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Items: 1 to 20 of 79

1.

Review of methods for functional brain connectivity detection using fMRI.

Li K, Guo L, Nie J, Li G, Liu T.

Comput Med Imaging Graph. 2009 Mar;33(2):131-9. doi: 10.1016/j.compmedimag.2008.10.011. Epub 2008 Dec 25. Review.

2.

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
3.

Modelling hierarchical structure in functional brain networks.

Gleiser PM, Spoormaker VI.

Philos Trans A Math Phys Eng Sci. 2010 Dec 28;368(1933):5633-44. doi: 10.1098/rsta.2010.0279.

4.

[A brain functional connectivity analysis based on independent component analysis].

Zeng L, Yang Q, Lin B, Chen H.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2009 Apr;26(2):408-12. Chinese.

PMID:
19499813
5.

A multi-level parcellation approach for brain functional connectivity analysis.

Karkar S, Faisan S, Thoraval L, Foucher JR.

Conf Proc IEEE Eng Med Biol Soc. 2009;2009:3497-500. doi: 10.1109/IEMBS.2009.5334578.

PMID:
19964995
6.

Model-free functional MRI analysis using topographic independent component analysis.

Meyer-Bäse A, Lange O, Wismüller A, Ritter H.

Int J Neural Syst. 2004 Aug;14(4):217-28.

PMID:
15372699
7.

Striatal functional connectivity networks are modulated by fMRI resting state conditions.

Gopinath K, Ringe W, Goyal A, Carter K, Dinse HR, Haley R, Briggs R.

Neuroimage. 2011 Jan 1;54(1):380-8. doi: 10.1016/j.neuroimage.2010.07.021. Epub 2010 Jul 14.

PMID:
20637878
8.

A sliding time-window ICA reveals spatial variability of the default mode network in time.

Kiviniemi V, Vire T, Remes J, Elseoud AA, Starck T, Tervonen O, Nikkinen J.

Brain Connect. 2011;1(4):339-47. doi: 10.1089/brain.2011.0036.

PMID:
22432423
9.

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
10.

The resting brain: unconstrained yet reliable.

Shehzad Z, Kelly AM, Reiss PT, Gee DG, Gotimer K, Uddin LQ, Lee SH, Margulies DS, Roy AK, Biswal BB, Petkova E, Castellanos FX, Milham MP.

Cereb Cortex. 2009 Oct;19(10):2209-29. doi: 10.1093/cercor/bhn256. Epub 2009 Feb 16.

11.

Decoding brain states from fMRI connectivity graphs.

Richiardi J, Eryilmaz H, Schwartz S, Vuilleumier P, Van De Ville D.

Neuroimage. 2011 May 15;56(2):616-26. doi: 10.1016/j.neuroimage.2010.05.081. Epub 2010 Jun 9.

PMID:
20541019
12.

A review of functional magnetic resonance imaging for Brainnetome.

Song M, Jiang T.

Neurosci Bull. 2012 Aug;28(4):389-98. doi: 10.1007/s12264-012-1244-4. Review.

13.

Functional connectivity MRI in infants: exploration of the functional organization of the developing brain.

Smyser CD, Snyder AZ, Neil JJ.

Neuroimage. 2011 Jun 1;56(3):1437-52. doi: 10.1016/j.neuroimage.2011.02.073. Epub 2011 Mar 3. Review.

14.

The identification of interacting networks in the brain using fMRI: Model selection, causality and deconvolution.

Roebroeck A, Formisano E, Goebel R.

Neuroimage. 2011 Sep 15;58(2):296-302. doi: 10.1016/j.neuroimage.2009.09.036. Epub 2009 Sep 25.

PMID:
19786106
15.

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
16.
17.

Relating structural and functional connectivity in MRI: a simple model for a complex brain.

Messé A, Benali H, Marrelec G.

IEEE Trans Med Imaging. 2015 Jan;34(1):27-37. doi: 10.1109/TMI.2014.2341732. Epub 2014 Jul 23.

PMID:
25069111
18.

Comparison of two exploratory data analysis methods for fMRI: unsupervised clustering versus independent component analysis.

Meyer-Baese A, Wismueller A, Lange O.

IEEE Trans Inf Technol Biomed. 2004 Sep;8(3):387-98.

PMID:
15484444
19.

Frequency domain connectivity identification: an application of partial directed coherence in fMRI.

Sato JR, Takahashi DY, Arcuri SM, Sameshima K, Morettin PA, Baccalá LA.

Hum Brain Mapp. 2009 Feb;30(2):452-61.

PMID:
18064582
20.

Dynamic regional phase synchrony (DRePS): An Instantaneous Measure of Local fMRI Connectivity Within Spatially Clustered Brain Areas.

Omidvarnia A, Pedersen M, Walz JM, Vaughan DN, Abbott DF, Jackson GD.

Hum Brain Mapp. 2016 May;37(5):1970-85. doi: 10.1002/hbm.23151. Epub 2016 Mar 28.

PMID:
27019380

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