2021
Neuroimaging and modulation in obesity and diabetes research: 10th anniversary meeting
Laughlin M, Cooke B, Boutelle K, Savage CR, Kravitz A, Small D, Arvanitakis Z, Martin A, Stoeckel LE. Neuroimaging and modulation in obesity and diabetes research: 10th anniversary meeting. International Journal Of Obesity 2021, 46: 718-725. PMID: 34934178, PMCID: PMC8960390, DOI: 10.1038/s41366-021-01025-8.Peer-Reviewed Original ResearchFat and Carbohydrate Interact to Potentiate Food Reward in Healthy Weight but Not in Overweight or Obesity
Perszyk EE, Hutelin Z, Trinh J, Kanyamibwa A, Fromm S, Davis XS, Wall KM, Flack KD, DiFeliceantonio AG, Small DM. Fat and Carbohydrate Interact to Potentiate Food Reward in Healthy Weight but Not in Overweight or Obesity. Nutrients 2021, 13: 1203. PMID: 33917347, PMCID: PMC8067354, DOI: 10.3390/nu13041203.Peer-Reviewed Original Research
2020
Identification of a brain fingerprint for overweight and obesity
Farruggia MC, van Kooten MJ, Perszyk EE, Burke MV, Scheinost D, Constable RT, Small DM. Identification of a brain fingerprint for overweight and obesity. Physiology & Behavior 2020, 222: 112940. PMID: 32417645, PMCID: PMC7321926, DOI: 10.1016/j.physbeh.2020.112940.Peer-Reviewed Original ResearchConceptsPercent body fatWaist circumferenceBody fatWhole-brain functional connectivityBrain network patternsGlucose toleranceBlood insulinObesityOverweightPathophysiological phenotypesFunctional connectivity networksFunctional connectivityMilkshake consumptionBrain correlatesBrain fingerprintsBMIAdiposityBrainCircumferenceConnectivity networksFatDiabetesPathophysiologyCentral roleInsulin
2019
Processed foods and food reward
Small DM, DiFeliceantonio AG. Processed foods and food reward. Science 2019, 363: 346-347. PMID: 30679360, DOI: 10.1126/science.aav0556.Peer-Reviewed Original Research
2018
Dopamine and diet-induced obesity
DiFeliceantonio AG, Small DM. Dopamine and diet-induced obesity. Nature Neuroscience 2018, 22: 1-2. PMID: 30559474, DOI: 10.1038/s41593-018-0304-0.Peer-Reviewed Original ResearchAccumulating Data to Optimally Predict Obesity Treatment (ADOPT): Recommendations from the Biological Domain
Rosenbaum M, Agurs‐Collins T, Bray MS, Hall KD, Hopkins M, Laughlin M, MacLean PS, Maruvada P, Savage CR, Small DM, Stoeckel L. Accumulating Data to Optimally Predict Obesity Treatment (ADOPT): Recommendations from the Biological Domain. Obesity 2018, 26: s25-s34. PMID: 29575784, PMCID: PMC6945498, DOI: 10.1002/oby.22156.Peer-Reviewed Original ResearchConceptsObesity treatmentSurgical obesity treatmentAdult obesity treatmentTreatment responseBody compositionEnergy homeostasisObesity researchersBrain structuresObesity researchEvidence baseAccumulating DataWeight loss studiesTreatmentBiological measuresHigh-priority measuresIndividual variabilityKey biological factorsBiological factorsResponsePharmacologicalBiomarkersEnvironmental factorsAccumulation of data
2017
DRD2: Bridging the Genome and Ingestive Behavior
Sun X, Luquet S, Small DM. DRD2: Bridging the Genome and Ingestive Behavior. Trends In Cognitive Sciences 2017, 21: 372-384. PMID: 28372879, PMCID: PMC5745142, DOI: 10.1016/j.tics.2017.03.004.Peer-Reviewed Original ResearchConceptsGenetic variantsCommon gene variantsMetabolic dysfunctionNeurocognitive impairmentAppetitive functionsDA signalingCognitive declinePolygenic obesityBrain structures× environment interactionGene variantsConfer riskIngestive behaviorGene × environment interactionsNeurotransmitter dopamineObesityCognitive changesDopamineMetabolic signalsEnvironment interactionPivotal roleRiskSignalingFeedingDysfunction
2016
Reorganization of brain connectivity in obesity
Geha P, Cecchi G, Constable R, Abdallah C, Small DM. Reorganization of brain connectivity in obesity. Human Brain Mapping 2016, 38: 1403-1420. PMID: 27859973, PMCID: PMC6866793, DOI: 10.1002/hbm.23462.Peer-Reviewed Original ResearchConceptsGlobal brain connectivityDorsal attention networkPeripheral metabolic dysfunctionHum Brain MappSuperior parietal lobuleSomatomotor cortexMetabolic dysfunctionVentrolateral prefrontal cortexPremotor areasCaudate nucleusNeurocognitive impairmentObesityAnterior hippocampusVisual cortexBrain regionsParietal lobuleBrain functionPrefrontal cortexBrain connectivityMilkshake consumptionCortexFeeding decisionsBrain organizationInsulaHomeostatic stateInteraction between the obesity-risk gene FTO and the dopamine D2 receptor gene ANKK1/TaqIA on insulin sensitivity
Heni M, Kullmann S, Ahlqvist E, Wagner R, Machicao F, Staiger H, Häring HU, Almgren P, Groop LC, Small DM, Fritsche A, Preissl H. Interaction between the obesity-risk gene FTO and the dopamine D2 receptor gene ANKK1/TaqIA on insulin sensitivity. Diabetologia 2016, 59: 2622-2631. PMID: 27600277, DOI: 10.1007/s00125-016-4095-0.Peer-Reviewed Original ResearchMeSH KeywordsAdipose TissueAdministration, IntranasalAdultAlpha-Ketoglutarate-Dependent Dioxygenase FTOFemaleGenetic Predisposition to DiseaseGenotypeGlucose Tolerance TestHumansInsulinInsulin ResistanceMagnetic Resonance SpectroscopyMaleMiddle AgedObesityPolymorphism, Single NucleotideProtein Serine-Threonine KinasesReceptors, Dopamine D2ConceptsInsulin sensitivityReceptor densityCaudate nucleusDopamine D2 receptor densityFTO obesity-risk alleleANKK1 polymorphismCentral insulin sensitivityIntranasal insulin administrationPeripheral insulin sensitivityBrain insulin sensitivityRisk of obesityDopamine receptor densityD2 receptor availabilityObesity risk allelesD2 receptor densityTübingen Family studyMalmö DietWaist circumferenceFTO SNP rs8050136FTO variationInsulin administrationD2 receptorsFood intakeBody fatBody compositionFuel not fun: Reinterpreting attenuated brain responses to reward in obesity
Kroemer NB, Small DM. Fuel not fun: Reinterpreting attenuated brain responses to reward in obesity. Physiology & Behavior 2016, 162: 37-45. PMID: 27085908, PMCID: PMC4971522, DOI: 10.1016/j.physbeh.2016.04.020.Peer-Reviewed Original ResearchConceptsFood-related stimuliBrain responsesReward-related learningReward sensitivityReward deficiencyReduced reward sensitivityPrimary food rewardReward receiptMilkshake receiptStriatal responsesReward deficitsFood rewardSubjective valueReinforcement learning frameworkRewardDopamine signalingFood anticipationDorsal striatumAnhedoniaAnticipatoryDopaminergic regionsStimuliConsummatory responsesAlternative viewLearning
2015
Greater perceived ability to form vivid mental images in individuals with high compared to low BMI
Patel BP, Aschenbrenner K, Shamah D, Small DM. Greater perceived ability to form vivid mental images in individuals with high compared to low BMI. Appetite 2015, 91: 185-189. PMID: 25865661, DOI: 10.1016/j.appet.2015.04.005.Peer-Reviewed Original ResearchConceptsImagery abilityMental imagery abilityFrequent food cravingsFood cue reactivityVivid mental imagesHierarchical regression analysisMental imageryOlfactory imageryCue reactivityVisual objectsMental imagesFood cravingsPositive associationSecond experimentSignificant positive associationBest predictorParticipantsIndividualsAbilityImageryCravingObese individualsMeasuresRegression analysisCorrelation analysis
2014
Working memory and reward association learning impairments in obesity
Coppin G, Nolan-Poupart S, Jones-Gotman M, Small DM. Working memory and reward association learning impairments in obesity. Neuropsychologia 2014, 65: 146-155. PMID: 25447070, PMCID: PMC4259845, DOI: 10.1016/j.neuropsychologia.2014.10.004.Peer-Reviewed Original ResearchConceptsHealthy weight individualsNegative outcomesExplicit learningReward association learningProbabilistic learning taskFunction of groupHealthy weight groupObese individualsReward associationsStimulus-rewardExecutive functionAssociation learningLearning taskExperiment 1Learning impairmentHealthy weightParadoxical preferenceWeight individualsPositive outcomesMemoryWeight groupInfluence of obesitySecond experimentCurrent studyDeficits
2013
Neural Correlates of Stress- and Food Cue–Induced Food Craving in Obesity Association with insulin levels
Jastreboff AM, Sinha R, Lacadie C, Small DM, Sherwin RS, Potenza MN. Neural Correlates of Stress- and Food Cue–Induced Food Craving in Obesity Association with insulin levels. Diabetes Care 2013, 36: 394-402. PMID: 23069840, PMCID: PMC3554293, DOI: 10.2337/dc12-1112.Peer-Reviewed Original ResearchConceptsFood cuesFood cravingsStress cuesBrain responsesSubjective food cravingsFavorite-food cuesBrain regionsInsulin levelsNeural correlatesBrain activationHOMA-IRObese individualsInsulin sensitivityFood motivationNeural activityFunctional MRICuesCravingHOMA-IR levelsNeurocircuitryLean subjectsInsulin resistanceLean individualsObesity associationHypothalamic regions
2012
Midbrain response to milkshake correlates with ad libitum milkshake intake in the absence of hunger
Nolan-Poupart S, Veldhuizen MG, Geha P, Small DM. Midbrain response to milkshake correlates with ad libitum milkshake intake in the absence of hunger. Appetite 2012, 60: 168-174. PMID: 23064394, PMCID: PMC3526000, DOI: 10.1016/j.appet.2012.09.032.Peer-Reviewed Original ResearchConceptsAbsence of hungerFunctional magnetic resonance imagingSubsequent intakeRatings of hungerPeriaqueductal gray regionMidbrain responsesMagnetic resonance imagingKey reward regionsPalatable milkshakeSignificant positive associationPalatable foodResonance imagingInsular responsesOrbitofrontal cortexNeural circuitsGreater intakeMilkshake consumptionIntakeReward regionsBrain responsesEnhanced responseMilkshakePositive associationMidbrainGray regionAcute stress potentiates brain response to milkshake as a function of body weight and chronic stress
Rudenga KJ, Sinha R, Small DM. Acute stress potentiates brain response to milkshake as a function of body weight and chronic stress. International Journal Of Obesity 2012, 37: 309-316. PMID: 22430303, PMCID: PMC3381866, DOI: 10.1038/ijo.2012.39.Peer-Reviewed Original ResearchConceptsBody mass indexFunctional magnetic resonance imagingChronic stressOrbitofrontal cortexRight amygdalaBody weightPalatable foodAcute stressBasal cortisol levelsBrain responsesAmygdala responseMagnetic resonance imagingStress-related eatingMilkshake receiptPalatable milkshakeObese womenOverweight womenMass indexRight amygdala responseOFC responsesPotentiates responsesCortisol levelsLeft amygdalaResonance imagingVentral striatum
2011
Youth at Risk for Obesity Show Greater Activation of Striatal and Somatosensory Regions to Food
Stice E, Yokum S, Burger KS, Epstein LH, Small DM. Youth at Risk for Obesity Show Greater Activation of Striatal and Somatosensory Regions to Food. Journal Of Neuroscience 2011, 31: 4360-4366. PMID: 21430137, PMCID: PMC3260083, DOI: 10.1523/jneurosci.6604-10.2011.Peer-Reviewed Original ResearchConceptsNormal weight humansObese humansStriatal responsesFood intakeOrbitofrontal cortexDopamine signalingWeight gainInitial vulnerability factorsGenetic riskStriatal D2 receptorsMonetary rewardsNormal-weight adolescentsPalatable food intakeD2 receptor densityD2 receptorsHigh-risk youthParietal operculumReceptor densitySomatosensory regionsPalatable foodFoods contributesFrontal operculumReward circuitryReduced dopamineObesity
2009
Individual differences in the neurophysiology of reward and the obesity epidemic
Small DM. Individual differences in the neurophysiology of reward and the obesity epidemic. International Journal Of Obesity 2009, 33: s44-s48. PMID: 19528979, PMCID: PMC2788336, DOI: 10.1038/ijo.2009.71.Peer-Reviewed Original Research
2008
Relation of Reward From Food Intake and Anticipated Food Intake to Obesity: A Functional Magnetic Resonance Imaging Study
Stice E, Spoor S, Bohon C, Veldhuizen MG, Small DM. Relation of Reward From Food Intake and Anticipated Food Intake to Obesity: A Functional Magnetic Resonance Imaging Study. Journal Of Psychopathology And Clinical Science 2008, 117: 924-935. PMID: 19025237, PMCID: PMC2681092, DOI: 10.1037/a0013600.Peer-Reviewed Original ResearchConceptsFunctional magnetic resonance imagingAdolescent girlsGreater activationFunctional magnetic resonance imaging studySomatosensory regionsRelation of rewardGustatory cortexDopamine receptor availabilityMagnetic resonance imaging studyResonance imaging studyChocolate milkshakeTasteless solutionConsequent weight gainFood intakeBrain regionsGreater rewardsHedonic aspectsDecreased activationWeak activationRewardReceptor availabilityMilkshakeGirlsImaging studiesMagnetic resonance imagingRelation Between Obesity and Blunted Striatal Response to Food Is Moderated by TaqIA A1 Allele
Stice E, Spoor S, Bohon C, Small DM. Relation Between Obesity and Blunted Striatal Response to Food Is Moderated by TaqIA A1 Allele. Science 2008, 322: 449-452. PMID: 18927395, PMCID: PMC2681095, DOI: 10.1126/science.1161550.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAllelesBasal GangliaBody Mass IndexCaudate NucleusCorpus StriatumCuesDeoxyribonucleases, Type II Site-SpecificDopamineEatingFemaleFoodHumansHyperphagiaMagnetic Resonance ImagingObesityPolymorphism, Restriction Fragment LengthPutamenReceptors, Dopamine D2Regression AnalysisRewardSignal TransductionWeight GainConceptsDorsal striatumTaqIA restriction fragment length polymorphismConsummatory food rewardMagnetic resonance imaging studyStriatal dopamine receptorsDevelopment of obesityA1 alleleResonance imaging studyFunctional magnetic resonance imaging studyDopamine D2 receptor geneTaqIA A1 alleleObese individualsStriatal dopamineD2 receptor geneProspective dataLean individualsDopamine receptorsFood intakeStriatumImaging studiesStriatal responsesStriatal activationGenetic polymorphismsReceptor geneObesity