TY - JOUR
T1 - The spatial correspondence and genetic influence of interhemispheric connectivity with white matter microstructure
AU - Mollink, Jeroen
AU - Smith, Stephen M.
AU - Elliott, Lloyd T.
AU - Kleinnijenhuis, Michiel
AU - Hiemstra, Marlies
AU - Alfaro-Almagro, Fidel
AU - Marchini, Jonathan
AU - van Cappellen van Walsum, Anne Marie
AU - Jbabdi, Saad
AU - Miller, Karla L.
N1 - Publisher Copyright:
© 2019, The Author(s), under exclusive licence to Springer Nature America, Inc.
PY - 2019/5/1
Y1 - 2019/5/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85064561890&partnerID=8YFLogxK
U2 - 10.1038/s41593-019-0379-2
DO - 10.1038/s41593-019-0379-2
M3 - Article
C2 - 30988526
AN - SCOPUS:85064561890
SN - 1097-6256
VL - 22
SP - 809
EP - 819
JO - Nature Neuroscience
JF - Nature Neuroscience
IS - 5
ER -