Full Text Journal Articles by
Author Mark W Woolrich

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Modelling Subject Variability in the Spatial and Temporal Characteristics of Functional Modes.

Samuel J Harrison, Janine D Bijsterboch, Andrew R Segerdahl, Sean P Fitzgibbon, Seyedeh-Rezvan Farahibozorg, Eugene P Duff, Stephen M Smith, Mark W Woolrich,

Recent work has highlighted the scale and ubiquity of subject variability in observations from functional MRI data (fMRI). Furthermore, it is highly likely that errors in the estimation of either the spatial presentation of, or the coupling between, functional regions can confound cross-subject analyses, making accurate and unbiased representations of ... Read more >>

Neuroimage (NeuroImage)
[2020, :117226]

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Tau pathology in early Alzheimer's disease is linked to selective disruptions in neurophysiological network dynamics.

Ece Kocagoncu, Andrew Quinn, Azadeh Firouzian, Elisa Cooper, Andrea Greve, Roger Gunn, Gary Green, Mark W Woolrich, Richard N Henson, Simon Lovestone, , James B Rowe,

Understanding the role of Tau protein aggregation in the pathogenesis of Alzheimer's disease is critical for the development of new Tau-based therapeutic strategies to slow or prevent dementia. We tested the hypothesis that Tau pathology is associated with functional organization of widespread neurophysiological networks. We used electro-magnetoencephalography with [18F]AV-1451 PET ... Read more >>

Neurobiol. Aging (Neurobiology of aging)
[2020, 92:141-152]

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Optimising network modelling methods for fMRI.

Usama Pervaiz, Diego Vidaurre, Mark W Woolrich, Stephen M Smith,

A major goal of neuroimaging studies is to develop predictive models to analyze the relationship between whole brain functional connectivity patterns and behavioural traits. However, there is no single widely-accepted standard pipeline for analyzing functional connectivity. The common procedure for designing functional connectivity based predictive models entails three main steps: ... Read more >>

Neuroimage (NeuroImage)
[2020, 211:116604]

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The role of transient spectral 'bursts' in functional connectivity: A magnetoencephalography study.

Zelekha A Seedat, Andrew J Quinn, Diego Vidaurre, Lucrezia Liuzzi, Lauren E Gascoyne, Benjamin A E Hunt, George C O'Neill, Daisie O Pakenham, Karen J Mullinger, Peter G Morris, Mark W Woolrich, Matthew J Brookes,

Neural oscillations dominate electrophysiological measures of macroscopic brain activity and fluctuations in these rhythms offer an insightful window on cortical excitation, inhibition, and connectivity. However, in recent years the 'classical' picture of smoothly varying oscillations has been challenged by the idea that many 'oscillations' may actually be formed from the ... Read more >>

Neuroimage (NeuroImage)
[2020, 209:116537]

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

Simone G Heideman, Andrew J Quinn, Mark W Woolrich, Freek van Ede, Anna C Nobre,

An emerging perspective describes beta-band (15-28 Hz) activity as consisting of short-lived high-amplitude events that only appear sustained in conventional measures of trial-average power. This has important implications for characterising abnormalities observed in beta-band activity in disorders like Parkinson's disease. Measuring parameters associated with beta-event dynamics may yield more sensitive measures, ... Read more >>

Prog. Neurobiol. (Progress in neurobiology)
[2020, 184:101731]

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Unpacking Transient Event Dynamics in Electrophysiological Power Spectra.

Andrew J Quinn, Freek van Ede, Matthew J Brookes, Simone G Heideman, Magdalena Nowak, Zelekha A Seedat, Diego Vidaurre, Catharina Zich, Anna C Nobre, Mark W Woolrich,

Electrophysiological recordings of neuronal activity show spontaneous and task-dependent changes in their frequency-domain power spectra. These changes are conventionally interpreted as modulations in the amplitude of underlying oscillations. However, this overlooks the possibility of underlying transient spectral 'bursts' or events whose dynamics can map to changes in trial-average spectral power ... Read more >>

Brain Topogr (Brain topography)
[2019, 32(6):1020-1034]

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Author Correction: A tool for functional brain imaging with lifespan compliance.

Ryan M Hill, Elena Boto, Niall Holmes, Caroline Hartley, Zelekha A Seedat, James Leggett, Gillian Roberts, Vishal Shah, Tim M Tierney, Mark W Woolrich, Charlotte J Stagg, Gareth R Barnes, Richard Bowtell, Rebeccah Slater, Matthew J Brookes,

An amendment to this paper has been published and can be accessed via a link at the top of the paper. ... Read more >>

Nat Commun (Nature communications)
[2019, 10(1):5628]

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A tool for functional brain imaging with lifespan compliance.

Ryan M Hill, Elena Boto, Niall Holmes, Caroline Hartley, Zelekha A Seedat, James Leggett, Gillian Roberts, Vishal Shah, Tim M Tierney, Mark W Woolrich, Charlotte J Stagg, Gareth R Barnes, Richard Bowtell, Rebeccah Slater, Matthew J Brookes,

The human brain undergoes significant functional and structural changes in the first decades of life, as the foundations for human cognition are laid down. However, non-invasive imaging techniques to investigate brain function throughout neurodevelopment are limited due to growth in head-size with age and substantial head movement in young participants. ... Read more >>

Nat Commun (Nature communications)
[2019, 10(1):4785]

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Post-stimulus beta responses are modulated by task duration.

Daisie O Pakenham, Andrew J Quinn, Adam Fry, Susan T Francis, Mark W Woolrich, Matthew J Brookes, Karen J Mullinger,

Modulation of beta-band neural oscillations during and following movement is a robust marker of brain function. In particular, the post-movement beta rebound (PMBR), which occurs on movement cessation, has been related to inhibition and connectivity in the healthy brain, and is perturbed in disease. However, to realise the potential of ... Read more >>

Neuroimage (NeuroImage)
[2020, 206:116288]

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

Lucrezia Liuzzi, Andrew J Quinn, George C O'Neill, Mark W Woolrich, Matthew J Brookes, Arjan Hillebrand, Prejaas Tewarie,

Despite advances in the field of dynamic connectivity, fixed sliding window approaches for the detection of fluctuations in functional connectivity are still widely used. The use of conventional connectivity metrics in conjunction with a fixed sliding window comes with the arbitrariness of the chosen window lengths. In this paper we ... Read more >>

Front Neurosci (Frontiers in neuroscience)
[2019, 13:797]

Cited: 1 time

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

Martin Sjøgård, Xavier De Tiège, Alison Mary, Philippe Peigneux, Serge Goldman, Guy Nagels, Jeroen van Schependom, Andrew J Quinn, Mark W Woolrich, Vincent Wens,

The default-mode network (DMN) and its principal core hubs in the posterior midline cortices (PMC), i.e., the precuneus and the posterior cingulate cortex, play a critical role in the human brain structural and functional architecture. Because of their centrality, they are affected by a wide spectrum of brain disorders, e.g., ... Read more >>

Neuroimage (NeuroImage)
[2019, 200:221-230]

Cited: 3 times

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

Prejaas Tewarie, Lucrezia Liuzzi, George C O'Neill, Andrew J Quinn, Alessandra Griffa, Mark W Woolrich, Cornelis J Stam, Arjan Hillebrand, Matthew J Brookes,

Fluctuations in functional interactions between brain regions typically occur at the millisecond time scale. Conventional connectivity metrics are not adequately time-resolved to detect such fast fluctuations in functional connectivity. At the same time, attempts to use conventional metrics in a time-resolved manner usually come with the selection of sliding windows ... Read more >>

Neuroimage (NeuroImage)
[2019, 200:38-50]

Cited: 1 time

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Biomagnetic biomarkers for dementia: A pilot multicentre study with a recommended methodological framework for magnetoencephalography.

Laura E Hughes, Richard N Henson, Ernesto Pereda, Ricardo Bruña, David López-Sanz, Andrew J Quinn, Mark W Woolrich, Anna C Nobre, James B Rowe, Fernando Maestú, ,

Introduction:An increasing number of studies are using magnetoencephalography (MEG) to study dementia. Here we define a common methodological framework for MEG resting-state acquisition and analysis to facilitate the pooling of data from different sites. Methods:Two groups of patients with mild cognitive impairment (MCI, n = 84) and healthy controls (n = 84) were combined ... Read more >>

Alzheimers Dement (Amst) (Alzheimer's & dementia (Amsterdam, Netherlands))
[2019, 11:450-462]

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

Janine Diane Bijsterbosch, Christian F Beckmann, Mark W Woolrich, Stephen M Smith, Samuel J Harrison,

Previously we showed that network-based modelling of brain connectivity interacts strongly with the shape and exact location of brain regions, such that cross-subject variations in the spatial configuration of functional brain regions are being interpreted as changes in functional connectivity (Bijsterbosch et al., 2018). Here we show that these spatial ... Read more >>

Elife (eLife)
[2019, 8:]

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Temporally Unconstrained Decoding Reveals Consistent but Time-Varying Stages of Stimulus Processing.

Diego Vidaurre, Nicholas E Myers, Mark Stokes, Anna C Nobre, Mark W Woolrich,

In this article, we propose a method to track trial-specific neural dynamics of stimulus processing and decision making with high temporal precision. By applying this novel method to a perceptual template-matching task, we tracked representational brain states associated with the cascade of neural processing, from early sensory areas to higher ... Read more >>

Cereb. Cortex (Cerebral cortex (New York, N.Y. : 1991))
[2019, 29(2):863-874]

Cited: 2 times

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Stable between-subject statistical inference from unstable within-subject functional connectivity estimates.

Diego Vidaurre, Mark W Woolrich, Anderson M Winkler, Theodoros Karapanagiotidis, Jonathan Smallwood, Thomas E Nichols,

Spatial or temporal aspects of neural organization are known to be important indices of how cognition is organized. However, measurements and estimations are often noisy and many of the algorithms used are probabilistic, which in combination have been argued to limit studies exploring the neural basis of specific aspects of ... Read more >>

Hum Brain Mapp (Human brain mapping)
[2019, 40(4):1234-1243]

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Task-Evoked Dynamic Network Analysis Through Hidden Markov Modeling.

Andrew J Quinn, Diego Vidaurre, Romesh Abeysuriya, Robert Becker, Anna C Nobre, Mark W Woolrich,

Complex thought and behavior arise through dynamic recruitment of large-scale brain networks. The signatures of this process may be observable in electrophysiological data; yet robust modeling of rapidly changing functional network structure on rapid cognitive timescales remains a considerable challenge. Here, we present one potential solution using Hidden Markov Models ... Read more >>

Front Neurosci (Frontiers in neuroscience)
[2018, 12:603]

Cited: 2 times

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

Huiling Tan, Petra Fischer, Syed A Shah, Diego Vidaurre, Mark W Woolrich, Peter Brown,

Gait disturbances are a prominent feature of Parkinson's disease (PD), often refractory to medication or continuous deep brain stimulation (DBS) on basal ganglia targets such as the subthalamic nucleus (STN). Here we sought to identify movement states during stepping cycles, such as left leg stance and right leg stance. To ... Read more >>

Conf Proc IEEE Eng Med Biol Soc (Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference)
[2018, 2018:1384-1387]

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

Diego Vidaurre, Laurence T Hunt, Andrew J Quinn, Benjamin A E Hunt, Matthew J Brookes, Anna C Nobre, Mark W Woolrich,

Frequency-specific oscillations and phase-coupling of neuronal populations are essential mechanisms for the coordination of activity between brain areas during cognitive tasks. Therefore, the ongoing activity ascribed to the different functional brain networks should also be able to reorganise and coordinate via similar mechanisms. We develop a novel method for identifying ... Read more >>

Nat Commun (Nature communications)
[2018, 9(1):2987]

Cited: 18 times

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

Giles L Colclough, Mark W Woolrich, Samuel J Harrison, Pedro A Rojas López, Pedro A Valdes-Sosa, Stephen M Smith,

A Bayesian model for sparse, hierarchical, inver-covariance estimation is presented, and applied to multi-subject functional connectivity estimation in the human brain. It enables simultaneous inference of the strength of connectivity between brain regions at both subject and population level, and is applicable to fMRI, MEG and EEG data. Two versions ... Read more >>

Neuroimage (NeuroImage)
[2018, 178:370-384]

Cited: 2 times

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Neural Oscillations: Sustained Rhythms or Transient Burst-Events?

Freek van Ede, Andrew J Quinn, Mark W Woolrich, Anna C Nobre,

Frequency-specific patterns of neural activity are increasingly interpreted as transient bursts of isolated events rather than as rhythmically sustained oscillations. This has potentially far-reaching implications for theories of how such oscillations originate and how they shape neural computations. As this debate unfolds, we explore alternative interpretations and ask how best ... Read more >>

Trends Neurosci. (Trends in neurosciences)
[2018, 41(7):415-417]

Cited: 11 times

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

Tatiana A Sitnikova, Jeremy W Hughes, Seppo P Ahlfors, Mark W Woolrich, David H Salat,

Alzheimer's disease (AD) is a prevalent neurodegenerative condition that can lead to severe cognitive and functional deterioration. Functional magnetic resonance imaging (fMRI) revealed abnormalities in AD in intrinsic synchronization between spatially separate regions in the so-called default mode network (DMN) of the brain. To understand the relationship between this disruption ... Read more >>

Neuroimage Clin (NeuroImage. Clinical)
[2018, 20:128-152]

Cited: 1 time

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Directed functional connectivity using dynamic graphical models.

Simon Schwab, Ruth Harbord, Valerio Zerbi, Lloyd Elliott, Soroosh Afyouni, Jim Q Smith, Mark W Woolrich, Stephen M Smith, Thomas E Nichols,

There are a growing number of neuroimaging methods that model spatio-temporal patterns of brain activity to allow more meaningful characterizations of brain networks. This paper proposes dynamic graphical models (DGMs) for dynamic, directed functional connectivity. DGMs are a multivariate graphical model with time-varying coefficients that describe instantaneous directed relationships between ... Read more >>

Neuroimage (NeuroImage)
[2018, 175:340-353]

Cited: 2 times

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Increased cerebral functional connectivity in ALS: A resting-state magnetoencephalography study.

Malcolm Proudfoot, Giles L Colclough, Andrew Quinn, Joanne Wuu, Kevin Talbot, Michael Benatar, Anna C Nobre, Mark W Woolrich, Martin R Turner,

OBJECTIVE:We sought to assess cortical function in amyotrophic lateral sclerosis (ALS) using noninvasive neural signal recording. METHODS:Resting-state magnetoencephalography was used to measure power fluctuations in neuronal oscillations from distributed cortical parcels in 24 patients with ALS and 24 healthy controls. A further 9 patients with primary lateral sclerosis and a ... Read more >>

Neurology (Neurology)
[2018, 90(16):e1418-e1424]

Cited: 6 times

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Disambiguating brain functional connectivity.

Eugene P Duff, Tamar Makin, Michiel Cottaar, Stephen M Smith, Mark W Woolrich,

Functional connectivity (FC) analyses of correlations of neural activity are used extensively in neuroimaging and electrophysiology to gain insights into neural interactions. However, analyses assessing changes in correlation fail to distinguish effects produced by sources as different as changes in neural signal amplitudes or noise levels. This ambiguity substantially diminishes ... Read more >>

Neuroimage (NeuroImage)
[2018, 173:540-550]

Cited: 9 times

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