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Items: 1 to 20 of 131

1.

Estimation of functional connectivity in fMRI data using stability selection-based sparse partial correlation with elastic net penalty.

Ryali S, Chen T, Supekar K, Menon V.

Neuroimage. 2012 Feb 15;59(4):3852-61. doi: 10.1016/j.neuroimage.2011.11.054. Epub 2011 Dec 1.

2.

Estimation of resting-state functional connectivity using random subspace based partial correlation: a novel method for reducing global artifacts.

Chen T, Ryali S, Qin S, Menon V.

Neuroimage. 2013 Nov 15;82:87-100. doi: 10.1016/j.neuroimage.2013.05.118. Epub 2013 Jun 5.

3.

A novel joint sparse partial correlation method for estimating group functional networks.

Liang X, Connelly A, Calamante F.

Hum Brain Mapp. 2016 Mar;37(3):1162-77. doi: 10.1002/hbm.23092. Epub 2015 Dec 21.

PMID:
26859311
4.

Sparse regularization techniques provide novel insights into outcome integration processes.

Mohr H, Wolfensteller U, Frimmel S, Ruge H.

Neuroimage. 2015 Jan 1;104:163-76. doi: 10.1016/j.neuroimage.2014.10.025. Epub 2014 Oct 22.

5.

An Efficient and Reliable Statistical Method for Estimating Functional Connectivity in Large Scale Brain Networks Using Partial Correlation.

Wang Y, Kang J, Kemmer PB, Guo Y.

Front Neurosci. 2016 Mar 31;10:123. doi: 10.3389/fnins.2016.00123. eCollection 2016.

6.

Sparse logistic regression for whole-brain classification of fMRI data.

Ryali S, Supekar K, Abrams DA, Menon V.

Neuroimage. 2010 Jun;51(2):752-64. doi: 10.1016/j.neuroimage.2010.02.040. Epub 2010 Feb 24.

7.

Testing group differences in brain functional connectivity: using correlations or partial correlations?

Kim J, Wozniak JR, Mueller BA, Pan W.

Brain Connect. 2015 May;5(4):214-31. doi: 10.1089/brain.2014.0319. Epub 2015 Feb 25.

8.

Bayesian Estimation of Conditional Independence Graphs Improves Functional Connectivity Estimates.

Hinne M, Janssen RJ, Heskes T, van Gerven MA.

PLoS Comput Biol. 2015 Nov 5;11(11):e1004534. doi: 10.1371/journal.pcbi.1004534. eCollection 2015 Nov.

9.

Constrained sparse functional connectivity networks for MCI classification.

Wee CY, Yap PT, Zhang D, Wang L, Shen D.

Med Image Comput Comput Assist Interv. 2012;15(Pt 2):212-9.

10.

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
11.

Sparse logistic regression with a L1/2 penalty for gene selection in cancer classification.

Liang Y, Liu C, Luan XZ, Leung KS, Chan TM, Xu ZB, Zhang H.

BMC Bioinformatics. 2013 Jun 19;14:198. doi: 10.1186/1471-2105-14-198.

12.

Partial covariance based functional connectivity computation using Ledoit-Wolf covariance regularization.

Brier MR, Mitra A, McCarthy JE, Ances BM, Snyder AZ.

Neuroimage. 2015 Nov 1;121:29-38. doi: 10.1016/j.neuroimage.2015.07.039. Epub 2015 Jul 21.

13.

Identifying Sparse Connectivity Patterns in the brain using resting-state fMRI.

Eavani H, Satterthwaite TD, Filipovych R, Gur RE, Gur RC, Davatzikos C.

Neuroimage. 2015 Jan 15;105:286-99. doi: 10.1016/j.neuroimage.2014.09.058. Epub 2014 Oct 2.

14.

Detecting functional connectivity in fMRI using PCA and regression analysis.

Zhong Y, Wang H, Lu G, Zhang Z, Jiao Q, Liu Y.

Brain Topogr. 2009 Sep;22(2):134-44. doi: 10.1007/s10548-009-0095-4. Epub 2009 May 1.

PMID:
19408112
15.

Neurophysiological architecture of functional magnetic resonance images of human brain.

Salvador R, Suckling J, Coleman MR, Pickard JD, Menon D, Bullmore E.

Cereb Cortex. 2005 Sep;15(9):1332-42. Epub 2005 Jan 5.

PMID:
15635061
16.

Quantification of the impact of a confounding variable on functional connectivity confirms anti-correlated networks in the resting-state.

Carbonell F, Bellec P, Shmuel A.

Neuroimage. 2014 Feb 1;86:343-53. doi: 10.1016/j.neuroimage.2013.10.013. Epub 2013 Oct 12.

PMID:
24128734
17.

Estimating Large-Scale Network Convergence in the Human Functional Connectome.

Bell PT, Shine JM.

Brain Connect. 2015 Nov;5(9):565-74. doi: 10.1089/brain.2015.0348. Epub 2015 Aug 3.

PMID:
26005099
18.

Structurally-informed Bayesian functional connectivity analysis.

Hinne M, Ambrogioni L, Janssen RJ, Heskes T, van Gerven MA.

Neuroimage. 2014 Feb 1;86:294-305. doi: 10.1016/j.neuroimage.2013.09.075. Epub 2013 Oct 10.

PMID:
24121202
19.

Distributed BOLD and CBV-weighted resting-state networks in the mouse brain.

Sforazzini F, Schwarz AJ, Galbusera A, Bifone A, Gozzi A.

Neuroimage. 2014 Feb 15;87:403-15. doi: 10.1016/j.neuroimage.2013.09.050. Epub 2013 Sep 29.

PMID:
24080504
20.

Hubs of Anticorrelation in High-Resolution Resting-State Functional Connectivity Network Architecture.

Gopinath K, Krishnamurthy V, Cabanban R, Crosson BA.

Brain Connect. 2015 Jun;5(5):267-75. doi: 10.1089/brain.2014.0323. Epub 2015 Mar 24.

PMID:
25744222

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