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Items: 1 to 20 of 173

1.

The impact of global signal regression on resting state correlations: are anti-correlated networks introduced?

Murphy K, Birn RM, Handwerker DA, Jones TB, Bandettini PA.

Neuroimage. 2009 Feb 1;44(3):893-905. doi: 10.1016/j.neuroimage.2008.09.036. Epub 2008 Oct 11.

2.

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
3.

Anticorrelations in resting state networks without global signal regression.

Chai XJ, Castañón AN, Ongür D, Whitfield-Gabrieli S.

Neuroimage. 2012 Jan 16;59(2):1420-8. doi: 10.1016/j.neuroimage.2011.08.048. Epub 2011 Aug 26.

4.

Global and system-specific resting-state fMRI fluctuations are uncorrelated: principal component analysis reveals anti-correlated networks.

Carbonell F, Bellec P, Shmuel A.

Brain Connect. 2011;1(6):496-510. doi: 10.1089/brain.2011.0065. Epub 2012 Mar 23.

5.

A method to determine the necessity for global signal regression in resting-state fMRI studies.

Chen G, Chen G, Xie C, Ward BD, Li W, Antuono P, Li SJ.

Magn Reson Med. 2012 Dec;68(6):1828-35. doi: 10.1002/mrm.24201. Epub 2012 Feb 14.

6.

Anti-correlated networks, global signal regression, and the effects of caffeine in resting-state functional MRI.

Wong CW, Olafsson V, Tal O, Liu TT.

Neuroimage. 2012 Oct 15;63(1):356-64. doi: 10.1016/j.neuroimage.2012.06.035. Epub 2012 Jun 26.

7.

Resting-state functional connectivity reflects structural connectivity in the default mode network.

Greicius MD, Supekar K, Menon V, Dougherty RF.

Cereb Cortex. 2009 Jan;19(1):72-8. doi: 10.1093/cercor/bhn059. Epub 2008 Apr 9.

8.

The global signal and observed anticorrelated resting state brain networks.

Fox MD, Zhang D, Snyder AZ, Raichle ME.

J Neurophysiol. 2009 Jun;101(6):3270-83. doi: 10.1152/jn.90777.2008. Epub 2009 Apr 1.

9.

Effects of model-based physiological noise correction on default mode network anti-correlations and correlations.

Chang C, Glover GH.

Neuroimage. 2009 Oct 1;47(4):1448-59. doi: 10.1016/j.neuroimage.2009.05.012. Epub 2009 May 14.

10.

Identifying the default mode network structure using dynamic causal modeling on resting-state functional magnetic resonance imaging.

Di X, Biswal BB.

Neuroimage. 2014 Feb 1;86:53-9. doi: 10.1016/j.neuroimage.2013.07.071. Epub 2013 Aug 6.

11.

Correcting for Blood Arrival Time in Global Mean Regression Enhances Functional Connectivity Analysis of Resting State fMRI-BOLD Signals.

Erdoğan SB, Tong Y, Hocke LM, Lindsey KP, deB Frederick B.

Front Hum Neurosci. 2016 Jun 28;10:311. doi: 10.3389/fnhum.2016.00311. eCollection 2016 Jun 28.

12.

Correlations and anticorrelations in resting-state functional connectivity MRI: a quantitative comparison of preprocessing strategies.

Weissenbacher A, Kasess C, Gerstl F, Lanzenberger R, Moser E, Windischberger C.

Neuroimage. 2009 Oct 1;47(4):1408-16. doi: 10.1016/j.neuroimage.2009.05.005. Epub 2009 May 13.

PMID:
19442749
13.

A computational study of whole-brain connectivity in resting state and task fMRI.

Goparaju B, Rana KD, Calabro FJ, Vaina LM.

Med Sci Monit. 2014 Jun 20;20:1024-42. doi: 10.12659/MSM.891142.

14.

A NIRS-fMRI study of resting state network.

Sasai S, Homae F, Watanabe H, Sasaki AT, Tanabe HC, Sadato N, Taga G.

Neuroimage. 2012 Oct 15;63(1):179-93. doi: 10.1016/j.neuroimage.2012.06.011. Epub 2012 Jun 17.

PMID:
22713670
15.

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.

16.

BOLD correlates of EEG topography reveal rapid resting-state network dynamics.

Britz J, Van De Ville D, Michel CM.

Neuroimage. 2010 Oct 1;52(4):1162-70. doi: 10.1016/j.neuroimage.2010.02.052. Epub 2010 Feb 24.

PMID:
20188188
17.

The amplitude of the resting-state fMRI global signal is related to EEG vigilance measures.

Wong CW, Olafsson V, Tal O, Liu TT.

Neuroimage. 2013 Dec;83:983-90. doi: 10.1016/j.neuroimage.2013.07.057. Epub 2013 Jul 27.

18.

Inter-individual differences in resting-state functional connectivity predict task-induced BOLD activity.

Mennes M, Kelly C, Zuo XN, Di Martino A, Biswal BB, Castellanos FX, Milham MP.

Neuroimage. 2010 May 1;50(4):1690-701. doi: 10.1016/j.neuroimage.2010.01.002. Epub 2010 Jan 15. Erratum in: Neuroimage. 2011 Mar 1;55(1):434.

19.

Characterizing dynamic functional connectivity in the resting brain using variable parameter regression and Kalman filtering approaches.

Kang J, Wang L, Yan C, Wang J, Liang X, He Y.

Neuroimage. 2011 Jun 1;56(3):1222-34. doi: 10.1016/j.neuroimage.2011.03.033. Epub 2011 Mar 21.

PMID:
21420500
20.

Fractal analysis of spontaneous fluctuations of the BOLD signal in the human brain networks.

Li YC, Huang YA.

J Magn Reson Imaging. 2014 May;39(5):1118-25. doi: 10.1002/jmri.24274. Epub 2013 Sep 11.

PMID:
24027126

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