Last updated:
Author(s):
Jeroen Mollink, Stephen M. Smith, Lloyd T. Elliott, Michiel Kleinnijenhuis, Marlies Hiemstra, Fidel Alfaro-Almagro, Jonathan Marchini, Anne-Marie van Cappellen van Walsum, Saad Jbabdi, Karla L. Miller
Publish date:
15 April 2019
Journal:
Nature Neuroscience
PubMed ID:
30988526

Abstract

Microscopic features (that is, microstructure) of axons affect neural circuit activity through characteristics such as conduction speed. To what extent axonal microstructure in white matter relates to functional connectivity (synchrony) between brain regions is largely unknown. Using MRI data in 11,354 subjects, we constructed multivariate models that predict functional connectivity of pairs of brain regions from the microstructural signature of white matter pathways that connect them. Microstructure-derived models provided predictions of functional connectivity that explained 3.5% of cross-subject variance on average (ranging from 1-13%, or r = 0.1-0.36) and reached statistical significance in 90% of the brain regions considered. The microstructure-function relationships were associated with genetic variants, co-located with genes DAAM1 and LPAR1, that have previously been linked to neural development. Our results demonstrate that variation in white matter microstructure predicts a fraction of functional connectivity across individuals, and that this relationship is underpinned by genetic variability in certain brain areas.

Related projects

We will apply image processing software to the neuro imaging data, in order to a) further develop image processing algorithms and software, for use by…

Institution:
University of Oxford, Great Britain

All projects