Mark Woolrich

• The heritability of multi-modal connectivity in human brain activity.

  Colclough GL. et al, (2017), Elife, 6

• Discovering dynamic brain networks from big data in rest and task.

  Vidaurre D. et al, (2017), Neuroimage

• Single or multiple frequency generators in on-going brain activity: A mechanistic whole-brain model of empirical MEG data.

  Deco G. et al, (2017), Neuroimage, 152, 538 - 550

• Using generative models to make probabilistic statements about hippocampal engagement in MEG.

  Meyer SS. et al, (2017), Neuroimage, 149, 468 - 482

• Preparatory α-band oscillations reflect spatial gating independently of predictions regarding target identity.

  Wildegger T. et al, (2017), J Neurophysiol, 117, 1385 - 1394

• Measurement of dynamic task related functional networks using MEG.

  O'Neill GC. et al, (2017), Neuroimage, 146, 667 - 678

• Altered cortical beta-band oscillations reflect motor system degeneration in amyotrophic lateral sclerosis.

  Proudfoot M. et al, (2017), Hum Brain Mapp, 38, 237 - 254

• Integrating cross-frequency and within band functional networks in resting-state MEG: A multi-layer network approach.

  Tewarie P. et al, (2016), Neuroimage, 142, 324 - 336

• Statistical analysis of fMRI data

  Woolrich MW. et al, (2016), Neuromethods, 119, 183 - 239

• How reliable are MEG resting-state connectivity metrics?

  Colclough GL. et al, (2016), Neuroimage, 138, 284 - 293

• Training Working Memory in Childhood Enhances Coupling between Frontoparietal Control Network and Task-Related Regions.

  Barnes JJ. et al, (2016), J Neurosci, 36, 9001 - 9011

• Evidence for a Caregiving Instinct: Rapid Differentiation of Infant from Adult Vocalizations Using Magnetoencephalography.

  Young KS. et al, (2016), Cereb Cortex, 26, 1309 - 1321

• Spectrally resolved fast transient brain states in electrophysiological data.

  Vidaurre D. et al, (2016), Neuroimage, 126, 81 - 95

• Intrusive memories to traumatic footage: the neural basis of their encoding and involuntary recall.

  Clark IA. et al, (2016), Psychol Med, 46, 505 - 518

• Non-linear Parameter Estimates from Non-stationary MEG Data.

  Martínez-Vargas JD. et al, (2016), Front Neurosci, 10

• Electrophysiological measures of resting state functional connectivity and their relationship with working memory capacity in childhood.

  Barnes JJ. et al, (2016), Dev Sci, 19, 19 - 31

• Testing sensory evidence against mnemonic templates.

  Myers NE. et al, (2015), Elife, 4

• Probabilistic non-linear registration with spatially adaptive regularisation.

  Simpson IJ. et al, (2015), Med Image Anal, 26, 203 - 216

• The Neural Dynamics of Fronto-Parietal Networks in Childhood Revealed using Magnetoencephalography.

  Astle DE. et al, (2015), Cereb Cortex, 25, 3868 - 3876

• Frontoparietal and Cingulo-opercular Networks Play Dissociable Roles in Control of Working Memory.

  Wallis G. et al, (2015), J Cogn Neurosci, 27, 2019 - 2034

• A symmetric multivariate leakage correction for MEG connectomes.

  Colclough GL. et al, (2015), Neuroimage, 117, 439 - 448

• Dynamic recruitment of resting state sub-networks.

  O'Neill GC. et al, (2015), Neuroimage, 115, 85 - 95

• Modulation of hippocampal theta and hippocampal-prefrontal cortex function by a schizophrenia risk gene.

  Cousijn H. et al, (2015), Hum Brain Mapp, 36, 2387 - 2395

• Assessing brain-behaviour volatility in bipolar disorder

  Nobre AC. et al, (2015), BIPOLAR DISORDERS, 17, 12 - 12

• Cognitive training enhances intrinsic brain connectivity in childhood.

  Astle DE. et al, (2015), J Neurosci, 35, 6277 - 6283

• Large-scale probabilistic functional modes from resting state fMRI.

  Harrison SJ. et al, (2015), Neuroimage, 109, 217 - 231

• Variational Bayes

  Chappell MA. and Woolrich MW., (2015), Brain Mapping: An Encyclopedic Reference, 1, 523 - 533

• Bayesian Model Inversion

  Woolrich MW. and Chappell MA., (2015), Brain Mapping: An Encyclopedic Reference, 1, 509 - 516

• Learning to identify CNS drug action and efficacy using multistudy fMRI data.

  Duff EP. et al, (2015), Sci Transl Med, 7

• Role of white-matter pathways in coordinating alpha oscillations in resting visual cortex.

  Hindriks R. et al, (2015), Neuroimage, 106, 328 - 339

• Memory load modulates graded changes in distracter filtering

  Shimi A. et al, (2015), Frontiers in Human Neuroscience, 8

• Modulation of hippocampal theta and hippocampal-prefrontal cortex function by a schizophrenia risk gene

  Cousijn H. et al, (2015), Human Brain Mapping, 36, 2387 - 2395

• Modulation of alpha power at encoding and retrieval tracks the precision of visual short-term memory.

  Poliakov E. et al, (2014), J Neurophysiol, 112, 2939 - 2945

• Optimising beamformer regions of interest analysis.

  Oswal A. et al, (2014), Neuroimage, 102 Pt 2, 945 - 954

• Optimising beamformer regions of interest analysis

  Oswal A. et al, (2014), NeuroImage, 102

• Guiding functional connectivity estimation by structural connectivity in MEG: an application to discrimination of conditions of mild cognitive impairment.

  Pineda-Pardo JA. et al, (2014), Neuroimage, 101, 765 - 777

• Guiding functional connectivity estimation by structural connectivity in MEG: An application to discrimination of conditions of mild cognitive impairment

  Pineda-Pardo JA. et al, (2014), NeuroImage, 101, 765 - 777

• First steps in using machine learning on fMRI data to predict intrusive memories of traumatic film footage.

  Clark IA. et al, (2014), Behav Res Ther, 62, 37 - 46

• First steps in using machine learning on fMRI data to predict intrusive memories of traumatic film footage

  Clark IA. et al, (2014), Behaviour Research and Therapy, 62, 37 - 46

• Magnetoencephalography.

  Proudfoot M. et al, (2014), Pract Neurol, 14, 336 - 343

• Multi-session statistics on beamformed MEG data

  Luckhoo HT. et al, (2014), NeuroImage, 95, 330 - 335

• Multi-session statistics on beamformed MEG data.

  Luckhoo HT. et al, (2014), Neuroimage, 95, 330 - 335

• Serotonin and social norms: tryptophan depletion impairs social comparison and leads to resource depletion in a multiplayer harvesting game.

  Bilderbeck AC. et al, (2014), Psychol Sci, 25, 1303 - 1313

• An Introduction to MEG connectivity measurements

  Brookes MJ. et al, (2014), Magnetoencephalography: From Signals to Dynamic Cortical Networks, 9783642330452, 321 - 358

• Measuring temporal, spectral and spatial changes in electrophysiological brain network connectivity.

  Brookes MJ. et al, (2014), Neuroimage, 91, 282 - 299

• Exploring mechanisms of spontaneous functional connectivity in MEG: how delayed network interactions lead to structured amplitude envelopes of band-pass filtered oscillations.

  Cabral J. et al, (2014), Neuroimage, 90, 423 - 435

• Local GABA concentration is related to network-level resting functional connectivity.

  Stagg CJ. et al, (2014), Elife, 3

• Fast transient networks in spontaneous human brain activity.

  Baker AP. et al, (2014), Elife, 3

• Non-Gaussian probabilistic MEG source localisation based on kernel density estimation.

  Mohseni HR. et al, (2014), Neuroimage, 87, 444 - 464

• How delays matter in an oscillatory whole-brain spiking-neuron network model for MEG alpha-rhythms at rest.

  Nakagawa TT. et al, (2014), Neuroimage, 87, 383 - 394

• MVPA to enhance the study of rare cognitive events: An investigation of experimental PTSD

  Niehaus KE. et al, (2014), Proceedings - 2014 International Workshop on Pattern Recognition in Neuroimaging, PRNI 2014

• Memory load modulates graded changes in distracter filtering.

  Shimi A. et al, (2014), Front Hum Neurosci, 8

• Localization of MEG human brain responses to retinotopic visual stimuli with contrasting source reconstruction approaches.

  Cicmil N. et al, (2014), Front Neurosci, 8

• Functional connectomics from resting-state fMRI.

  Smith SM. et al, (2013), Trends Cogn Sci, 17, 666 - 682

• Functional connectomics from resting-state fMRI

  Smith SM. et al, (2013), Trends in Cognitive Sciences, 17, 666 - 682

• A Bayesian approach for spatially adaptive regularisation in non-rigid registration

  Simpson IJA. et al, (2013), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8150 LNCS, 10 - 18

• A non-Gaussian LCMV beamformer for MEG source reconstruction

  Mohseni HR. et al, (2013), ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 1247 - 1251

• A non-Gaussian LCMV beamformer for MEG source reconstruction

  Mohseni HR. et al, (2013), ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 1247 - 1251

• A new approach to the fusion of EEG and MEG signals using the LCMV beamformer

  Mohseni HR. et al, (2013), ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 1202 - 1206

• Utility of partial correlation for characterising brain dynamics: MVPA-based assessment of regularisation and network selection

  Duff E. et al, (2013), Proceedings - 2013 3rd International Workshop on Pattern Recognition in Neuroimaging, PRNI 2013, 58 - 61

• Resting-state fMRI in the Human Connectome Project.

  Smith SM. et al, (2013), Neuroimage, 80, 144 - 168

• Biophysical network models and the human connectome.

  Woolrich MW. and Stephan KE., (2013), Neuroimage, 80, 330 - 338

• Biophysical network models and the human connectome

  Woolrich MW. and Stephan KE., (2013), NeuroImage, 80, 330 - 338

• Adding dynamics to the Human Connectome Project with MEG

  Larson-Prior LJ. et al, (2013), NeuroImage, 80, 190 - 201

• Adding dynamics to the Human Connectome Project with MEG.

  Larson-Prior LJ. et al, (2013), Neuroimage, 80, 190 - 201

• Dynamic state allocation for MEG source reconstruction.

  Woolrich MW. et al, (2013), Neuroimage, 77, 77 - 92

• RubiX: combining spatial resolutions for Bayesian inference of crossing fibers in diffusion MRI.

  Sotiropoulos SN. et al, (2013), IEEE Trans Med Imaging, 32, 969 - 982

• Comparing model-based and model-free analysis methods for QUASAR arterial spin labeling perfusion quantification

  Chappell MA. et al, (2013), Magnetic Resonance in Medicine, 69, 1466 - 1475

• Comparing model-based and model-free analysis methods for QUASAR arterial spin labeling perfusion quantification.

  Chappell MA. et al, (2013), Magn Reson Med, 69, 1466 - 1475

• Ensemble learning incorporating uncertain registration.

  Simpson IJ. et al, (2013), IEEE Trans Med Imaging, 32, 748 - 756

• Set-level threshold-free tests on the intrinsic volumes of SPMs.

  Barnes GR. et al, (2013), Neuroimage, 68, 133 - 140

• Using variance information in magnetoencephalography measures of functional connectivity.

  Hall EL. et al, (2013), Neuroimage, 67, 203 - 212

• Modeling dispersion in arterial spin labeling: validation using dynamic angiographic measurements.

  Chappell MA. et al, (2013), Magn Reson Med, 69, 563 - 570

• Modeling dispersion in arterial spin labeling: Validation using dynamic angiographic measurements

  Chappell MA. et al, (2013), Magnetic Resonance in Medicine, 69, 563 - 570

• Trial-type dependent frames of reference for value comparison.

  Hunt LT. et al, (2013), PLoS Comput Biol, 9

• SEARCHING FOR TARGETS WITHIN VISUAL SHORT-TERM MEMORY VERSUS PERCEPTUAL REPRESENTATIONS: A MAGNETOENCEPHALOGRAHIC STUDY

  Kuo B-C. et al, (2013), JOURNAL OF COGNITIVE NEUROSCIENCE, 134 - 134

• Minor structural abnormalities in the infant face disrupt neural processing: a unique window into early caregiving responses.

  Parsons CE. et al, (2013), Soc Neurosci, 8, 268 - 274

• A Bayesian approach for spatially adaptive regularisation in non-rigid registration.

  Simpson IJ. et al, (2013), Med Image Comput Comput Assist Interv, 16, 10 - 18

• Task induced modulation of neural oscillations in electrophysiological brain networks.

  Brookes MJ. et al, (2012), Neuroimage, 63, 1918 - 1930

• Measuring functional connectivity in MEG: a multivariate approach insensitive to linear source leakage.

  Brookes MJ. et al, (2012), Neuroimage, 63, 910 - 920

• Measuring functional connectivity in MEG: A multivariate approach insensitive to linear source leakage

  Brookes MJ. et al, (2012), NeuroImage, 63, 910 - 920

• Benefits of multi-modal fusion analysis on a large-scale dataset: life-span patterns of inter-subject variability in cortical morphometry and white matter microstructure.

  Groves AR. et al, (2012), Neuroimage, 63, 365 - 380

• FSL.

  Jenkinson M. et al, (2012), Neuroimage, 62, 782 - 790

• FSL

  Jenkinson M. et al, (2012), NeuroImage, 62, 782 - 790

• Bayesian inference in FMRI.

  Woolrich MW., (2012), Neuroimage, 62, 801 - 810

• Bayesian inference in FMRI

  Woolrich MW., (2012), NeuroImage, 62, 801 - 810

• A probabilistic non-rigid registration framework using local noise estimates

  Simpson IJA. et al, (2012), Proceedings - International Symposium on Biomedical Imaging, 688 - 691

• Inferring task-related networks using independent component analysis in magnetoencephalography.

  Luckhoo H. et al, (2012), Neuroimage, 62, 530 - 541

• Fusion of magnetometer and gradiometer sensors of MEG in the presence of multiplicative error.

  Mohseni HR. et al, (2012), IEEE Trans Biomed Eng, 59, 1951 - 1961

• Tools of the trade: psychophysiological interactions and functional connectivity.

  O'Reilly JX. et al, (2012), Soc Cogn Affect Neurosci, 7, 604 - 609

• A fast analysis method for non-invasive imaging of blood flow in individual cerebral arteries using vessel-encoded arterial spin labelling angiography

  Chappell MA. et al, (2012), Medical Image Analysis, 16, 831 - 839

• A fast analysis method for non-invasive imaging of blood flow in individual cerebral arteries using vessel-encoded arterial spin labelling angiography.

  Chappell MA. et al, (2012), Med Image Anal, 16, 831 - 839

• Task-driven ICA feature generation for accurate and interpretable prediction using fMRI.

  Duff EP. et al, (2012), Neuroimage, 60, 189 - 203

• Mechanisms underlying cortical activity during value-guided choice

  Hunt LT. et al, (2012), Nature Neuroscience, 15, 470 - 476

• Temporally-independent functional modes of spontaneous brain activity

  Smith SM. et al, (2012), Proceedings of the National Academy of Sciences of the United States of America, 109, 3131 - 3136

• Temporally-independent functional modes of spontaneous brain activity.

  Smith SM. et al, (2012), Proc Natl Acad Sci U S A, 109, 3131 - 3136

• Probabilistic inference of regularisation in non-rigid registration.

  Simpson IJ. et al, (2012), Neuroimage, 59, 2438 - 2451

• Probabilistic inference of regularisation in non-rigid registration

  Simpson IJA. et al, (2012), NeuroImage, 59, 2438 - 2451

• The danger of systematic bias in group-level FMRI-lag-based causality estimation.

  Smith SM. et al, (2012), Neuroimage, 59, 1228 - 1229

• Mechanisms underlying cortical activity during value-guided choice.

  Hunt LT. et al, (2012), Nat Neurosci, 15, 470 - S3

• Temporally-independent functional modes of spontaneous brain activity

  Smith SM. et al, (2012), Proceedings of the National Academy of Sciences of the United States of America, 109, 3131 - 3136

• Relationship between physiological measures of excitability and levels of glutamate and GABA in the human motor cortex

  Stagg CJ. et al, (2011), Journal of Physiology, 589, 5845 - 5855

• Relationship between physiological measures of excitability and levels of glutamate and GABA in the human motor cortex.

  Stagg CJ. et al, (2011), J Physiol, 589, 5845 - 5855

• Longitudinal brain MRI analysis with uncertain registration

  Simpson IJA. et al, (2011), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6892 LNCS, 647 - 654

• Investigating the electrophysiological basis of resting state networks using magnetoencephalography.

  Brookes MJ. et al, (2011), Proc Natl Acad Sci U S A, 108, 16783 - 16788

• Investigating the electrophysiological basis of resting state networks using magnetoencephalography

  Brookes M. et al, (2011), Proc Natl Acad Sci U S A, 108, 16783 - 16788

• Motor practice promotes increased activity in brain regions structurally disconnected after subcortical stroke.

  Bosnell RA. et al, (2011), Neurorehabil Neural Repair, 25, 607 - 616

• A fast solution to robust minimum variance beamformer and application to simultaneous MEG and local field potential

  Mohseni HR. et al, (2011), ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 545 - 548

• MEG beamforming using Bayesian PCA for adaptive data covariance matrix regularization.

  Woolrich M. et al, (2011), Neuroimage, 57, 1466 - 1479

• Using Gaussian-process regression for meta-analytic neuroimaging inference based on sparse observations.

  Salimi-Khorshidi G. et al, (2011), IEEE Trans Med Imaging, 30, 1401 - 1416

• Partial volume correction of multiple inversion time arterial spin labeling MRI data.

  Chappell MA. et al, (2011), Magn Reson Med, 65, 1173 - 1183

• Vessel-encoded dynamic magnetic resonance angiography using arterial spin labeling (Retraction of vol 64, pg 698, 2010)

  Okell TW. et al, (2011), MAGNETIC RESONANCE IN MEDICINE, 65, 900 - 900

• Linked independent component analysis for multimodal data fusion.

  Groves AR. et al, (2011), Neuroimage, 54, 2198 - 2217

• Network modelling methods for FMRI.

  Smith SM. et al, (2011), Neuroimage, 54, 875 - 891

• The danger of systematic bias in group-level FMRI-lag-based causality estimation

  Smith SM. et al, (2011), NeuroImage

• Longitudinal brain MRI analysis with uncertain registration.

  Simpson IJ. et al, (2011), Med Image Comput Comput Assist Interv, 14, 647 - 654

• A general framework for the analysis of vessel encoded arterial spin labeling for vascular territory mapping.

  Chappell MA. et al, (2010), Magn Reson Med, 64, 1529 - 1539

• Vessel-encoded dynamic magnetic resonance angiography using arterial spin labeling.

  Okell TW. et al, (2010), Magn Reson Med, 64, 698 - 706

• Vessel-encoded dynamic magnetic resonance angiography using arterial spin labeling.

  Okell TW. et al, (2010), Magn Reson Med, 64, 430 - 438

• Separation of macrovascular signal in multi-inversion time arterial spin labelling MRI.

  Chappell MA. et al, (2010), Magn Reson Med, 63, 1357 - 1365

• Assessment of arterial arrival times derived from multiple inversion time pulsed arterial spin labeling MRI.

  MacIntosh BJ. et al, (2010), Magn Reson Med, 63, 641 - 647

• Statistical analysis of fMRI data

  Woolrich MW. et al, (2009), 41, 179 - 236

• Modulation of movement-associated cortical activation by transcranial direct current stimulation.

  Stagg CJ. et al, (2009), Eur J Neurosci, 30, 1412 - 1423

• How green is the grass on the other side? Frontopolar cortex and the evidence in favor of alternative courses of action.

  Boorman ED. et al, (2009), Neuron, 62, 733 - 743

• Erratum to "Bayesian deconvolution of fMRI data using bilinear dynamical systems" [NeuroImage 42 (2008) 1381-1396] (DOI:10.1016/j.neuroimage.2008.05.052)

  Makni S. et al, (2009), NeuroImage, 46

• Bayesian deconvolution of fMRI data using bilinear dynamical systems (vol 42, pg 1381, 2008)

  Makni S. et al, (2009), NEUROIMAGE, 46, 343 - 343

• Combined spatial and non-spatial prior for inference on MRI time-series.

  Groves AR. et al, (2009), Neuroimage, 45, 795 - 809

• Bayesian analysis of neuroimaging data in FSL.

  Woolrich MW. et al, (2009), Neuroimage, 45, S173 - S186

• Variational Bayesian inference for a nonlinear forward model

  Chappell MA. et al, (2009), IEEE Transactions on Signal Processing, 57, 223 - 236

• Multiple-subjects connectivity-based parcellation using hierarchical Dirichlet process mixture models.

  Jbabdi S. et al, (2009), Neuroimage, 44, 373 - 384

• Vascular territory image analysis using vessel encoded arterial spin labeling.

  Chappell MA. et al, (2009), Med Image Comput Comput Assist Interv, 12, 514 - 521

• Associative learning of social value.

  Behrens TE. et al, (2008), Nature, 456, 245 - 249

• Bayesian deconvolution of [corrected] fMRI data using bilinear dynamical systems.

  Makni S. et al, (2008), Neuroimage, 42, 1381 - 1396

• Robust group analysis using outlier inference.

  Woolrich M., (2008), Neuroimage, 41, 286 - 301

• Knowing when to stop: the brain mechanisms of chasing losses.

  Campbell-Meiklejohn DK. et al, (2008), Biol Psychiatry, 63, 293 - 300

• Evidence for a vascular contribution to diffusion FMRI at high b value.

  Miller KL. et al, (2007), Proc Natl Acad Sci U S A, 104, 20967 - 20972

• Learning the value of information in an uncertain world.

  Behrens TE. et al, (2007), Nat Neurosci, 10, 1214 - 1221

• A Bayesian framework for global tractography.

  Jbabdi S. et al, (2007), Neuroimage, 37, 116 - 129

• Probabilistic diffusion tractography with multiple fibre orientations: What can we gain?

  Behrens TE. et al, (2007), Neuroimage, 34, 144 - 155

• Meaningful design and contrast estimability in FMRI.

  Smith S. et al, (2007), Neuroimage, 34, 127 - 136

• Variational Bayes inference of spatial mixture models for segmentation.

  Woolrich MW. and Behrens TE., (2006), IEEE Trans Med Imaging, 25, 1380 - 1391

• Bayesian inference of hemodynamic changes in functional arterial spin labeling data.

  Woolrich MW. et al, (2006), Magn Reson Med, 56, 891 - 906

• Automated single-trial measurement of amplitude and latency of laser-evoked potentials (LEPs) using multiple linear regression.

  Mayhew SD. et al, (2006), Clin Neurophysiol, 117, 1331 - 1344

• Applying FSL to the FIAC data: Model-based and model-free analysis of voice and sentence repetition priming

  Beckmann CF. et al, (2006), Human Brain Mapping, 27, 380 - 391

• Applying FSL to the FIAC data: model-based and model-free analysis of voice and sentence repetition priming.

  Beckmann CF. et al, (2006), Hum Brain Mapp, 27, 380 - 391

• Variability in fMRI: a re-examination of inter-session differences.

  Smith SM. et al, (2005), Hum Brain Mapp, 24, 248 - 257

• Mixture models with adaptive spatial regularization for segmentation with an application to FMRI data.

  Woolrich MW. et al, (2005), IEEE Trans Med Imaging, 24, 1 - 11

• Multilevel linear modelling for FMRI group analysis using Bayesian inference.

  Woolrich MW. et al, (2004), Neuroimage, 21, 1732 - 1747

• Constrained linear basis sets for HRF modelling using Variational Bayes.

  Woolrich MW. et al, (2004), Neuroimage, 21, 1748 - 1761

• Fully Bayesian spatio-temporal modeling of FMRI data.

  Woolrich MW. et al, (2004), IEEE Trans Med Imaging, 23, 213 - 231

• Advances in functional and structural MR image analysis and implementation as FSL.

  Smith SM. et al, (2004), Neuroimage, 23 Suppl 1, S208 - S219

• Characterization and propagation of uncertainty in diffusion-weighted MR imaging.

  Behrens TE. et al, (2003), Magn Reson Med, 50, 1077 - 1088

• Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging.

  Behrens TE. et al, (2003), Nat Neurosci, 6, 750 - 757

• Functional brain reorganization for hand movement in patients with multiple sclerosis: defining distinct effects of injury and disability.

  Reddy H. et al, (2002), Brain, 125, 2646 - 2657

• Functional brain reorganization for hand movement in patients with multiple sclerosis: Defining distinct effects of injury and disability

  Reddy H. et al, (2002), Brain, 125, 2646 - 2657

• Temporal autocorrelation in univariate linear modeling of FMRI data.

  Woolrich MW. et al, (2001), Neuroimage, 14, 1370 - 1386

• Heirarchical fully Bayesian spatio-temporal analysis of FMRI data

  Woolrich M. et al, (2001), NEUROIMAGE, 13, S287 - S287

• FSL: New tools for functional and structural brain image analysis

  Smith S. et al, (2001), NEUROIMAGE, 13, S249 - S249

• Nonparametric estimation of temporal autocorrelation in FMRI

  Woolrich MW. et al, (2000), NeuroImage, 11

• Attention to touch modulates activity in both primary and secondary somatosensory areas

  Johansen-Berg H. et al, (2000), NeuroImage, 11

• Attention to touch modulates activity in both primary and secondary somatosensory areas.

  Johansen-Berg H. et al, (2000), Neuroreport, 11, 1237 - 1241

• Fast transient networks in spontaneous human brain activity.

  Baker AP. et al, (2014), Elife, 3

• Biophysical network models and the human connectome.

  Woolrich MW. and Stephan KE., (2013), Neuroimage, 80, 330 - 338

• Dynamic state allocation for MEG source reconstruction.

  Woolrich MW. et al, (2013), Neuroimage, 77, 77 - 92

• Exploring mechanisms of spontaneous functional connectivity in MEG: how delayed network interactions lead to structured amplitude envelopes of band-pass filtered oscillations.

  Cabral J. et al, (2014), Neuroimage, 90, 423 - 435

Recent Publications

• The heritability of multi-modal connectivity in human brain activity.

  Colclough GL. et al, (2017), Elife, 6

• Discovering dynamic brain networks from big data in rest and task.

  Vidaurre D. et al, (2017), Neuroimage