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Items: 1 to 20 of 100

1.

Interaction of Developmental Venous Anomalies with Resting-State Functional MRI Measures.

Sundermann B, Pfleiderer B, Minnerup H, Berger K, Douaud G.

AJNR Am J Neuroradiol. 2018 Nov 1. doi: 10.3174/ajnr.A5847. [Epub ahead of print]

PMID:
30385467
2.

Automatic denoising of functional MRI data: combining independent component analysis and hierarchical fusion of classifiers.

Salimi-Khorshidi G, Douaud G, Beckmann CF, Glasser MF, Griffanti L, Smith SM.

Neuroimage. 2014 Apr 15;90:449-68. doi: 10.1016/j.neuroimage.2013.11.046. Epub 2014 Jan 2.

3.

Diffusion and perfusion MRI findings of the signal-intensity abnormalities of brain associated with developmental venous anomaly.

Jung HN, Kim ST, Cha J, Kim HJ, Byun HS, Jeon P, Kim KH, Kim BJ, Kim HJ.

AJNR Am J Neuroradiol. 2014 Aug;35(8):1539-42. doi: 10.3174/ajnr.A3900. Epub 2014 Mar 20.

4.

Resting-state fMRI confounds and cleanup.

Murphy K, Birn RM, Bandettini PA.

Neuroimage. 2013 Oct 15;80:349-59. doi: 10.1016/j.neuroimage.2013.04.001. Epub 2013 Apr 6. Review.

5.

Presurgical Assessment of the Sensorimotor Cortex Using Resting-State fMRI.

Schneider FC, Pailler M, Faillenot I, Vassal F, Guyotat J, Barral FG, Boutet C.

AJNR Am J Neuroradiol. 2016 Jan;37(1):101-7. doi: 10.3174/ajnr.A4472. Epub 2015 Sep 17.

6.

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
7.

Analysis of fMRI data by blind separation into independent spatial components.

McKeown MJ, Makeig S, Brown GG, Jung TP, Kindermann SS, Bell AJ, Sejnowski TJ.

Hum Brain Mapp. 1998;6(3):160-88.

PMID:
9673671
8.

Robust resting state fMRI processing for studies on typical brain development based on multi-echo EPI acquisition.

Kundu P, Benson BE, Baldwin KL, Rosen D, Luh WM, Bandettini PA, Pine DS, Ernst M.

Brain Imaging Behav. 2015 Mar;9(1):56-73. doi: 10.1007/s11682-014-9346-4.

PMID:
25592183
9.

Automatic independent component labeling for artifact removal in fMRI.

Tohka J, Foerde K, Aron AR, Tom SM, Toga AW, Poldrack RA.

Neuroimage. 2008 Feb 1;39(3):1227-45. Epub 2007 Oct 25.

10.

Denoising the speaking brain: toward a robust technique for correcting artifact-contaminated fMRI data under severe motion.

Xu Y, Tong Y, Liu S, Chow HM, AbdulSabur NY, Mattay GS, Braun AR.

Neuroimage. 2014 Dec;103:33-47. doi: 10.1016/j.neuroimage.2014.09.013. Epub 2014 Sep 16.

11.

Comparison of separation performance of independent component analysis algorithms for fMRI data.

Sariya YK, Anand RS.

J Integr Neurosci. 2017;16(2):157-175. doi: 10.3233/JIN-170006.

PMID:
28891507
12.

Reduction of Motion Artifacts and Noise Using Independent Component Analysis in Task-Based Functional MRI for Preoperative Planning in Patients with Brain Tumor.

Middlebrooks EH, Frost CJ, Tuna IS, Schmalfuss IM, Rahman M, Old Crow A.

AJNR Am J Neuroradiol. 2017 Feb;38(2):336-342. doi: 10.3174/ajnr.A4996. Epub 2016 Nov 10.

13.

Integrated strategy for improving functional connectivity mapping using multiecho fMRI.

Kundu P, Brenowitz ND, Voon V, Worbe Y, Vértes PE, Inati SJ, Saad ZS, Bandettini PA, Bullmore ET.

Proc Natl Acad Sci U S A. 2013 Oct 1;110(40):16187-92. doi: 10.1073/pnas.1301725110. Epub 2013 Sep 13.

14.

Brain parenchymal signal abnormalities associated with developmental venous anomalies in children and young adults.

Linscott LL, Leach JL, Zhang B, Jones BV.

AJNR Am J Neuroradiol. 2014 Aug;35(8):1600-7. doi: 10.3174/ajnr.A3960. Epub 2014 May 15.

15.

Methods for cleaning the BOLD fMRI signal.

Caballero-Gaudes C, Reynolds RC.

Neuroimage. 2017 Jul 1;154:128-149. doi: 10.1016/j.neuroimage.2016.12.018. Epub 2016 Dec 9. Review.

16.

In Vivo Observations of Rapid Scattered Light Changes Associated with Neurophysiological Activity.

Rector DM, Yao X, Harper RM, George JS.

In: Frostig RD, editor. In Vivo Optical Imaging of Brain Function. 2nd edition. Boca Raton (FL): CRC Press/Taylor & Francis; 2009. Chapter 5.

17.

Functional connectivity in the rat at 11.7T: Impact of physiological noise in resting state fMRI.

Kalthoff D, Seehafer JU, Po C, Wiedermann D, Hoehn M.

Neuroimage. 2011 Feb 14;54(4):2828-39. doi: 10.1016/j.neuroimage.2010.10.053. Epub 2010 Oct 23.

PMID:
20974263
18.

Presurgical Brain Mapping of the Ventral Somatomotor Network in Patients with Brain Tumors Using Resting-State fMRI.

Yahyavi-Firouz-Abadi N, Pillai JJ, Lindquist MA, Calhoun VD, Agarwal S, Airan RD, Caffo B, Gujar SK, Sair HI.

AJNR Am J Neuroradiol. 2017 May;38(5):1006-1012. doi: 10.3174/ajnr.A5132. Epub 2017 Mar 31.

19.

Confirmation of resting-state BOLD fluctuations in the human brainstem and spinal cord after identification and removal of physiological noise.

Harita S, Stroman PW.

Magn Reson Med. 2017 Dec;78(6):2149-2156. doi: 10.1002/mrm.26606. Epub 2017 Jan 11.

PMID:
28074492
20.

Voxel-wise motion artifacts in population-level whole-brain connectivity analysis of resting-state FMRI.

Spisák T, Jakab A, Kis SA, Opposits G, Aranyi C, Berényi E, Emri M.

PLoS One. 2014 Sep 4;9(9):e104947. doi: 10.1371/journal.pone.0104947. eCollection 2014.

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