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The Addictive Dimensionality of Obesity
Open accessAbstract
Our brains are hardwired to respond and seek immediate rewards. Thus, it is not surprising that many people overeat, which in some can result in obesity, whereas others take drugs, which in some can result in addiction. Though food intake and body weight are under homeostatic regulation, when highly palatable food is available, the ability to resist the urge to eat hinges on self-control. There is no homeostatic regulator to check the intake of drugs (including alcohol); thus, regulation of drug consumption is mostly driven by self-control or unwanted effects (i.e., sedation for alcohol). Disruption in both the neurobiological processes that underlie sensitivity to reward and those that underlie inhibitory control can lead to compulsive food intake in some individuals and compulsive drug intake in others. There is increasing evidence that disruption of energy homeostasis can affect the reward circuitry and that overconsumption of rewarding food can lead to changes in the reward circuitry that result in compulsive food intake akin to the phenotype seen with addiction. Addiction research has produced new evidence that hints at significant commonalities between the neural substrates underlying the disease of addiction and at least some forms of obesity. This recognition has spurred a healthy debate to try and ascertain the extent to which these complex and dimensional disorders overlap and whether or not a deeper understanding of the crosstalk between the homeostatic and reward systems will usher in unique opportunities for prevention and treatment of both obesity and drug addiction.
Overview
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Written from the paper’s full text.
TL;DR
This review argues that obesity and addiction share neurobiological substrates—especially dopamine pathways—while also involving unique processes, so food reward is best viewed as a dimensional component of obesity rather than proof that obesity is food addiction. It synthesizes genetic, molecular, neurocircuitry, and behavioral overlaps to suggest that addiction prevention and treatment strategies may inform obesity interventions.
Key findings
- A genome-wide association study in 249,796 individuals of European descent identified 32 loci associated with BMI, but these explained only 1.5% of BMI variance. Candidate overlapping genes include DRD2 Taq I A1, CNR1, and the OPRM1 A118G polymorphism, linked to addiction, obesity risk, binge-eating, or alcoholism.
- Homeostatic and reward systems interact: VTA/NAc neurons express receptors for GLP-1, ghrelin, leptin, insulin, orexin, and melanocortins; orexigenic signals increase VTA DA cell activity to food stimuli, while anorexigenic signals inhibit DA firing and decrease DA release. Human data cited include an inverse relationship between BMI and illicit drug use, lower risk for substance use disorders in obese individuals, and increased risk for alcohol abuse/alcoholism relapse after bariatric surgery.
- Both addicted and obese subjects show blunted reward-circuit activation during consumption but sensitized responses to conditioned cues. Obese individuals viewing high-calorie food showed increased activation in NAc, dorsal striatum, OFC, ACC, amygdala, hippocampus, and insula; reduced striatal D2R availability is reported in addiction and obesity and is associated with decreased prefrontal activity.
- The insula is implicated in food, cocaine, and cigarette cravings; gastric distention activates the posterior insula, but lean—not obese—subjects showed amygdala activation and anterior insula deactivation. The extended amygdala, corticotropin-releasing factor signaling, and habenula are proposed to contribute to stress reactivity and the “dark side” transition in addiction and possibly food addiction.
Methods
- Narrative review and conceptual synthesis, not a systematic review or primary study. It integrates preclinical animal models and human genetic, imaging, and clinical evidence.
- The main analysis argues that homeostatic and reward systems interact, with dopamine as a common substrate across mesoaccumbens/mesolimbic, mesostriatal, and mesocortical pathways. It proposes a “bowtie”/nested layered architecture model in which the DA system subserves hypothalamic internal signals.
- Specific evidence cited includes a GWAS of 249,796 individuals, human PET/fMRI studies, rodent feeding and drug-reward experiments, and clinical observations such as bariatric surgery outcomes.
Limitations
- The authors state they do not claim obesity is the result of food addiction, but rather that food reward plays a critical role in overeating and obesity, referring to it as the dimensional component of obesity. They also note that the extent of overlap remains debated, that it is unclear whether obesogenic diets decrease striatal D2R, and that the extent of similar direct/indirect pathway regulatory processes in obesity remains unclear.
- Evident from the text: as a narrative review, it does not use a systematic search or quantitative synthesis, and many cited findings are correlational or from animal models, so causal direction and human generalizability are not fully established.
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In the paper
“However, these 32 loci explained only 1.5% of the BMI variance (1,2), a situation that is unlikely to improve with larger samples because of the complex interactions between biological and environmental factors.”
§ The Addictive Dimensionality of Obesity > Genetic Overlaps
What the sources say
- Not checked yetcites [1] Naukkarinen, 2010, Use of genome-wide expression data to mine the “Gray Zone“ of GWA studies leads to novel candidate obesity genes, PLoS Genet source
- Not checked yetcites [2] Speliotes, 2010, Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index, Nat Genet source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Thus, the dopamine (DA) system, through the mesoaccumbens/mesolimbic (reward and emotions), mesostriatal (habits, routines, and movement), and mesocortical (executive function) pathways, is a common substrate in the neurobiology of both disorders (Figure 1).”
§ The Addictive Dimensionality of Obesity > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIn the paper
“Specifically, several hormones and neuropeptides involved in energy homeostasis influence the DA reward pathway (9).”
§ The Addictive Dimensionality of Obesity > Molecular Overlaps: Focus on Dopamine
What the sources say
- Not checked yetcites [9] Volkow, 2013, Obesity and addiction: Neurobiological overlaps, Obes Rev source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Addiction research has produced new evidence that hints at significant commonalities between the neural substrates underlying the disease of addiction and at least some forms of obesity.”
§ The Addictive Dimensionality of Obesity > Abstract
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In the paper
“Indeed, the most recent whole genome-wide association study conducted in 249,796 individuals of European descent identified 32 loci associated with body mass index (BMI).”
§ The Addictive Dimensionality of Obesity > Genetic Overlaps
What the sources say
- Not checked yetcites [1] Naukkarinen, 2010, Use of genome-wide expression data to mine the “Gray Zone“ of GWA studies leads to novel candidate obesity genes, PLoS Genet source
- Not checked yetcites [2] Speliotes, 2010, Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index, Nat Genet source
Tests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“However, these 32 loci explained only 1.5% of the BMI variance (1,2), a situation that is unlikely to improve with larger samples because of the complex interactions between biological and environmental factors.”
§ The Addictive Dimensionality of Obesity > Genetic Overlaps
What the sources say
- Not checked yetcites [1] Naukkarinen, 2010, Use of genome-wide expression data to mine the “Gray Zone“ of GWA studies leads to novel candidate obesity genes, PLoS Genet source
- Not checked yetcites [2] Speliotes, 2010, Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index, Nat Genet source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Both addiction and obesity reflect imbalances in the responses of the brain to rewarding stimuli in the environment.”
§ The Addictive Dimensionality of Obesity > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Disruption in both the neurobiological processes that underlie sensitivity to reward and those that underlie inhibitory control can lead to compulsive food intake in some individuals and compulsive drug intake in others.”
§ The Addictive Dimensionality of Obesity > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“For obesity, this imbalance can be triggered by endocrinological abnormalities that change the energetic threshold and modify the sensitivity to food rewards.”
§ The Addictive Dimensionality of Obesity > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes? Based: unclearThe paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“The decision to eat (or not) is not only influenced by the internal state of the caloric equation but also by nonhomeostatic factors, such as food palatability and environmental cues that trigger conditioned responses.”
§ The Addictive Dimensionality of Obesity > Molecular Overlaps: Focus on Dopamine
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- It may state two separate claims as one. 55
- Probably not a substantial claim. 10
In the paper
“Indeed, we showed that subjects who, despite having a high genetic risk for alcoholism (positive family history of alcoholism) were not alcoholics, had higher than normal striatal D2R, which was associated with normal prefrontal metabolism (81) that might have protected them from alcoholism.”
§ The Addictive Dimensionality of Obesity > Neurocircuitry and Behavioral Overlaps > Self-Control and the Ability to Resist Temptation
What the sources say
- Not checked yetcites [81] Volkow, 2006, High levels of dopamine D2 receptors in unaffected members of alcoholic families: Possible protective factors, Arch Gen Psychiatry source
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A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, obesity can also result from easy access to highly palatable food, excessive consumption of which can affect homeostatic signaling and disrupt the sensitivity to food reward.”
§ The Addictive Dimensionality of Obesity > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes? Based: unclearIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We present evidence of shared neurobiological substrates and do not claim that obesity is the result of food addiction but rather that food reward plays a critical role in overeating and obesity, referring to it as the dimensional component of obesity.”
§ The Addictive Dimensionality of Obesity > Abstract
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In the paper
“Moreover, neurons in VTA and/or nucleus accumbens (NAc) express glucagon-like peptide-1 (11,12), ghrelin (13,14), leptin (15,16), insulin (17), orexin (18), and melanocortin receptors (19).”
§ The Addictive Dimensionality of Obesity > Molecular Overlaps: Focus on Dopamine
What the sources say
- Not checked yetcites [11] Alhadeff, 2012, GLP-1 neurons in the nucleus of the solitary tract project directly to the ventral tegmental area and nucleus accumbens to control for food intake, Endocrinology source
- Not checked yetcites [12] Rinaman, 2010, Ascending projections from the caudal visceral nucleus of the solitary tract to brain regions involved in food intake and energy expenditure, Brain Res source
- Not checked yetcites [13] Abizaid, 2006, Ghrelin modulates the activity and synaptic input organization of midbrain dopamine neurons while promoting appetite, J Clin Invest source
- Not checked yetcites [14] Jerlhag, 2007, Ghrelin administration into tegmental areas stimulates locomotor activity and increases extracellular concentration of dopamine in the nucleus accumbens, Addict Biol source
- Not checked yetcites [15] Figlewicz, 2003, Expression of receptors for insulin and leptin in the ventral tegmental area/substantia nigra (VTA/SN) of the rat, Brain Res source
- Not checked yetcites [16] Leshan, 2010, Ventral tegmental area leptin receptor neurons specifically project to and regulate cocaine- and amphetamine-regulated transcript neurons of the extended central amygdala, J Neurosci source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
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In the paper
“There is no homeostatic regulator to check the intake of drugs (including alcohol); thus, regulation of drug consumption is mostly driven by self-control or unwanted effects (i.e., sedation for alcohol).”
§ The Addictive Dimensionality of Obesity > Abstract
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In the paper
“This could explain the association of obesity with genes involved with DA neurotransmission, such as the DRD2 Taq I A1 allele, which has been associated with addiction (4).”
§ The Addictive Dimensionality of Obesity > Genetic Overlaps
What the sources say
- Not checked yetcites [4] Blum, 1996, Increased prevalence of the Taq I A1 allele of the dopamine receptor gene (DRD2) in obesity with comorbid substance use disorder: A preliminary report, Pharmacogenetics source
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In the paper
“Repeated consumption of a drug, on the other hand, can directly disrupt the reward circuit, its main pharmacologic target.”
§ The Addictive Dimensionality of Obesity > Abstract
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In the paper
“Similarly, there are genes at the intersection between reward and homeostatic pathways, like the cannabinoid receptor 1 (CNR1) gene, variations in which have been associated with BMI and obesity risk by most studies (5), as well as with addiction (6).”
§ The Addictive Dimensionality of Obesity > Genetic Overlaps
What the sources say
- Not checked yetcites [5] Schleinitz, 2010, Role of genetic variation in the cannabinoid type 1 receptor gene (CNR1) in the pathophysiology of human obesity, Pharmacogenomics source
- Not checked yetcites [6] Benyamina, 2010, CNR1 gene polymorphisms in addictive disorders: A systematic review and a meta-analysis, Addict Biol source
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The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Though food intake and body weight are under homeostatic regulation, when highly palatable food is available, the ability to resist the urge to eat hinges on self-control.”
§ The Addictive Dimensionality of Obesity > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes? Based: unclearIt may state two separate claims as one.
In the paper
“Overall, homeostatic orexigenic signals increase the activity of ventral tegmental area (VTA) DA cells when exposed to food stimuli, whereas anorexigenic ones inhibit DA firing and decrease DA release (10).”
§ The Addictive Dimensionality of Obesity > Molecular Overlaps: Focus on Dopamine
What the sources say
- Not checked yetcites [10] Opland, 2011, Modulation of the mesolimbic dopamine system by leptin, Brain Res source
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In the paper
“And, let us also remember in this context that endogenous opioids are involved in hedonic responses to food and to drugs and that the functional A118G polymorphism in the μ-opioid receptor gene (OPRM1) has been associated with vulnerability for binge-eating disorders (7) and alcoholism (8).”
§ The Addictive Dimensionality of Obesity > Genetic Overlaps
What the sources say
- Not checked yetcites [7] Davis, 2009, Dopamine for “wanting“ and opioids for “liking“: A comparison of obese adults with and without binge eating, Obesity (Silver Spring) source
- Not checked yetcites [8] Ray, 2011, The role of the Asn40Asp polymorphism of the mu opioid receptor gene (OPRM1) on alcoholism etiology and treatment: A critical review, Alcohol Clin Exp Res source
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A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“There is increasing evidence that disruption of energy homeostasis can affect the reward circuitry and that overconsumption of rewarding food can lead to changes in the reward circuitry that result in compulsive food intake akin to the phenotype seen with addiction.”
§ The Addictive Dimensionality of Obesity > Abstract
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A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We propose that these two diseases share neurobiological processes that, when disrupted, can result in compulsive consumption, while also involving unique neurobiological processes.”
§ The Addictive Dimensionality of Obesity > Abstract
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In the paper
“This is particularly true whenever high-calorie content food is widely available, not just as a source of nutrition, but also as a strong reward that, by itself, promotes eating.”
§ The Addictive Dimensionality of Obesity > Genetic Overlaps
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
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In the paper
“The magnitude of these DA increases in addicted subjects predicts the intensity of cue-induced cravings (48), and in animals, they predict the effort that an animal is willing to exert to get the drug (49).”
§ The Addictive Dimensionality of Obesity > Neurocircuitry and Behavioral Overlaps > Reward, Conditioning, and Motivation
What the sources say
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In the paper
“Similarly, human studies found an inverse relationship between BMI and illicit drug use (21) and a lower risk for substance use disorders in obese individuals (22), including lower rates of nicotine (23) and marijuana (24) abuse.”
§ The Addictive Dimensionality of Obesity > Molecular Overlaps: Focus on Dopamine
What the sources say
- Not checked yetcites [21] Bluml, 2012, Relationship between substance use and body mass index in young males, Am J Addict source
- Not checked yetcites [22] Simon, 2006, Association between obesity and psychiatric disorders in the US adult population, Arch Gen Psychiatry source
- Not checked yetcites [23] Blendy, 2005, Reduced nicotine reward in obesity: Cross-comparison in human and mouse, Psychopharmacology (Berl) source
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A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Since drugs activate brain reward pathways more potently than food, this helps explain (together with homeostatic satiety mechanisms) the greater ability of drugs to induce loss of control and compulsive consummatory behavior.”
§ The Addictive Dimensionality of Obesity > Molecular Overlaps: Focus on Dopamine
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“For example, upon first exposure to a food reward, the firing of DA neurons in the VTA increases with a resulting increase in DA release in the NAc (32).”
§ The Addictive Dimensionality of Obesity > Molecular Overlaps: Focus on Dopamine
What the sources say
- Not checked yetcites [32] Norgren, 2006, Gustatory reward and the nucleus accumbens, Physiol Behav source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“This possibility is consistent with a recent report in which a D1-like antagonist blocked and a D2-like antagonist increased the reinstatement of food-seeking behavior (37).”
§ The Addictive Dimensionality of Obesity > Molecular Overlaps: Focus on Dopamine
What the sources say
- Not checked yetcites [37] Ball, 2011, Opposing roles for dopamine D1- and D2-like receptors in discrete cue-induced reinstatement of food seeking, Behav Brain Res source
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In the paper
“Surprisingly, both addicted and obese subjects exhibit less activation of reward circuits when given the drug or the palatable food, respectively (45).”
§ The Addictive Dimensionality of Obesity > Neurocircuitry and Behavioral Overlaps > Reward, Conditioning, and Motivation
What the sources say
- Not checked yetcites [45] Stice, 2008, Relation of reward from food intake and anticipated food intake to obesity: A functional magnetic resonance imaging study, J Abnorm Psychol source
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A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Moreover, since the increases in DA induced by the conditioned stimulus predict the behavioral price the animal is willing to pay to receive it, this will ensure that the motivational drive (fueled by DA signaling) occurs before the animal is eating the food itself.”
§ The Addictive Dimensionality of Obesity > Molecular Overlaps: Focus on Dopamine
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In the paper
“Indeed, DA-deficient mice die of starvation, likely as a result of a decreased motivation to consume the food, and replenishing the dorsal striatum with DA restores feeding and rescues them (28).”
§ The Addictive Dimensionality of Obesity > Molecular Overlaps: Focus on Dopamine
What the sources say
- Not checked yetcites [28] Palmiter, 2008, Dopamine signaling in the dorsal striatum is essential for motivated behaviors: Lessons from dopamine-deficient mice, Ann N Y Acad Sci source
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In the paper
“Consistent with preclinical studies, imaging studies have also shown that anorexigenic peptides (e.g., insulin, leptin, peptide YY) decrease the sensitivity of the brain reward system to food reward, whereas orexigenic ones (e.g., ghrelin,) increase it [see review (44)].”
§ The Addictive Dimensionality of Obesity > Neurocircuitry and Behavioral Overlaps > Reward, Conditioning, and Motivation
What the sources say
- Not checked yetcites [44] Volkow, 2011, Reward, dopamine and the control of food intake: Implications for obesity, Trends Cogn Sci source
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In the paper
“Drugs of abuse work by activating the DA reward circuit, which, if chronic, in vulnerable individuals, can result in addiction.”
§ The Addictive Dimensionality of Obesity > Neurocircuitry and Behavioral Overlaps > Reward, Conditioning, and Motivation
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Indeed, high-calorie foods can promote overeating (i.e., eating that is uncoupled from energetic needs) and trigger learned associations between the stimulus and the reward (conditioning).”
§ The Addictive Dimensionality of Obesity > Neurocircuitry and Behavioral Overlaps > Reward, Conditioning, and Motivation
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In the paper
“Moreover, interventions that decrease BMI and reduce plasma levels of insulin and leptin enhance the sensitivity to psychostimulant drugs (25),”
§ The Addictive Dimensionality of Obesity > Molecular Overlaps: Focus on Dopamine
What the sources say
- Not checked yetcites [25] Davis, 2010, Insulin, leptin and reward, Trends Endocrinol Metab source
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In the paper
“Since this is not what is seen in the clinic, it was suggested that blunted DA activation by consumption (of drug or food) could trigger overconsumption to compensate for the blunted response of the reward circuit (46).”
§ The Addictive Dimensionality of Obesity > Neurocircuitry and Behavioral Overlaps > Reward, Conditioning, and Motivation
What the sources say
- Not checked yetcites [46] Stice, 2008, Relation between obesity and blunted striatal response to food is moderated by TaqIA A1 allele, Science source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
None of the sources cited for this claim have been checked yet.
In the paper
“In humans, the ingestion of palatable food releases DA in the striatum in proportion to the ratings of meal pleasantness (42) and activates reward circuitry (43).”
§ The Addictive Dimensionality of Obesity > Neurocircuitry and Behavioral Overlaps > Reward, Conditioning, and Motivation
What the sources say
- Not checked yetcites [42] Small, 2003, Feeding-induced dopamine release in dorsal striatum correlates with meal pleasantness ratings in healthy human volunteers, Neuroimage source
- Not checked yetcites [43] Volkow, 2008, Overlapping neuronal circuits in addiction and obesity: Evidence of systems pathology, Philos Trans R Soc Lond B Biol Sci source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Certain foods, particularly those rich in sugars and fat, are also potently rewarding (40) and can trigger addictive like behaviors in laboratory animals (41) and humans (27).”
§ The Addictive Dimensionality of Obesity > Neurocircuitry and Behavioral Overlaps > Reward, Conditioning, and Motivation
What the sources say
- Not checked yetcites [40] Lenoir, 2007, Intense sweetness surpasses cocaine reward, PLoS One source
- Not checked yetcites [41] Avena, 2008, Evidence for sugar addiction: Behavioral and neurochemical effects of intermittent, excessive sugar intake, Neurosci Biobehav Rev source
- Not checked yetcites [27] Volkow, 2007, Issues for DSM-V: Should obesity be included as a brain disorder?, Am J Psychiatry source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Brain DA pathways, which modulate the behavioral responses to environmental stimuli, play central roles in obesity (also in addiction).”
§ The Addictive Dimensionality of Obesity > Molecular Overlaps: Focus on Dopamine
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In the paper
“In the striatum, D2 receptors mediate signaling through the indirect pathway that modulates frontocortical regions, and its down-regulation enhances drug sensitization in animal models (74), whereas its upregulation interferes with drug consumption (75).”
§ The Addictive Dimensionality of Obesity > Neurocircuitry and Behavioral Overlaps > Self-Control and the Ability to Resist Temptation
What the sources say
- Not checked yetcites [74] Ferguson, 2011, Transient neuronal inhibition reveals opposing roles of indirect and direct pathways in sensitization, Nat Neurosci source
- Not checked yetcites [75] Thanos, 2008, D2R DNA transfer into the nucleus accumbens attenuates cocaine self-administration in rats, Synapse source
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In the paper
“Still, stress is associated with increased consumption of palatable foods and weight gain and a potentiated OFC activation to food rewards (57).”
§ The Addictive Dimensionality of Obesity > Neurocircuitry and Behavioral Overlaps > Reward, Conditioning, and Motivation
What the sources say
- Not checked yetcites [57] Rudenga, 2012, Acute stress potentiates brain response to milkshake as a function of body weight and chronic stress [published online ahead of print March 20], Int J Obes (Lond)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“Also, when cocaine-addicted subjects purposefully inhibited craving when exposed to drug cues, those who were successful decreased metabolism in medial OFC (processes motivational value of a reinforcer) and NAc (predicts reward) (55), consistent with the involvement of OFC, ACC, and striatum in the enhanced motivation to procure the drug seen in addiction.”
§ The Addictive Dimensionality of Obesity > Neurocircuitry and Behavioral Overlaps > Reward, Conditioning, and Motivation
What the sources say
- Not checked yetcites [55] Volkow, 2009, Cognitive control of drug craving inhibits brain reward regions in cocaine abusers, Neuroimage source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Indeed, DA also modulates motivation and persistence (58).”
§ The Addictive Dimensionality of Obesity > Neurocircuitry and Behavioral Overlaps > Reward, Conditioning, and Motivation
What the sources say
- Not checked yetcites [58] Salamone, 2007, Effort-related functions of nucleus accumbens dopamine and associated forebrain circuits, Psychopharmacology (Berl) source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Indeed, several lines of research support a functional link between OFC impairment and disordered eating, including the reported association between disinhibited eating in obese adolescents and reduced OFC volume (66).”
§ The Addictive Dimensionality of Obesity > Neurocircuitry and Behavioral Overlaps > Reward, Conditioning, and Motivation
What the sources say
- Not checked yetcites [66] Maayan, 2011, Disinhibited eating in obese adolescents is associated with orbitofrontal volume reductions and executive dysfunction, Obesity (Silver Spring) source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“It appears as if DA activation of the striatum by cues (including drug-related contexts) is involved with the desire (wanting), as the trigger of behaviors geared toward consuming the desired reward.”
§ The Addictive Dimensionality of Obesity > Neurocircuitry and Behavioral Overlaps > Reward, Conditioning, and Motivation
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“There is evidence that the OFC also supports conditioned cue-elicited feeding (64) and that it contributes to overeating, irrespective of hunger signals (65).”
§ The Addictive Dimensionality of Obesity > Neurocircuitry and Behavioral Overlaps > Reward, Conditioning, and Motivation
What the sources say
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Similarly, a pre-existing dysfunction of prefrontal regions could also underlie the vulnerability for excessive drug or food consumption, which would be further exacerbated by decreases in striatal D2R (either drug- or stress-induced; it is unclear whether obesogenic diets decrease striatal D2R).”
§ The Addictive Dimensionality of Obesity > Neurocircuitry and Behavioral Overlaps > Self-Control and the Ability to Resist Temptation
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
In the paper
“Moreover, inhibition of striatal D2R or activation of D1 receptor-expressing striatal neurons (mediate signaling in the striatal direct pathway) enhances the sensitivity to drug rewards (74).”
§ The Addictive Dimensionality of Obesity > Neurocircuitry and Behavioral Overlaps > Self-Control and the Ability to Resist Temptation
What the sources say
- Not checked yetcites [74] Ferguson, 2011, Transient neuronal inhibition reveals opposing roles of indirect and direct pathways in sensitization, Nat Neurosci source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Dysregulation of striatal D2R signaling has also been implicated in obesity (76,77) and in compulsive food intake in obese rodents (78).”
§ The Addictive Dimensionality of Obesity > Neurocircuitry and Behavioral Overlaps > Self-Control and the Ability to Resist Temptation
What the sources say
- Not checked yetcites [76] de Weijer, 2011, Lower striatal dopamine D2/3 receptor availability in obese compared with non-obese subjects, EJNMMI Res source
- Not checked yetcites [77] Geiger, 2009, Deficits of mesolimbic dopamine neurotransmission in rat dietary obesity, Neuroscience source
- Not checked yetcites [78] Johnson, 2010, Dopamine D2 receptors in addiction-like reward dysfunction and compulsive eating in obese rats, Nat Neurosci source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Indeed, imaging studies showed that when nonobese male subjects were asked to inhibit their craving for food when exposed to food cues, they decreased activity in amygdala, OFC, hippocampus, insula, and striatum; and OFC decreases were associated with reductions in food craving (54).”
§ The Addictive Dimensionality of Obesity > Neurocircuitry and Behavioral Overlaps > Reward, Conditioning, and Motivation
What the sources say
- Not checked yetcites [54] Wang, 2009, Evidence of gender differences in the ability to inhibit brain activation elicited by food stimulation, Proc Natl Acad Sci U S A source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In addition, because impairments in OFC and ACC are associated with compulsive behaviors and impulsivity, impaired modulation of dopamine in these regions is likely to contribute to the compulsive and impulsive patterns of drug (addiction) or food (obesity) intake.”
§ The Addictive Dimensionality of Obesity > Neurocircuitry and Behavioral Overlaps > Self-Control and the Ability to Resist Temptation
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“In contrast to the decreases in prefrontal activity reported in detoxified cocaine abusers when not stimulated with drug or drug cues [see review (59)], ventral and medial prefrontal regions (including OFC and ventral ACC) become activated with exposure to craving-inducing stimuli (either drugs or cues) (60,61).”
§ The Addictive Dimensionality of Obesity > Neurocircuitry and Behavioral Overlaps > Reward, Conditioning, and Motivation
What the sources say
- Not checked yetcites [59] Volkow, 2009, Imaging dopamine's role in drug abuse and addiction, Neuropharmacology source
- Not checked yetcites [60] Grant, 1996, Activation of memory circuits during cue-elicited cocaine craving, Proc Natl Acad Sci U S A source
- Not checked yetcites [61] Wang, 1999, Regional brain metabolic activation during craving elicited by recall of previous drug experiences, Life Sci source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Because drug taking becomes the main motivational drive in addiction, addicted subjects are aroused and motivated by the process of obtaining the drug but withdrawn and apathetic when exposed to non–drug-related activities.”
§ The Addictive Dimensionality of Obesity > Neurocircuitry and Behavioral Overlaps > Reward, Conditioning, and Motivation
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“In contrast, greater volumes of the medial OFC were seen in both bulimia nervosa and binge-eating disorder patients (67), and damage to the OFC in rhesus monkeys has been reported to result in hyperphagia (68).”
§ The Addictive Dimensionality of Obesity > Neurocircuitry and Behavioral Overlaps > Reward, Conditioning, and Motivation
What the sources say
- Not checked yetcites [67] Schafer, 2010, Regional grey matter volume abnormalities in bulimia nervosa and binge-eating disorder, Neuroimage source
- Not checked yetcites [68] Machado, 2007, Measuring reward assessment in a semi-naturalistic context: The effects of selective amygdala, orbital frontal or hippocampal lesions, Neuroscience source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“The OFC is similarly involved in attributing salience value to food (62), helping to assess its expected pleasantness and palatability as a function of its context.”
§ The Addictive Dimensionality of Obesity > Neurocircuitry and Behavioral Overlaps > Reward, Conditioning, and Motivation
What the sources say
- Not checked yetcites [62] Grabenhorst, 2008, How cognition modulates affective responses to taste and flavor: Top-down influences on the orbitofrontal and pregenual cingulate cortices, Cereb Cortex source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Imaging studies revealed that reduced availability of striatal D2R receptors is a consistent abnormality across a wide variety of drug addictions and one that can persist months after detoxification [reviewed in (59)].”
§ The Addictive Dimensionality of Obesity > Neurocircuitry and Behavioral Overlaps > Self-Control and the Ability to Resist Temptation
What the sources say
- Not checked yetcites [59] Volkow, 2009, Imaging dopamine's role in drug abuse and addiction, Neuropharmacology source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“The insula is also a primary gustatory area, which participates in many aspects of eating behaviors, such as taste.”
§ The Addictive Dimensionality of Obesity > Neurocircuitry and Behavioral Overlaps > Awareness of Interoceptive Signals
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“In contrast, subjects who have recovered from anorexia nervosa show less insular activation when tasting sucrose and no association of feelings of pleasantness with insular activation as observed in control subjects (104).”
§ The Addictive Dimensionality of Obesity > Neurocircuitry and Behavioral Overlaps > Awareness of Interoceptive Signals
What the sources say
- Not checked yetcites [104] Wagner, 2008, Altered insula response to taste stimuli in individuals recovered from restricting-type anorexia nervosa, Neuropsychopharmacology source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“The insula, particularly its more anterior regions, is reciprocally connected to several limbic regions and supports interoceptive functions, integrating the autonomic and visceral information with emotion and motivation and providing conscious awareness of these urges (95).”
§ The Addictive Dimensionality of Obesity > Neurocircuitry and Behavioral Overlaps > Awareness of Interoceptive Signals
What the sources say
- Not checked yetcites [95] Naqvi, 2009, The hidden island of addiction: The insula, Trends Neurosci source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“More recently, Parylak et al. (106) have proposed that a similar transition may occur in food addiction with exposure to obesogenic foods.”
§ The Addictive Dimensionality of Obesity > Neurocircuitry and Behavioral Overlaps > Dark Side of the Addictive Dimension
What the sources say
- Not checked yetcites [106] Parylak, 2011, The dark side of food addiction, Physiol Behav source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
None of the sources cited for this claim have been checked yet.
In the paper
“Other studies found significant decreases in blood flow in the prefrontal cortex associated with higher weight in healthy control subjects (84,85), and a functional magnetic resonance imaging study reported impaired executive function in obese women (86).”
§ The Addictive Dimensionality of Obesity > Neurocircuitry and Behavioral Overlaps > Self-Control and the Ability to Resist Temptation
What the sources say
- Not checked yetcites [84] Willeumier, 2012, Elevated body mass in National Football League players linked to cognitive impairment and decreased prefrontal cortex and temporal pole activity, Transl Psychiatry source
- Not checked yetcites [85] Willeumier, 2011, Elevated BMI is associated with decreased blood flow in the prefrontal cortex using SPECT imaging in healthy adults, Obesity (Silver Spring) source
- Not checked yetcites [86] Kishinevsky, 2012, fMRI reactivity on a delay discounting task predicts weight gain in obese women, Appetite source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“For example, a magnetic resonance imaging study of elderly women found a negative correlation between BMI and gray matter volumes (including frontal regions), which, in the OFC, correlated with impaired executive function (83).”
§ The Addictive Dimensionality of Obesity > Neurocircuitry and Behavioral Overlaps > Self-Control and the Ability to Resist Temptation
What the sources say
- Not checked yetcites [83] Walther, 2010, Structural brain differences and cognitive functioning related to body mass index in older females, Hum Brain Mapp source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“For example, when normal weight women tasted a sweetener with calories (sucrose), both the insula and DA midbrain areas became activated, whereas tasting a calorie-free sweetener (sucralose) only activated the insula (103).”
§ The Addictive Dimensionality of Obesity > Neurocircuitry and Behavioral Overlaps > Awareness of Interoceptive Signals
What the sources say
- Not checked yetcites [103] Frank, 2008, Sucrose activates human taste pathways differently from artificial sweetener, Neuroimage source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“The dark side of addiction was initially proposed by Koob and Le Moal (105) to describe the transition that drug-addicted individuals experience between the initial, pleasurable use of drugs to the one that, with repeated use, results in drug consumption to relieve negative emotional states.”
§ The Addictive Dimensionality of Obesity > Neurocircuitry and Behavioral Overlaps > Dark Side of the Addictive Dimension
What the sources say
- Not checked yetcites [105] Koob, 2005, Plasticity of reward neurocircuitry and the 'dark side' of drug addiction, Nat Neurosci source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
In the paper
“The habenula is also implicated in food reward: neurons in the rostromedial tegmental nucleus, which receive a major input from the lateral habenula, project to VTA DA neurons and are activated after food deprivation (110).”
§ The Addictive Dimensionality of Obesity > Neurocircuitry and Behavioral Overlaps > Dark Side of the Addictive Dimension
What the sources say
- Not checked yetcites [110] Jhou, 2009, The rostromedial tegmental nucleus (RMTg), a GABAergic afferent to midbrain dopamine neurons, encodes aversive stimuli and inhibits motor responses, Neuron source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Central to their model is an enhanced sensitivity of the extended amygdala and increased signaling through corticotropin-releasing factor and corticotropin-releasing factor related peptides, which mediate responses to stress.”
§ The Addictive Dimensionality of Obesity > Neurocircuitry and Behavioral Overlaps > Dark Side of the Addictive Dimension
What the sources say
- Not checked yetcites [106] Parylak, 2011, The dark side of food addiction, Physiol Behav source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This model helps explain the proliferating examples of contact points between obesity and addiction, some of which were highlighted in this review.”
§ The Addictive Dimensionality of Obesity > Summary and Implications
Tests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“It is telling that the two largest preventable threats to public health (smoking and obesity) involve the reward circuit that drives the motivation of individuals to consume rewards despite the fact that they are harmful to their health.”
§ The Addictive Dimensionality of Obesity > Summary and Implications
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Thus, an enhanced sensitivity of the habenula, as a result of chronic drug exposure, could underlie a greater reactivity to drug cues and also contribute to dysphoric states during withdrawal.”
§ The Addictive Dimensionality of Obesity > Neurocircuitry and Behavioral Overlaps > Dark Side of the Addictive Dimension
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Similar to other addictive disorders in which perturbations in brain regions within the core and extended reward networks have been reported, a less responsive dopamine system leads to a greater propensity towards obesity 40, 85, 86, 87, 88.”
From History of early life adversity is associated with increased food addiction and sex-specific alterations in reward network connectivity in obesity (2019) · cites this paper as [86]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Cited study does not match the described preclinical finding
MinorThe text cites reference 47 for a preclinical finding about decreased VTA dopamine activity and increased food consumption. Reference 47 is titled as a study of reward-system activation in obese women viewing food pictures, not a preclinical study of dopamine activity or consumption.
“Preclinical studies showing that decreased DA activity in VTA results in a dramatic increase in the consumption of high-fat foods (47) partially support this hypothesis.”
“47. Stoeckel LE Weller RE Cook EW 3rd Twieg DB Knowlton RC Cox JE 2008 Widespread reward-system activation in obese women in response to pictures of high-calorie foods Neuroimage 41 636 647 18413289”
Citations
Cites
Predictive reward signal of dopamine neurons
Schultz, W. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.80.1.1 · Cited by 4,564
Psychopharmacology: The Fourth Generation of Progress
Bloom, F. E., & Kupfer, D. J. (1995) · Medical Entomology and Zoology · Cited by 2,985
Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index
MAGIC, Speliotes, E. K., on behalf of Procardis Consortium, Willer, C. J., Berndt, S. I., Monda, K. L., Thorleifsson, G., Jackson, A. U., Allen, H. L., Lindgren, C. M., et al. (2010) · Nature Genetics · doi:10.1038/ng.686 · Cited by 2,912
Interoception: the sense of the physiological condition of the body
(Bud) Craig, A. (2003) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(03)00090-4 · Cited by 2,556
Haber, S. N., Fudge, J. L., & McFarland, N. R. (2000) · The Journal of Neuroscience · doi:10.1523/jneurosci.20-06-02369.2000 · Cited by 1,610
Dopamine D2 receptors in addiction-like reward dysfunction and compulsive eating in obese rats
Johnson, P. M., & Kenny, P. J. (2010) · Nature Neuroscience · doi:10.1038/nn.2519 · Cited by 1,495
Reward, dopamine and the control of food intake: implications for obesity
Volkow, N. D., Wang, G.-J., & Baler, R. D. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.11.001 · Cited by 1,400
Self-citationSynaptic plasticity and addiction
Kauer, J. A., & Malenka, R. C. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2234 · Cited by 1,397
Avena, N. M., Rada, P., & Hoebel, B. G. (2008) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2007.04.019 · Cited by 1,358
Association between obesity and psychiatric disorders in the US adult population
Simon, G. E., Von Korff, M., Saunders, K., Miglioretti, D. L., Crane, P. K., van Belle, G., & Kessler, R. C. (2006) · Archives of General Psychiatry · doi:10.1001/archpsyc.63.7.824 · Cited by 1,338
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Overweight adolescents’ brain response to sweetened beverages mirrors addiction pathways
Ewing, S. W. F., Claus, E. D., Hudson, K. A., Filbey, F. M., Jimenez, E. Y., Lisdahl, K. M., & Kong, A. S. (2016) · Brain Imaging and Behavior · doi:10.1007/s11682-016-9564-z · Cited by 47
Sauvaget, A., Bulteau, S., Guilleux, A., Leboucher, J., Pichot, A., Valrivière, P., Vanelle, J., Sebille, V., & Grall‐Bronnec, M. (2018) · Journal of Behavioral Addictions · doi:10.1556/2006.7.2018.14 · Cited by 45
Assessing and Treating Alcohol Relapse Risk in Liver Transplantation Candidates
Dom, G., Wojnar, M., Crunelle, C. L., Thon, N., Bobes, J., Preuss, U. W., Addolorato, G., Seitz, H. K., & Wurst, F. (2015) · Alcohol and Alcoholism · doi:10.1093/alcalc/agu096 · Cited by 44
Modulation of Irisin and Physical Activity on Executive Functions in Obesity and Morbid obesity
Fagundo, A. B., Jiménez‐Múrcia, S., Giner‐Bartolomé, C., Agüera, Z., Sauchelli, S., Pardo, M., Crujeiras, A. B., Granero, R., Baños, R., Botella, C., et al. (2016) · Scientific Reports · doi:10.1038/srep30820 · Cited by 46
Avery, J. A., Powell, J. N., Breslin, F. J., Lepping, R. J., Martin, L. E., Patrician, T. M., Donnelly, J. E., Savage, C. R., & Simmons, W. K. (2017) · Journal of Psychopharmacology · doi:10.1177/0269881117728429 · Cited by 50
Brief exposure to obesogenic diet disrupts brain dopamine networks
Barry, R. L., Byun, N. E., Williams, J. M., Siuta, M., Tantawy, M. N., Speed, N. K., Saunders, C., Galli, A., Niswender, K. D., & Avison, M. J. (2018) · PLoS ONE · doi:10.1371/journal.pone.0191299 · Cited by 44
The relationship of food addiction with binge eating disorder and obesity: A network analysis study
Carbone, E. A., Aloi, M., Rania, M., de Filippis, R., Quirino, D., Fiorentino, T. V., & Segura‐Garcìa, C. (2023) · Appetite · doi:10.1016/j.appet.2023.107037 · Cited by 43
Loss of Control over Eating: A Description of the Eating Disorder/Obesity Spectrum in Women
Villarejo, C., Jiménez‐Múrcia, S., Álvarez‐Moya, E. M., Granero, R., Penelo, E., Treasure, J. L., Vilarrasa, N., de Bernabé, M. M., Casanueva, F. F., Tinahones, F. J., et al. (2013) · European Eating Disorders Review · doi:10.1002/erv.2267 · Cited by 48
Brenes, J. C., & Schwarting, R. K. W. (2015) · Physiology & Behavior · doi:10.1016/j.physbeh.2015.05.012 · Cited by 45
Davis, C. A. (2013) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2013.00183 · Cited by 42
Wölnerhanssen, B. K., Meyer‐Gerspach, A. C., Schmidt, A., Zimak, N., Peterli, R., Beglinger, C., & Borgwardt, S. (2015) · PLoS ONE · doi:10.1371/journal.pone.0130280 · Cited by 44
The Genetics, Neurogenetics and Pharmacogenetics of Addiction
Demers, C. H., Bogdan, R., & Arpana Agrawal, A. (2014) · Current Behavioral Neuroscience Reports · doi:10.1007/s40473-013-0004-8 · Cited by 41
McMurray, M. S., Amodeo, L. R., & Roitman, J. D. (2015) · Neuropsychopharmacology · doi:10.1038/npp.2015.288 · Cited by 40
Li, G., Hu, Y., Zhang, W., Ding, Y., Wang, Y., Wang, J., He, Y., Lv, G., von Deneen, K. M., Zhao, Y., et al. (2020) · Addiction Biology · doi:10.1111/adb.12974 · Cited by 40
Self-citationMorales, I. (2022) · Appetite · doi:10.1016/j.appet.2022.106146 · Cited by 39
Codella, R., Terruzzi, I., & Luzi, L. (2016) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.10.035 · Cited by 40
Opioid antagonists in broadly defined behavioral addictions: a narrative review
Piquet‐Pessôa, M., & Fontenelle, L. F. (2016) · Expert Opinion on Pharmacotherapy · doi:10.1517/14656566.2016.1145660 · Cited by 38
Capusan, A. J., Yao, S., Kuja‐Halkola, R., Bulik, C. M., Thornton, L. M., Bendtsen, P., Marteinsdóttir, Í., Thorsell, A., & Larsson, H. (2017) · Psychological Medicine · doi:10.1017/s0033291717001416 · Cited by 40
Determination of neurotensin projections to the ventral tegmental area in mice
Woodworth, H. L., Brown, J. A., Batchelor, H. M., Bugescu, R., & Leinninger, G. M. (2018) · Neuropeptides · doi:10.1016/j.npep.2018.02.003 · Cited by 40
Hedonic sensitivity to natural rewards is affected by prenatal stress in a sex-dependent manner
Reynaert, M., Marrocco, J., Mairesse, J., Lionetto, L., Simmaco, M., Deruyter, L., Allorge, D., Moles, A., Pittaluga, A., Maccari, S., et al. (2015) · Addiction Biology · doi:10.1111/adb.12270 · Cited by 37
Bile diversion, a bariatric surgery, and bile acid signaling reduce central cocaine reward
Reddy, I. A., Smith, N. K., Erreger, K., Ghose, D., Saunders, C., Foster, D. J., Turner, B. D., Poe, A. M., Albaugh, V. L., McGuinness, O. P., et al. (2018) · PLoS Biology · doi:10.1371/journal.pbio.2006682 · Cited by 37
Simon, J. J., Skunde, M., Sinno, M. H., Brockmeyer, T., Herpertz, S. C., Bendszus, M., Herzog, W., & Friederich, H. (2014) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2014.00359 · Cited by 35
Kroemer, N. B., Sun, X., Veldhuizen, M. G., Babbs, A. E., de Araújo, I. E., & Small, D. M. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.12.031 · Cited by 34
Wang, Y., Ji, G., Hu, Y., Li, G., Ding, Y., Hu, C., Liu, L., Zhang, W., von Deneen, K. M., Han, Y., et al. (2019) · Surgery for Obesity and Related Diseases · doi:10.1016/j.soard.2019.09.074 · Cited by 34
Self-citationNeuropharmacology of compulsive eating
Moore, C. F., Panciera, J. I., Sabino, V., & Cottone, P. (2018) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2017.0024 · Cited by 34
Brody, G. H., Yu, T., Miller, G. E., Ehrlich, K. B., & Chen, E. (2018) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12968 · Cited by 36
Shared neurocircuitry underlying feeding and drugs of abuse in Drosophila
Landayan, D., & Wolf, F. W. (2015) · Biomedical Journal · doi:10.1016/j.bj.2016.01.004 · Cited by 32
Anastasio, N. C., Stutz, S. J., Price, A. E., Davis-Reyes, B. D., Sholler, D. J., Ferguson, S. M., Neumaier, J. F., Moeller, F. G., Hommel, J. D., & Cunningham, K. A. (2019) · Neuropsychopharmacology · doi:10.1038/s41386-019-0394-8 · Cited by 33
Food addiction comorbid to mental disorders: A nationwide survey and register‐based study
Horsager, C., Færk, E., Lauritsen, M. B., & Østergaard, S. D. (2021) · International Journal of Eating Disorders · doi:10.1002/eat.23472 · Cited by 37
Pepino, M. Y., Eisenstein, S. A., Bischoff, A. N., Klein, S., Moerlein, S. M., Perlmutter, J. S., BLACK, K. J., & Hershey, T. G. (2016) · Diabetes · doi:10.2337/db16-0407 · Cited by 32
Makori, W. A., Kibiti, C. M., Njagi, J. M., & Ngugi, M. P. (2019) · Behavioural Neurology · doi:10.1155/2019/7359235 · Cited by 32
Relaxin-3 mRNA levels in nucleus incertus correlate with alcohol and sucrose intake in rats
Ryan, P. J., Krstew, E., Sarwar, M., Gundlach, A. L., & Lawrence, A. J. (2014) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2014.04.017 · Cited by 30
Valenza, M., Steardo, L., Cottone, P., & Sabino, V. (2015) · Psychopharmacology · doi:10.1007/s00213-015-3981-3 · Cited by 30
Altered Decision-Making under Risk in Obesity
Navas, J. F., Vilar‐López, R., Perales, J. C., Steward, T., Fernández‐Aranda, F., & Verdejo‐García, A. (2016) · PLoS ONE · doi:10.1371/journal.pone.0155600 · Cited by 30
Stress psychobiology in the context of addiction medicine
Lemieux, A., & al'Absi, M. (2016) · Progress in Brain Research · doi:10.1016/bs.pbr.2015.08.001 · Cited by 29
Chami, R., Cardi, V., Lautarescu, A., Mallorquí‐Bagué, N., & McLoughlin, G. (2019) · International Review of Psychiatry · doi:10.1080/09540261.2019.1622515 · Cited by 29
Dickhut, C., Hase, C., Gruner‐Labitzke, K., Mall, J. W., Köhler, H., de Zwaan, M., & Müller, A. (2021) · European Eating Disorders Review · doi:10.1002/erv.2857 · Cited by 30
Kvaløy, K., Holmen, J., Hveem, K., & Holmen, T. L. (2015) · PLoS ONE · doi:10.1371/journal.pone.0139632 · Cited by 31
Kasper, J. M., McCue, D. L., Milton, A. J., Szwed, A., Sampson, C. M., Huang, M., Carlton, S., Meltzer, H. Y., Cunningham, K. A., & Hommel, J. D. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2016.02.031 · Cited by 28
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Bumb, J. M., Bach, P., Grosshans, M., Wagner, X., Koopmann, A., Vollstädt‐Klein, S., Schuster, R., Wiedemann, K., & Kiefer, F. (2020) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-020-01224-w · Cited by 30
Melis, M., & Pistis, M. (2014) · Pharmacological Research · doi:10.1016/j.phrs.2014.03.009 · Cited by 27
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Cenci, M. A., Francardo, V., O’Sullivan, S. S., & Lindgren, H. S. (2015) · Neurobiology of Disease · doi:10.1016/j.nbd.2015.08.026 · Cited by 27
Haass‐Koffler, C. L., Goodyear, K., Long, V. M., Tran, H. H., Loche, A., Cacciaglia, R., Swift, R. M., & Leggio, L. (2017) · European Journal of Pharmaceutical Sciences · doi:10.1016/j.ejps.2017.07.031 · Cited by 26
Gold, M. S., & Avena, N. M. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.04.022 · Cited by 25
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Gold, M. S., Badgaiyan, R. D., & Blum, K. (2015) · Psychiatric Clinics of North America · doi:10.1016/j.psc.2015.05.011 · Cited by 27
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Contoreggi, C. S. (2014) · Nuclear Medicine and Biology · doi:10.1016/j.nucmedbio.2014.11.008 · Cited by 26
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Brenes, J. C., & Schwarting, R. K. W. (2014) · PLoS ONE · doi:10.1371/journal.pone.0102414 · Cited by 23
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Sasaki, T., Matsui, S., & Kitamura, T. (2016) · International Journal of Molecular Sciences · doi:10.3390/ijms17071081 · Cited by 27
Trace Amine Associated Receptor 1 (TAAR1) Modulation of Food Reward
Moore, C. F., Sabino, V., & Cottone, P. (2018) · Frontiers in Pharmacology · doi:10.3389/fphar.2018.00129 · Cited by 24
Chiappetta, S., Stier, C. K., Hadid, M. A., Malo, N., Theodoridou, S., Weiner, R. A., & Weiner, S. R. (2020) · Obesity Facts · doi:10.1159/000506838 · Cited by 24
Stefanovics, E. A., Potenza, M. N., & Pietrzak, R. H. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.04.005 · Cited by 24
Intermittent access to a sucrose solution for rats causes long-term increases in consumption
Eikelboom, R., & Hewitt, R. (2016) · Physiology & Behavior · doi:10.1016/j.physbeh.2016.07.002 · Cited by 23
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Aloi, M., Liuzza, M. T., Rania, M., Carbone, E. A., de Filippis, R., Gearhardt, A. N., & Segura‐Garcìa, C. (2024) · Journal of Behavioral Addictions · doi:10.1556/2006.2023.00074 · Cited by 22
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Rossetti, C., Halfon, O., & Boutrel, B. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.01205 · Cited by 25
Cavicchioli, M., Vassena, G., Movalli, M., & Maffei, C. (2018) · Journal of Addictive Diseases · doi:10.1080/10550887.2019.1643211 · Cited by 24
Sprow, G. M., Rinker, J. A., Lowery-Gointa, E. G., Sparrow, A. M., Navarro, M., & Thiele, T. E. (2015) · Addiction Biology · doi:10.1111/adb.12264 · Cited by 22
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Pujol, J., Blanco‐Hinojo, L., Martínez‐Vilavella, G., Deus, J., Pérez, V., & Sunyer, J. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab092 · Cited by 22
Grundeis, F., Brand, C., Kumar, S., Rullmann, M., Mehnert, J., & Pleger, B. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00334 · Cited by 21
Li, L., Yu, H., Zhong, M., Liu, S., Wei, W., Meng, Y., Li, M., Li, T., & Wang, Q. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.955741 · Cited by 25
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Pak, K., Kim, S., & Kim, I. J. (2017) · Nuclear Medicine and Molecular Imaging · doi:10.1007/s13139-017-0483-8 · Cited by 23
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Wang, G., Kojori, E. S., Yuan, K., Wiers, C. E., Manza, P., Wong, C., Fowler, J. S., & Volkow, N. D. (2019) · International Journal of Obesity · doi:10.1038/s41366-019-0484-z · Cited by 21
Self-citationDucrocq, F., Hyde, A., Fanet, H., Oummadi, A., Walle, R., Smedt, V. D., Layé, S., Ferreira, G., Trifilieff, P., & Vancassel, S. (2018) · Obesity · doi:10.1002/oby.22358 · Cited by 20
Jamali, S., Zarrabian, S., & Haghparast, A. (2021) · Neuropharmacology · doi:10.1016/j.neuropharm.2021.108764 · Cited by 22
Tan, Z., Hu, Y., Ji, G., Li, G., Ding, Y., Zhang, W., Wang, J., Jia, Z., Zhang, L., Li, H., et al. (2022) · Brain Topography · doi:10.1007/s10548-022-00906-z · Cited by 20
Self-citationBarnes, C. N., Wallace, C. W., Jacobowitz, B. S., & Fordahl, S. C. (2020) · Nutritional Neuroscience · doi:10.1080/1028415x.2019.1707421 · Cited by 24
Sensory cue reactivity: Sensitization in alcohol use disorder and obesity
Agarwal, K., Manza, P., Leggio, L., Livinski, A. A., Volkow, N. D., & Joseph, P. V. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.02.014 · Cited by 19
Self-citationDeep brain stimulation for obesity: past, present, and future targets
Dupré, D. A., Tomycz, N. D., Oh, M. Y., & Whiting, D. M. (2015) · Neurosurgical FOCUS · doi:10.3171/2015.3.focus1542 · Cited by 22
Neural systems mediating the inhibition of cocaine-seeking behaviors
Ewald, V. A. M., & LaLumiere, R. T. (2017) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2017.07.006 · Cited by 20
Phenotypic and genetic relationship between BMI and cigarette smoking in a sample of UK adults
Wills, A. G., & Hopfer, C. J. (2018) · Addictive Behaviors · doi:10.1016/j.addbeh.2018.09.025 · Cited by 19
Smith, A. E., Kasper, J. M., Ara, Anastasio, N. C., & Hommel, J. D. (2019) · Nutrients · doi:10.3390/nu11020327 · Cited by 19
Michaelides, M., Miller, M. L., DiNieri, J. A., Gomez, J. L., Schwartz, E. K. C., Egervári, G., Wang, G. J., Mobbs, C. V., Volkow, N. D., & Hurd, Y. L. (2017) · Neuropsychopharmacology · doi:10.1038/npp.2017.112 · Cited by 18
Self-citationFood Addiction and Its Potential Links with Weight Stigma
Reid, J. D., O’Brien, K., Puhl, R. M., Hardman, C. A., & Carter, A. (2018) · Current Addiction Reports · doi:10.1007/s40429-018-0205-z · Cited by 18
Defining Dysbiosis in Disorders of Movement and Motivation
Fields, C. T., Sampson, T. R., Bruce‐Keller, A. J., Kiraly, D. D., Hsiao, E. Y., & Vries, G. J. D. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.1672-18.2018 · Cited by 18
Lichenstein, S. D., Jones, B. L., O’Brien, J. W., Zezza, N., Stiffler, S., Holmes, B., & Hill, S. Y. (2014) · Pharmacogenomics · doi:10.2217/pgs.14.86 · Cited by 19
Júnior, A. E. D. S., Gearhardt, A. N., & Bueno, N. B. (2023) · Appetite · doi:10.1016/j.appet.2023.106572 · Cited by 17
Rodríguez‐Rivera, C., Pérez‐García, C., Muñoz‐Rodríguez, J. R., Vicente‐Rodríguez, M., Polo, F., Ford, R. M., Segura, E., León, A., Salas, E., Sáenz-Mateos, L. F., et al. (2018) · World Journal of Surgery · doi:10.1007/s00268-018-4851-z · Cited by 17
Brain structural differences in monozygotic twins discordant for body mass index
Weise, C. M., Bachmann, T., & Pleger, B. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.07.019 · Cited by 17
Yen, E., & Maron, J. L. (2022) · Frontiers in Pediatrics · doi:10.3389/fped.2021.805763 · Cited by 18
Binge eating in pre-clinical models
Rospond, B., Szpigiel, J., Sadakierska−Chudy, A., & Filip, M. (2014) · Pharmacological Reports · doi:10.1016/j.pharep.2014.11.012 · Cited by 18
Padilla, M. M., Verdejo‐Román, J., Fernández-Serrano, M. J., del Paso, G. A. R., & Verdejo‐García, A. (2018) · Appetite · doi:10.1016/j.appet.2018.08.031 · Cited by 18
Hu, L., Matthews, A. G., Shmueli‐Blumberg, D., Killeen, T. K., Tai, B., & VanVeldhuisen, P. (2018) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2018.06.014 · Cited by 16
Pérez‐Ortiz, J. M., Galiana, A., Salas, E., González‐Martín, C., García‐Rojo, M., & Alguacil, L. F. (2016) · Addiction Biology · doi:10.1111/adb.12389 · Cited by 16
Differences in Insula and Pre-/Frontal Responses during Reappraisal of Food in Lean and Obese Humans
Kumar, S., Grundeis, F., Brand, C., Hwang, H., Mehnert, J., & Pleger, B. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00233 · Cited by 16
Ernährung und psychische Erkrankungen
Libuda, L., Antel, J., Hebebrand, J., & Föcker, M. (2016) · Der Nervenarzt · doi:10.1007/s00115-016-0262-2 · Cited by 17
Bach, P., Grosshans, M., Koopmann, A., Pfeifer, A.-M., Vollstädt‐Klein, S., Otto, M., Kienle, P., Bumb, J. M., & Kiefer, F. (2021) · Appetite · doi:10.1016/j.appet.2021.105237 · Cited by 21
Brain dopamine receptor system is not altered in obesity: Bayesian and frequentist meta‐analyses
Pak, K., & Nummenmaa, L. (2023) · Human Brain Mapping · doi:10.1002/hbm.26534 · Cited by 13
Stigma and the addiction paradigm for obesity: lessons from 1950s A merica
Rasmussen, N. (2014) · Addiction · doi:10.1111/add.12774 · Cited by 15
Rospond, B., Sadakierska−Chudy, A., Kazek, G., Krośniak, M., Bystrowska, B., & Filip, M. (2018) · Pharmacological Reports · doi:10.1016/j.pharep.2018.09.005 · Cited by 15
Invasive and Non-invasive Stimulation of the Obese Human Brain
Pleger, B. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00884 · Cited by 15
Potential role of repetitive transcranial magnetic stimulation in obesity
Khalil, R. B., & Hachem, C. E. (2013) · Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity · doi:10.1007/s40519-013-0088-x · Cited by 15
Jensen, M. E., Klausen, M. K., Bergmann, M., Knudsen, G. M., Vilsbøll, T., Stove, C. P., & Fink‐Jensen, A. (2025) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.70041 · Cited by 14
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Pimpini, L., Kochs, S., Franssen, S., van den Hurk, J., Valente, G., Roebroeck, A. F., Jansen, A. T. M., & Roefs, A. (2022) · Appetite · doi:10.1016/j.appet.2022.106164 · Cited by 16
Scheen, A. J. (2025) · Diabetes Obesity and Metabolism · doi:10.1111/dom.16453 · Cited by 20
Involvement of the dorsomedial prefrontal cortex in high-fat food conditioning in adolescent mice
Rio, D. D., Cano, V., Martín-Ramos, M., Gómez, M., Morales, L., Olmo, N. D., & Ruiz‐Gayo, M. (2015) · Behavioural Brain Research · doi:10.1016/j.bbr.2015.01.039 · Cited by 14
Dynamic regulation of the extracellular matrix in reward memory processes: a question of time
Valeri, J., Gisabella, B., & Pantazopoulos, H. (2023) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2023.1208974 · Cited by 14
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Versace, F., Robinson, J. D., & Cinciripini, P. M. (2023) · Addiction Neuroscience · doi:10.1016/j.addicn.2023.100075 · Cited by 12
Metadata
- Authors
- Volkow, N. D., Wang, G.-J., Tomasi, D., & Baler, R. D.
- Affiliations
- National Institutes of Health (US)
- Brookhaven National Laboratory (US)
- Corresponding author
- Volkow, Nora D.
- Venue
- Biological Psychiatry
- Publisher
- Elsevier BV
- Published
- 2013-05
- Volume
- 73
- Issue
- 9
- Pages
- 811-818
- ISSN
- 0006-3223 (ISSN-L)
- PMC
- PMC4827347
- OpenAlex
- W1981784954
- Semantic Scholar
- 905b6cf49d1dc61cb189ca21cbc230487ef7d212
- Cited by
- 380
- References
- 114
- Citations by year
- 2026: 19 · 2025: 23 · 2024: 17 · 2023: 21 · 2022: 18 · 2021: 25 · 2020: 23 · 2019: 21 · 2018: 37 · 2017: 35 · 2016: 41 · 2015: 50 · 2014: 36 · 2013: 14
- FWCI
- 6.94
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Biological Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- National Institute on Alcohol Abuse and Alcoholism (ZIAAA000550)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Eating Disorders and Behaviors
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Regulation of Appetite and Obesity
- Keywords
- obesity, addiction, compulsive eating, reward systems, energy homeostasis, self-control, inhibitory control, palatable food, drug addiction, neural correlates
- MeSH terms
- Compulsive Behavior, Dopamine, Eating, Homeostasis, Humans, Obesity, Reward, Behavior, Addictive, Prefrontal Cortex
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