Heritability of White Matter Fiber Tract Shapes: A HARDI Study of 198 Twins

Overview

Journal Multimodal Brain Image Anal (2011)

Publisher Springer

Date 2014 Oct 28

PMID 25346947

Citations 14

Authors

Yan Jin

Yonggang Shi

Shantanu H Joshi

Neda Jahanshad

Liang Zhan

Greig I de Zubicaray

Katie L McMahon

Nicholas G Martin

Margaret J Wright

Arthur W Toga

Paul M Thompson

Affiliations

Soon will be listed here.

Abstract

Genetic analysis of diffusion tensor images (DTI) shows great promise in revealing specific genetic variants that affect brain integrity and connectivity. Most genetic studies of DTI analyze voxel-based diffusivity indices in the image space (such as 3D maps of fractional anisotropy) and overlook tract geometry. Here we propose an automated workflow to cluster fibers using a white matter probabilistic atlas and perform genetic analysis on the shape characteristics of fiber tracts. We apply our approach to large study of 4-Tesla high angular resolution diffusion imaging (HARDI) data from 198 healthy, young adult twins (age: 20-30). Illustrative results show heritability for the shapes of several major tracts, as color-coded maps.

Citing Articles

Genetic and environmental influence on resting state networks in young male and female adults: a cartographer mapping study.

Kulkarni A, Hwang G, Cook C, Mohanty R, Guliani A, Nair V Hum Brain Mapp. 2022; 44(16):5238-5293.

PMID: 36537283 PMC: 10543121. DOI: 10.1002/hbm.25947.

Heritability Estimation of Reliable Connectomic Features.

Xie L, Amico E, Salama P, Wu Y, Fang S, Sporns O Connect Neuroimaging (2018). 2019; 11083:58-66.

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Asymmetric Insular Connectomics Revealed by Diffusion Magnetic Resonance Imaging Analysis of Healthy Brain Development.

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High-angular resolution diffusion imaging tractography of cerebellar pathways from newborns to young adults.

Re T, Levman J, Lim A, Righini A, Grant P, Takahashi E Brain Behav. 2017; 7(1):e00589.

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Development of human white matter fiber pathways: From newborn to adult ages.

Cohen A, Wang R, Wilkinson M, MacDonald P, Lim A, Takahashi E Int J Dev Neurosci. 2016; 50:26-38.

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