Diego Vidaurre
Diego Vidaurre
University of Oxford, Department of Psychiatry
Verified email at ohba.ox.ac.uk
TitleCited byYear
Functional connectomics from resting-state fMRI
SM Smith, D Vidaurre, CF Beckmann, MF Glasser, M Jenkinson, KL Miller, ...
Trends in cognitive sciences 17 (12), 666-682, 2013
A positive-negative mode of population covariation links brain connectivity, demographics and behavior
SM Smith, TE Nichols, D Vidaurre, AM Winkler, TEJ Behrens, MF Glasser, ...
Nature neuroscience 18 (11), 1565, 2015
Brain network dynamics are hierarchically organized in time
D Vidaurre, SM Smith, MW Woolrich
Proceedings of the National Academy of Sciences 114 (48), 12827-12832, 2017
Image processing and quality control for the first 10,000 brain imaging datasets from UK Biobank
F Alfaro-Almagro, M Jenkinson, NK Bangerter, JLR Andersson, L Griffanti, ...
Neuroimage 166, 400-424, 2018
Spectrally resolved fast transient brain states in electrophysiological data
D Vidaurre, AJ Quinn, AP Baker, D Dupret, A Tejero-Cantero, ...
Neuroimage 126, 81-95, 2016
Multi-level block permutation
AM Winkler, MA Webster, D Vidaurre, TE Nichols, SM Smith
Neuroimage 123, 253-268, 2015
Discovering dynamic brain networks from big data in rest and task
D Vidaurre, R Abeysuriya, R Becker, AJ Quinn, F Alfaro-Almagro, ...
Neuroimage 180, 646-656, 2018
A Survey of L1 Regression
D Vidaurre, C Bielza, P Larrañaga
International Statistical Review 81 (3), 361-387, 2013
Spontaneous cortical activity transiently organises into frequency specific phase-coupling networks
D Vidaurre, LT Hunt, AJ Quinn, BAE Hunt, MJ Brookes, AC Nobre, ...
Nature communications 9 (1), 2987, 2018
Cognitive performance in healthy older adults relates to spontaneous switching between states of functional connectivity during rest
J Cabral, D Vidaurre, P Marques, R Magalhães, PS Moreira, JM Soares, ...
Scientific reports 7 (1), 5135, 2017
Dynamics of large-scale electrophysiological networks: A technical review
GC O'Neill, P Tewarie, D Vidaurre, L Liuzzi, MW Woolrich, MJ Brookes
Neuroimage 180, 559-576, 2018
Guiding functional connectivity estimation by structural connectivity in MEG: an application to discrimination of conditions of mild cognitive impairment
JA Pineda-Pardo, R Bruña, M Woolrich, A Marcos, AC Nobre, F Maestú, ...
Neuroimage 101, 765-777, 2014
Learning an L1-regularized Gaussian Bayesian network in the equivalence class space
D Vidaurre, C Bielza, P Larrañaga
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 40 …, 2010
A quick assessment of topology preservation for SOM structures
D Vidaurre, J Muruzabal
IEEE Transactions on Neural Networks 18 (5), 1524-1528, 2007
Classification of neural signals from sparse autoregressive features
D Vidaurre, C Bielza, P Larrañaga
Neurocomputing 111, 21-26, 2013
On the nature of resting fMRI and time-varying functional connectivity
D Lurie, D Kessler, D Bassett, RF Betzel, M Breakspear, S Keilholz, ...
PsyArXiv Preprints, 2018
Lazy lasso for local regression
D Vidaurre, C Bielza, P Larrañaga
Computational Statistics 27 (3), 531-550, 2012
Transient visual pathway critical for normal development of primate grasping behavior
IC Mundinano, DM Fox, WC Kwan, D Vidaurre, L Teo, J Homman-Ludiye, ...
Proceedings of the National Academy of Sciences 115 (6), 1364-1369, 2018
Estimation of brain age delta from brain imaging
SM Smith, D Vidaurre, F Alfaro-Almagro, TE Nichols, KL Miller
NeuroImage, 2019
Bayesian sparse partial least squares
D Vidaurre, MAJ van Gerven, C Bielza, P Larrañaga, T Heskes
Neural computation 25 (12), 3318-3339, 2013
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