Mark W. Woolrich

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Directed functional connectivity using dynamic graphical models

Mark W. Woolrich, Simon Schwab, Ruth Harbord, 2018, NeuroImage.

Hypothesis testing in the presence of noisy experimental replications

Mark W. Woolrich, Jonathan Smallwood, Thomas E. Nichols, 2018 .

Probabilistic Segmentation Propagation from Uncertainty in Registration

Mark W. Woolrich, Julia A. Schnabel, Ivor J. A. Simpson, 2011, MIUA.

Variational bayes inference of spatial mixture models for segmentation

Mark W. Woolrich, Timothy Edward John Behrens, M. Woolrich, 2006, IEEE Transactions on Medical Imaging.

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

Mark W. Woolrich, Matthew J. Brookes, Gareth R. Barnes, 2017, NeuroImage.

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

Hamid Reza Mohseni, Morten L. Kringelbach, Mark W. Woolrich, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

RubiX: Combining Spatial Resolutions for Bayesian Inference of Crossing Fibers in Diffusion MRI

Mark W. Woolrich, Timothy Edward John Behrens, Stamatios N. Sotiropoulos, 2013, IEEE Transactions on Medical Imaging.

Tracking dynamic brain networks using high temporal resolution MEG measures of functional connectivity

Mark W. Woolrich, Matthew J. Brookes, Cornelis J. Stam, 2019, NeuroImage.

MEG beamforming using Bayesian PCA for adaptive data covariance matrix regularization

Mark W. Woolrich, Gareth R. Barnes, Laurence T. Hunt, 2011, NeuroImage.

Fully Bayesian spatio-temporal modeling of FMRI data

Mark W. Woolrich, Stephen M. Smith, Mark Jenkinson, 2004, IEEE Transactions on Medical Imaging.

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

Mark W. Woolrich, Michael A. Chappell, Adrian R. Groves, 2009, NeuroImage.

How reliable are MEG resting-state connectivity metrics?

Mark W. Woolrich, Matthew J. Brookes, Stephen M. Smith, 2016, NeuroImage.

Decoding Movement States in Stepping Cycles Based on Subthalamic LFPs in Parkinsonian Patients

Mark W. Woolrich, Diego Vidaurre, Peter Brown, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Adding dynamics to the Human Connectome Project with MEG

Mark W. Woolrich, Abraham Z. Snyder, Maurizio Corbetta, 2013, NeuroImage.

An Introduction to MEG Connectivity Measurements

Mark W. Woolrich, Darren Price, Matthew J. Brookes, 2014, Magnetoencephalography.

Using variance information in magnetoencephalography measures of functional connectivity

Mark W. Woolrich, Carlos E. Thomaz, Matthew J. Brookes, 2013, NeuroImage.

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

Mark W. Woolrich, Karl J. Friston, Guillaume Flandin, 2013, NeuroImage.

Multi-session statistics on beamformed MEG data

Mark W. Woolrich, Matthew J. Brookes, Henry Luckhoo, 2014, NeuroImage.

Bayesian Optimisation of Large-Scale Biophysical Networks

Mark W. Woolrich, Stamatios N. Sotiropoulos, Romesh G. Abeysuriya, 2017, NeuroImage.

Modelling subject variability in the spatial and temporal characteristics of functional modes

Mark W. Woolrich, Stephen M. Smith, Sean P. Fitzgibbon, 2019, NeuroImage.

Disambiguating brain functional connectivity

Mark W. Woolrich, Stephen M. Smith, Eugene P. Duff, 2017, NeuroImage.

The relationship between spatial configuration and functional connectivity of brain regions

Mark W. Woolrich, Stephen M. Smith, Matthew F. Glasser, 2017 .

A symmetric multivariate leakage correction for MEG connectomes

Mark W. Woolrich, Matthew J. Brookes, Stephen M. Smith, 2015, NeuroImage.

Distinct criticality of phase and amplitude dynamics in the resting brain

Morten L. Kringelbach, Mark W. Woolrich, Gustavo Deco, 2015, NeuroImage.

Dynamic recruitment of resting state sub-networks

Mark W. Woolrich, Matthew J. Brookes, Peter G. Morris, 2015, NeuroImage.

Author response: Local GABA concentration is related to network-level resting functional connectivity

Mark W. Woolrich, Heidi Johansen-Berg, Andrei Ilie, 2014 .

A probabilistic approach to non-rigid medical image registration

Mark W. Woolrich, Julia A. Schnabel, M. Woolrich, 2012 .

Bayesian Model Inversion

Mark W. Woolrich, Michael A. Chappell, 2015 .

How Sensitive Are Conventional MEG Functional Connectivity Metrics With Sliding Windows to Detect Genuine Fluctuations in Dynamic Functional Connectivity?

Mark W. Woolrich, Matthew J. Brookes, Arjan Hillebrand, 2019, Front. Neurosci..

Directed functional connectivity using dynamic graphical models

Mark W. Woolrich, Simon Schwab, Ruth Harbord, 2018 .

Mapping and interpreting the dynamic connectivity of the brain

Mark W. Woolrich, Catie Chang, Robyn L. Miller, 2018, NeuroImage.

Vascular Territory Image Analysis Using Vessel Encoded Arterial Spin Labeling

Mark W. Woolrich, Michael A. Chappell, Peter Jezzard, 2009, MICCAI.

Resting-state fMRI in the Human Connectome Project

Mark W. Woolrich, Steen Moeller, Essa Yacoub, 2013, NeuroImage.

Investigations into within- and between-subject resting-state amplitude variations

Mark W. Woolrich, Stephen M. Smith, Fidel Alfaro-Almagro, 2017, NeuroImage.

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

Mark W. Woolrich, Stephen M. Smith, Clare E. Mackay, 2012, NeuroImage.

A Bayesian Approach for Spatially Adaptive Regularisation in Non-rigid Registration

Mark W. Woolrich, Sébastien Ourselin, Marc Modat, 2013, MICCAI.

Projections of non-invasive human recordings into state space show unfolding of spontaneous and over-trained choice

Mark W. Woolrich, Miriam C. Klein-Flügge, Laurence T. Hunt, 2020, bioRxiv.

Multilevel linear modelling for FMRI group analysis using Bayesian inference

Mark W. Woolrich, Stephen M. Smith, Timothy Edward John Behrens, 2004, NeuroImage.

Do the posterior midline cortices belong to the electrophysiological default-mode network?

Mark W. Woolrich, Xavier De Tiège, Philippe Peigneux, 2019, NeuroImage.

Variational Bayesian Inference for a Nonlinear Forward Model

Mark W. Woolrich, Michael A. Chappell, Brandon J. Whitcher, 2020, IEEE Transactions on Signal Processing.

Trial-Type Dependent Frames of Reference for Value Comparison

Mark W. Woolrich, Timothy Edward John Behrens, Matthew F. S. Rushworth, 2013, PLoS Comput. Biol..

Motor learning shapes temporal activity in human sensorimotor cortex

Mark W. Woolrich, Catharina Zich, Diego Vidaurre, 2018, bioRxiv.

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

Mark W. Woolrich, Stephen M. Smith, Timothy Edward John Behrens, 2005, IEEE Transactions on Medical Imaging.

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

Hamid Reza Mohseni, Morten L. Kringelbach, Mark W. Woolrich, 2014, NeuroImage.

Emergence of neural dynamics within a co-ordinate space of large-scale neural hierarchies

Mark W. Woolrich, Theodoros Karapanagiotidis, Adam Turnbull, 2019 .

Bayesian analysis of neuroimaging data in FSL

Mark W. Woolrich, Stephen M. Smith, Timothy Edward John Behrens, 2009, NeuroImage.

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

Mark W. Woolrich, Mark G. Stokes, Helena Cousijn, 2015, Journal of Cognitive Neuroscience.

The FMRIB Variational Bayesian Inference Tutorial II: Stochastic Variational Bayes pdf

Mark W. Woolrich, Michael A. Chappell, M. Woolrich, 2020, ArXiv.

Post-stimulus beta responses are modulated by task duration

Mark W. Woolrich, Matthew J. Brookes, Susan T. Francis, 2020, NeuroImage.

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

Mark W. Woolrich, Andrew J. Parker, Holly Bridge, 2014, Front. Neurosci..

A tool for functional brain imaging with lifespan compliance

Mark W. Woolrich, Matthew J. Brookes, Elena Boto, 2019, Nature Communications.

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

Mark W. Woolrich, Piet Van Mieghem, Matthew J. Brookes, 2016, NeuroImage.

Spontaneous cortical activity transiently organises into frequency specific phase-coupling networks

Mark W. Woolrich, Matthew J. Brookes, Diego Vidaurre, 2017 .

Linked independent component analysis for multimodal data fusion

Mark W. Woolrich, Steve M. Smith, Christian F. Beckmann, 2011, NeuroImage.

Bayesian inference in FMRI

Mark W. Woolrich, M. Woolrich, 2012, NeuroImage.

A probabilistic non-rigid registration framework using local noise estimates

Mark W. Woolrich, Julia A. Schnabel, Ivor J. A. Simpson, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

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

Mark W. Woolrich, Stephen M. Smith, Timothy Edward John Behrens, 2004, NeuroImage.

Optimising beamformer regions of interest analysis

Mark W. Woolrich, Gareth R. Barnes, Vladimir Litvak, 2014, NeuroImage.

Measurement of dynamic task related functional networks using MEG

Mark W. Woolrich, Matthew J. Brookes, Peter G. Morris, 2017, NeuroImage.

Disambiguating brain functional connectivity

Mark W. Woolrich, Stephen M. Smith, Eugene P. Duff, 2017 .

Bayesian Optimisation of Large-Scale Biophysical Networks

Mark W. Woolrich, Stamatios N. Sotiropoulos, Romesh G. Abeysuriya, 2017 .

Biophysical network models and the human connectome

Mark W. Woolrich, Klaas E. Stephan, M. Woolrich, 2013, NeuroImage.

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

Mark W. Woolrich, Anders M. Fjell, Lars T. Westlye, 2012, NeuroImage.

Probabilistic inference of regularisation in non-rigid registration

Mark W. Woolrich, Julia A. Schnabel, Ivor J. A. Simpson, 2012, NeuroImage.

A non-Gaussian LCMV beamformer for MEG source reconstruction

Hamid Reza Mohseni, Morten L. Kringelbach, Mark W. Woolrich, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

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

Mark W. Woolrich, Timothy Edward John Behrens, Heidi Johansen-Berg, 2007, NeuroImage.

Ensemble Learning Incorporating Uncertain Registration

Mark W. Woolrich, Julia A. Schnabel, Ivor J. A. Simpson, 2013, IEEE Transactions on Medical Imaging.

Non-linear Parameter Estimates from Non-stationary MEG Data

Mark W. Woolrich, German Castellanos-Dominguez, Gareth Barnes, 2016, Front. Neurosci..

Spectrally resolved fast transient brain states in electrophysiological data

Mark W. Woolrich, Diego Vidaurre, David Dupret, 2016, NeuroImage.

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

Hamid Reza Mohseni, Morten L. Kringelbach, Mark W. Woolrich, 2014, NeuroImage.

Using Gaussian-Process Regression for Meta-Analytic Neuroimaging Inference Based on Sparse Observations

Mark W. Woolrich, Thomas E. Nichols, Stephen M. Smith, 2011, IEEE Transactions on Medical Imaging.

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

Mark W. Woolrich, Matthew J. Brookes, Peter G. Morris, 2014, NeuroImage.

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

Mark W. Woolrich, Stephen J. Payne, Michael A. Chappell, 2012, Medical Image Anal..

Modelling subject variability in the spatial and temporal characteristics of functional modes

Mark W. Woolrich, Stephen M. Smith, Sean P. Fitzgibbon, 2020, NeuroImage.

Multi-subject hierarchical inverse covariance modelling improves estimation of functional brain networks

Mark W. Woolrich, Stephen M. Smith, Pedro A. Valdes-Sosa, 2018, NeuroImage.

Large-scale Probabilistic Functional Modes from resting state fMRI

Mark W. Woolrich, Stephen M. Smith, Mark Jenkinson, 2015, NeuroImage.

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

Hamid Reza Mohseni, Morten L. Kringelbach, Mark W. Woolrich, 2014, NeuroImage.

FSL

Mark W. Woolrich, Mark Jenkinson, Timothy Edward John Behrens, 2012, NeuroImage.

Utility of Partial Correlation for Characterising Brain Dynamics: MVPA-based Assessment of Regularisation and Network Selection

Mark W. Woolrich, Stephen M. Smith, Eugene P. Duff, 2013, 2013 International Workshop on Pattern Recognition in Neuroimaging.

Meaningful design and contrast estimability in FMRI

Mark W. Woolrich, Stephen M. Smith, Mark Jenkinson, 2007, NeuroImage.

Dynamic state allocation for MEG source reconstruction

Hamid Reza Mohseni, Mark W. Woolrich, Matthew J. Brookes, 2013, NeuroImage.

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

Morten L. Kringelbach, Mark W. Woolrich, Gustavo Deco, 2017, NeuroImage.

Altered temporal stability in dynamic neural networks underlies connectivity changes in neurodevelopment

Mark W. Woolrich, Matthew J. Brookes, Elizabeth B. Liddle, 2018, NeuroImage.

Author response: Testing sensory evidence against mnemonic templates

Mark W. Woolrich, Nicholas E. Myers, Mark G. Stokes, 2015 .

Unpacking Transient Event Dynamics in Electrophysiological Power Spectra

Mark W. Woolrich, Matthew J. Brookes, Diego Vidaurre, 2019, Brain Topography.

Network modelling methods for FMRI

Mark W. Woolrich, Stephen M. Smith, Thomas E. Nichols, 2011, NeuroImage.

Bayesian deconvolution fMRI data using bilinear dynamical systems

Mark W. Woolrich, Steve M. Smith, Christian F. Beckmann, 2008, NeuroImage.

Probabilistic non-linear registration with spatially adaptive regularisation

Mark W. Woolrich, Sébastien Ourselin, Marc Modat, 2015, Medical Image Anal..

Temporally unconstrained decoding reveals consistent but time-varying stages of stimulus processing

Mark W. Woolrich, Nicholas E. Myers, Mark G. Stokes, 2018 .

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

Mark W. Woolrich, Diego Vidaurre, Fernando Maestú, 2014, NeuroImage.

Fusion of Magnetometer and Gradiometer Sensors of MEG in the Presence of Multiplicative Error

Hamid Reza Mohseni, Morten L. Kringelbach, Mark W. Woolrich, 2012, IEEE Transactions on Biomedical Engineering.

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

Hamid Reza Mohseni, Morten L. Kringelbach, Mark W. Woolrich, 2015, NeuroImage.

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

Mark W. Woolrich, Timothy Edward John Behrens, Saâd Jbabdi, 2009, NeuroImage.

Constrained linear basis sets for HRF modelling using Variational Bayes

Mark W. Woolrich, Stephen M. Smith, Timothy Edward John Behrens, 2004, NeuroImage.

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

Mark W. Woolrich, Thomas T. Liu, Karl J. Friston, 2012, NeuroImage.

Applying FSL to the FIAC data: model-based and model-free analysis of repetition suppression in an fMRI speech experiment

Mark W. Woolrich, Stephen M. Smith, Mark Jenkinson, 2006 .

Optimising network modelling methods for fMRI

Mark W. Woolrich, Stephen M. Smith, Usama Pervaiz, 2019, NeuroImage.

The relationship between spatial configuration and functional connectivity of brain regions revisited

Mark W. Woolrich, David C. Van Essen, Christian F. Beckmann, 2018, bioRxiv.

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

Mark W. Woolrich, Matthew J. Brookes, Gareth R. Barnes, 2012, NeuroImage.

Longitudinal Brain MRI Analysis with Uncertain Registration

Mark W. Woolrich, Julia A. Schnabel, Ivor J. A. Simpson, 2011, MICCAI.

Inferring task-related networks using independent component analysis in magnetoencephalography

Mark W. Woolrich, Matthew J. Brookes, Peter G. Morris, 2012, NeuroImage.

Discovering dynamic brain networks from big data in rest and task

Mark W. Woolrich, Stephen M. Smith, Diego Vidaurre, 2017, NeuroImage.

Dynamics of large-scale electrophysiological networks: A technical review

Mark W. Woolrich, Matthew J. Brookes, Diego Vidaurre, 2017, NeuroImage.

Erratum to “Bayesian deconvolution of fMRI data using bilinear dynamical systems” [NeuroImage 42 (2008) 1381–1396]

Mark W. Woolrich, Steve M. Smith, Christian F. Beckmann, 2009, NeuroImage.

Robust group analysis using outlier inference

Mark W. Woolrich, M. Woolrich, 2008, NeuroImage.

Task-Evoked Dynamic Network Analysis Through Hidden Markov Modeling

Mark W. Woolrich, Diego Vidaurre, Andrew J. Quinn, 2018, Front. Neurosci..

The FMRIB Variational Bayes Tutorial: Variational Bayesian Inference for a Non-Linear Forward Model

Mark W. Woolrich, Michael A. Chappell, Adrian R. Groves, 2016 .

Transient spectral events in resting state MEG predict individual task responses

Mark W. Woolrich, Diego Vidaurre, Romesh G. Abeysuriya, 2020, NeuroImage.

Optimising network modelling methods for fMRI

Mark W. Woolrich, Stephen M. Smith, Usama Pervaiz, 2020, NeuroImage.

The role of transient spectral ‘bursts’ in functional connectivity: A magnetoencephalography study

Mark W. Woolrich, Matthew J. Brookes, Peter G. Morris, 2020, NeuroImage.

A biophysical model of dynamic balancing of excitation and inhibition in fast oscillatory large-scale networks

Mark W. Woolrich, Matthew J. Brookes, Stamatios N. Sotiropoulos, 2018, PLoS Comput. Biol..

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

Mark W. Woolrich, Eugene P. Duff, Katherine E. Niehaus, 2014, 2014 International Workshop on Pattern Recognition in Neuroimaging.

Behavioural relevance of spontaneous, transient brain network interactions in fMRI

Mark W. Woolrich, Diego Vidaurre, Alberto Llera, 2021, NeuroImage.

EMD: Empirical Mode Decomposition and Hilbert-Huang Spectral Analyses in Python

Mark W. Woolrich, David Dupret, Andrew J. Quinn, 2021, J. Open Source Softw..

Hierarchical modelling of functional brain networks in population and individuals from big fMRI data

Mark W. Woolrich, Weikang Gong, Saad Jbabdi, 2021, NeuroImage.

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

Mark W. Woolrich, Anna C. Nobre, Duncan E. Astle, 2016, The Journal of Neuroscience.

Nonparametric estimation of temporal autocorrelation in FMRI

Mark W. Woolrich, Brian D. Ripley, Stephen M. Smith, 2000, NeuroImage.

Statistical Analysis of fMRI Data

Mark W. Woolrich, Thomas E. Nichols, Christian F. Beckmann, 2009 .

Memory load modulates graded changes in distracter filtering

Mark W. Woolrich, Dante Mantini, Duncan E. Astle, 2015, Front. Hum. Neurosci..

Dissecting beta-state changes during timed movement preparation in Parkinson’s disease

Mark W. Woolrich, Andrew J. Quinn, Anna C. Nobre, 2019, Progress in Neurobiology.

Author response: Fast transient networks in spontaneous human brain activity

Mark W. Woolrich, Matthew J. Brookes, Iead Rezek, 2014 .

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

Mark W. Woolrich, Heidi Johansen-Berg, Paul M. Matthews, 2000 .

The psychological correlates of distinct neural states occurring during wakeful rest

Mark W. Woolrich, Adam Turnbull, Daniel S. Margulies, 2019, bioRxiv.

Short timescale abnormalities in the states of spontaneous synchrony in the functional neural networks in Alzheimer's disease

Mark W. Woolrich, Seppo P. Ahlfors, Jeremy W. Hughes, 2018, NeuroImage: Clinical.

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

Mark W. Woolrich, Clare E. Mackay, Gari D. Clifford, 2014, Behaviour research and therapy.

Spontaneous network activity accounts for variability in stimulus-induced gamma responses

Mark W. Woolrich, Diego Vidaurre, Alfons Schnitzler, 2018, bioRxiv.

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

Mark W. Woolrich, Fernando Maestú, Anna C. Nobre, 2014 .

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

Mark W. Woolrich, Christian F. Beckmann, Salima Makni, 2009 .

The psychological correlates of distinct neural states occurring during wakeful rest

Mark W. Woolrich, Adam Turnbull, Daniel S. Margulies, 2019, Scientific Reports.

Single or Multi-Frequency generators in on-going brain activity: a mechanistic whole-brain model of empirical MEG data

Morten L. Kringelbach, Mark W. Woolrich, Gustavo Deco, 2016, bioRxiv.

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

Mark W. Woolrich, Giles L. Colclough, Duncan E. Astle, 2015, Developmental science.