W Penny

Summary

Affiliation: University College London
Country: UK

Publications

  1. ncbi request reprint Transcranial electrical brain stimulation modulates neuronal tuning curves in perception of numerosity and duration
    Amir Homayoun Javadi
    Institute of Behavioural Neuroscience, Department of Experimental Psychology, University College London, WC1H 0AP, London, UK Electronic address
    Neuroimage 102:451-7. 2014
  2. pmc A general Bayesian treatment for MEG source reconstruction incorporating lead field uncertainty
    J D Lopez
    Mechatronics School, Bl M8 108 Facultad de Minas, Universidad Nacional de Colombia, Medellin, Colombia
    Neuroimage 60:1194-204. 2012
  3. pmc Bilinear dynamical systems
    W Penny
    Wellcome Department of Imaging Neuroscience, University College, London WC1N 3BG, UK
    Philos Trans R Soc Lond B Biol Sci 360:983-93. 2005
  4. ncbi request reprint Bayesian fMRI time series analysis with spatial priors
    William D Penny
    Wellcome Department of Imaging Neuroscience, UCL, London, UK
    Neuroimage 24:350-62. 2005
  5. ncbi request reprint Mixtures of general linear models for functional neuroimaging
    Will Penny
    Wellcome Department of Imaging Neuroscience, University College, 12 Queen Square, London WC1N 3BG, UK
    IEEE Trans Med Imaging 22:504-14. 2003
  6. ncbi request reprint Event-related brain dynamics
    Will D Penny
    Wellcome Department of Imaging Neuroscience, University College London, 12 Queen Square, London WC1N 3BG, UK
    Trends Neurosci 25:387-9. 2002
  7. pmc Graph-partitioned spatial priors for functional magnetic resonance images
    L M Harrison
    Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, 12 Queen Square, London, WC1N 3BG UK
    Neuroimage 43:694-707. 2008
  8. ncbi request reprint Dynamic causal modelling
    K J Friston
    The Wellcome Department of Imaging Neuroscience, Institute of Neurology, Queen Square, London WC1N 3BG, UK
    Neuroimage 19:1273-302. 2003
  9. pmc Diffusion-based spatial priors for imaging
    L M Harrison
    The Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, 12 Queen Square, London, WC1N 3BG, UK
    Neuroimage 38:677-95. 2007
  10. pmc Estimating the transfer function from neuronal activity to BOLD using simultaneous EEG-fMRI
    M J Rosa
    Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, University College London, 12 Queen Square, WC1N 3BG, UK
    Neuroimage 49:1496-509. 2010

Detail Information

Publications24

  1. ncbi request reprint Transcranial electrical brain stimulation modulates neuronal tuning curves in perception of numerosity and duration
    Amir Homayoun Javadi
    Institute of Behavioural Neuroscience, Department of Experimental Psychology, University College London, WC1H 0AP, London, UK Electronic address
    Neuroimage 102:451-7. 2014
    ..We believe that this approach may prove useful in understanding the impact of brain stimulation on other cognitive domains. ..
  2. pmc A general Bayesian treatment for MEG source reconstruction incorporating lead field uncertainty
    J D Lopez
    Mechatronics School, Bl M8 108 Facultad de Minas, Universidad Nacional de Colombia, Medellin, Colombia
    Neuroimage 60:1194-204. 2012
    ..We also show that this process gives improved posterior distributions on the estimated current distributions, and can be extended to make inference on the locations of local maxima by providing confidence intervals for each source...
  3. pmc Bilinear dynamical systems
    W Penny
    Wellcome Department of Imaging Neuroscience, University College, London WC1N 3BG, UK
    Philos Trans R Soc Lond B Biol Sci 360:983-93. 2005
    ..We report preliminary results that focus on the assumed stochastic nature of the neurodynamic model and compare the method to Wiener deconvolution...
  4. ncbi request reprint Bayesian fMRI time series analysis with spatial priors
    William D Penny
    Wellcome Department of Imaging Neuroscience, UCL, London, UK
    Neuroimage 24:350-62. 2005
    ..Our model generalizes earlier work on voxel-wise estimation of GLM-AR models and inference in GLMs using Posterior Probability Maps (PPMs). Results are shown on simulated data and on data from an event-related fMRI experiment...
  5. ncbi request reprint Mixtures of general linear models for functional neuroimaging
    Will Penny
    Wellcome Department of Imaging Neuroscience, University College, 12 Queen Square, London WC1N 3BG, UK
    IEEE Trans Med Imaging 22:504-14. 2003
    ..The model can also be viewed as performing a spatio-temporal cluster analysis. The parameters of the model are estimated using an expectation maximization (EM) algorithm...
  6. ncbi request reprint Event-related brain dynamics
    Will D Penny
    Wellcome Department of Imaging Neuroscience, University College London, 12 Queen Square, London WC1N 3BG, UK
    Trends Neurosci 25:387-9. 2002
    ....
  7. pmc Graph-partitioned spatial priors for functional magnetic resonance images
    L M Harrison
    Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, 12 Queen Square, London, WC1N 3BG UK
    Neuroimage 43:694-707. 2008
    ..The high-resolution fMRI data presented here had greatest evidence for the graph partitioned anisotropic model, which was best able to preserve fine functional detail...
  8. ncbi request reprint Dynamic causal modelling
    K J Friston
    The Wellcome Department of Imaging Neuroscience, Institute of Neurology, Queen Square, London WC1N 3BG, UK
    Neuroimage 19:1273-302. 2003
    ..psychophysiologic interactions). However, unlike previous approaches in neuroimaging, the causal model ascribes responses to designed deterministic inputs, as opposed to treating inputs as unknown and stochastic...
  9. pmc Diffusion-based spatial priors for imaging
    L M Harrison
    The Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, 12 Queen Square, London, WC1N 3BG, UK
    Neuroimage 38:677-95. 2007
    ..Critically, this means adaptive smoothing becomes an integral part of estimation and inference. We illustrate the method using synthetic and real fMRI data...
  10. pmc Estimating the transfer function from neuronal activity to BOLD using simultaneous EEG-fMRI
    M J Rosa
    Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, University College London, 12 Queen Square, WC1N 3BG, UK
    Neuroimage 49:1496-509. 2010
    ....
  11. pmc Bayesian model selection maps for group studies
    M J Rosa
    Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, University College London, 12 Queen Square, London, UK
    Neuroimage 49:217-24. 2010
    ..This note describes the integration of the Bayesian mapping approach with a random effects analysis model for BMS using group data. We illustrate the method using fMRI data from a group of subjects performing a target detection task...
  12. ncbi request reprint Posterior probability maps and SPMs
    K J Friston
    The Wellcome Department of Imaging Neuroscience, London, Queen Square, London WC1N 3BG, UK
    Neuroimage 19:1240-9. 2003
    ..We then compare Bayesian and classical inference through the equivalent PPMs and SPMs testing for the same effect in the same data...
  13. pmc Post-hoc selection of dynamic causal models
    M J Rosa
    Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, 12 Queen Square, WC1N 3BG, UK
    J Neurosci Methods 208:66-78. 2012
    ....
  14. pmc Diffusion-based spatial priors for functional magnetic resonance images
    L M Harrison
    Wellcome Trust Centre for Neuroimaging, UCL, London, UK
    Neuroimage 41:408-23. 2008
    ..Indeed, for the auditory data we provide strong evidence for a non-stationary process, which concurs with a qualitative comparison of predicted activations at the boundary of functionally selective regions...
  15. pmc Optimized beamforming for simultaneous MEG and intracranial local field potential recordings in deep brain stimulation patients
    Vladimir Litvak
    UCL Institute of Neurology, Queen Square, WC1N 3BG, London, UK
    Neuroimage 50:1578-88. 2010
    ..Our findings demonstrate that physiologically meaningful information can be extracted from heavily contaminated MEG signals and pave the way for further analysis of combined MEG-LFP recordings in DBS patients...
  16. pmc The known unknowns: neural representation of second-order uncertainty, and ambiguity
    Dominik R Bach
    Wellcome Trust Centre for Neuroimaging, University College London, London WC1N 3BG, United Kingdom
    J Neurosci 31:4811-20. 2011
    ..Our findings indicate that behavioral and neural responses to second-order uncertainty are distinct from those associated with ambiguity and may call for a reappraisal of previous data...
  17. ncbi request reprint Bayesian fMRI data analysis with sparse spatial basis function priors
    Guillaume Flandin
    Wellcome Department of Imaging Neuroscience, 12 Queen Square, London WC1N 3BG, UK
    Neuroimage 34:1108-25. 2007
    ..Results are shown on synthetic data and on data from an event-related fMRI experiment...
  18. ncbi request reprint MEG source localization under multiple constraints: an extended Bayesian framework
    Jeremie Mattout
    Wellcome Department of Imaging Neuroscience, 12 Queen Square, WC1N 3BG London, UK
    Neuroimage 30:753-67. 2006
    ..Finally, we show how model selection, using the log-evidence, can be used to select the best combination of priors. This enables a global strategy for multiple prior-based regularization of the MEG/EEG source reconstruction...
  19. ncbi request reprint Bayesian nonstationary autoregressive models for biomedical signal analysis
    Michael J Cassidy
    Sobell Department of Neurophysiology, Institute of Neurology, University College London, UK
    IEEE Trans Biomed Eng 49:1142-52. 2002
    ..Results are presented on synthetic data and real electroencephalogram data recorded in event-related desynchronization and photic synchronization scenarios...
  20. ncbi request reprint Classical and Bayesian inference in neuroimaging: theory
    K J Friston
    The Wellcome Department of Imaging Neuroscience, The Gatsby Computational Neuroscience Unit, University College London, Queen Square, London, WC1N 3BG, United Kingdom
    Neuroimage 16:465-83. 2002
    ..Although diverse, all these estimation problems are accommodated by the PEB framework described in this paper...
  21. ncbi request reprint Temporal and spatial complexity measures for electroencephalogram based brain-computer interfacing
    S J Roberts
    Department of Electrical and Electronic Engineering, Imperial College of Science, Technology and Medicine, London, UK
    Med Biol Eng Comput 37:93-8. 1999
    ..Results are shown on synthetic and real data sets...
  22. ncbi request reprint Conjunction revisited
    Karl J Friston
    The Wellcome Department of Imaging Neuroscience and Institute of Cognitive Neuroscience, University College London, 17 Queen Square, London, WC1N 3AR, UK
    Neuroimage 25:661-7. 2005
    ..This more general conjunction test is described...
  23. ncbi request reprint Bayesian M/EEG source reconstruction with spatio-temporal priors
    Nelson J Trujillo-Barreto
    Brain Dynamics Department, Cuban Neuroscience Centre, P O Box 6412 6414, Ave 25, Esq 158, No 15202, Cubanacan, Playa, Havana, Cuba
    Neuroimage 39:318-35. 2008
    ..Finally, the VB-GLM approach is used to analyze an EEG data set from a face processing experiment...
  24. ncbi request reprint Modeling regional and psychophysiologic interactions in fMRI: the importance of hemodynamic deconvolution
    Darren R Gitelman
    The Northwestern Cognitive Brain Mapping Group, Cognitive Neurology and Alzheimer s Disease Center, Northwestern University, Feinberg School of Medicine, Chicago, IL 60611, USA
    Neuroimage 19:200-7. 2003
    ..In this article, this assumption is revisited using estimates of underlying neuronal activity. These estimates use a parametric empirical Bayes formulation for hemodynamic deconvolution...