Displaying 1 - 6 of 6
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Kong, X., Boedhoe, P., ENIGMA OCD Working Group, Thompson, P., Van den Heuvel, O. A., & Francks, C. (2018). A survey of altered brain anatomical asymmetry in Obsessive-Compulsive Disorder. Poster presented at the 73rdAnnual Meeting of the Society of Biological Psychiatry (SOBP 2018), New York, NY, USA.
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Kong, X. (2018). Global team neuroscience: Updates from the ENIGMA lateralization working group. Talk presented at the Imaging Genetics of Human Brain Laterality Workshop. Nijmegen, The Netherlands. 2018-01-30.
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Kong, X., & Francks, C. (2018). Mapping brain asymmetry: Updates from the ENIGMA Lateralization Group. Talk presented at the ENIGMA Consortium Chairs Annual Retreat 2018. New York, NY, USA. 2018-05-08.
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Kong, X., Mathias, S. R., Guadalupe, T., ENIGMA Laterality Working Group, Glahn, D. C., Franke, B., Crivello, F., Tzourio-Mazoyer, N., Fisher, S. E., Thompson, P. M., & Francks, C. (2018). Mapping cortical brain asymmetry in 17,141 healthy individuals worldwide via the ENIGMA Consortium. Poster presented at the 24th Annual Meeting of the Organization for Human Brain Mapping (OHBM 2018), Singapore.
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Kong, X. (2018). Linking gene expression to cognition in the human brain. Talk presented at the Donders Discussions 2018. Nijmegen, The Netherlands. 2018-10-11 - 2018-10-12.
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Kong, X., & Francks, C. (2017). Differential gene expression associated with frontal and occipital asymmetries of the human brain. Poster presented at the Annual Meeting of the Organization for Human Brain Mapping, Vancouver, Canada.
Abstract
Rightward frontal and leftward occipital asymmetries in human brain (i.e., brain torque) have been consistently reported in postmortem and in vivo neuroimaging studies. Alterations of these asymmetries may be involved in human disorders including stuttering and depression. However, little is known about the genetic determinants of these asymmetries. In the present study, we aimed to explore the genetic basis of frontal and occipital asymmetries by combining a large sample of MRI images (N = 2326) and a high-resolution gene expression database (Allen Human Brain Atlas, AHBA).
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