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      Reward circuitry responsivity to food predicts future increases in body mass: Moderating effects of DRD2 and DRD4

      , , , ,
      NeuroImage
      Elsevier BV

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          Abstract

          To determine whether responsivity of reward circuitry to food predicts future increases in body mass and whether polymorphisms in DRD2 and DRD4 moderate these relations. The functional magnetic resonance imaging (fMRI) paradigm investigated blood oxygen level dependent activation in response to imagined intake of palatable foods, unpalatable foods, and glasses of water shown in pictures. DNA was extracted from saliva samples using standard salting-out and solvent precipitation methods. Forty-four adolescent female high school students ranging from lean to obese. Future increases in body mass index (BMI). Weaker activation of the frontal operculum, lateral orbitofrontal cortex, and striatum in response to imagined intake of palatable foods, versus imagined intake of unpalatable foods or water, predicted future increases in body mass for those with the DRD2 TaqIA A1 allele or the DRD4-7R allele. Data also suggest that for those lacking these alleles, greater responsivity of these food reward regions predicted future increases in body mass. This novel prospective fMRI study indicates that responsivity of reward circuitry to food increases risk for future weight gain, but that genes that impact dopamine signaling capacity moderate the predictive effects, suggesting two qualitatively distinct pathways to unhealthy weight gain based on genetic risk. 2010 Elsevier Inc. All rights reserved.

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          Author and article information

          Journal
          NeuroImage
          NeuroImage
          Elsevier BV
          10538119
          May 2010
          May 2010
          : 50
          : 4
          : 1618-1625
          Article
          10.1016/j.neuroimage.2010.01.081
          3987805
          20116437
          ff09dd60-eeb5-4f50-9437-234fb1df7a15
          © 2010

          https://www.elsevier.com/tdm/userlicense/1.0/

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