1385 related articles for article (PubMed ID: 14568440)
1. 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]
2. Independent vector analysis (IVA): multivariate approach for fMRI group study.
Lee JH; Lee TW; Jolesz FA; Yoo SS
Neuroimage; 2008 Mar; 40(1):86-109. PubMed ID: 18165105
[TBL] [Abstract][Full Text] [Related]
3. Multivariate analysis of fMRI data by oriented partial least squares.
Rayens WS; Andersen AH
Magn Reson Imaging; 2006 Sep; 24(7):953-8. PubMed ID: 16916712
[TBL] [Abstract][Full Text] [Related]
4. Spatiotemporal analysis of event-related fMRI data using partial least squares.
McIntosh AR; Chau WK; Protzner AB
Neuroimage; 2004 Oct; 23(2):764-75. PubMed ID: 15488426
[TBL] [Abstract][Full Text] [Related]
5. Unified SPM-ICA for fMRI analysis.
Hu D; Yan L; Liu Y; Zhou Z; Friston KJ; Tan C; Wu D
Neuroimage; 2005 Apr; 25(3):746-55. PubMed ID: 15808976
[TBL] [Abstract][Full Text] [Related]
6. Semi-blind ICA of fMRI: A method for utilizing hypothesis-derived time courses in a spatial ICA analysis.
Calhoun VD; Adali T; Stevens MC; Kiehl KA; Pekar JJ
Neuroimage; 2005 Apr; 25(2):527-38. PubMed ID: 15784432
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Discussion on the choice of separated components in fMRI data analysis by spatial independent component analysis.
Chen H; Yao D
Magn Reson Imaging; 2004 Jul; 22(6):827-33. PubMed ID: 15234451
[TBL] [Abstract][Full Text] [Related]
9. Dissecting cognitive stages with time-resolved fMRI data: a comparison of fuzzy clustering and independent component analysis.
Smolders A; De Martino F; Staeren N; Scheunders P; Sijbers J; Goebel R; Formisano E
Magn Reson Imaging; 2007 Jul; 25(6):860-8. PubMed ID: 17482412
[TBL] [Abstract][Full Text] [Related]
10. Activation detection in fMRI using a maximum energy ratio statistic obtained by adaptive spatial filtering.
Hossein-Zadeh GA; Ardekani BA; Soltanian-Zadeh H
IEEE Trans Med Imaging; 2003 Jul; 22(7):795-805. PubMed ID: 12906234
[TBL] [Abstract][Full Text] [Related]
11. Analyzing the connectivity between regions of interest: an approach based on cluster Granger causality for fMRI data analysis.
Sato JR; Fujita A; Cardoso EF; Thomaz CE; Brammer MJ; Amaro E
Neuroimage; 2010 Oct; 52(4):1444-55. PubMed ID: 20472076
[TBL] [Abstract][Full Text] [Related]
12. Bayesian methods for FMRI time-series analysis using a nonstationary model for the noise.
Oikonomou VP; Tripoliti EE; Fotiadis DI
IEEE Trans Inf Technol Biomed; 2010 May; 14(3):664-74. PubMed ID: 20123577
[TBL] [Abstract][Full Text] [Related]
13. Model-free analysis of brain fMRI data by recurrence quantification.
Bianciardi M; Sirabella P; Hagberg GE; Giuliani A; Zbilut JP; Colosimo A
Neuroimage; 2007 Aug; 37(2):489-503. PubMed ID: 17600730
[TBL] [Abstract][Full Text] [Related]
14. Effects of nonlinearities and uncorrelated or correlated errors in realistic simulated data on the prediction abilities of augmented classical least squares and partial least squares.
Melgaard DK; Haaland DM
Appl Spectrosc; 2004 Sep; 58(9):1065-73. PubMed ID: 15479523
[TBL] [Abstract][Full Text] [Related]
15. A fully Bayesian approach to the parcel-based detection-estimation of brain activity in fMRI.
Makni S; Idier J; Vincent T; Thirion B; Dehaene-Lambertz G; Ciuciu P
Neuroimage; 2008 Jul; 41(3):941-69. PubMed ID: 18439839
[TBL] [Abstract][Full Text] [Related]
16. Partial least squares analysis of neuroimaging data: applications and advances.
McIntosh AR; Lobaugh NJ
Neuroimage; 2004; 23 Suppl 1():S250-63. PubMed ID: 15501095
[TBL] [Abstract][Full Text] [Related]
17. Empirical Markov Chain Monte Carlo Bayesian analysis of fMRI data.
de Pasquale F; Del Gratta C; Romani GL
Neuroimage; 2008 Aug; 42(1):99-111. PubMed ID: 18538586
[TBL] [Abstract][Full Text] [Related]
18. Hidden Markov event sequence models: toward unsupervised functional MRI brain mapping.
Faisan S; Thoraval L; Armspach JP; Foucher JR; Metz-Lutz MN; Heitz F
Acad Radiol; 2005 Jan; 12(1):25-36. PubMed ID: 15691723
[TBL] [Abstract][Full Text] [Related]
19. Model-independent method for fMRI analysis.
Soltanian-Zadeh H; Peck DJ; Hearshen DO; Lajiness-O'Neill RR
IEEE Trans Med Imaging; 2004 Mar; 23(3):285-96. PubMed ID: 15027521
[TBL] [Abstract][Full Text] [Related]
20. Bayesian spatiotemporal model of fMRI data.
QuirĂ³s A; Diez RM; Gamerman D
Neuroimage; 2010 Jan; 49(1):442-56. PubMed ID: 19646535
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]