17. PubMed ID: 21900068
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]