@inproceedings{bf9f59ef63a640aa8cbc327fe40f76ab,
title = "Genetic analysis of structural brain connectivity using DICCCOL models of diffusion MRI in 522 twins",
abstract = "Genetic and environmental factors affect white matter connectivity in the normal brain, and they also influence diseases in which brain connectivity is altered. Little is known about genetic influences on brain connectivity, despite wide variations in the brain's neural pathways. Here we applied the 'DICCCOL' framework to analyze structural connectivity, in 261 twin pairs (522 participants, mean age: 21.8 y ± 2.7SD). We encoded connectivity patterns by projecting the white matter (WM) bundles of all 'DICCCOLs' as a tracemap (TM). Next we fitted an A/C/E structural equation model to estimate additive genetic (A), common environmental (C), and unique environmental/error (E) components of the observed variations in brain connectivity. We found 44 'heritable DICCCOLs' whose connectivity was genetically influenced (α2>1\%); half of them showed significant heritability (α2>20\%). Our analysis of genetic influences on WM structural connectivity suggests high heritability for some WM projection patterns, yielding new targets for genome-wide association studies.",
keywords = "DICCCOL, heritability",
author = "Dajiang Zhu and Liang Zhan and Joshua Faskowitz and Madelaine Daianu and Neda Jahanshad and \{De Zubicaray\}, \{Greig I.\} and McMahon, \{Katie L.\} and Martin, \{Nicholas G.\} and Wright, \{Margaret J.\} and Thompson, \{Paul M.\}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 12th IEEE International Symposium on Biomedical Imaging, ISBI 2015 ; Conference date: 16-04-2015 Through 19-04-2015",
year = "2015",
month = jul,
day = "21",
doi = "10.1109/ISBI.2015.7164080",
language = "English",
series = "Proceedings - International Symposium on Biomedical Imaging",
publisher = "IEEE Computer Society",
pages = "1167--1171",
booktitle = "2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015",
address = "United States",
}