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Publications about 'GLM'

Thesis

  1. A.P. Holmes. Statistical Issues in Functional Brain Mapping. PhD thesis, University of Glasgow, December 1994. Keyword(s): RFT, PET, GLM. [bibtex-entry]


Articles in journal or book chapters

  1. V. Litvak, Ashwani Jha, G. Flandin, and K.J. Friston. Convolution models for induced electromagnetic responses. NeuroImage, 64:388-398, 2013. Keyword(s): EEG, MEG, GLM. [bibtex-entry]


  2. G. Flandin and W.D. Penny. Bayesian fMRI data analysis with sparse spatial basis function priors. NeuroImage, 34(3):1108-1125, 2007. Keyword(s): PPM, Bayesian, fMRI, GLM, spatial, hierarchical. [bibtex-entry]


  3. L. Harrison, W.D. Penny, J. Ashburner, N. Trujillo-Bareto, and K.J. Friston. Diffusion-based spatial priors for imaging. NeuroImage, 38:677-695, 2007. Keyword(s): fMRI, GLM, spatial. [bibtex-entry]


  4. W.D. Penny, J. Kilner, and F. Blankenburg. Robust Bayesian General Linear Models. NeuroImage, 36(3):661-671, 2007. Keyword(s): GLM. [bibtex-entry]


  5. K.J. Friston, K.E. Stephan, T.E. Lund, A. Morcom, and S.J. Kiebel. Mixed-effects and fMRI studies. NeuroImage, 24:244-252, 2005. Keyword(s): fMRI, GLM. [bibtex-entry]


  6. L. Harrison, O. David, and K.J. Friston. Stochastic models of neuronal dynamics. NeuroImage, 360:1075-1091, 2005. Keyword(s): fMRI, GLM, spatial. [bibtex-entry]


  7. S.J. Kiebel, C. Tallon-Baudry, and K.J. Friston. Parametric analysis of oscillatory activity as measured with EEG/MEG. Human Brain Mapping, 26(3):170-177, 2005. Keyword(s): EEG, GLM, ERP, MEG. [bibtex-entry]


  8. W.D. Penny, G. Flandin, and N. Trujillo-Bareto. Bayesian Comparison of Spatially Regularised General Linear Models. Human Brain Mapping, 28:275-293, 2005. Keyword(s): Bayesian, fMRI, PPM, GLM. [bibtex-entry]


  9. S.J. Kiebel and K.J. Friston. Statistical Parametric Mapping for Event-Related Potentials I: Generic Considerations. NeuroImage, 22(2):492-502, 2004. Keyword(s): EEG, GLM, ERP, MEG. [bibtex-entry]


  10. S.J. Kiebel and K.J. Friston. Statistical Parametric Mapping for Event-Related Potentials II: A Hierarchical Temporal Model. NeuroImage, 22(2):503-520, 2004. Keyword(s): EEG, GLM, ERP, MEG. [bibtex-entry]


  11. K.J. Friston. Introduction: Experimental design and statistical parametric mapping. In R.S.J. Frackowiak, K.J. Friston, C. Frith, R. Dolan, K.J. Friston, C.J. Price, S. Zeki, J. Ashburner, and W.D. Penny, editors, Human Brain Function. Academic Press, 2nd edition, 2003. Keyword(s): GLM, introduction. [bibtex-entry]


  12. R.N.A. Henson. Analysis of fMRI time series. In R.S.J. Frackowiak, K.J. Friston, C. Frith, R. Dolan, K.J. Friston, C.J. Price, S. Zeki, J. Ashburner, and W.D. Penny, editors, Human Brain Function. Academic Press, 2nd edition, 2003. Keyword(s): GLM, introduction, contrasts. [bibtex-entry]


  13. W.D. Penny, A.P. Holmes, and K.J. Friston. Hierarchical Models. In R.S.J. Frackowiak, K.J. Friston, C. Frith, R. Dolan, K.J. Friston, C.J. Price, S. Zeki, J. Ashburner, and W.D. Penny, editors, Human Brain Function. Academic Press, 2nd edition, 2003. Keyword(s): Bayesian, GLM, group, introduction, RFX, hierarchical. [bibtex-entry]


  14. J.B. Poline. Contrasts and classical inference. In R.S.J. Frackowiak, K.J. Friston, C. Frith, R. Dolan, K.J. Friston, C.J. Price, S. Zeki, J. Ashburner, and W.D. Penny, editors, Human Brain Function. Academic Press, 2nd edition, 2003. Keyword(s): GLM, introduction, contrasts. [bibtex-entry]


  15. W.L. Luo and T.E. Nichols. Diagnosis and Exploration of Massively Univariate Neuroimaging Models. NeuroImage, 19:1014-1032, 2003. Keyword(s): GLM. [bibtex-entry]


  16. W.D. Penny and K.J. Friston. Mixtures of General Linear Models for Functional Neuroimaging. IEEE Transactions on Medical Imaging, 22(4):504-514, 2003. Keyword(s): Mixture, GLM, Bayesian, fMRI, spatial, EM. [bibtex-entry]


  17. K.J. Friston. Experimental Design and Statistical Issues. In Brain Mapping: The Disorders, pages 33-58. Academic Press, 2000. Keyword(s): design, GLM. [bibtex-entry]


  18. S.J. Kiebel, J.B. Poline, K.J. Friston, A.P. Holmes, and K.J. Worsley. Robust Smoothness Estimation in Statistical Parametric Maps Using Standardized Residuals from the General Linear Model. NeuroImage, 10:756-766, 1999. Keyword(s): smoothness, RFT, GLM. [bibtex-entry]


  19. A.P. Holmes, J.B. Poline, and K.J. Friston. Characterizing brain images with the general linear model. In R.S.J. Frackowiak, K.J. Friston, C. Frith, R. Dolan, and J.C. Mazziotta, editors, Human Brain Function, pages 59-84. Academic Press USA, 1997. Keyword(s): GLM, introduction, PET, fMRI. [bibtex-entry]


  20. J.B. Poline, A.P. Holmes, K.J. Worsley, and K.J. Friston. Making statistical inferences. In R.S.J. Frackowiak, K.J. Friston, C. Frith, R. Dolan, and J.C. Mazziotta, editors, Human Brain Function, pages 85-106. Academic Press USA, 1997. Keyword(s): RFT, GLM, introduction. [bibtex-entry]


  21. K.J. Friston, A.P. Holmes, K.J. Worsley, J.B. Poline, C. Frith, and R.S.J. Frackowiak. Statistical Parametric Maps in Functional Imaging: A General Linear Approach. Human Brain Mapping, 2:189-210, 1995. Keyword(s): GLM, RFT. [bibtex-entry]



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