Mark Woolrich

Summary

Affiliation: University of Oxford
Country: UK

Publications

  1. doi request reprint Bayesian inference in FMRI
    Mark W Woolrich
    Oxford Centre for Human Brain Activity, University of Oxford, Oxford, UK
    Neuroimage 62:801-10. 2012
  2. doi request reprint MEG beamforming using Bayesian PCA for adaptive data covariance matrix regularization
    Mark Woolrich
    OHBA Oxford Centre for Human Brain Activity, University of Oxford, Oxford, UK
    Neuroimage 57:1466-79. 2011
  3. doi request reprint Bayesian analysis of neuroimaging data in FSL
    Mark W Woolrich
    University of Oxford Centre for Functional MRI of the Brain, UK
    Neuroimage 45:S173-86. 2009
  4. ncbi request reprint Fully Bayesian spatio-temporal modeling of FMRI data
    Mark W Woolrich
    Oxford Centre for Functional Magnetic Resonance Imaging of the Brain, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK
    IEEE Trans Med Imaging 23:213-31. 2004
  5. doi request reprint Robust group analysis using outlier inference
    Mark Woolrich
    Oxford Centre for Functional Magnetic Resonance Imaging of the Brain, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK
    Neuroimage 41:286-301. 2008
  6. ncbi request reprint Variational Bayes inference of spatial mixture models for segmentation
    Mark W Woolrich
    Oxford Centre for Functional Magnetic Resonance Imaging of the Brain FMRIB, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK
    IEEE Trans Med Imaging 25:1380-91. 2006
  7. ncbi request reprint Bayesian inference of hemodynamic changes in functional arterial spin labeling data
    Mark W Woolrich
    University of Oxford, Centre for Functional MRI of the Brain, John Radcliffe Hospital, Oxford, United Kingdom
    Magn Reson Med 56:891-906. 2006
  8. ncbi request reprint Mixture models with adaptive spatial regularization for segmentation with an application to FMRI data
    Mark W Woolrich
    Oxford Centre for Functional Magnetic Resonance Imaging of the Brain, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK
    IEEE Trans Med Imaging 24:1-11. 2005
  9. ncbi request reprint Multilevel linear modelling for FMRI group analysis using Bayesian inference
    Mark W Woolrich
    Oxford Centre for Functional Magnetic Resonance Imaging of the Brain, John Radcliffe Hospital, University of Oxford, Oxford OX3 9DU, UK
    Neuroimage 21:1732-47. 2004
  10. ncbi request reprint Constrained linear basis sets for HRF modelling using Variational Bayes
    Mark W Woolrich
    Oxford Centre for Functional Magnetic Resonance Imaging of the Brain, University of Oxford, John Radcliffe Hospital, Headington, Oxford OX3 9DU, UK
    Neuroimage 21:1748-61. 2004

Detail Information

Publications26

  1. doi request reprint Bayesian inference in FMRI
    Mark W Woolrich
    Oxford Centre for Human Brain Activity, University of Oxford, Oxford, UK
    Neuroimage 62:801-10. 2012
    ..But perhaps more important than these things, is the ability of Bayes to empower the methods researcher with a mathematically principled framework for inferring on any model...
  2. doi request reprint MEG beamforming using Bayesian PCA for adaptive data covariance matrix regularization
    Mark Woolrich
    OHBA Oxford Centre for Human Brain Activity, University of Oxford, Oxford, UK
    Neuroimage 57:1466-79. 2011
    ..We apply the approach to simulated and real MEG data, and demonstrate the way in which it can automatically adapt the regularization to give good performance over a range of noise and signal levels...
  3. doi request reprint Bayesian analysis of neuroimaging data in FSL
    Mark W Woolrich
    University of Oxford Centre for Functional MRI of the Brain, UK
    Neuroimage 45:S173-86. 2009
    ..Finally, we mention some analysis scenarios where Bayesian methods are impractical, and briefly discuss some practical approaches that we have taken in these cases...
  4. ncbi request reprint Fully Bayesian spatio-temporal modeling of FMRI data
    Mark W Woolrich
    Oxford Centre for Functional Magnetic Resonance Imaging of the Brain, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK
    IEEE Trans Med Imaging 23:213-31. 2004
    ....
  5. doi request reprint Robust group analysis using outlier inference
    Mark Woolrich
    Oxford Centre for Functional Magnetic Resonance Imaging of the Brain, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK
    Neuroimage 41:286-301. 2008
    ..The performance of the method is demonstrated on simulated and fMRI data and is compared with iterative reweighted least squares and permutation testing...
  6. ncbi request reprint Variational Bayes inference of spatial mixture models for segmentation
    Mark W Woolrich
    Oxford Centre for Functional Magnetic Resonance Imaging of the Brain FMRIB, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK
    IEEE Trans Med Imaging 25:1380-91. 2006
    ..We examine the behavior of this approach when applied to artificial data with different spatial characteristics, and to functional magnetic resonance imaging statistical parametric maps...
  7. ncbi request reprint Bayesian inference of hemodynamic changes in functional arterial spin labeling data
    Mark W Woolrich
    University of Oxford, Centre for Functional MRI of the Brain, John Radcliffe Hospital, Oxford, United Kingdom
    Magn Reson Med 56:891-906. 2006
    ..We also consider how the static magnetization, M, might be related to changes in CBV by assuming the same mechanism for water exchange as in vascular space occupancy...
  8. ncbi request reprint Mixture models with adaptive spatial regularization for segmentation with an application to FMRI data
    Mark W Woolrich
    Oxford Centre for Functional Magnetic Resonance Imaging of the Brain, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK
    IEEE Trans Med Imaging 24:1-11. 2005
    ..We examine the behavior of this model when applied to artificial data with different spatial characteristics, and to functional magnetic resonance imaging SPMs...
  9. ncbi request reprint Multilevel linear modelling for FMRI group analysis using Bayesian inference
    Mark W Woolrich
    Oxford Centre for Functional Magnetic Resonance Imaging of the Brain, John Radcliffe Hospital, University of Oxford, Oxford OX3 9DU, UK
    Neuroimage 21:1732-47. 2004
    ..We also demonstrate that we can infer on the top level of multilevel hierarchies by inferring on the levels of the hierarchy separately and passing summary statistics of a noncentral multivariate t distribution between them...
  10. ncbi request reprint Constrained linear basis sets for HRF modelling using Variational Bayes
    Mark W Woolrich
    Oxford Centre for Functional Magnetic Resonance Imaging of the Brain, University of Oxford, John Radcliffe Hospital, Headington, Oxford OX3 9DU, UK
    Neuroimage 21:1748-61. 2004
    ..We use spatial mixture modelling to produce final probabilities of activation and demonstrate increased sensitivity on an FMRI dataset...
  11. doi request reprint Bayesian deconvolution of [corrected] fMRI data using bilinear dynamical systems
    Salima Makni
    Oxford Centre for Functional Magnetic Resonance Imaging of the Brain, Department of Clinical Neurology, University of Oxford, John Radcliffe Hospital, Headley Way, Headington, Oxford, UK
    Neuroimage 42:1381-96. 2008
    ..We finally demonstrate its use on real fMRI data in one slice of the brain...
  12. pmc Evidence for a vascular contribution to diffusion FMRI at high b value
    Karla L Miller
    Centre for Functional MRI of the Brain FMRIB, Oxford Centre for Clinical Magnetic Resonance OCMR, and Department of Experimental Psychology, University of Oxford, Oxford, Oxon OX3 9DU, United Kingdom
    Proc Natl Acad Sci U S A 104:20967-72. 2007
    ..These results suggest that a large component of the diffusion FMRI signal at high b value is vascular rather than neuronal...
  13. doi request reprint Network modelling methods for FMRI
    Stephen M Smith
    FMRIB Oxford University Centre for Functional MRI of the Brain, Department of Clinical Neurology, University of Oxford, Oxford, UK
    Neuroimage 54:875-91. 2011
    ....
  14. doi request reprint A general framework for the analysis of vessel encoded arterial spin labeling for vascular territory mapping
    Michael A Chappell
    Oxford Centre for Functional MRI of the Brain, University of Oxford, John Radcliffe Hospital, Headington, Oxford, United Kingdom
    Magn Reson Med 64:1529-39. 2010
    ..Similar performance was found for data acquired using a pseudo-continuous labeling scheme both in the neck and above the Circle of Willis...
  15. doi request reprint Separation of macrovascular signal in multi-inversion time arterial spin labelling MRI
    Michael A Chappell
    Centre for Functional MRI of the Brain, University of Oxford, John Radcliffe Hospital, Headington, Oxford, UK
    Magn Reson Med 63:1357-65. 2010
    ....
  16. doi request reprint Linked independent component analysis for multimodal data fusion
    Adrian R Groves
    FMRIB Oxford University Centre for Functional MRI of the Brain, Department Clinical Neurology, University of Oxford, Oxford, UK
    Neuroimage 54:2198-217. 2011
    ....
  17. ncbi request reprint Vascular territory image analysis using vessel encoded arterial spin labeling
    Michael A Chappell
    Oxford Centre for Functional MRI of the Brain, University of Oxford, John Radcliffe Hospital, Headington, Oxford, OX4 3HD, UK
    Med Image Comput Comput Assist Interv 12:514-21. 2009
    ..In simulation and on real data the method is shown to reliably determine vascular territories in the brain, including the case where the number of vessels exceeds the number of independent measurements...
  18. doi request reprint Assessment of arterial arrival times derived from multiple inversion time pulsed arterial spin labeling MRI
    Bradley J MacIntosh
    FMRIB Centre, Department of Clinical Neurology, University of Oxford, John Radcliffe Hospital, Oxford, UK
    Magn Reson Med 63:641-7. 2010
    ..Pulsed arterial spin labeling signals were simulated using an identical sampling scheme as the empiric study and revealed AAT can be estimated robustly when simulated arrival times are well beyond the normal range...
  19. doi request reprint How green is the grass on the other side? Frontopolar cortex and the evidence in favor of alternative courses of action
    Erie D Boorman
    Centre for Functional MRI of the Brain, University of Oxford, Oxford 0X3 9DU, UK
    Neuron 62:733-43. 2009
    ..Collectively, these findings reveal complementary prefrontal computations essential for promoting short- and long-term behavioral flexibility...
  20. doi request reprint Combined spatial and non-spatial prior for inference on MRI time-series
    Adrian R Groves
    FMRIB Centre, Department of Clinical Neurology, John Radcliffe Hospital, Oxford, UK
    Neuroimage 45:795-809. 2009
    ..By combining both types of prior information, this new prior performs consistently well across a wider range of situations than either prior alone, and provides better estimates when both types of prior information are relevant...
  21. pmc Associative learning of social value
    Timothy E J Behrens
    FMRIB Centre, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK
    Nature 456:245-9. 2008
    ..These findings suggest that human social valuation can be realized by means of the same associative processes previously established for learning other, simpler, features of the environment...
  22. ncbi request reprint Advances in functional and structural MR image analysis and implementation as FSL
    Stephen M Smith
    Oxford Centre for Functional Magnetic Resonance Imaging of the Brain FMRIB, Department of Clinical Neurology, John Radcliffe Hospital, Oxford University, Headington, Oxford OX3 9DU, UK
    Neuroimage 23:S208-19. 2004
    ..The majority of the research laid out in this paper has been implemented as freely available software tools within FMRIB's Software Library (FSL)...
  23. ncbi request reprint Learning the value of information in an uncertain world
    Timothy E J Behrens
    FMRIB Centre, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK
    Nat Neurosci 10:1214-21. 2007
    ..Furthermore, variations in this ACC signal across the population predict variations in subject learning rates. Our results provide a formal account of how we weigh our different experiences in guiding our future actions...
  24. ncbi request reprint Variability in fMRI: a re-examination of inter-session differences
    Stephen M Smith
    Oxford Centre for Functional Magnetic Resonance Imaging of the Brain FMRIB, Department of Clinical Neurology, Oxford University, John Radcliffe Hospital, Headington, Oxford, United Kingdom
    Hum Brain Mapp 24:248-57. 2005
    ..Finally, we show that the use of different first-level preprocessing, time-series statistics, and registration analysis methodologies can give significantly different inter-session analysis results...
  25. pmc Applying FSL to the FIAC data: model-based and model-free analysis of voice and sentence repetition priming
    Christian F Beckmann
    Oxford Centre for Functional Magnetic Resonance Imaging of the Brain FMRIB, University of Oxford, Oxford, UK
    Hum Brain Mapp 27:380-91. 2006
    ..These results suggest that both are processed in a single underlying system without any significant asymmetries for content vs. voice processing...
  26. ncbi request reprint Knowing when to stop: the brain mechanisms of chasing losses
    Daniel K Campbell-Meiklejohn
    Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom
    Biol Psychiatry 63:293-300. 2008
    ..Continued gambling to recover previous losses ("loss-chasing") is central to pathological gambling. However, very little is known about the neural mechanisms that mediate this behavior...