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Journal Abstract Search

266 related items for PubMed ID: 23153969

  • 1. Evaluation and calibration of functional network modeling methods based on known anatomical connections.
    Dawson DA, Cha K, Lewis LB, Mendola JD, Shmuel A.
    Neuroimage; 2013 Feb 15; 67():331-43. PubMed ID: 23153969
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  • 3. Bayesian networks for fMRI: a primer.
    Mumford JA, Ramsey JD.
    Neuroimage; 2014 Feb 01; 86():573-82. PubMed ID: 24140939
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  • 4. Topographically specific functional connectivity between visual field maps in the human brain.
    Heinzle J, Kahnt T, Haynes JD.
    Neuroimage; 2011 Jun 01; 56(3):1426-36. PubMed ID: 21376818
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  • 6. 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.
    Neuroimage; 2010 Oct 01; 52(4):1444-55. PubMed ID: 20472076
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  • 7. Linking retinotopic fMRI mapping and anatomical probability maps of human occipital areas V1 and V2.
    Wohlschläger AM, Specht K, Lie C, Mohlberg H, Wohlschläger A, Bente K, Pietrzyk U, Stöcker T, Zilles K, Amunts K, Fink GR.
    Neuroimage; 2005 May 15; 26(1):73-82. PubMed ID: 15862207
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  • 8. Integration of resting-state FMRI and diffusion-weighted MRI connectivity analyses of the human brain: limitations and improvement.
    Zhu DC, Majumdar S.
    J Neuroimaging; 2014 May 15; 24(2):176-86. PubMed ID: 23279672
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  • 9. Frontal cortical regions associated with attention connect more strongly to central than peripheral V1.
    Sims SA, Demirayak P, Cedotal S, Visscher KM.
    Neuroimage; 2021 Sep 15; 238():118246. PubMed ID: 34111516
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  • 10. SPARK: Sparsity-based analysis of reliable k-hubness and overlapping network structure in brain functional connectivity.
    Lee K, Lina JM, Gotman J, Grova C.
    Neuroimage; 2016 Jul 01; 134():434-449. PubMed ID: 27046111
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  • 11. 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. PubMed ID: 23032492
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  • 12. Evaluation of hierarchical Bayesian method through retinotopic brain activities reconstruction from fMRI and MEG signals.
    Yoshioka T, Toyama K, Kawato M, Yamashita O, Nishina S, Yamagishi N, Sato MA.
    Neuroimage; 2008 Oct 01; 42(4):1397-413. PubMed ID: 18620066
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  • 13. Patterns of resting state connectivity in human primary visual cortical areas: a 7T fMRI study.
    Raemaekers M, Schellekens W, van Wezel RJ, Petridou N, Kristo G, Ramsey NF.
    Neuroimage; 2014 Jan 01; 84():911-21. PubMed ID: 24099850
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  • 14. 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. PubMed ID: 23022093
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  • 15. Estimation of the effective and functional human cortical connectivity with structural equation modeling and directed transfer function applied to high-resolution EEG.
    Astolfi L, Cincotti F, Mattia D, Salinari S, Babiloni C, Basilisco A, Rossini PM, Ding L, Ni Y, He B, Marciani MG, Babiloni F.
    Magn Reson Imaging; 2004 Dec 15; 22(10):1457-70. PubMed ID: 15707795
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  • 18. A nonlinear identification method to study effective connectivity in functional MRI.
    Li X, Marrelec G, Hess RF, Benali H.
    Med Image Anal; 2010 Feb 15; 14(1):30-8. PubMed ID: 19850507
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  • 19. Structurally-informed Bayesian functional connectivity analysis.
    Hinne M, Ambrogioni L, Janssen RJ, Heskes T, van Gerven MA.
    Neuroimage; 2014 Feb 01; 86():294-305. PubMed ID: 24121202
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  • 20. [Changes of functional connectivity network of human V5 in visual cortex: a functional MRI study].
    Zheng G, Shao X, Zhong Y, Zhou J, Zhang Z, Lu G.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2009 Feb 01; 26(1):14-7, 41. PubMed ID: 19334545
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