Association between childhood trauma and risk for obesity: a putative neurocognitive developmental pathway
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RESEARCH ARTICLE
Open Access
Association between childhood trauma and risk for obesity: a putative neurocognitive developmental pathway Qiang Luo1,2,3†, Lingli Zhang2†, Chu-Chung Huang1†, Yan Zheng4, Jonathan W. Kanen5, Qi Zhao1, Ye Yao1, Erin B. Quinlan6, Tianye Jia1,6, Tobias Banaschewski7, Arun L. W. Bokde8, Uli Bromberg9, Christian Büchel9, Herta Flor10,11, Vincent Frouin12, Hugh Garavan13, Penny Gowland14, Andreas Heinz15, Bernd Ittermann16, Jean-Luc Martinot17,18,19, Marie-Laure Paillère Martinot17,20, Frauke Nees7,10, Dimitri Papadopoulos Orfanos12, Luise Poustka21,22, Sarah Hohmann7, Juliane H. Fröhner23, Michael N. Smolka23, Henrik Walter15, Robert Whelan24, Barbara J. Sahakian1,2,5, Gunter Schumann1,6, Fei Li2*, Jianfeng Feng1,25,26*, Sylvane Desrivières6†, Trevor W. Robbins1,5 and for the IMAGEN consortium
Abstract Background: Childhood trauma increases the risk for adult obesity through multiple complex pathways, and the neural substrates are yet to be determined. Methods: Participants from three population-based neuroimaging cohorts, including the IMAGEN cohort, the UK Biobank (UKB), and the Human Connectome Project (HCP), were recruited. Voxel-based morphometry analysis of both childhood trauma and body mass index (BMI) was performed in the longitudinal IMAGEN cohort; validation of the findings was performed in the UKB. White-matter connectivity analysis was conducted to study the structural connectivity between the identified brain region and subdivisions of the hypothalamus in the HCP. (Continued on next page)
* Correspondence: [email protected]; [email protected] † Qiang Luo, Lingli Zhang, Chu-Chung Huang and Sylvane Desrivières contributed equally to this work. 2 Developmental and Behavioral Pediatric Department & Child Primary Care Department, Ministry of Education Key Laboratory for Children’s Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, People’s Republic of China 1 Institute of Science and Technology for Brain-Inspired Intelligence, Ministry of Education Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Shanghai 200433, People’s Republic of China Full list of author information is available at the end of the article © The Author(s). 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyrigh
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