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Publications about 'parametric'

Books and proceedings

  1. K.J. Friston, J. Ashburner, S.J. Kiebel, T.E. Nichols, and W.D. Penny, editors. Statistical Parametric Mapping: The Analysis of Functional Brain Images. Academic Press, 2007. Keyword(s): introduction. [bibtex-entry]


Articles in journal or book chapters

  1. G. Ridgway, V. Litvak, G. Flandin, K.J. Friston, and W.D. Penny. The problem of low variance voxels in statistical parametric mapping; a new hat avoids a 'haircut'. NeuroImage, 59(3):2131-2141, 2012. Keyword(s): EEG, MEG. [bibtex-entry]


  2. R.N.A. Henson, D.G. Wakeman, V. Litvak, and K.J. Friston. A parametric empirical Bayesian framework for the EEG/MEG inverse problem: generative models for multi-subject and multi-modal integration. Frontiers in Human Neuroscience, 5(76), 2011. Keyword(s): EEG, MEG, Bayesian. [bibtex-entry]


  3. R.N.A. Henson, G. Flandin, K.J. Friston, and J. Mattout. A Parametric Empirical Bayesian framework for fMRI-constrained MEG/EEG source reconstruction. Human Brain Mapping, 31(10):1512-1531, 2010. [bibtex-entry]


  4. G. Flandin and K.J. Friston. Statistical Parametric Mapping. Scholarpedia, 3(4):6232, 2008. Keyword(s): fMRI, introduction. [bibtex-entry]


  5. 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]


  6. 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]


  7. 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]


  8. 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]


  9. 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]


  10. C. Buchel, A.P. Holmes, G. Rees, and K.J. Friston. Characterizing stimulus-response functions using nonlinear regressors in parametric fMRI experiments. NeuroImage, 8:140-148, 1998. Keyword(s): nonlinear, parametric, fMRI. [bibtex-entry]


  11. S.J. Kiebel, J. Ashburner, J.B. Poline, and K.J. Friston. MRI and PET Coregistration - A Cross Validation of Statistical Parametric Mapping and Automated Image Registration. NeuroImage, 5:271-279, 1997. Keyword(s): PET, MRI, registration. [bibtex-entry]


  12. K.J. Friston. Statistical Parametric Mapping and Other Analysis of Functional Imaging Data. In Brain Mapping: The Methods, pages 363-385. Academic Press, 1996. [bibtex-entry]


  13. C. Buchel, R.J.S. Wise, C.J. Mummery, J.B. Poline, and K.J. Friston. Nonlinear regression in parametric activation studies. NeuroImage, 4:60-66, 1996. Keyword(s): nonlinear, parametric, PET. [bibtex-entry]


  14. A.P. Holmes, R. C. Blair, J.D.G. Watson, and I. Ford. Non-Parametric Analysis of Statistic Images From Functional Mapping Experiments. Journal of Cerebral Blood Flow and Metabolism, 16:7-22, 1996. Keyword(s): nonparametric, PET. [bibtex-entry]


  15. K.J. Friston. Statistical Parametric Mapping: Ontology and Current Issues. Journal of Cerebral Blood Flow and Metabolism, 15:361-370, 1995. Keyword(s): introduction, design. [bibtex-entry]


  16. 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]


  17. J.B. Poline, K.J. Friston, K.J. Worsley, and R.S.J. Frackowiak. Estimating Smoothness in Statistical Parametric Maps: Confidence Intervals on p-Values. Journal of Computer Assisted Tomography, 19(5):788-796, 1995. Keyword(s): smoothness, RFT. [bibtex-entry]


  18. C.J. Price, R. Wise, S. Ramsay, K.J. Friston, D. Howard, K. Patterson, and R.S.J. Frackowiak. Regional response differences withing the human auditory cortex when listening to words. Neuroscience Letters, 11:179-182, 1992. Keyword(s): parametric, fMRI. [bibtex-entry]


Internal reports

  1. G. Flandin and K.J. Friston. Analysis of family-wise error rates in statistical parametric mapping using random field theory. Technical report, Wellcome Trust Centre for Neuroimaging, 2016. Keyword(s): RFT. [bibtex-entry]


  2. K.J. Friston. A short history of statistical parametric mapping in functional neuroimaging. Technical report, Wellcome Department of Imaging Neuroscience, ION, UCL, 2002. Keyword(s): introduction. [bibtex-entry]


  3. W.D. Penny. Statistical Parametric Mapping: an annotated bibliography. Technical report, Wellcome Department of Imaging Neuroscience, ION, UCL, 2001. Keyword(s): introduction. [bibtex-entry]



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