Literature DB >> 35604444

Aging and white matter microstructure and macrostructure: a longitudinal multi-site diffusion MRI study of 1218 participants.

Kurt G Schilling1, Derek Archer2,3,4, Fang-Cheng Yeh5,6, Francois Rheault7, Leon Y Cai7, Colin Hansen7, Qi Yang7, Karthik Ramdass7, Andrea T Shafer8, Susan M Resnick8, Kimberly R Pechman2,3, Katherine A Gifford2,3, Timothy J Hohman2,3,4, Angela Jefferson2,3,9, Adam W Anderson10, Hakmook Kang11, Bennett A Landman7.   

Abstract

Quantifying the microstructural and macrostructural geometrical features of the human brain's connections is necessary for understanding normal aging and disease. Here, we examine brain white matter diffusion magnetic resonance imaging data from one cross-sectional and two longitudinal data sets totaling in 1218 subjects and 2459 sessions of people aged 50-97 years. Data was drawn from well-established cohorts, including the Baltimore Longitudinal Study of Aging data set, Cambridge Centre for Ageing Neuroscience data set, and the Vanderbilt Memory & Aging Project. Quantifying 4 microstructural features and, for the first time, 11 macrostructure-based features of volume, area, and length across 120 white matter pathways, we apply linear mixed effect modeling to investigate changes in pathway-specific features over time, and document large age associations within white matter. Conventional diffusion tensor microstructure indices are the most age-sensitive measures, with positive age associations for diffusivities and negative age associations with anisotropies, with similar patterns observed across all pathways. Similarly, pathway shape measures also change with age, with negative age associations for most length, surface area, and volume-based features. A particularly novel finding of this study is that while trends were homogeneous throughout the brain for microstructure features, macrostructural features demonstrated heterogeneity across pathways, whereby several projection, thalamic, and commissural tracts exhibited more decline with age compared to association and limbic tracts. The findings from this large-scale study provide a comprehensive overview of the age-related decline in white matter and demonstrate that macrostructural features may be more sensitive to heterogeneous white matter decline. Therefore, leveraging macrostructural features may be useful for studying aging and could facilitate comparisons in a variety of diseases or abnormal conditions.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Aging; Diffusion MRI; Tractography; Volume; White matter

Mesh:

Year:  2022        PMID: 35604444     DOI: 10.1007/s00429-022-02503-z

Source DB:  PubMed          Journal:  Brain Struct Funct        ISSN: 1863-2653            Impact factor:   3.748


  55 in total

1.  Exploratory voxel-based analysis of diffusion indices and hemispheric asymmetry in normal aging.

Authors:  Siamak Ardekani; Anand Kumar; George Bartzokis; Usha Sinha
Journal:  Magn Reson Imaging       Date:  2006-12-06       Impact factor: 2.546

2.  Aging in the CNS: comparison of gray/white matter volume and diffusion tensor data.

Authors:  Osamu Abe; Hidenori Yamasue; Shigeki Aoki; Motomu Suga; Haruyasu Yamada; Kiyoto Kasai; Yoshitaka Masutani; Nobuyuki Kato; Nobumasa Kato; Kuni Ohtomo
Journal:  Neurobiol Aging       Date:  2006-10-04       Impact factor: 4.673

3.  Quantitative comparison of reconstruction methods for intra-voxel fiber recovery from diffusion MRI.

Authors:  Alessandro Daducci; Erick Jorge Canales-Rodríguez; Maxime Descoteaux; Eleftherios Garyfallidis; Yaniv Gur; Ying-Chia Lin; Merry Mani; Sylvain Merlet; Michael Paquette; Alonso Ramirez-Manzanares; Marco Reisert; Paulo Reis Rodrigues; Farshid Sepehrband; Emmanuel Caruyer; Jeiran Choupan; Rachid Deriche; Mathews Jacob; Gloria Menegaz; Vesna Prčkovska; Mariano Rivera; Yves Wiaux; Jean-Philippe Thiran
Journal:  IEEE Trans Med Imaging       Date:  2013-10-11       Impact factor: 10.048

4.  White matter microstructure across the adult lifespan: A mixed longitudinal and cross-sectional study using advanced diffusion models and brain-age prediction.

Authors:  Dani Beck; Ann-Marie G de Lange; Ivan I Maximov; Geneviève Richard; Ole A Andreassen; Jan E Nordvik; Lars T Westlye
Journal:  Neuroimage       Date:  2020-10-09       Impact factor: 6.556

5.  Age-related networks of regional covariance in MRI gray matter: reproducible multivariate patterns in healthy aging.

Authors:  Kaitlin L Bergfield; Krista D Hanson; Kewei Chen; Stefan J Teipel; Harald Hampel; Stanley I Rapoport; James R Moeller; Gene E Alexander
Journal:  Neuroimage       Date:  2009-09-28       Impact factor: 6.556

6.  Non-Gaussian water diffusion in aging white matter.

Authors:  Jean-Philippe Coutu; J Jean Chen; H Diana Rosas; David H Salat
Journal:  Neurobiol Aging       Date:  2013-12-04       Impact factor: 4.673

7.  White Matter Changes of Neurite Density and Fiber Orientation Dispersion during Human Brain Maturation.

Authors:  Yi Shin Chang; Julia P Owen; Nicholas J Pojman; Tony Thieu; Polina Bukshpun; Mari L J Wakahiro; Jeffrey I Berman; Timothy P L Roberts; Srikantan S Nagarajan; Elliott H Sherr; Pratik Mukherjee
Journal:  PLoS One       Date:  2015-06-26       Impact factor: 3.240

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

Authors:  Simon R Cox; Stuart J Ritchie; Elliot M Tucker-Drob; David C Liewald; Saskia P Hagenaars; Gail Davies; Joanna M Wardlaw; Catharine R Gale; Mark E Bastin; Ian J Deary
Journal:  Nat Commun       Date:  2016-12-15       Impact factor: 14.919

9.  Meyer's loop tractography for image-guided surgery depends on imaging protocol and hardware.

Authors:  Maxime Chamberland; Chantal M W Tax; Derek K Jones
Journal:  Neuroimage Clin       Date:  2018-08-13       Impact factor: 4.881

10.  Bundle analytics, a computational framework for investigating the shapes and profiles of brain pathways across populations.

Authors:  Bramsh Qamar Chandio; Shannon Leigh Risacher; Franco Pestilli; Daniel Bullock; Fang-Cheng Yeh; Serge Koudoro; Ariel Rokem; Jaroslaw Harezlak; Eleftherios Garyfallidis
Journal:  Sci Rep       Date:  2020-10-13       Impact factor: 4.996

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