Similar articles for PMID: 26678535

Year	Number of Results
1993	1
1999	1
2001	2
2005	5
2006	2
2007	4
2008	5
2009	9
2010	8
2011	14
2012	16
2013	18
2014	21
2015	16
2016	5
2017	9
2018	5
2019	4
2020	3
2021	1
2022	2
2023	1
2024	0

1

On the origins of the 'global signal' determined by functional magnetic resonance imaging in the resting state.

Bennett MR, Farnell L, Gibson W, Lagopoulos J. Bennett MR, et al. J Neural Eng. 2016 Feb;13(1):016012. doi: 10.1088/1741-2560/13/1/016012. Epub 2015 Dec 17. J Neural Eng. 2016. PMID: 26678535

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. Carbonell F, et al. Neuroimage. 2014 Feb 1;86:343-53. doi: 10.1016/j.neuroimage.2013.10.013. Epub 2013 Oct 12. Neuroimage. 2014. PMID: 24128734

3

Anticorrelated networks in resting-state fMRI-BOLD data.

Liu Y, Huang L, Li M, Zhou Z, Hu D. Liu Y, et al. Biomed Mater Eng. 2015;26 Suppl 1:S1201-11. doi: 10.3233/BME-151417. Biomed Mater Eng. 2015. PMID: 26405879

4

A blind deconvolution approach to recover effective connectivity brain networks from resting state fMRI data.

Wu GR, Liao W, Stramaglia S, Ding JR, Chen H, Marinazzo D. Wu GR, et al. Med Image Anal. 2013 Apr;17(3):365-74. doi: 10.1016/j.media.2013.01.003. Epub 2013 Jan 29. Med Image Anal. 2013. PMID: 23422254

5

Anticorrelations in resting state networks without global signal regression.

Chai XJ, Castañón AN, Ongür D, Whitfield-Gabrieli S. Chai XJ, et al. Neuroimage. 2012 Jan 16;59(2):1420-8. doi: 10.1016/j.neuroimage.2011.08.048. Epub 2011 Aug 26. Neuroimage. 2012. PMID: 21889994 Free PMC article.

6

Pattern classification of fMRI data: applications for analysis of spatially distributed cortical networks.

Yourganov G, Schmah T, Churchill NW, Berman MG, Grady CL, Strother SC. Yourganov G, et al. Neuroimage. 2014 Aug 1;96:117-32. doi: 10.1016/j.neuroimage.2014.03.074. Epub 2014 Apr 4. Neuroimage. 2014. PMID: 24705202

7

Resting-state functional magnetic resonance imaging: the impact of regression analysis.

Yeh CJ, Tseng YS, Lin YR, Tsai SY, Huang TY. Yeh CJ, et al. J Neuroimaging. 2015 Jan-Feb;25(1):117-23. doi: 10.1111/jon.12085. Epub 2014 Feb 26. J Neuroimaging. 2015. PMID: 24571121

8

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. Weissenbacher A, et al. Neuroimage. 2009 Oct 1;47(4):1408-16. doi: 10.1016/j.neuroimage.2009.05.005. Epub 2009 May 13. Neuroimage. 2009. PMID: 19442749

9

A NIRS-fMRI study of resting state network.

Sasai S, Homae F, Watanabe H, Sasaki AT, Tanabe HC, Sadato N, Taga G. Sasai S, et al. Neuroimage. 2012 Oct 15;63(1):179-93. doi: 10.1016/j.neuroimage.2012.06.011. Epub 2012 Jun 17. Neuroimage. 2012. PMID: 22713670

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. Sato JR, et al. Neuroimage. 2010 Oct 1;52(4):1444-55. doi: 10.1016/j.neuroimage.2010.05.022. Epub 2010 Jun 1. Neuroimage. 2010. PMID: 20472076 Free article.

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