| Title: | Age and sex effects on advanced white matter microstructure measures in 15,628 older adults: A UK biobank study |
| Journal: | Brain Imaging and Behavior |
| Published: | 18 Sep 2021 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/34537917/ |
| DOI: | https://doi.org/10.1007/s11682-021-00548-y |
| URL: | https://link.springer.com/content/pdf/10.1007/s11682-021-00548-y.pdf |
| Citations: | 43 (25 in last 2 years) as of 8 Aug 2024 |
Publication 4001
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
Abstract
A comprehensive characterization of the brain's white matter is critical for improving our understanding of healthy and diseased aging. Here we used diffusion-weighted magnetic resonance imaging (dMRI) to estimate age and sex effects on white matter microstructure in a cross-sectional sample of 15,628 adults aged 45-80 years old (47.6% male, 52.4% female). Microstructure was assessed using the following four models: a conventional single-shell model, diffusion tensor imaging (DTI); a more advanced single-shell model, the tensor distribution function (TDF); an advanced multi-shell model, neurite orientation dispersion and density imaging (NODDI); and another advanced multi-shell model, mean apparent propagator MRI (MAPMRI). Age was modeled using a data-driven statistical approach, and normative centile curves were created to provide sex-stratified white matter reference charts. Participant age and sex substantially impacted many aspects of white matter microstructure across the brain, with the advanced dMRI models TDF and NODDI detecting such effects the most sensitively. These findings and the normative reference curves provide an important foundation for the study of healthy and diseased brain aging.</p>
13 Authors
- Katherine E. Lawrence
- Leila Nabulsi
- Vigneshwaran Santhalingam
- Zvart Abaryan
- Julio E. Villalon-Reina
- Talia M. Nir
- Iyad Ba Gari
- Alyssa H. Zhu
- Elizabeth Haddad
- Alexandra M. Muir
- Emily Laltoo
- Neda Jahanshad
- Paul M. Thompson
Enabling scientific discoveries that improve human health