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Items: 1 to 20 of 100

1.

Evaluation of different cerebrospinal fluid and white matter fMRI filtering strategies-Quantifying noise removal and neural signal preservation.

Bartoň M, Mareček R, Krajčovičová L, Slavíček T, Kašpárek T, Zemánková P, Říha P, Mikl M.

Hum Brain Mapp. 2018 Nov 7. doi: 10.1002/hbm.24433. [Epub ahead of print]

PMID:
30403309
2.

Sensitivity of PPI analysis to differences in noise reduction strategies.

Barton M, Marecek R, Rektor I, Filip P, Janousova E, Mikl M.

J Neurosci Methods. 2015 Sep 30;253:218-32. doi: 10.1016/j.jneumeth.2015.06.021. Epub 2015 Jul 8.

PMID:
26162613
3.
4.

Extraction of dynamic functional connectivity from brain grey matter and white matter for MCI classification.

Chen X, Zhang H, Zhang L, Shen C, Lee SW, Shen D.

Hum Brain Mapp. 2017 Oct;38(10):5019-5034. doi: 10.1002/hbm.23711. Epub 2017 Jun 30.

5.

Phase stability in fMRI time series: effect of noise regression, off-resonance correction and spatial filtering techniques.

Hagberg GE, Bianciardi M, Brainovich V, Cassara AM, Maraviglia B.

Neuroimage. 2012 Feb 15;59(4):3748-61. doi: 10.1016/j.neuroimage.2011.10.095. Epub 2011 Nov 4.

PMID:
22079450
6.

Potential pitfalls when denoising resting state fMRI data using nuisance regression.

Bright MG, Tench CR, Murphy K.

Neuroimage. 2017 Jul 1;154:159-168. doi: 10.1016/j.neuroimage.2016.12.027. Epub 2016 Dec 23.

7.

A component based noise correction method (CompCor) for BOLD and perfusion based fMRI.

Behzadi Y, Restom K, Liau J, Liu TT.

Neuroimage. 2007 Aug 1;37(1):90-101. Epub 2007 May 3.

8.

An evaluation of the efficacy, reliability, and sensitivity of motion correction strategies for resting-state functional MRI.

Parkes L, Fulcher B, Yücel M, Fornito A.

Neuroimage. 2018 May 1;171:415-436. doi: 10.1016/j.neuroimage.2017.12.073. Epub 2017 Dec 24.

9.

Optimization of rs-fMRI Pre-processing for Enhanced Signal-Noise Separation, Test-Retest Reliability, and Group Discrimination.

Shirer WR, Jiang H, Price CM, Ng B, Greicius MD.

Neuroimage. 2015 Aug 15;117:67-79. doi: 10.1016/j.neuroimage.2015.05.015. Epub 2015 May 15.

PMID:
25987368
10.

Characterizing Signals Within Lesions and Mapping Brain Network Connectivity After Traumatic Axonal Injury: A 7 Tesla Resting-State FMRI Study.

Lee S, Polimeni JR, Price CM, Edlow BL, McNab JA.

Brain Connect. 2018 Jun;8(5):288-298. doi: 10.1089/brain.2017.0499.

PMID:
29665699
11.

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
12.

Vascular coupling in resting-state fMRI: evidence from multiple modalities.

Zhu DC, Tarumi T, Khan MA, Zhang R.

J Cereb Blood Flow Metab. 2015 Dec;35(12):1910-20. doi: 10.1038/jcbfm.2015.166. Epub 2015 Jul 15.

13.

A kernel machine-based fMRI physiological noise removal method.

Song X, Chen NK, Gaur P.

Magn Reson Imaging. 2014 Feb;32(2):150-62. doi: 10.1016/j.mri.2013.10.008. Epub 2013 Oct 19.

14.

Multiple time scale complexity analysis of resting state FMRI.

Smith RX, Yan L, Wang DJ.

Brain Imaging Behav. 2014 Jun;8(2):284-91. doi: 10.1007/s11682-013-9276-6. Epub 2013 Nov 16.

15.

Improving the use of principal component analysis to reduce physiological noise and motion artifacts to increase the sensitivity of task-based fMRI.

Soltysik DA, Thomasson D, Rajan S, Biassou N.

J Neurosci Methods. 2015 Feb 15;241:18-29. doi: 10.1016/j.jneumeth.2014.11.015. Epub 2014 Dec 4.

16.

How restful is it with all that noise? Comparison of Interleaved silent steady state (ISSS) and conventional imaging in resting-state fMRI.

Andoh J, Ferreira M, Leppert IR, Matsushita R, Pike B, Zatorre RJ.

Neuroimage. 2017 Feb 15;147:726-735. doi: 10.1016/j.neuroimage.2016.11.065. Epub 2016 Nov 27.

PMID:
27902936
17.

Mapping the mouse brain with rs-fMRI: An optimized pipeline for functional network identification.

Zerbi V, Grandjean J, Rudin M, Wenderoth N.

Neuroimage. 2015 Dec;123:11-21. doi: 10.1016/j.neuroimage.2015.07.090. Epub 2015 Aug 18.

PMID:
26296501
18.

On the origins of signal variance in FMRI of the human midbrain at high field.

Barry RL, Coaster M, Rogers BP, Newton AT, Moore J, Anderson AW, Zald DH, Gore JC.

PLoS One. 2013 Apr 26;8(4):e62708. doi: 10.1371/journal.pone.0062708. Print 2013.

19.

Evaluation of ICA-AROMA and alternative strategies for motion artifact removal in resting state fMRI.

Pruim RHR, Mennes M, Buitelaar JK, Beckmann CF.

Neuroimage. 2015 May 15;112:278-287. doi: 10.1016/j.neuroimage.2015.02.063. Epub 2015 Mar 11.

PMID:
25770990
20.

Dynamic retrospective filtering of physiological noise in BOLD fMRI: DRIFTER.

Särkkä S, Solin A, Nummenmaa A, Vehtari A, Auranen T, Vanni S, Lin FH.

Neuroimage. 2012 Apr 2;60(2):1517-27. doi: 10.1016/j.neuroimage.2012.01.067. Epub 2012 Jan 18.

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