BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

168 related articles for article (PubMed ID: 20060050)

  • 21. Functional MRI and multivariate autoregressive models.
    Rogers BP; Katwal SB; Morgan VL; Asplund CL; Gore JC
    Magn Reson Imaging; 2010 Oct; 28(8):1058-65. PubMed ID: 20444566
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Mapping the connectivity with structural equation modeling in an fMRI study of shape-from-motion task.
    Zhuang J; Peltier S; He S; LaConte S; Hu X
    Neuroimage; 2008 Aug; 42(2):799-806. PubMed ID: 18599316
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Dynamic Granger-Geweke causality modeling with application to interictal spike propagation.
    Lin FH; Hara K; Solo V; Vangel M; Belliveau JW; Stufflebeam SM; Hämäläinen MS
    Hum Brain Mapp; 2009 Jun; 30(6):1877-86. PubMed ID: 19378280
    [TBL] [Abstract][Full Text] [Related]  

  • 24. GMAC: a Matlab toolbox for spectral Granger causality analysis of fMRI data.
    Tana MG; Sclocco R; Bianchi AM
    Comput Biol Med; 2012 Oct; 42(10):943-56. PubMed ID: 22925560
    [TBL] [Abstract][Full Text] [Related]  

  • 25. An improvement on local FDR analysis applied to functional MRI data.
    Lee N; Kim AY; Park CH; Kim SH
    J Neurosci Methods; 2016 Jul; 267():115-25. PubMed ID: 27102044
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Identification of whole-brain network modules based on a large scale Granger Causality approach.
    Pester B; Schmidt C; Schmid-Hertel N; Witte H; Wismueller A; Leistritz L
    Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():5380-3. PubMed ID: 26737507
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Unsupervised learning and mapping of active brain functional MRI signals based on hidden semi-Markov event sequence models.
    Faisan S; Thoraval L; Armspach JP; Metz-Lutz MN; Heitz F
    IEEE Trans Med Imaging; 2005 Feb; 24(2):263-76. PubMed ID: 15707252
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Increasing fMRI sampling rate improves Granger causality estimates.
    Lin FH; Ahveninen J; Raij T; Witzel T; Chu YH; Jääskeläinen IP; Tsai KW; Kuo WJ; Belliveau JW
    PLoS One; 2014; 9(6):e100319. PubMed ID: 24968356
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A connectivity-based method for defining regions-of-interest in fMRI data.
    Deleus F; Van Hulle MM
    IEEE Trans Image Process; 2009 Aug; 18(8):1760-71. PubMed ID: 19414287
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Learning effective connectivity from fMRI using autoregressive hidden Markov model with missing data.
    Dang S; Chaudhury S; Lall B; Roy PK
    J Neurosci Methods; 2017 Feb; 278():87-100. PubMed ID: 28065836
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Probabilistic framework for brain connectivity from functional MR images.
    Rajapakse JC; Wang Y; Zheng X; Zhou J
    IEEE Trans Med Imaging; 2008 Jun; 27(6):825-33. PubMed ID: 18541489
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Mapping directed influence over the brain using Granger causality and fMRI.
    Roebroeck A; Formisano E; Goebel R
    Neuroimage; 2005 Mar; 25(1):230-42. PubMed ID: 15734358
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Inferring consistent functional interaction patterns from natural stimulus FMRI data.
    Sun J; Hu X; Huang X; Liu Y; Li K; Li X; Han J; Guo L; Liu T; Zhang J
    Neuroimage; 2012 Jul; 61(4):987-99. PubMed ID: 22440644
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Nonlinear estimation and modeling of fMRI data using spatio-temporal support vector regression.
    Wang YM; Schultz RT; Constable RT; Staib LH
    Inf Process Med Imaging; 2003 Jul; 18():647-59. PubMed ID: 15344495
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Fiber-centered Granger causality analysis.
    Li X; Li K; Guo L; Lim C; Liu T
    Med Image Comput Comput Assist Interv; 2011; 14(Pt 2):251-9. PubMed ID: 21995036
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Time-frequency dynamics of resting-state brain connectivity measured with fMRI.
    Chang C; Glover GH
    Neuroimage; 2010 Mar; 50(1):81-98. PubMed ID: 20006716
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Nonlinear connectivity by Granger causality.
    Marinazzo D; Liao W; Chen H; Stramaglia S
    Neuroimage; 2011 Sep; 58(2):330-8. PubMed ID: 20132895
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Using partial correlation to enhance structural equation modeling of functional MRI data.
    Marrelec G; Horwitz B; Kim J; Pélégrini-Issac M; Benali H; Doyon J
    Magn Reson Imaging; 2007 Oct; 25(8):1181-9. PubMed ID: 17475433
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Multivariate Granger causality: an estimation framework based on factorization of the spectral density matrix.
    Wen X; Rangarajan G; Ding M
    Philos Trans A Math Phys Eng Sci; 2013 Aug; 371(1997):20110610. PubMed ID: 23858479
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Modulatory effects of acupuncture on resting-state networks: a functional MRI study combining independent component analysis and multivariate Granger causality analysis.
    Zhong C; Bai L; Dai R; Xue T; Wang H; Feng Y; Liu Z; You Y; Chen S; Tian J
    J Magn Reson Imaging; 2012 Mar; 35(3):572-81. PubMed ID: 22069078
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.