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Items: 1 to 20 of 120

1.

Eigenvector centrality mapping for analyzing connectivity patterns in fMRI data of the human brain.

Lohmann G, Margulies DS, Horstmann A, Pleger B, Lepsien J, Goldhahn D, Schloegl H, Stumvoll M, Villringer A, Turner R.

PLoS One. 2010 Apr 27;5(4):e10232. doi: 10.1371/journal.pone.0010232.

2.

Fast eigenvector centrality mapping of voxel-wise connectivity in functional magnetic resonance imaging: implementation, validation, and interpretation.

Wink AM, de Munck JC, van der Werf YD, van den Heuvel OA, Barkhof F.

Brain Connect. 2012;2(5):265-74. doi: 10.1089/brain.2012.0087.

PMID:
23016836
3.

Network centrality in the human functional connectome.

Zuo XN, Ehmke R, Mennes M, Imperati D, Castellanos FX, Sporns O, Milham MP.

Cereb Cortex. 2012 Aug;22(8):1862-75. doi: 10.1093/cercor/bhr269. Epub 2011 Oct 2.

4.

A new measure of centrality for brain networks.

Joyce KE, Laurienti PJ, Burdette JH, Hayasaka S.

PLoS One. 2010 Aug 16;5(8):e12200. doi: 10.1371/journal.pone.0012200.

5.

Disconnection of network hubs and cognitive impairment after traumatic brain injury.

Fagerholm ED, Hellyer PJ, Scott G, Leech R, Sharp DJ.

Brain. 2015 Jun;138(Pt 6):1696-709. doi: 10.1093/brain/awv075. Epub 2015 Mar 25.

6.

Functional connectivity analysis of fMRI data based on regularized multiset canonical correlation analysis.

Deleus F, Van Hulle MM.

J Neurosci Methods. 2011 Apr 15;197(1):143-57. doi: 10.1016/j.jneumeth.2010.11.029. Epub 2011 Jan 28.

PMID:
21277327
7.

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
8.

Functional connectivity as revealed by spatial independent component analysis of fMRI measurements during rest.

van de Ven VG, Formisano E, Prvulovic D, Roeder CH, Linden DE.

Hum Brain Mapp. 2004 Jul;22(3):165-78.

PMID:
15195284
9.

Connectivity concordance mapping: a new tool for model-free analysis of FMRI data of the human brain.

Lohmann G, Ovadia-Caro S, Jungehülsing GJ, Margulies DS, Villringer A, Turner R.

Front Syst Neurosci. 2012 Mar 20;6:13. doi: 10.3389/fnsys.2012.00013. eCollection 2012.

10.

Small-world and scale-free organization of voxel-based resting-state functional connectivity in the human brain.

van den Heuvel MP, Stam CJ, Boersma M, Hulshoff Pol HE.

Neuroimage. 2008 Nov 15;43(3):528-39. doi: 10.1016/j.neuroimage.2008.08.010. Epub 2008 Aug 22.

PMID:
18786642
11.

Regions of interest for resting-state fMRI analysis determined by inter-voxel cross-correlation.

Golestani AM, Goodyear BG.

Neuroimage. 2011 May 1;56(1):246-51. doi: 10.1016/j.neuroimage.2011.02.038. Epub 2011 Feb 19.

PMID:
21338691
12.

Coupled Intrinsic Connectivity Distribution analysis: a method for exploratory connectivity analysis of paired FMRI data.

Scheinost D, Shen X, Finn E, Sinha R, Constable RT, Papademetris X.

PLoS One. 2014 Mar 27;9(3):e93544. doi: 10.1371/journal.pone.0093544. eCollection 2014.

13.

Functional network centrality in obesity: A resting-state and task fMRI study.

García-García I, Jurado MÁ, Garolera M, Marqués-Iturria I, Horstmann A, Segura B, Pueyo R, Sender-Palacios MJ, Vernet-Vernet M, Villringer A, Junqué C, Margulies DS, Neumann J.

Psychiatry Res. 2015 Sep 30;233(3):331-8. doi: 10.1016/j.pscychresns.2015.05.017. Epub 2015 Jun 19.

PMID:
26145769
14.

Disruption of functional brain networks in Alzheimer's disease: what can we learn from graph spectral analysis of resting-state magnetoencephalography?

de Haan W, van der Flier WM, Wang H, Van Mieghem PF, Scheltens P, Stam CJ.

Brain Connect. 2012;2(2):45-55. doi: 10.1089/brain.2011.0043. Epub 2012 Jun 11.

PMID:
22480296
15.

Detecting network modules in fMRI time series: a weighted network analysis approach.

Mumford JA, Horvath S, Oldham MC, Langfelder P, Geschwind DH, Poldrack RA.

Neuroimage. 2010 Oct 1;52(4):1465-76. doi: 10.1016/j.neuroimage.2010.05.047. Epub 2010 May 27.

16.

Role of local network oscillations in resting-state functional connectivity.

Cabral J, Hugues E, Sporns O, Deco G.

Neuroimage. 2011 Jul 1;57(1):130-9. doi: 10.1016/j.neuroimage.2011.04.010. Epub 2011 Apr 12.

PMID:
21511044
17.

Modeling state-related fMRI activity using change-point theory.

Lindquist MA, Waugh C, Wager TD.

Neuroimage. 2007 Apr 15;35(3):1125-41. Epub 2007 Jan 23.

PMID:
17360198
18.

Probabilistic framework for brain connectivity from functional MR images.

Rajapakse JC, Wang Y, Zheng X, Zhou J.

IEEE Trans Med Imaging. 2008 Jun;27(6):825-33. doi: 10.1109/TMI.2008.915672.

PMID:
18541489
19.

How reliable are the functional connectivity networks of MEG in resting states?

Jin SH, Seol J, Kim JS, Chung CK.

J Neurophysiol. 2011 Dec;106(6):2888-95. doi: 10.1152/jn.00335.2011. Epub 2011 Aug 31.

20.

Mapping the voxel-wise effective connectome in resting state FMRI.

Wu GR, Stramaglia S, Chen H, Liao W, Marinazzo D.

PLoS One. 2013 Sep 12;8(9):e73670. doi: 10.1371/journal.pone.0073670. eCollection 2013.

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