More highly myelinated white matter tracts are associated with faster processing speed in healthy adults

Date

2017-12-21

Authors

Chopra, Sidhant
Shaw, Marnie
Shaw, Thomas
Sachdev, Perminder S.
Anstey, Kaarin
Cherbuin, Nicolas

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier

Abstract

The objective of this study was to investigate whether the estimated myelin content of white matter tracts is predictive of cognitive processing speed and whether such associations are modulated by age. Associations between estimated myelin content and processing speed was assessed in 570 community-living individuals (277 middle-age, 293 older-age). Myelin content was estimated using the mean T1w/T2w magnetic resonance ratio, in six white matter tracts (anterior corona radiata, superior corona radiata, pontine crossing tract, anterior limb of the internal capsule, genu of the corpus callosum, and splenium of the corpus callosum). Processing speed was estimated by extracting a principal component from 5 separate tests of processing speed. It was found that estimated myelin content of the bilateral anterior limb of the internal capsule and left splenium of the corpus callosum were significant predictors of processing speed, even after controlling for socio-demographic, health and genetic variables and correcting for multiple comparisons. One SD higher in the estimated myelin content of the anterior limb of the internal capsule was associated with 2.53% faster processing speed and within the left splenium of the corpus callosum with 2.20% faster processing speed. In addition, significant differences in estimated myelin content between middle-age and older participants were found in all six white matter tracts. The present results indicate that myelin content, estimated in vivo using a neuroimaging approach in healthy older adults, is sufficiently precise to predict variability in processing speed in behavioural measures.

Description

Keywords

ageing, myelin, processing speed, t1w/t2w, white matter

Citation

Source

NeuroImage

Type

Journal article

Book Title

Entity type

Access Statement

Open Access

License Rights

DOI

10.1016/j.neuroimage.2017.12.069

Restricted until