Multimodal population brain imaging in the UK Biobank prospective epidemiological study Nature Neuroscience, 2016 | 1746 | 2016 |
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 (1 February 2018), 400-424, 2017 | 1281 | 2017 |
SARS-CoV-2 is associated with changes in brain structure in UK Biobank G Douaud, S Lee, F Alfaro-Almagro, C Arthofer, C Wang, P McCarthy, ... Nature 604 (7907), 697-707, 2022 | 1272 | 2022 |
Medium-term effects of SARS-CoV-2 infection on multiple vital organs, exercise capacity, cognition, quality of life and mental health, post-hospital discharge B Raman, MP Cassar, EM Tunnicliffe, N Filippini, L Griffanti, ... EClinicalMedicine 31, 2021 | 705 | 2021 |
Genome-wide association studies of brain imaging phenotypes in UK Biobank LT Elliott, K Sharp, F Alfaro-Almagro, S Shi, KL Miller, G Douaud, ... Nature 562 (7726), 210-216, 2018 | 700 | 2018 |
Hand classification of fMRI ICA noise components L Griffanti, G Douaud, J Bijsterbosch, S Evangelisti, F Alfaro-Almagro, ... Neuroimage 154, 188-205, 2017 | 566 | 2017 |
The UK Biobank imaging enhancement of 100,000 participants: rationale, data collection, management and future directions TJ Littlejohns, J Holliday, LM Gibson, S Garratt, N Oesingmann, ... Nature communications 11 (1), 2624, 2020 | 555 | 2020 |
Estimation of brain age delta from brain imaging SM Smith, D Vidaurre, F Alfaro-Almagro, TE Nichols, KL Miller Neuroimage 200, 528-539, 2019 | 327 | 2019 |
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 | 310 | 2018 |
An expanded set of genome-wide association studies of brain imaging phenotypes in UK Biobank SM Smith, G Douaud, W Chen, T Hanayik, F Alfaro-Almagro, K Sharp, ... Nature neuroscience 24 (5), 737-745, 2021 | 307 | 2021 |
BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods KJ Gorgolewski, F Alfaro-Almagro, T Auer, P Bellec, M Capotă, ... PLoS computational biology 13 (3), e1005209, 2017 | 305 | 2017 |
Automated quality control for within and between studies diffusion MRI data using a non-parametric framework for movement and distortion correction M Bastiani, M Cottaar, SP Fitzgibbon, S Suri, F Alfaro-Almagro, ... Neuroimage 184, 801-812, 2019 | 267 | 2019 |
Confound modelling in UK Biobank brain imaging F Alfaro-Almagro, P McCarthy, S Afyouni, JLR Andersson, M Bastiani, ... NeuroImage 224, 117002, 2021 | 191 | 2021 |
Hippocampal volume across age: Nomograms derived from over 19,700 people in UK Biobank L Nobis, SG Manohar, SM Smith, F Alfaro-Almagro, M Jenkinson, ... NeuroImage: Clinical 23, 101904, 2019 | 178 | 2019 |
Handedness, language areas and neuropsychiatric diseases: insights from brain imaging and genetics A Wiberg, M Ng, Y Al Omran, F Alfaro-Almagro, P McCarthy, J Marchini, ... Brain 142 (10), 2938-2947, 2019 | 160 | 2019 |
Brain aging comprises many modes of structural and functional change with distinct genetic and biophysical associations SM Smith, LT Elliott, F Alfaro-Almagro, P McCarthy, TE Nichols, G Douaud, ... elife 9, e52677, 2020 | 157 | 2020 |
The human cerebral cortex flattens during adolescence Y Alemán-Gómez, J Janssen, H Schnack, E Balaban, L Pina-Camacho, ... Journal of Neuroscience 33 (38), 15004-15010, 2013 | 134 | 2013 |
Brain imaging before and after COVID-19 in UK Biobank G Douaud, S Lee, F Alfaro-Almagro, C Arthofer, C Wang, P McCarthy, ... MedRxiv, 2021.06. 11.21258690, 2021 | 112 | 2021 |
Investigations into within-and between-subject resting-state amplitude variations J Bijsterbosch, S Harrison, E Duff, F Alfaro-Almagro, M Woolrich, S Smith Neuroimage 159, 57-69, 2017 | 95 | 2017 |
Common genetic variation indicates separate causes for periventricular and deep white matter hyperintensities NJ Armstrong, KA Mather, M Sargurupremraj, MJ Knol, R Malik, ... Stroke 51 (7), 2111-2121, 2020 | 91 | 2020 |