Investigating brain connectivity heritability in a twin study using diffusion imaging data

Shen, Kai-Kai, Rose, Stephen, Fripp, Jurgen, McMahon, Katie L., de Zubicaray, Greig I., Martin, Nicholas G., Thompson, Paul M., Wright, Margaret J. and Salvado, Olivier (2014) Investigating brain connectivity heritability in a twin study using diffusion imaging data. Neuroimage, 100 628-641. doi:10.1016/j.neuroimage.2014.06.041

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Author Shen, Kai-Kai
Rose, Stephen
Fripp, Jurgen
McMahon, Katie L.
de Zubicaray, Greig I.
Martin, Nicholas G.
Thompson, Paul M.
Wright, Margaret J.
Salvado, Olivier
Title Investigating brain connectivity heritability in a twin study using diffusion imaging data
Journal name Neuroimage   Check publisher's open access policy
ISSN 1095-9572
Publication date 2014-10-15
Year available 2014
Sub-type Article (original research)
DOI 10.1016/j.neuroimage.2014.06.041
Open Access Status File (Author Post-print)
Volume 100
Start page 628
End page 641
Total pages 14
Place of publication Amsterdam, Netherlands
Publisher Academic Press
Language eng
Subject 2808 Neurology
2805 Cognitive Neuroscience
Abstract Heritability of brain anatomical connectivity has been studied with diffusion-weighted imaging (DWI) mainly by modeling each voxel's diffusion pattern as a tensor (e.g., to compute fractional anisotropy), but this method cannot accurately represent the many crossing connections present in the brain. We hypothesized that different brain networks (i.e., their component fibers) might have different heritability and we investigated brain connectivity using High Angular Resolution Diffusion Imaging (HARDI) in a cohort of twins comprising 328 subjects that included 70 pairs of monozygotic and 91 pairs of dizygotic twins. Water diffusion was modeled in each voxel with a Fiber Orientation Distribution (FOD) function to study heritability for multiple fiber orientations in each voxel. Precision was estimated in a test-retest experiment on a sub-cohort of 39 subjects. This was taken into account when computing heritability of FOD peaks using an ACE model on the monozygotic and dizygotic twins. Our results confirmed the overall heritability of the major white matter tracts but also identified differences in heritability between connectivity networks. Inter-hemispheric connections tended to be more heritable than intra-hemispheric and cortico-spinal connections. The highly heritable tracts were found to connect particular cortical regions, such as medial frontal cortices, postcentral, paracentral gyri, and the right hippocampus.
Keyword Neurosciences
Radiology, Nuclear Medicine & Medical Imaging
Neurosciences & Neurology
Radiology, Nuclear Medicine & Medical Imaging
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2015 Collection
School of Medicine Publications
School of Psychology Publications
Centre for Advanced Imaging Publications
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Citation counts: TR Web of Science Citation Count  Cited 13 times in Thomson Reuters Web of Science Article | Citations
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Created: Fri, 01 Aug 2014, 20:32:00 EST by Sandrine Ducrot on behalf of Centre for Advanced Imaging