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2019
DOI: 10.1016/j.neuroimage.2019.05.053
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Shared genetic influences on adolescent body mass index and brain structure: A voxel-based morphometry study in twins

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Cited by 10 publications
(10 citation statements)
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“…These regions are involved in the decision, motivation, and reward processes, which suggests a relationship between the anatomical structures described, atypical behaviors, and polyphagia. 31 The corpus callosum can be anatomically subdivided into the rostrum, the genu, the anterior body, the anterior middle body, the posterior middle body, the isthmus, and the splenium. 32 Among the major psychiatric diseases associated with morphological changes in the corpus callosum are those originating from injuries to the splenium or to the posterior middle body.…”
Section: Brain Injury and Etiology Of Behavioral Changesmentioning
confidence: 99%
“…These regions are involved in the decision, motivation, and reward processes, which suggests a relationship between the anatomical structures described, atypical behaviors, and polyphagia. 31 The corpus callosum can be anatomically subdivided into the rostrum, the genu, the anterior body, the anterior middle body, the posterior middle body, the isthmus, and the splenium. 32 Among the major psychiatric diseases associated with morphological changes in the corpus callosum are those originating from injuries to the splenium or to the posterior middle body.…”
Section: Brain Injury and Etiology Of Behavioral Changesmentioning
confidence: 99%
“…The gut satiety hormones produced by the gastrointestinal tract send satiety signals to the brain via the gut-brain axis ( Kuhne and Stengel, 2019 ), and abnormal brain response to satiety signals or high-fat feeding may play an important role in obesity pathogenesis ( Smith et al, 2018 , Covasa et al, 2000 ). Moreover, neuroimaging studies have shown that obesity is accompanied by focal structural alternations in many brain regions ( Pannacciulli et al, 2006 , Dekkers et al, 2019 , Taki et al, 2008 , Kennedy et al, 2019 , Raji, 2010 , Hamer and Batty, 2019 ), including the thalamus ( Dekkers et al, 2019 , Taki et al, 2008 , Kennedy et al, 2019 , Raji, 2010 ), caudate ( Dekkers et al, 2019 , Taki et al, 2008 , Hamer and Batty, 2019 ), putamen ( Pannacciulli et al, 2006 , Dekkers et al, 2019 , Hamer and Batty, 2019 ), pallidum ( Dekkers et al, 2019 , Hamer and Batty, 2019 ), hippocampus ( Dekkers et al, 2019 , Raji, 2010 , Horstmann et al, 2013 ), nucleus accumbens ( Dekkers et al, 2019 , Hamer and Batty, 2019 ), medial prefrontal cortex ( Kennedy et al, 2019 ), temporal lobe ( Taki et al, 2008 , Gustafson et al, 2004 ), cerebral spinal fluid ( Dekkers et al, 2019 ) and brainstem ( Dekkers et al, 2019 , Kennedy et al, 2019 ). These altered brain regions are involved in functions including decision-making ( Hare et al, 2009 ), emotion processing ( Locke et al, 2015 ), reward processing ( Pannacciulli et al, 2006 , Kennedy et al, 2019 ), and appetite regulation ( Pannacciulli et al, 2006 , Kennedy et al, 2019 , Papageorgiou et al, 2017 ).…”
Section: Introductionmentioning
confidence: 99%
“…As a variety of obesity-related genetic variations have been associated with the brain physiology and neurobehavior of obese individuals, genetic factors may contribute to brain structural alterations in obese people. Several articles have reported the high expression of obesity-related genes in the brain ( Kennedy et al, 2019 , Horstmann et al, 2013 , Locke et al, 2015 , Vainik et al, 2018 ). About one-third of body mass index (BMI) and brain structure genes are shared ( Kennedy et al, 2019 ), and genetic factors influence the relationship between BMI and brain regions related to eating behavior ( Locke et al, 2015 ).…”
Section: Introductionmentioning
confidence: 99%
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“…To account for the sex-dimorphic in brain development, we conducted this BWAS for females and males separately. To ensure specificity of our finding, we accounted for potential confounding factors: polygenetic risk for obesity [ 23 ], family socioeconomical status [ 24 ], changes due to illegal drug use [ 25 ], and elevated depressive symptoms [ 26 ]. To validate and extend our results to a wider age range, we sought to replicate our findings using an independent sample with a mean age of 56.89 years (UK Biobank [ 27 ]).…”
Section: Introductionmentioning
confidence: 99%