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Results: 1 to 20 of 124

Related Citations for PubMed (Select 19896537)

1.

Reliable intrinsic connectivity networks: test-retest evaluation using ICA and dual regression approach.

Zuo XN, Kelly C, Adelstein JS, Klein DF, Castellanos FX, Milham MP.

Neuroimage. 2010 Feb 1;49(3):2163-77. doi: 10.1016/j.neuroimage.2009.10.080. Epub 2009 Nov 5.

2.

Investigating univariate temporal patterns for intrinsic connectivity networks based on complexity and low-frequency oscillation: a test-retest reliability study.

Wang X, Jiao Y, Tang T, Wang H, Lu Z.

Neuroscience. 2013 Dec 19;254:404-26. doi: 10.1016/j.neuroscience.2013.09.009. Epub 2013 Sep 13.

PMID:
24042040
3.

Neurometrics of intrinsic connectivity networks at rest using fMRI: retest reliability and cross-validation using a meta-level method.

Wisner KM, Atluri G, Lim KO, Macdonald AW 3rd.

Neuroimage. 2013 Aug 1;76:236-51. doi: 10.1016/j.neuroimage.2013.02.066. Epub 2013 Mar 15.

PMID:
23507379
4.

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 15;51(4):1414-24. doi: 10.1016/j.neuroimage.2010.03.039. Epub 2010 Mar 23.

PMID:
20338245
5.

One-year test-retest reliability of intrinsic connectivity network fMRI in older adults.

Guo CC, Kurth F, Zhou J, Mayer EA, Eickhoff SB, Kramer JH, Seeley WW.

Neuroimage. 2012 Jul 16;61(4):1471-83. doi: 10.1016/j.neuroimage.2012.03.027. Epub 2012 Mar 14.

6.

Quantifying temporal correlations: a test-retest evaluation of functional connectivity in resting-state fMRI.

Fiecas M, Ombao H, van Lunen D, Baumgartner R, Coimbra A, Feng D.

Neuroimage. 2013 Jan 15;65:231-41. doi: 10.1016/j.neuroimage.2012.09.052. Epub 2012 Sep 29.

PMID:
23032492
7.

Comparison of multi-subject ICA methods for analysis of fMRI data.

Erhardt EB, Rachakonda S, Bedrick EJ, Allen EA, Adali T, Calhoun VD.

Hum Brain Mapp. 2011 Dec;32(12):2075-95. doi: 10.1002/hbm.21170. Epub 2010 Dec 15.

8.

Changes in resting-state functionally connected parietofrontal networks after videogame practice.

Martínez K, Solana AB, Burgaleta M, Hernández-Tamames JA, Alvarez-Linera J, Román FJ, Alfayate E, Privado J, Escorial S, Quiroga MA, Karama S, Bellec P, Colom R.

Hum Brain Mapp. 2013 Dec;34(12):3143-57. doi: 10.1002/hbm.22129. Epub 2012 Jul 17.

PMID:
22807280
9.

Impact of analysis methods on the reproducibility and reliability of resting-state networks.

Franco AR, Mannell MV, Calhoun VD, Mayer AR.

Brain Connect. 2013;3(4):363-74. doi: 10.1089/brain.2012.0134. Epub 2013 Aug 3.

10.

Resting-state fMRI can reliably map neural networks in children.

Thomason ME, Dennis EL, Joshi AA, Joshi SH, Dinov ID, Chang C, Henry ML, Johnson RF, Thompson PM, Toga AW, Glover GH, Van Horn JD, Gotlib IH.

Neuroimage. 2011 Mar 1;55(1):165-75. doi: 10.1016/j.neuroimage.2010.11.080. Epub 2010 Dec 4.

11.

Toward reliable characterization of functional homogeneity in the human brain: preprocessing, scan duration, imaging resolution and computational space.

Zuo XN, Xu T, Jiang L, Yang Z, Cao XY, He Y, Zang YF, Castellanos FX, Milham MP.

Neuroimage. 2013 Jan 15;65:374-86. doi: 10.1016/j.neuroimage.2012.10.017. Epub 2012 Oct 17.

12.

Test-retest assessment of independent component analysis-derived resting-state functional connectivity based on functional near-infrared spectroscopy.

Zhang H, Duan L, Zhang YJ, Lu CM, Liu H, Zhu CZ.

Neuroimage. 2011 Mar 15;55(2):607-15. doi: 10.1016/j.neuroimage.2010.12.007. Epub 2010 Dec 10.

PMID:
21146616
13.

Network-specific effects of age and in-scanner subject motion: a resting-state fMRI study of 238 healthy adults.

Mowinckel AM, Espeseth T, Westlye LT.

Neuroimage. 2012 Nov 15;63(3):1364-73. doi: 10.1016/j.neuroimage.2012.08.004. Epub 2012 Aug 10.

PMID:
22992492
14.

Quantitative comparison of resting-state functional connectivity derived from fNIRS and fMRI: a simultaneous recording study.

Duan L, Zhang YJ, Zhu CZ.

Neuroimage. 2012 May 1;60(4):2008-18. doi: 10.1016/j.neuroimage.2012.02.014. Epub 2012 Feb 14.

PMID:
22366082
15.

The impact of "physiological correction" on functional connectivity analysis of pharmacological resting state fMRI.

Khalili-Mahani N, Chang C, van Osch MJ, Veer IM, van Buchem MA, Dahan A, Beckmann CF, van Gerven JM, Rombouts SA.

Neuroimage. 2013 Jan 15;65:499-510. doi: 10.1016/j.neuroimage.2012.09.044. Epub 2012 Sep 25.

PMID:
23022093
16.

ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging.

Griffanti L, Salimi-Khorshidi G, Beckmann CF, Auerbach EJ, Douaud G, Sexton CE, Zsoldos E, Ebmeier KP, Filippini N, Mackay CE, Moeller S, Xu J, Yacoub E, Baselli G, Ugurbil K, Miller KL, Smith SM.

Neuroimage. 2014 Jul 15;95:232-47. doi: 10.1016/j.neuroimage.2014.03.034. Epub 2014 Mar 21.

PMID:
24657355
17.

Characterizing individual differences in functional connectivity using dual-regression and seed-based approaches.

Smith DV, Utevsky AV, Bland AR, Clement N, Clithero JA, Harsch AE, McKell Carter R, Huettel SA.

Neuroimage. 2014 Jul 15;95:1-12. doi: 10.1016/j.neuroimage.2014.03.042. Epub 2014 Mar 21.

PMID:
24662574
18.

Functional connectivity during resting-state functional MR imaging: study of the correspondence between independent component analysis and region-of-interest-based methods.

Rosazza C, Minati L, Ghielmetti F, Mandelli ML, Bruzzone MG.

AJNR Am J Neuroradiol. 2012 Jan;33(1):180-7. doi: 10.3174/ajnr.A2733. Epub 2011 Oct 13.

19.

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
20.

Model-free fMRI group analysis using FENICA.

Schöpf V, Windischberger C, Robinson S, Kasess CH, Fischmeister FP, Lanzenberger R, Albrecht J, Kleemann AM, Kopietz R, Wiesmann M, Moser E.

Neuroimage. 2011 Mar 1;55(1):185-93. doi: 10.1016/j.neuroimage.2010.11.010. Epub 2010 Nov 13.

PMID:
21078400
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