Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
363-01-006 ISMRM Abstract

Linking physiological phenotypes to brain microstructure in the UK Biobank

Accepted
Daniel Kor1, Hossein Rafipoor1, Michiel Cottaar1, Saad Jbabdi1, Karla L Miller1, Amy Howard 1,2
1Oxford Centre for Integrative Neuroimaging (FMRIB Centre), University of Oxford, Oxford, United Kingdom
2Department of Bioengineering, Imperial College London, London, United Kingdom
Presenting Author: Amy Howard

Synopsis

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References

1. Jelescu IO, Veraart J, Fieremans E, Novikov DS. Degeneracy in model parameter estimation for multi-compartmental diffusion in neuronal tissue. NMR Biomed. 2016;29(1):33-47. doi:10.1002/nbm.3450 [doi]
2. Rafipoor H, Zheng YQ, Griffanti L, Jbabdi S, Cottaar M. Identifying microstructural changes in diffusion MRI; How to circumvent parameter degeneracy. NeuroImage. 2022;260:119452. doi:10.1016/j.neuroimage.2022.119452 [doi]
3. Kor DZL, Rafipoor H, Huszar IN, et al. Linking microscopy to diffusion MRI with degenerate biophysical models: An application of the Bayesian EstimatioN of CHange (BENCH) framework. Imaging Neuroscience. 2025;3:IMAG.a.85. doi:10.1162/IMAG.a.85 [doi]
4. Sudlow C, Gallacher J, Allen N, et al. UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age. PLOS Medicine. 2015;12(3):e1001779. doi:10.1371/journal.pmed.1001779 [doi]
5. Miller KL, Alfaro-Almagro F, Bangerter NK, et al. Multimodal population brain imaging in the UK Biobank prospective epidemiological study. Nat Neurosci. 2016;19(11):1523-1536. doi:10.1038/nn.4393 [doi]
6. Alotaibi A, Alqarras M, Podlasek A, et al. White Matter Microstructural Alterations in Type 2 Diabetes: A Combined UK Biobank Study of Diffusion Tensor Imaging and Neurite Orientation Dispersion and Density Imaging. Medicina (Kaunas). 2025;61(3):455. doi:10.3390/medicina61030455 [doi]
7. Wartolowska KA, Webb AJ. White matter damage due to pulsatile versus steady blood pressure differs by vascular territory: A cross-sectional analysis of the UK Biobank cohort study. J Cereb Blood Flow Metab. 2022;42(5):802-810. doi:10.1177/0271678X211058803 [doi]
8. McCarthy P. Funpack [computer program]. Published April 2023. Accessed September 21, 2023. https://zenodo.org/record/7837337
9. Alfaro-Almagro F, McCarthy P, Afyouni S, et al. Confound modelling in UK Biobank brain imaging. NeuroImage. 2021;224:117002. doi:10.1016/j.neuroimage.2020.117002 [doi]
10. Novikov DS, Fieremans E, Jespersen SN, Kiselev VG. Quantifying brain microstructure with diffusion MRI: Theory and parameter estimation. NMR Biomed. 2019 Apr;32(4):e3998. doi: 10.1002/nbm.3998 [doi]
11. Hua K, Zhang J, Wakana S, et al. Tract Probability Maps in Stereotaxic Spaces: Analyses of White Matter Anatomy and Tract-Specific Quantification. Neuroimage. 2008;39(1):336-347. doi:10.1016/j.neuroimage.2007.07.053 [doi]
12. Wakana S, Caprihan A, Panzenboeck MM, et al. Reproducibility of quantitative tractography methods applied to cerebral white matter. Neuroimage. 2007;36(3):630-644. doi:10.1016/j.neuroimage.2007.02.049 [doi]
13. Oparil S, Acelajado MC, Bakris GL, et al. Hypertension. Nat Rev Dis Primers. 2018;4:18014. doi:10.1038/nrdp.2018.14 [doi]
14. Acosta JN, Haider SP, Rivier C, Leasure AC, Sheth KN, Falcone GJ, Payabvash S. Blood pressure-related white matter microstructural disintegrity and associated cognitive function impairment in asymptomatic adults. Stroke Vasc Neurol. 2023 Oct;8(5):358-367. doi: 10.1136/svn-2022-001929. [doi]
15. Cox SR, Lyall DM, Ritchie SJ, Bastin ME, Harris MA, Buchanan CR, Fawns-Ritchie C, Barbu MC, de Nooij L, Reus LM, Alloza C, Shen X, Neilson E, Alderson HL, Hunter S, Liewald DC, Whalley HC, McIntosh AM, Lawrie SM, Pell JP, Tucker-Drob EM, Wardlaw JM, Gale CR, Deary IJ. Associations between vascular risk factors and brain MRI indices in UK Biobank. Eur Heart J. 2019 Jul 21;40(28):2290-2300. doi: 10.1093/eurheartj/ehz100. [doi]
16. Zhang H, Schneider T, Wheeler-Kingshott CA, Alexander DC. NODDI: practical in vivo neurite orientation dispersion and density imaging of the human brain. Neuroimage. 2012 Jul 16;61(4):1000-16. doi: 10.1016/j.neuroimage.2012.03.072. [doi]

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