These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
202 related articles for article (PubMed ID: 16735180)
1. Strategies for reducing large fMRI data sets for independent component analysis. Wang Z; Wang J; Calhoun V; Rao H; Detre JA; Childress AR Magn Reson Imaging; 2006 Jun; 24(5):591-6. PubMed ID: 16735180 [TBL] [Abstract][Full Text] [Related]
2. Analyzing consistency of independent components: an fMRI illustration. Ylipaavalniemi J; Vigário R Neuroimage; 2008 Jan; 39(1):169-80. PubMed ID: 17931888 [TBL] [Abstract][Full Text] [Related]
3. Using ICA and realistic BOLD models to obtain joint EEG/fMRI solutions to the problem of source localization. Brookings T; Ortigue S; Grafton S; Carlson J Neuroimage; 2009 Jan; 44(2):411-20. PubMed ID: 18845263 [TBL] [Abstract][Full Text] [Related]
4. Effect of spatial alignment transformations in PCA and ICA of functional neuroimages. Lukic AS; Wernick MN; Yang Y; Hansen LK; Arfanakis K; Strother SC IEEE Trans Med Imaging; 2007 Aug; 26(8):1058-68. PubMed ID: 17695126 [TBL] [Abstract][Full Text] [Related]
5. On applicability of PCA, voxel-wise variance normalization and dimensionality assumptions for sliding temporal window sICA in resting-state fMRI. Remes JJ; Abou Elseoud A; Ollila E; Haapea M; Starck T; Nikkinen J; Tervonen O; Silven O Magn Reson Imaging; 2013 Oct; 31(8):1338-48. PubMed ID: 23845397 [TBL] [Abstract][Full Text] [Related]
6. CRLS-PCA based independent component analysis for fMRI study. Wang Z; Wang J; Childress AR; Rao H; Detre JA Conf Proc IEEE Eng Med Biol Soc; 2005; 2005():5904-7. PubMed ID: 17281604 [TBL] [Abstract][Full Text] [Related]
7. Delay correlation subspace decomposition algorithm and its application in fMRI. Chen H; Yao D; Chen W; Chen L IEEE Trans Med Imaging; 2005 Dec; 24(12):1647-51. PubMed ID: 16350921 [TBL] [Abstract][Full Text] [Related]
8. 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]
9. [Blind source separation for fMRI signals using a new independent component analysis algorithm and principal component analysis]. Zhang W; Shi Z; Tang H; Tang Y Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2007 Apr; 24(2):430-3. PubMed ID: 17591275 [TBL] [Abstract][Full Text] [Related]
10. Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns. De Martino F; Valente G; Staeren N; Ashburner J; Goebel R; Formisano E Neuroimage; 2008 Oct; 43(1):44-58. PubMed ID: 18672070 [TBL] [Abstract][Full Text] [Related]
11. Subject order-independent group ICA (SOI-GICA) for functional MRI data analysis. Zhang H; Zuo XN; Ma SY; Zang YF; Milham MP; Zhu CZ Neuroimage; 2010 Jul; 51(4):1414-24. PubMed ID: 20338245 [TBL] [Abstract][Full Text] [Related]
12. 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]
13. Structural analysis of fMRI data revisited: improving the sensitivity and reliability of fMRI group studies. Thirion B; Pinel P; Tucholka A; Roche A; Ciuciu P; Mangin JF; Poline JB IEEE Trans Med Imaging; 2007 Sep; 26(9):1256-69. PubMed ID: 17896597 [TBL] [Abstract][Full Text] [Related]
14. 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]
15. Validating the performance of one-time decomposition for fMRI analysis using ICA with automatic target generation process. Yao S; Zeng W; Wang N; Chen L Magn Reson Imaging; 2013 Jul; 31(6):970-5. PubMed ID: 23587929 [TBL] [Abstract][Full Text] [Related]
16. Optimizing ICA in fMRI using information on spatial regularities of the sources. Valente G; De Martino F; Filosa G; Balsi M; Formisano E Magn Reson Imaging; 2009 Oct; 27(8):1110-9. PubMed ID: 19570634 [TBL] [Abstract][Full Text] [Related]
17. Probabilistic independent component analysis for functional magnetic resonance imaging. Beckmann CF; Smith SM IEEE Trans Med Imaging; 2004 Feb; 23(2):137-52. PubMed ID: 14964560 [TBL] [Abstract][Full Text] [Related]
18. Compressive-projection principal component analysis. Fowler JE IEEE Trans Image Process; 2009 Oct; 18(10):2230-42. PubMed ID: 19520637 [TBL] [Abstract][Full Text] [Related]
19. fMRI data analysis with nonstationary noise models: a Bayesian approach. Luo H; Puthusserypady S IEEE Trans Biomed Eng; 2007 Sep; 54(9):1621-30. PubMed ID: 17867354 [TBL] [Abstract][Full Text] [Related]
20. Neural network of speech monitoring overlaps with overt speech production and comprehension networks: a sequential spatial and temporal ICA study. van de Ven V; Esposito F; Christoffels IK Neuroimage; 2009 Oct; 47(4):1982-91. PubMed ID: 19481159 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]