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 *

210 related articles for article (PubMed ID: 15110015)

  • 1. fMRI analysis with the general linear model: removal of latency-induced amplitude bias by incorporation of hemodynamic derivative terms.
    Calhoun VD; Stevens MC; Pearlson GD; Kiehl KA
    Neuroimage; 2004 May; 22(1):252-7. PubMed ID: 15110015
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Detecting fMRI activation allowing for unknown latency of the hemodynamic response.
    Worsley KJ; Taylor JE
    Neuroimage; 2006 Jan; 29(2):649-54. PubMed ID: 16125978
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Characterizing the hemodynamic response: effects of presentation rate, sampling procedure, and the possibility of ordering brain activity based on relative timing.
    Miezin FM; Maccotta L; Ollinger JM; Petersen SE; Buckner RL
    Neuroimage; 2000 Jun; 11(6 Pt 1):735-59. PubMed ID: 10860799
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Independent vector analysis (IVA): multivariate approach for fMRI group study.
    Lee JH; Lee TW; Jolesz FA; Yoo SS
    Neuroimage; 2008 Mar; 40(1):86-109. PubMed ID: 18165105
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A general statistical analysis for fMRI data.
    Worsley KJ; Liao CH; Aston J; Petre V; Duncan GH; Morales F; Evans AC
    Neuroimage; 2002 Jan; 15(1):1-15. PubMed ID: 11771969
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Complex-number representation of informed basis functions in general linear modeling of Functional Magnetic Resonance Imaging.
    Wang P; Wang Z; He L
    J Neurosci Methods; 2012 Mar; 205(1):28-35. PubMed ID: 22227535
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Single subject image analysis using the complex general linear model--an application to functional magnetic resonance imaging with multiple inputs.
    Rio DE; Rawlings RR; Woltz LA; Salloum JB; Hommer DW
    Comput Methods Programs Biomed; 2006 Apr; 82(1):10-9. PubMed ID: 16530880
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Temporally shifted hemodynamic response model helps to extract acupuncture-induced functional magnetic resonance imaging blood oxygenation-level dependent activities.
    Ho TJ; Duann JR; Chen CM; Chen JH; Shen WC; Lu TW; Liao JR; Lin ZP; Shaw KN; Lin JG
    Chin Med J (Engl); 2009 Apr; 122(7):823-9. PubMed ID: 19493397
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Analysis of functional MRI data based on an estimation of the hemodynamic response in the human brain.
    Lee SK; Yoon HW; Chung JY; Song MS; Park H
    J Neurosci Methods; 2004 Oct; 139(1):91-8. PubMed ID: 15351525
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Using nonlinear models in fMRI data analysis: model selection and activation detection.
    Deneux T; Faugeras O
    Neuroimage; 2006 Oct; 32(4):1669-89. PubMed ID: 16844388
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A comparative study of one-level and two-level semiparametric estimation of hemodynamic response function for fMRI data.
    Zhang CM; Jiang Y; Yu T
    Stat Med; 2007 Sep; 26(21):3845-61. PubMed ID: 17551932
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A dynamic system model-based technique for functional MRI data analysis.
    Kamba M; Sung YW; Ogawa S
    Neuroimage; 2004 May; 22(1):179-87. PubMed ID: 15110008
    [TBL] [Abstract][Full Text] [Related]  

  • 13. General multilevel linear modeling for group analysis in FMRI.
    Beckmann CF; Jenkinson M; Smith SM
    Neuroimage; 2003 Oct; 20(2):1052-63. PubMed ID: 14568475
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Cortical and subcortical correlates of electroencephalographic alpha rhythm modulation.
    Feige B; Scheffler K; Esposito F; Di Salle F; Hennig J; Seifritz E
    J Neurophysiol; 2005 May; 93(5):2864-72. PubMed ID: 15601739
    [TBL] [Abstract][Full Text] [Related]  

  • 15. fMRI activation maps based on the NN-ARx model.
    Riera J; Bosch J; Yamashita O; Kawashima R; Sadato N; Okada T; Ozaki T
    Neuroimage; 2004 Oct; 23(2):680-97. PubMed ID: 15488418
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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; 22(10):1457-70. PubMed ID: 15707795
    [TBL] [Abstract][Full Text] [Related]  

  • 17. To smooth or not to smooth? Bias and efficiency in fMRI time-series analysis.
    Friston KJ; Josephs O; Zarahn E; Holmes AP; Rouquette S; Poline J
    Neuroimage; 2000 Aug; 12(2):196-208. PubMed ID: 10913325
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Increased sensitivity in mapping task demand in visuospatial processing using reaction-time-dependent hemodynamic response predictors in rapid event-related fMRI.
    Lehmann C; Vannini P; Wahlund LO; Almkvist O; Dierks T
    Neuroimage; 2006 Jun; 31(2):505-12. PubMed ID: 16564707
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Hidden Markov event sequence models: toward unsupervised functional MRI brain mapping.
    Faisan S; Thoraval L; Armspach JP; Foucher JR; Metz-Lutz MN; Heitz F
    Acad Radiol; 2005 Jan; 12(1):25-36. PubMed ID: 15691723
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Model-free analysis of brain fMRI data by recurrence quantification.
    Bianciardi M; Sirabella P; Hagberg GE; Giuliani A; Zbilut JP; Colosimo A
    Neuroimage; 2007 Aug; 37(2):489-503. PubMed ID: 17600730
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.