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

doi:10.1016/J.NEUROIMAGE.2010.01.081

Home
/
Papers
/
Reward circuitry responsivity to food predicts future increases in body mass: moderating effects of DRD2 and DRD4.

Journal Article•DOI•

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

Eric Stice¹, Sonja Yokum¹, Cara Bohon¹, Nate Marti², Andrew Smolen³ - Show less +1 more•Institutions (3)

Oregon Research Institute¹, University of Texas at Austin², University of Colorado Boulder³

01 May 2010-NeuroImage (Neuroimage)-Vol. 50, Iss: 4, pp 1618-1625

TL;DR: 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.

read less

About: This article is published in NeuroImage.The article was published on 2010-05-01 and is currently open access. It has received 311 citations till now.

...read moreread less

Citations

PDF

Open Access

More filters

Journal Article•DOI•

Dysfunction of the prefrontal cortex in addiction: neuroimaging findings and clinical implications

[...]

Rita Z. Goldstein¹, Nora D. Volkow², Nora D. Volkow³•Institutions (3)

Brookhaven National Laboratory¹, National Institutes of Health², National Institute on Drug Abuse³

20 Oct 2011-Nature Reviews Neuroscience

TL;DR: Functional neuroimaging studies conducted in the past decade that have expanded the understanding of the involvement of the PFC in drug addiction are focused on.

...read moreread less

Abstract: The loss of control over drug intake that occurs in addiction was initially believed to result from disruption of subcortical reward circuits. However, imaging studies in addictive behaviours have identified a key involvement of the prefrontal cortex (PFC) both through its regulation of limbic reward regions and its involvement in higher-order executive function (for example, self-control, salience attribution and awareness). This Review focuses on functional neuroimaging studies conducted in the past decade that have expanded our understanding of the involvement of the PFC in drug addiction. Disruption of the PFC in addiction underlies not only compulsive drug taking but also accounts for the disadvantageous behaviours that are associated with addiction and the erosion of free will.

...read moreread less

2,008 citations

Journal Article•DOI•

A Heuristic for Developing Transdiagnostic Models of Psychopathology Explaining Multifinality and Divergent Trajectories

[...]

Susan Nolen-Hoeksema¹, Edward R. Watkins²•Institutions (2)

Yale University¹, University of Exeter²

14 Oct 2011-Perspectives on Psychological Science

TL;DR: This article proposes a heuristic for developing transdiagnostic models that can guide theorists in explicating how a trans Diagnostic risk factor results in both multifinality and divergent trajectories and illustrates this heuristic using research on rumination.

...read moreread less

Abstract: Transdiagnostic models of psychopathology are increasingly prominent because they focus on fundamental processes underlying multiple disorders, help to explain comorbidity among disorders, and may lead to more effective assessment and treatment of disorders. Current transdiagnostic models, however, have difficulty simultaneously explaining the mechanisms by which a transdiagnostic risk factor leads to multiple disorders (i.e., multifinality) and why one individual with a particular transdiagnostic risk factor develops one set of symptoms while another with the same transdiagnostic risk factor develops another set of symptoms (i.e., divergent trajectories). In this article, we propose a heuristic for developing transdiagnostic models that can guide theorists in explicating how a transdiagnostic risk factor results in both multifinality and divergent trajectories. We also (a) describe different levels of transdiagnostic factors and their relative theoretical and clinical usefulness, (b) suggest the types of mechanisms by which factors at 1 level may be related to factors at other levels, and (c) suggest the types of moderating factors that may determine whether a transdiagnostic factor leads to certain specific disorders or symptoms and not others. We illustrate this heuristic using research on rumination, a process for which there is evidence it is a transdiagnostic risk factor.

...read moreread less

646 citations

Journal Article•DOI•

Reward mechanisms in obesity: new insights and future directions.

[...]

Paul J. Kenny¹•Institutions (1)

Scripps Research Institute¹

24 Feb 2011-Neuron

TL;DR: Recent advances in the understanding of the brain circuitries that regulate hedonic aspects of feeding behavior will be reviewed and emerging evidence suggesting that obesity and drug addiction may share commonHedonic mechanisms will also be considered.

...read moreread less

645 citations

Cites background or result from "Reward circuitry responsivity to fo..."

...…fragment length polymorphism is downstream from the D2R gene (Neville et al., 2004), and individuals carrying the A1 allele of the polymorphism have between 30%–40% fewer striatal D2Rs compared with those not carrying the allele (Jönsson et al., 1999; Ritchie and Noble, 2003; Stice et al., 2010b)....
[...]
...…the magnitude of striatal activation in response to imagined eating of palatable food, as opposed to its actual consumption, was inversely correlated with weight gain over the following year in subjects with the A1 allele but positively correlated in non-A1 allele subjects (Stice et al., 2010b)....
[...]
...Moreover, women who gained weight over a 6 month period had a marked decline in striatal activity in response to palatable food during this time period compared with women who did not gain weight (Stice et al., 2010a)....
[...]
...These effects in rats are reminiscent of the decreased striatal activation in response to food reward described above in human subjects as they gained weight over a 6 month period (Stice et al., 2010a; see Figure 4)....
[...]
...As noted above, women who gained weight over a 6 month period had a marked decline in striatal activity in response to palatable food over this time period compared with women who did not gain weight (Stice et al., 2010a; Figure 4)....
[...]

Journal Article•DOI•

Body mass correlates inversely with inhibitory control in response to food among adolescent girls: an fMRI study.

[...]

Laura J. Batterink¹, Sonja Yokum², Eric Stice²•Institutions (2)

University of Oregon¹, Oregon Research Institute²

01 Oct 2010-NeuroImage

TL;DR: Functional magnetic resonance imaging is used to investigate neural activations during a food-specific go/no-go task in adolescent girls ranging from lean to obese and suggests that hypofunctioning of inhibitory control regions and increased response of food reward regions are related to elevated weight.

...read moreread less

469 citations

Journal Article•DOI•

Prediction as a Humanitarian and Pragmatic Contribution from Human Cognitive Neuroscience

[...]

John D. E. Gabrieli¹, John D. E. Gabrieli², Satrajit S. Ghosh³, Satrajit S. Ghosh², Susan Whitfield-Gabrieli² - Show less +1 more•Institutions (3)

Massachusetts Institute of Technology¹, McGovern Institute for Brain Research², Harvard University³

07 Jan 2015-Neuron

TL;DR: Findings in which initial brain measures are correlated with or predict future education, learning, and performance in children and adults; criminality; health-related behaviors; and responses to pharmacological or behavioral treatments are reviewed.

...read moreread less

439 citations

Cites background from "Reward circuitry responsivity to fo..."

...In one case, dopamine-related genetic variation interacted with blunted brain activation to correlate with elevated risk for future weight gain (Stice et al., 2010)....
[...]

1
2
3
4
…
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63

Collapse

References

PDF

Open Access

More filters

Book•

Applied Linear Statistical Models

[...]

Michael H. Kutner

01 Jan 1974

TL;DR: Applied Linear Statistical Models 5e as discussed by the authors is the leading authoritative text and reference on statistical modeling, which includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half.

...read moreread less

Abstract: Applied Linear Statistical Models 5e is the long established leading authoritative text and reference on statistical modeling. The text includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and "Notes" to provide depth and statistical accuracy and precision. The Fifth edition provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor. In general, the 5e uses larger data sets in examples and exercises, and where methods can be automated within software without loss of understanding, it is so done.

...read moreread less

10,747 citations

Journal Article•DOI•

Applied Linear Statistical Models

[...]

Eric R. Ziegel, John Neter, William Wasserman, Michael Kutner

01 Dec 1986-Journal of the American Statistical Association

10,217 citations

Journal Article•DOI•

Analysis of fMRI time-series revisited--again.

[...]

Keith J. Worsley¹, Karl J. Friston¹•Institutions (1)

Hammersmith Hospital¹

01 Sep 1995-NeuroImage

TL;DR: Correct results are presented that replace those of the previous paper and solve the same problem without recourse to heuristic arguments and a proper and unbiased estimator for the error terms are introduced.

...read moreread less

2,154 citations

Journal Article•DOI•

Brain dopamine and obesity.

[...]

Gene-Jack Wang¹, Gene-Jack Wang², Nora D. Volkow², Nora D. Volkow¹, Jean Logan¹, Naoml R Pappas¹, Christopher Wong¹, Wel Zhu², Noelwah Netusll¹, Joanna S. Fowler¹ - Show less +6 more•Institutions (2)

Brookhaven National Laboratory¹, State University of New York System²

03 Feb 2001-The Lancet

TL;DR: Dopamine modulates motivation and reward circuits and hence dopamine deficiency in obese individuals may perpetuate pathological eating as a means to compensate for decreased activation of these circuits.

...read moreread less

1,743 citations

Journal Article•DOI•

Allelic discrimination using fluorogenic probes and the 5' nuclease assay.

[...]

Kenneth J. Livak¹•Institutions (1)

Applied Biosystems¹

01 Feb 1999-Genetic Analysis: Biomolecular Engineering

TL;DR: The 5' nuclease (TaqMan) as discussed by the authors is a typical PCR that uses a fluorogenic probe, consisting of an oligonucleotide labeled with both a fluorescent reporter dye and a quencher dye.

...read moreread less

1,443 citations