Journal
NATURE COMMUNICATIONS
Volume 7, Issue -, Pages -Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/ncomms13629
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Funding
- University of Edinburgh Centre for Cognitive Ageing and Cognitive Epidemiology (CCACE), cross-council Lifelong Health and Wellbeing Initiative [10279, MR/K026992/1]
- Biotechnology and Biological Sciences Research Council (BBSRC)
- Medical Research Council (MRC)
- MRC [MR/M013111/1]
- Medical Research Council [MR/K026992/1]
- Dementias Platform UK [MR/L015382/1]
- Age UK
- Boehringer Ingelheim Fonds
- National Institutes of Health (NIH) [HD083613, HD081437, AA023322]
- NIH centre grant [HD042849]
- Scottish Imaging Network: A Platform for Scientific Excellence (SINAPSE) collaboration
- MRC [MC_UP_A620_1015, MR/M013111/1, G0400491, MC_UU_12011/2, MC_U147585827, MC_U147585819] Funding Source: UKRI
- Medical Research Council [U1475000002, MC_UP_A620_1014, MR/K026992/1, MC_U147585819, MC_U147585827, MC_U147585824, G0400491, MC_qA137853, MC_UU_12011/2, MC_UU_12011/1, MR/M013111/1, U1475000001, 1578661, MC_UP_A620_1015] Funding Source: researchfish
- National Institute for Health Research [NF-SI-0508-10082, NF-SI-0513-10085] Funding Source: researchfish
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Quantifying the microstructural properties of the human brain's connections is necessary for understanding normal ageing and disease. Here we examine brain white matter magnetic resonance imaging (MRI) data in 3,513 generally healthy people aged 44.64-77.12 years from the UK Biobank. Using conventional water diffusion measures and newer, rarely studied indices from neurite orientation dispersion and density imaging, we document large age associations with white matter microstructure. Mean diffusivity is the most age-sensitive measure, with negative age associations strongest in the thalamic radiation and association fibres. White matter microstructure across brain tracts becomes increasingly correlated in older age. This may reflect an age-related aggregation of systemic detrimental effects. We report several other novel results, including age associations with hemisphere and sex, and comparative volumetric MRI analyses. Results from this unusually large, single-scanner sample provide one of the most extensive characterizations of age associations with major white matter tracts in the human brain.
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