The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank
Open accessAbstract
UK Biobank is a large-scale prospective epidemiological study with all data accessible to researchers worldwide. It is currently in the process of bringing back 100,000 of the original participants for brain, heart and body MRI, carotid ultrasound and low-dose bone/fat x-ray. The brain imaging component covers 6 modalities (T1, T2 FLAIR, susceptibility weighted MRI, Resting fMRI, Task fMRI and Diffusion MRI). Raw and processed data from the first 10,000 imaged subjects has recently been released for general research access. To help convert this data into useful summary information we have developed an automated processing and QC (Quality Control) pipeline that is available for use by other researchers. In this paper we describe the pipeline in detail, following a brief overview of UK Biobank brain imaging and the acquisition protocol. We also describe several quantitative investigations carried out as part of the development of both the imaging protocol and the processing pipeline.
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Self-citationMultimodal population brain imaging in the UK Biobank prospective epidemiological study
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Self-citationResting-state fMRI in the human connectome project
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Cited by
fMRIPrep: A robust preprocessing pipeline for functional MRI
Esteban, O., Markiewicz, C. J., Blair, R. W., Moodie, C. A., Isik, A. I., Erramuzpe, A., Kent, J. D., Goncalves, M., DuPre, E., Snyder, M., et al. (2019) · Nature Methods · doi:10.1038/s41592-018-0235-4 · Cited by 3,905
SARS-CoV-2 is associated with changes in brain structure in UK Biobank
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Self-citationSex Differences in the Adult Human Brain: Evidence from 5216 UK Biobank Participants
Ritchie, S. J., Cox, S. R., Shen, X., Lombardo, M. V., Reus, L. M., Alloza, C., Harris, M. A., Alderson, H. L., Hunter, S., Neilson, E., et al. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy109 · Cited by 855
“However, visual quality control was not systematically undertaken by the UK Biobank team; this would be unfeasible due to the very large sample size (Alfaro-Almagro et al. 2018).”
BackgroundGenome-wide association studies of brain imaging phenotypes in UK Biobank
Elliott, L. T., Sharp, K., Alfaro-Almagro, F., Shi, S., Miller, K. L., Douaud, G., Marchini, J., & Smith, S. M. (2018) · Nature · doi:10.1038/s41586-018-0571-7 · Cited by 834
Self-citationLittlejohns, T. J., Holliday, J., Gibson, L. M., Garratt, S., Oesingmann, N., Alfaro-Almagro, F., Bell, J. D., Boultwood, C., Collins, R., Conroy, M. C., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-15948-9 · Cited by 812
Self-citation
Metadata
- Authors
- Alfaro-Almagro, F., Jenkinson, M., Bangerter, N. K., Andersson, J. L. R., Griffanti, L., Douaud, G., Sotiropoulos, S. N., Jbabdi, S., Hernandez-Fernandez, M., Vallee, E., Vidaurre, D., Webster, M., McCarthy, P., Rorden, C., Daducci, A., Alexander, D. C., Zhang, H., Dragonu, I., Matthews, P. M., Miller, K. L., & Smith, S. M.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2018-02
- Volume
- 166
- Pages
- 400-424
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2607804943
- Cited by
- 1,557
- References
- 13
- FWCI
- 43.17
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Alfaro-Almagro, F., Jenkinson, M., Bangerter, N. K., Andersson, J. L. R., Griffanti, L., Douaud, G., Sotiropoulos, S. N., Jbabdi, S., Hernandez-Fernandez, M., Vallee, E., Vidaurre, D., Webster, M., McCarthy, P., Rorden, C., Daducci, A., Alexander, D. C., Zhang, H., Dragonu, I., Matthews, P. M., . . . Smith, S. M. (2018). Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank. NeuroImage. https://doi.org/10.1016/j.neuroimage.2017.10.034
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