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Journal Article

Interhemispheric relationship of genetic influence on human brain connectivity

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Francks,  Clyde
Imaging Genomics, MPI for Psycholinguistics, Max Planck Society;
Language and Genetics Department, MPI for Psycholinguistics, Max Planck Society;
Donders Institute for Brain, Cognition and Behaviour, External Organizations;

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Citation

Zhong, S., Wei, L., Zhao, C., Yang, L., Di, Z., Francks, C., et al. (2021). Interhemispheric relationship of genetic influence on human brain connectivity. Cerebral Cortex, 31(1), 77-88. doi:10.1093/cercor/bhaa207.


Cite as: https://hdl.handle.net/21.11116/0000-0006-DFB8-0
Abstract
To understand the origins of interhemispheric differences and commonalities/coupling in human brain wiring, it is crucial to determine how homologous interregional connectivities of the left and right hemispheres are genetically determined and related. To address this, in the present study, we analyzed human twin and pedigree samples with high-quality diffusion magnetic resonance imaging tractography and estimated the heritability and genetic correlation of homologous left and right white matter (WM) connections. The results showed that the heritability of WM connectivity was similar and coupled between the 2 hemispheres and that the degree of overlap in genetic factors underlying homologous WM connectivity (i.e., interhemispheric genetic correlation) varied substantially across the human brain: from complete overlap to complete nonoverlap. Particularly, the heritability was significantly stronger and the chance of interhemispheric complete overlap in genetic factors was higher in subcortical WM connections than in cortical WM connections. In addition, the heritability and interhemispheric genetic correlations were stronger for long-range connections than for short-range connections. These findings highlight the determinants of the genetics underlying WM connectivity and its interhemispheric relationships, and provide insight into genetic basis of WM connectivity asymmetries in both healthy and disease states.