Ageing and brain white matter structure in 3,513 UK Biobank participants

Simon R. Cox(University of Edinburgh), Stuart J. Ritchie(University of Edinburgh), Elliot M. Tucker–Drob(The University of Texas at Austin), David C. Liewald(University of Edinburgh), Saskia P. Hagenaars(University of Edinburgh), Gail Davies(University of Edinburgh), Joanna M. Wardlaw(Wellcome Centre for Integrative Neuroimaging), Catharine R. Galé(MRC Lifecourse Epidemiology Unit), Mark E. Bastin(Wellcome Centre for Integrative Neuroimaging), Ian J. Deary(University of Edinburgh)
Nature Communications
December 15, 2016
Cited by 524Open Access
Full Text

Abstract

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.


Related Papers

No related papers found

Powered by citation graph analysis