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Items: 1 to 20 of 193

1.

Significant correlation between a set of genetic polymorphisms and a functional brain network revealed by feature selection and sparse Partial Least Squares.

Le Floch E, Guillemot V, Frouin V, Pinel P, Lalanne C, Trinchera L, Tenenhaus A, Moreno A, Zilbovicius M, Bourgeron T, Dehaene S, Thirion B, Poline JB, Duchesnay E.

Neuroimage. 2012 Oct 15;63(1):11-24. doi: 10.1016/j.neuroimage.2012.06.061. Epub 2012 Jul 8.

PMID:
22781162
2.

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 15;43(1):44-58. doi: 10.1016/j.neuroimage.2008.06.037. Epub 2008 Jul 11.

PMID:
18672070
3.

Comparison of variants of canonical correlation analysis and partial least squares for combined analysis of MRI and genetic data.

Grellmann C, Bitzer S, Neumann J, Westlye LT, Andreassen OA, Villringer A, Horstmann A.

Neuroimage. 2015 Feb 15;107:289-310. doi: 10.1016/j.neuroimage.2014.12.025. Epub 2014 Dec 17.

PMID:
25527238
4.

SACICA: a sparse approximation coefficient-based ICA model for functional magnetic resonance imaging data analysis.

Wang N, Zeng W, Chen L.

J Neurosci Methods. 2013 May 30;216(1):49-61. doi: 10.1016/j.jneumeth.2013.03.014. Epub 2013 Apr 4.

PMID:
23563324
5.

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 Jr.

Neuroimage. 2010 Oct 1;52(4):1444-55. doi: 10.1016/j.neuroimage.2010.05.022. Epub 2010 Jun 1.

PMID:
20472076
6.

Optimization of fMRI-derived ROIs based on coherent functional interaction patterns.

Deng F, Zhu D, Liu T.

Med Image Comput Comput Assist Interv. 2012;15(Pt 3):214-22.

PMID:
23286133
7.

Parcellation of fMRI datasets with ICA and PLS--a data driven approach.

Ji Y, Hervé PY, Aickelin U, Pitiot A.

Med Image Comput Comput Assist Interv. 2009;12(Pt 1):984-91.

PMID:
20426084
8.

Test-retest reliability of resting-state connectivity network characteristics using fMRI and graph theoretical measures.

Braun U, Plichta MM, Esslinger C, Sauer C, Haddad L, Grimm O, Mier D, Mohnke S, Heinz A, Erk S, Walter H, Seiferth N, Kirsch P, Meyer-Lindenberg A.

Neuroimage. 2012 Jan 16;59(2):1404-12. doi: 10.1016/j.neuroimage.2011.08.044. Epub 2011 Aug 23.

PMID:
21888983
9.

Automated artifact detection and removal for improved tensor estimation in motion-corrupted DTI data sets using the combination of local binary patterns and 2D partial least squares.

Zhou Z, Liu W, Cui J, Wang X, Arias D, Wen Y, Bansal R, Hao X, Wang Z, Peterson BS, Xu D.

Magn Reson Imaging. 2011 Feb;29(2):230-42. doi: 10.1016/j.mri.2010.06.022. Epub 2010 Dec 3.

PMID:
21129881
10.

Unsupervised learning of brain states from fMRI data.

Janoos F, Machiraju R, Sammet S, Knopp MV, Mórocz IA.

Med Image Comput Comput Assist Interv. 2010;13(Pt 2):201-8.

PMID:
20879316
11.

Inferring group-wise consistent multimodal brain networks via multi-view spectral clustering.

Chen H, Li K, Zhu D, Zhang T, Jin C, Guo L, Li L, Liu T.

Med Image Comput Comput Assist Interv. 2012;15(Pt 3):297-304.

PMID:
23286143
12.

Permutation tests for classification: towards statistical significance in image-based studies.

Golland P, Fischl B.

Inf Process Med Imaging. 2003 Jul;18:330-41.

PMID:
15344469
13.

Accurate definition of brain regions position through the functional landmark approach.

Thirion B, Varoquaux G, Poline JB.

Med Image Comput Comput Assist Interv. 2010;13(Pt 2):241-8.

PMID:
20879321
14.

Fusing functional signals by sparse canonical correlation analysis improves network reproducibility.

Duda JT, Detre JA, Kim J, Gee JC, Avants BB.

Med Image Comput Comput Assist Interv. 2013;16(Pt 3):635-42.

PMID:
24505815
15.

Correlation-based multivariate analysis of genetic influence on brain volume.

Hardoon DR, Ettinger U, Mourão-Miranda J, Antonova E, Collier D, Kumari V, Williams SC, Brammer M.

Neurosci Lett. 2009 Feb 6;450(3):281-6. doi: 10.1016/j.neulet.2008.11.035. Epub 2008 Nov 18.

PMID:
19028548
16.

Overlapping replicator dynamics for functional subnetwork identification.

Yoldemir B, Ng B, Abugharbieh R.

Med Image Comput Comput Assist Interv. 2013;16(Pt 2):682-9.

PMID:
24579200
17.

Combining functional and anatomical connectivity reveals brain networks for auditory language comprehension.

Saur D, Schelter B, Schnell S, Kratochvil D, Küpper H, Kellmeyer P, Kümmerer D, Klöppel S, Glauche V, Lange R, Mader W, Feess D, Timmer J, Weiller C.

Neuroimage. 2010 Feb 15;49(4):3187-97. doi: 10.1016/j.neuroimage.2009.11.009. Epub 2009 Nov 12.

PMID:
19913624
18.

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.

PMID:
17274023
19.

Dimension reduction and variable selection for genomic selection: application to predicting milk yield in Holsteins.

Long N, Gianola D, Rosa GJ, Weigel KA.

J Anim Breed Genet. 2011 Aug;128(4):247-57. doi: 10.1111/j.1439-0388.2011.00917.x. Epub 2011 Mar 28.

PMID:
21749471
20.

Enhancing the reproducibility of group analysis with randomized brain parcellations.

Da Mota B, Fritsch V, Varoquaux G, Frouin V, Poline JB, Thirion B.

Med Image Comput Comput Assist Interv. 2013;16(Pt 2):591-8.

PMID:
24579189

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