Mark Woolrich

Mark Woolrich

University of Oxford

H-index: 79

Europe-United Kingdom

About Mark Woolrich

Mark Woolrich, With an exceptional h-index of 79 and a recent h-index of 64 (since 2020), a distinguished researcher at University of Oxford, specializes in the field of Neuroscience, Neuroimaging, Computational Neuroscience, Machine Learning, Brain Networks.

His recent articles reflect a diverse array of research interests and contributions to the field:

osl-dynamics, a toolbox for modeling fast dynamic brain activity

Post-stroke upper limb recovery is correlated with dynamic resting-state network connectivity

Dynamic Network Analysis of Electrophysiological Task Data

Changes in sensorimotor network dynamics in resting-state recordings in Parkinson's Disease

Comparison between EEG and MEG of static and dynamic resting-state networks

The GLM-spectrum

Foundational GPT Model for MEG

The effect of Alzheimer's disease and its progression on pyramidal cell gain and connectivity

Mark Woolrich Information

University

Position

Head of Analysis OHBA

Citations(all)

72752

Citations(since 2020)

35253

Cited By

52776

hIndex(all)

79

hIndex(since 2020)

64

i10Index(all)

185

i10Index(since 2020)

170

Email

University Profile Page

University of Oxford

Google Scholar

View Google Scholar Profile

Mark Woolrich Skills & Research Interests

Neuroscience

Neuroimaging

Computational Neuroscience

Machine Learning

Brain Networks

Top articles of Mark Woolrich

Title

Journal

Author(s)

Publication Date

osl-dynamics, a toolbox for modeling fast dynamic brain activity

Elife

Chetan Gohil

Rukuang Huang

Evan Roberts

Mats WJ van Es

Andrew J Quinn

...

2024/1/29

Post-stroke upper limb recovery is correlated with dynamic resting-state network connectivity

Brain Communications

Chih-Wei Tang

Catharina Zich

Andrew J Quinn

Mark W Woolrich

Shih-Pin Hsu

...

2024

Dynamic Network Analysis of Electrophysiological Task Data

bioRxiv

Chetan Gohil

Oliver Kohl

Rukuang Huang

Mats WJ van Es

Oiwi Parker Jones

...

2024/1/12

Changes in sensorimotor network dynamics in resting-state recordings in Parkinson's Disease

medRxiv

Oliver Kohl

Chetan Gohil

Nahid Zokaei

Michele T Hu

Anna C Nobre

...

2024

Comparison between EEG and MEG of static and dynamic resting-state networks

bioRxiv

SungJun Cho

Mats WJ van Es

Mark W Woolrich

Chetan Gohil

2024

The GLM-spectrum

Imaging

Andrew J Quinn

Lauren Z Atkinson

Chetan Gohil

Oliver Kohl

Jemma Pitt

...

2024

Foundational GPT Model for MEG

arXiv preprint arXiv:2404.09256

Richard Csaky

Mats WJ van Es

Oiwi Parker Jones

Mark Woolrich

2024/4/14

The effect of Alzheimer's disease and its progression on pyramidal cell gain and connectivity

medRxiv

Juliette Helene Lanskey

Amirhossein Jafarian

Melek Karadag

Ece Kocagoncu

Rebecca Williams

...

2024

The GLM-Spectrum: A multilevel framework for spectrum analysis with covariate and confound modelling

Imaging Neuroscience

Andrew J Quinn

Lauren Z Atkinson

Chetan Gohil

Oliver Kohl

Jemma Pitt

...

2024/2/2

Modelling variability in dynamic functional brain networks using embeddings

bioRxiv

Rukuang Huang

Chetan Gohil

Mark W Woolrich

2024

Reduced coupling between offline neural replay events and default mode network activation in schizophrenia

Brain Communications

Matthew M Nour

Yunzhe Liu

Cameron Higgins

Mark W Woolrich

Raymond J Dolan

2023/4/1

Imaging Neuroscience opening editorial

Stephen Smith

Til Ole Bergmann

Birte Forstmann

Alain Dagher

Shella Keilholz

...

2023/8/10

Group‐level brain decoding with deep learning

Human Brain Mapping

Richard Csaky

Mats WJ Van Es

Oiwi Parker Jones

Mark Woolrich

2023/12/1

Stacking models of brain dynamics improves prediction of subject traits in fMRI

bioRxiv

Ben Griffin

Christine Ahrends

Fidel Alfaro-Almagro

Mark Woolrich

Stephen Smith

...

2023

Interpretable full-epoch multiclass decoding for m/eeg

bioRxiv

Richard Csaky

Mats WJ van Es

Oiwi Parker Jones

Mark Woolrich

2023/3/13

Dissecting unsupervised learning through hidden Markov modeling in electrophysiological data

Journal of Neurophysiology

Laura Masaracchia

Felipe Fredes

Mark W Woolrich

Diego Vidaurre

2023/8/1

Interpretable many-class decoding for MEG

NeuroImage

Richard Csaky

Mats WJ van Es

Oiwi Parker Jones

Mark Woolrich

2023/11/15

Reliability of dynamic causal modelling of resting state magnetoencephalography

bioRxiv

Amirhossein Jafarian

Melek Karadag Assem

Ece Ece Kocagoncu

Juliette H Lanskey

Rebecca Williams

...

2023

Predicting individual traits from models of brain dynamics accurately and reliably using the Fisher kernel

Biorxiv

Christine Ahrends

M Woolrich

D Vidaurre

2023/3/2

A data-driven network description of the event-related waves in a working memory task: a magnetoencephalographic study.

Chiara Rossi

Diego Vidaurre

Lars Costers

Fahimeh Akbarian

Mark Woolrich

...

2023/7/1

See List of Professors in Mark Woolrich University(University of Oxford)

Co-Authors

H-index: 153
Stephen M. Smith

Stephen M. Smith

University of Oxford

H-index: 118
Tim Behrens

Tim Behrens

University of Oxford

H-index: 106
Thomas E. Nichols

Thomas E. Nichols

University of Oxford

H-index: 99
Christian F. Beckmann

Christian F. Beckmann

Radboud Universiteit

H-index: 86
Peter Jezzard

Peter Jezzard

University of Oxford

H-index: 85
Saad Jbabdi

Saad Jbabdi

University of Oxford

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