These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

179 related articles for article (PubMed ID: 17990301)

  • 1. Discrete dynamic Bayesian network analysis of fMRI data.
    Burge J; Lane T; Link H; Qiu S; Clark VP
    Hum Brain Mapp; 2009 Jan; 30(1):122-37. PubMed ID: 17990301
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A wavelet-based statistical analysis of FMRI data: I. motivation and data distribution modeling.
    Dinov ID; Boscardin JW; Mega MS; Sowell EL; Toga AW
    Neuroinformatics; 2005; 3(4):319-42. PubMed ID: 16284415
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Model-free group analysis shows altered BOLD FMRI networks in dementia.
    Rombouts SA; Damoiseaux JS; Goekoop R; Barkhof F; Scheltens P; Smith SM; Beckmann CF
    Hum Brain Mapp; 2009 Jan; 30(1):256-66. PubMed ID: 18041738
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Characterizing the modulation of resting-state fMRI metrics by baseline physiology.
    Chu PPW; Golestani AM; Kwinta JB; Khatamian YB; Chen JJ
    Neuroimage; 2018 Jun; 173():72-87. PubMed ID: 29452265
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Network discovery with DCM.
    Friston KJ; Li B; Daunizeau J; Stephan KE
    Neuroimage; 2011 Jun; 56(3):1202-21. PubMed ID: 21182971
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Integrated local correlation: a new measure of local coherence in fMRI data.
    Deshpande G; LaConte S; Peltier S; Hu X
    Hum Brain Mapp; 2009 Jan; 30(1):13-23. PubMed ID: 17979117
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Bayesian framework for global tractography.
    Jbabdi S; Woolrich MW; Andersson JL; Behrens TE
    Neuroimage; 2007 Aug; 37(1):116-29. PubMed ID: 17543543
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Probing neuronal activation by functional quantitative susceptibility mapping under a visual paradigm: A group level comparison with BOLD fMRI and PET.
    Özbay PS; Warnock G; Rossi C; Kuhn F; Akin B; Pruessmann KP; Nanz D
    Neuroimage; 2016 Aug; 137():52-60. PubMed ID: 27155125
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Gaussian process classification of Alzheimer's disease and mild cognitive impairment from resting-state fMRI.
    Challis E; Hurley P; Serra L; Bozzali M; Oliver S; Cercignani M
    Neuroimage; 2015 May; 112():232-243. PubMed ID: 25731993
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The dynamic programming high-order Dynamic Bayesian Networks learning for identifying effective connectivity in human brain from fMRI.
    Dang S; Chaudhury S; Lall B; Roy PK
    J Neurosci Methods; 2017 Jun; 285():33-44. PubMed ID: 28495368
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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
    Neuroimage; 2014 Aug; 96():117-32. PubMed ID: 24705202
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The impact of temporal regularization on estimates of the BOLD hemodynamic response function: a comparative analysis.
    Casanova R; Ryali S; Serences J; Yang L; Kraft R; Laurienti PJ; Maldjian JA
    Neuroimage; 2008 May; 40(4):1606-18. PubMed ID: 18329292
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Exploring predictive and reproducible modeling with the single-subject FIAC dataset.
    Chen X; Pereira F; Lee W; Strother S; Mitchell T
    Hum Brain Mapp; 2006 May; 27(5):452-61. PubMed ID: 16565951
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Determining hierarchical functional networks from auditory stimuli fMRI.
    Patel RS; Bowman FD; Rilling JK
    Hum Brain Mapp; 2006 May; 27(5):462-70. PubMed ID: 16568419
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Two pitfalls of BOLD fMRI magnitude-based neuroimage analysis: non-negativity and edge effect.
    Chen Z; Calhoun VD
    J Neurosci Methods; 2011 Aug; 199(2):363-9. PubMed ID: 21640135
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identification of large-scale networks in the brain using fMRI.
    Bellec P; Perlbarg V; Jbabdi S; Pélégrini-Issac M; Anton JL; Doyon J; Benali H
    Neuroimage; 2006 Feb; 29(4):1231-43. PubMed ID: 16246590
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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
    Med Image Anal; 2013 Apr; 17(3):365-74. PubMed ID: 23422254
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Variability and reliability of effective connectivity within the core default mode network: A multi-site longitudinal spectral DCM study.
    Almgren H; Van de Steen F; Kühn S; Razi A; Friston K; Marinazzo D
    Neuroimage; 2018 Dec; 183():757-768. PubMed ID: 30165254
    [TBL] [Abstract][Full Text] [Related]  

  • 20. How to improve parameter estimates in GLM-based fMRI data analysis: cross-validated Bayesian model averaging.
    Soch J; Meyer AP; Haynes JD; Allefeld C
    Neuroimage; 2017 Sep; 158():186-195. PubMed ID: 28669903
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.