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Publications of G. Flandin

Articles in journal or book chapters

  1. G. Flandin and K.J. Friston. Topological Inference. In Arthur W. Toga, editor, Brain Mapping: an Encyclopedic Reference, pages 495-500. Academic Press, 2015. Keyword(s): FDR, RFT, topological. [bibtex-entry]


  2. G. Barnes, G. Ridgway, G. Flandin, M. Woolrich, and K.J. Friston. Set-level threshold-free tests on the intrinsic volumes of SPMs. NeuroImage, 68(100):133-140, 2013. Keyword(s): RFT. [bibtex-entry]


  3. 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]


  4. 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]


  5. V. Litvak, J. Mattout, S.J. Kiebel, C. Phillips, R.N.A. Henson, J. Kilner, G. Barnes, R. Oostenveld, J. Daunizeau, G. Flandin, W.D. Penny, and K.J. Friston. EEG and MEG data analysis in SPM8. Comput. Intell. Neurosci., 2011(852961), 2011. Keyword(s): introduction, EEG, MEG. [bibtex-entry]


  6. J. Chumbley, G. Flandin, M.H. Seghier, and K.J. Friston. Multinomial inference on distributed responses in SPM. NeuroImage, in press, 2010. [bibtex-entry]


  7. J. Chumbley, K.J. Worsley, G. Flandin, and K.J. Friston. Topological FDR for neuroimaging. NeuroImage, 49(4):3057-3064, 2010. Keyword(s): FDR, RFT, topological. [bibtex-entry]


  8. 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]


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


  10. K.J. Friston, L. Harrison, J. Daunizeau, S.J. Kiebel, C. Phillips, N. Trujillo-Bareto, R.N.A. Henson, G. Flandin, and J. Mattout. Multiple sparse priors for the M/EEG inverse problem. NeuroImage, 39(3):1104-1120, 2008. Keyword(s): EEG, MEG. [bibtex-entry]


  11. L. Harrison, W.D. Penny, G. Flandin, C. Ruff, N. Weiskopf, and K.J. Friston. Sparse diffusion-based spatial models for functional magnetic resonance images. NeuroImage, 2008. Keyword(s): fMRI, spatial. [bibtex-entry]


  12. 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]


  13. 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]


Conference articles

  1. C. Maumet, T.E. Nichols, N. Nichols, G. Flandin, J. Turner, K.G. Helmer, J. Steffener, J.B. Poline, S. Ghosh, and D. Keator. Extending NI-DM to share the results and provenance of a neuroimaging study: an example with SPM. In 20th Annual Meeting of the Organization for Human Brain Mapping, 2014. [bibtex-entry]


  2. W.D. Penny and G. Flandin. Bayesian analysis of fMRI data with spatial priors. In Proceedings of the Joint Statistical Meeting (JSM), Section on Statistical Graphics [CDROM], 2005. Note: Alexandria, VA: American Statistical Association. Keyword(s): PPM, Bayesian, 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. W.D. Penny and G. Flandin. Bayesian analysis of single-subject fMRI: SPM implementation. Technical report, Wellcome Department of Imaging Neuroscience, 2005. Keyword(s): PPM, Bayesian, fMRI. [bibtex-entry]



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