Literature DB >> 22963736

Brain structure predicts risk for obesity.

Jason Smucny1, Marc-Andre Cornier, Lindsay C Eichman, Elizabeth A Thomas, Jamie L Bechtell, Jason R Tregellas.   

Abstract

The neurobiology of obesity is poorly understood. Here we report findings of a study designed to examine the differences in brain regional gray matter volume in adults recruited as either Obese Prone or Obese Resistant based on self-identification, body mass index, and personal/family weight history. Magnetic resonance imaging was performed in 28 Obese Prone (14 male, 14 female) and 25 Obese Resistant (13 male, 12 female) healthy adults. Voxel-based morphometry was used to identify gray matter volume differences between groups. Gray matter volume was found to be lower in the insula, medial orbitofrontal cortex and cerebellum in Obese Prone, as compared to Obese Resistant individuals. Adjusting for body fat mass did not impact these results. Insula gray matter volume was negatively correlated with leptin concentration and measures of hunger. These findings suggest that individuals at risk for weight gain have structural differences in brain regions known to be important in energy intake regulation, and that these differences, particularly in the insula, may be related to leptin.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22963736      PMCID: PMC4111642          DOI: 10.1016/j.appet.2012.08.027

Source DB:  PubMed          Journal:  Appetite        ISSN: 0195-6663            Impact factor:   3.868


  63 in total

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6.  The effects of overfeeding on spontaneous physical activity in obesity prone and obesity resistant humans.

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7.  Relation of regional gray and white matter volumes to current BMI and future increases in BMI: a prospective MRI study.

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  24 in total

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7.  Recovery of brain structural abnormalities in morbidly obese patients after bariatric surgery.

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8.  Eating-related behaviors and appetite during energy imbalance in obese-prone and obese-resistant individuals.

Authors:  Elizabeth A Thomas; Jaime L Bechtell; Brian E Vestal; Susan L Johnson; Daniel H Bessesen; Jason R Tregellas; Marc-Andre Cornier
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