2024
Sex differences in binge drinking-related higher morning cortisol levels and in prospective association with future alcohol intake
McGowan C, Krah M, Fogelman N, Seo D, Sinha R. Sex differences in binge drinking-related higher morning cortisol levels and in prospective association with future alcohol intake. Alcohol And Alcoholism 2024, 59: agae047. PMID: 39053499, DOI: 10.1093/alcalc/agae047.Peer-Reviewed Original ResearchConceptsMorning cortisol levelsCortisol levelsHigher morning cortisol levelsHypothalamic-pituitary-adrenal (HPA) axisSex differencesReports of alcohol consumptionProblematic drinking behaviorAlcohol consumptionAverage cortisol levelsBasal cortisol levelsAlcohol intakeHeavy alcohol useChronic alcohol consumptionHPA axisDrinking behaviorNeuroimaging scansPeripheral cortisolAlcohol useStress systemBinge drinkingMorning cortisolStress hormonesMorning plasma cortisolBingeNon-significant relationshipNeural Correlates of Stress and Alcohol Cue-Induced Alcohol Craving and of Future Heavy Drinking: Evidence of Sex Differences
Radoman M, Fogelman N, Lacadie C, Seo D, Sinha R. Neural Correlates of Stress and Alcohol Cue-Induced Alcohol Craving and of Future Heavy Drinking: Evidence of Sex Differences. American Journal Of Psychiatry 2024, 181: 412-422. PMID: 38706332, PMCID: PMC11117176, DOI: 10.1176/appi.ajp.20230849.Peer-Reviewed Original ResearchConceptsAlcohol use disorderPercentage of heavy drinking daysNeural correlates of stressCue-induced cravingHeavy drinking daysAlcohol cravingSex differencesCorrelates of stressDrinking daysAlcohol cue-induced cravingCue-induced alcohol cravingBed nucleus of the stria terminalisSubgenual anterior cingulate cortexAssessment of alcohol cravingHeavy drinkingAlcohol cue reactivityAssociated with poor treatment outcomesCue-induced responsesNeutral cue exposureAssociated with hypoactivationTreatment-seeking adultsHeavy drinking outcomesEvidence of sex differencesVoxel-based regression analysisAnterior cingulate cortex
2023
Association between specific types of parent stressors and fast-food consumption among parents and children
Bautista T, Fogelman N, Lartigue S, Silverman W, Jastreboff A, Sinha R. Association between specific types of parent stressors and fast-food consumption among parents and children. Eating Behaviors 2023, 49: 101724. PMID: 37054487, PMCID: PMC10247538, DOI: 10.1016/j.eatbeh.2023.101724.Peer-Reviewed Original ResearchConceptsHousehold chaosParent stressorsYoung childrenOnly significant predictorSignificant predictorsFast food consumptionStress interventionsSeparate regression modelsParentsSpecific typesYear oldsChildrenStressorsFast food intakeChildren's fast food consumptionPredictorsFinal modelHealthy foodsOldsBehaviorStressInterventionTurnBody mass indexFindings
2020
Reproducibility in the absence of selective reporting: An illustration from large‐scale brain asymmetry research
Kong X, Kong X, Mathias S, Guadalupe T, Abé C, Agartz I, Akudjedu T, Aleman A, Alhusaini S, Allen N, Ames D, Andreassen O, Vasquez A, Armstrong N, Asherson P, Bergo F, Bastin M, Batalla A, Bauer J, Baune B, Baur‐Streubel R, Biederman J, Blaine S, Boedhoe P, Bøen E, Bose A, Bralten J, Brandeis D, Brem S, Brodaty H, Yüksel D, Brooks S, Buitelaar J, Bürger C, Bülow R, Calhoun V, Calvo A, Canales‐Rodríguez E, Cannon D, Caparelli E, Castellanos F, Cendes F, Chaim‐Avancini T, Chantiluke K, Chen Q, Chen X, Cheng Y, Christakou A, Clark V, Coghill D, Connolly C, Conzelmann A, Córdova‐Palomera A, Cousijn J, Crow T, Cubillo A, Dannlowski U, de Bruttopilo S, de Zeeuw P, Deary I, Demeter D, Di Martino A, Dickie E, Dietsche B, Doan N, Doherty C, Doyle A, Durston S, Earl E, Ehrlich S, Ekman C, Elvsåshagen T, Epstein J, Fair D, Faraone S, Fernández G, Flint C, Filho G, Förster K, Fouche J, Foxe J, Frodl T, Fuentes‐Claramonte P, Fullerton J, Garavan H, do Santos Garcia D, Gotlib I, Goudriaan A, Grabe H, Groenewold N, Grotegerd D, Gruber O, Gurholt T, Haavik J, Hahn T, Hansell N, Harris M, Hartman C, del Carmen Valdés Hernández M, Heslenfeld D, Hester R, Hibar D, Ho B, Ho T, Hoekstra P, van Holst R, Hoogman M, Høvik M, Howells F, Hugdahl K, Huyser C, Ingvar M, Ishikawa A, James A, Jahanshad N, Jernigan T, Jönsson E, Kaleda V, Kelly C, Kerich M, Keshavan M, Khadka S, Kircher T, Kohls G, Konrad K, Korucuoglu O, Krämer B, Krug A, Kuntsi J, Kwon J, Lambregts‐Rommelse N, Landén M, Lázaro L, Lebedeva I, Lenroot R, Lesch K, Li Q, Lim K, Liu J, Lochner C, London E, Lorenzetti V, Luciano M, Luijten M, Lundervold A, Mackey S, MacMaster F, Maingault S, Malpas C, Malt U, Mataix‐Cols D, Martin‐Santos R, Mayer A, McCarthy H, Medland S, Metha M, Mitchell P, Mueller B, Maniega S, Mazoyer B, McDonald C, McLellan Q, McMahon K, McPhilemy G, Momenan R, Morales A, Narayanaswamy J, Moreira J, Nerland S, Nestor L, Newman E, Nigg J, Nordvik J, Novotny S, Weiss E, O'Gorman R, Oosterlaan J, Oranje B, Orr C, Overs B, Paloyelis Y, Pauli P, Paulus M, Plessen K, von Polier G, Pomarol‐Clotet E, Portella M, Qiu J, Radua J, Ramos‐Quiroga J, Reddy Y, Reif A, Roberts G, Rosa P, Rubia K, Sacchet M, Sachdev P, Salvador R, Schmaal L, Schulte‐Rüther M, Schweren L, Seitz J, Serpa M, Shaw P, Shumskaya E, Silk T, Simmons A, Simulionyte E, Sinha R, Sjoerds Z, Smelror R, Soliva J, Solowij N, Souza‐Duran F, Sponheim S, Stein D, Stein E, Stevens M, Strike L, Sudre G, Sui J, Tamm L, Temmingh H, Thoma R, Tomyshev A, Tronchin G, Turner J, Uhlmann A, van Erp T, van den Heuvel O, van der Meer D, van Eijk L, Vance A, Veer I, Veltman D, Venkatasubramanian G, Vilarroya O, Vives‐Gilabert Y, Voineskos A, Völzke H, Vuletic D, Walitza S, Walter H, Walton E, Wardlaw J, Wen W, Westlye L, Whelan C, White T, Wiers R, Wright M, Wittfeld K, Yang T, Yasuda C, Yoncheva Y, Yücel M, Yun J, Zanetti M, Zhen Z, Zhu X, Ziegler G, de Zubicaray G, Zwiers M, Project K, Glahn D, Crivello F, Fisher S, Thompson P, Francks C, Farde L, Flyckt L, Engberg G, Erhardt S, Fatouros‐Bergman H, Cervenka S, Schwieler L, Piehl F, Agartz I, Collste K, Victorsson P, Malmqvist A, Hedberg M, Orhan F, Sellgren C, Francks C. Reproducibility in the absence of selective reporting: An illustration from large‐scale brain asymmetry research. Human Brain Mapping 2020, 43: 244-254. PMID: 32841457, PMCID: PMC8675427, DOI: 10.1002/hbm.25154.Peer-Reviewed Original Research
2018
Mapping cortical brain asymmetry in 17,141 healthy individuals worldwide via the ENIGMA Consortium
Kong XZ, Mathias SR, Guadalupe T, Glahn D, Franke B, Crivello F, Tzourio-Mazoyer N, Fisher S, Thompson P, Francks C, Kong X, Mathias S, Guadalupe T, Abé C, Agartz I, Akudjedu T, Aleman A, Alhusaini S, Allen N, Ames D, Andreassen O, Vasquez A, Armstrong N, Bergo F, Bastin M, Batalla A, Bauer J, Baune B, Baur-Streubel R, Biederman J, Blaine S, Boedhoe P, Bøen E, Bose A, Bralten J, Brandeis D, Brem S, Brodaty H, Yüksel D, Brooks S, Buitelaar J, Bürger C, Bülow R, Calhoun V, Calvo A, Canales-Rodríguez E, Canive J, Cannon D, Caparelli E, Castellanos F, Cavalleri G, Cendes F, Chaim-Avancini T, Chantiluke K, Chen Q, Chen X, Cheng Y, Christakou A, Clark V, Coghill D, Connolly C, Conzelmann A, Córdova-Palomera A, Cousijn J, Crow T, Cubillo A, Dale A, Dannlowski U, Ambrosino de Bruttopilo S, de Zeeuw P, Deary I, Delanty N, Demeter D, Di Martino A, Dickie E, Dietsche B, Doan N, Doherty C, Doyle A, Durston S, Earl E, Ehrlich S, Ekman C, Elvsåshagen T, Epstein J, Fair D, Faraone S, Fernández G, Filho G, Förster K, Fouche J, Foxe J, Frodl T, Fuentes-Claramonte P, Fullerton J, Garavan H, Garcia D, Gotlib I, Goudriaan A, Grabe H, Groenewold N, Grotegerd D, Gruber O, Gurholt T, Haavik J, Hahn T, Hansell N, Harris M, Hartman C, Hernández M, Heslenfeld D, Hester R, Hibar D, Ho B, Ho T, Hoekstra P, van Holst R, Hoogman M, Høvik M, Howells F, Hugdahl K, Huyser C, Ingvar M, Irwin L, Ishikawa A, James A, Jahanshad N, Jernigan T, Jönsson E, Kähler C, Kaleda V, Kelly C, Kerich M, Keshavan M, Khadka S, Kircher T, Kohls G, Konrad K, Korucuoglu O, Krämer B, Krug A, Kwon J, Lambregts-Rommelse N, Landén M, Lázaro L, Lebedeva I, Lenroot R, Lesch K, Li Q, Lim K, Liu J, Lochner C, London E, Lonning V, Lorenzetti V, Luciano M, Luijten M, Lundervold A, Mackey S, MacMaster F, Maingault S, Malpas C, Malt U, Mataix-Cols D, Martin-Santos R, Mayer A, McCarthy H, Mitchell P, Mueller B, Maniega S, Mazoyer B, McDonald C, McLellan Q, McMahon K, McPhilemy G, Momenan R, Morales A, Narayanaswamy J, Moreira J, Nerland S, Nestor L, Newman E, Nigg J, Nordvik J, Novotny S, Weiss E, O’Gorman R, Oosterlaan J, Oranje B, Orr C, Overs B, Pauli P, Paulus M, Plessen K, von Polier G, Pomarol-Clotet E, Portella M, Qiu J, Radua J, Ramos-Quiroga J, Reddy Y, Reif A, Roberts G, Rosa P, Rubia K, Sacchet M, Sachdev P, Salvador R, Schmaal L, Schulte-Rüther M, Schweren L, Seidman L, Seitz J, Serpa M, Shaw P, Shumskaya E, Silk T, Simmons A, Simulionyte E, Sinha R, Sjoerds Z, Smelror R, Soliva J, Solowij N, Souza-Duran F, Sponheim S, Stein D, Stein E, Stevens M, Strike L, Sudre G, Sui J, Tamm L, Temmingh H, Thoma R, Tomyshev A, Tronchin G, Turner J, Uhlmann A, van Erp T, van den Heuvel O, van der Meer D, van Eijk L, Vance A, Veer I, Veltman D, Venkatasubramanian G, Vilarroya O, Vives-Gilabert Y, Voineskos A, Völzke H, Vuletic D, Walitza S, Walter H, Walton E, Wardlaw J, Wen W, Westlye L, Whelan C, White T, Wiers R, Wright M, Wittfeld K, Yang T, Yasuda C, Yoncheva Y, Yücel M, Yun J, Zanetti M, Zhen Z, Zhu X, Ziegler G, Zierhut K, de Zubicaray G, Zwiers M, Glahn D, Franke B, Crivello F, Tzourio-Mazoyer N, Fisher S, Thompson P, Francks C, Farde L, Flyckt L, Engberg G, Erhardt S, Fatouros-Bergman H, Cervenka S, Schwieler L, Piehl F, Agartz I, Collste K, Victorsson P, Malmqvist A, Hedberg M, Orhan F. Mapping cortical brain asymmetry in 17,141 healthy individuals worldwide via the ENIGMA Consortium. Proceedings Of The National Academy Of Sciences Of The United States Of America 2018, 115: e5154-e5163. PMID: 29764998, PMCID: PMC5984496, DOI: 10.1073/pnas.1718418115.Peer-Reviewed Original ResearchConceptsBrain asymmetryCortical thicknessHealthy individualsAltered brain asymmetryCerebral cortical asymmetryENIGMA consortiumTransverse temporal gyrusPopulation-level asymmetriesInferior frontal gyrusPsychiatric disordersMRI scansParahippocampal gyrusCardinal featuresSignificant associationIntracranial volumeNeuropsychiatric disordersTemporal gyrusThicker cortexFrontal gyrusCortical asymmetryHuman brain organizationLeft hemisphereGyrusLateralized functionsBrain organization
2016
Neural stress reactivity relates to smoking outcomes and differentiates between mindfulness and cognitive-behavioral treatments
Kober H, Brewer JA, Height KL, Sinha R. Neural stress reactivity relates to smoking outcomes and differentiates between mindfulness and cognitive-behavioral treatments. NeuroImage 2016, 151: 4-13. PMID: 27693614, PMCID: PMC5373945, DOI: 10.1016/j.neuroimage.2016.09.042.Peer-Reviewed Original ResearchConceptsCognitive-behavioral treatmentFunctional magnetic resonance imagingStress reactivityMindfulness-based treatmentsAmerican Lung Association's FreedomUnderstanding of stressPsychological mechanismsMindfulness trainingNegative affectConjunction analysisMid insulaCBT groupStress provocationSmoking outcomesBrain regionsCessation treatmentEfficacy of MTCurrent studyEntire sampleDrug useSmoking cessationImportant implicationsMagnetic resonance imagingMindfulnessInsula
2013
Disrupted Ventromedial Prefrontal Function, Alcohol Craving, and Subsequent Relapse Risk
Seo D, Lacadie CM, Tuit K, Hong KI, Constable RT, Sinha R. Disrupted Ventromedial Prefrontal Function, Alcohol Craving, and Subsequent Relapse Risk. JAMA Psychiatry 2013, 70: 727-739. PMID: 23636842, PMCID: PMC3788824, DOI: 10.1001/jamapsychiatry.2013.762.Peer-Reviewed Original ResearchConceptsHealthy control subjectsAD patientsControl subjectsInpatient treatmentAlcohol cravingAlcohol cuesBrain responsesRelapse riskAlcohol relapseHospital-based research unitAnterior cingulate cortex activationAlcohol-related cuesCommunity mental health centerVentromedial prefrontal functionChronic relapsing illnessVentromedial prefrontal cortexStress-induced cravingAbstinent alcohol-dependent patientsFunctional magnetic resonanceMental health centersAlcohol-dependent patientsSubsequent relapse riskNeural correlatesNeutral trialsHazard ratioDivergent neural substrates of inhibitory control in binge eating disorder relative to other manifestations of obesity
Balodis IM, Molina ND, Kober H, Worhunsky PD, White MA, Sinha R, Grilo CM, Potenza MN. Divergent neural substrates of inhibitory control in binge eating disorder relative to other manifestations of obesity. Obesity 2013, 21: 367-377. PMID: 23404820, PMCID: PMC3610836, DOI: 10.1002/oby.20068.Peer-Reviewed Original ResearchConceptsInferior frontal gyrusCognitive controlBED groupNeural correlatesStroop color-word interference taskColor-word interference taskRight inferior frontal gyrusVentromedial prefrontal cortexDivergent neural substratesFunctional magnetic resonanceInterference taskStroop performanceVmPFC activationDietary restraint scoresInhibitory processingDiminished abilityNeural substratesComparison participantsFrontal gyrusInhibitory controlBiobehavioral processesPrefrontal cortexDietary restraintBehavioral controlRelative hypoactivity
2012
Cumulative Adversity and Smaller Gray Matter Volume in Medial Prefrontal, Anterior Cingulate, and Insula Regions
Ansell EB, Rando K, Tuit K, Guarnaccia J, Sinha R. Cumulative Adversity and Smaller Gray Matter Volume in Medial Prefrontal, Anterior Cingulate, and Insula Regions. Biological Psychiatry 2012, 72: 57-64. PMID: 22218286, PMCID: PMC3391585, DOI: 10.1016/j.biopsych.2011.11.022.Peer-Reviewed Original ResearchConceptsMedial prefrontal cortexGray matter volumeCumulative adversityPrefrontal cortexLife eventsSmaller gray matter volumeAnterior cingulateMatter volumeCingulate regionsRecent stressful life eventsCommunity participantsHealthy community participantsCumulative life eventsStressful life eventsStress-related psychopathologyAdverse life eventsAnterior cingulate regionsChronic stress effectsInsula regionsLife traumaKey prefrontalMedial prefrontalCommunity sampleOrbitofrontal cortexRight insula
2011
Effects of Adrenal Sensitivity, Stress- and Cue-Induced Craving, and Anxiety on Subsequent Alcohol Relapse and Treatment Outcomes
Sinha R, Fox HC, Hong KI, Hansen J, Tuit K, Kreek MJ. Effects of Adrenal Sensitivity, Stress- and Cue-Induced Craving, and Anxiety on Subsequent Alcohol Relapse and Treatment Outcomes. JAMA Psychiatry 2011, 68: 942-952. PMID: 21536969, PMCID: PMC3668981, DOI: 10.1001/archgenpsychiatry.2011.49.Peer-Reviewed Original ResearchConceptsAlcohol-dependent patientsAlcohol relapseCue-induced alcohol cravingTreatment outcomesAdrenal sensitivityAlcohol cravingCommunity mental health centerCue-induced anxietyEarly alcohol recoveryHPA axis dysregulationHPA axis functionHPA axis responseMental health centersCue-induced alcoholAlcohol cuesStress-induced alcoholHospital-based research unitAlcohol-dependent individualsCue-Induced CravingCorticotropin levelsAxis dysregulationAxis functionAdrenal axisRelapse riskHealthy controls
2006
Stress-Induced Cocaine Craving and Hypothalamic-Pituitary-Adrenal Responses Are Predictive of Cocaine Relapse Outcomes
Sinha R, Garcia M, Paliwal P, Kreek MJ, Rounsaville BJ. Stress-Induced Cocaine Craving and Hypothalamic-Pituitary-Adrenal Responses Are Predictive of Cocaine Relapse Outcomes. JAMA Psychiatry 2006, 63: 324-331. PMID: 16520439, DOI: 10.1001/archpsyc.63.3.324.Peer-Reviewed Original ResearchMeSH KeywordsAdrenocorticotropic HormoneAdultBehavior, AddictiveCocaine-Related DisordersCuesFemaleFollow-Up StudiesHospitalizationHumansHydrocortisoneHypothalamo-Hypophyseal SystemMaleMiddle AgedPituitary-Adrenal SystemProspective StudiesSecondary PreventionStress, PsychologicalSubstance Abuse Treatment CentersTreatment OutcomeConceptsAdrenal axis responseCocaine cravingRelapse outcomesAxis responseCocaine relapseAdrenal responseInpatient treatmentCocaine relapse outcomesCue-induced cocaine cravingStress-induced drug cravingCocaine useCocaine dependenceCox proportional hazards regressionCommunity mental health centerProportional hazards regressionMental health centersProspective study designDrug cue exposureStress-related increasesTreatment-seeking cocaine dependent individualsHazards regressionHypothalamic-PituitaryHealth centersCocaine-dependent individualsRelapse
2000
Motivation to change substance use among offenders of domestic violence
Easton C, Swan S, Sinha R. Motivation to change substance use among offenders of domestic violence. Journal Of Substance Use And Addiction Treatment 2000, 19: 1-5. PMID: 10867294, DOI: 10.1016/s0740-5472(99)00098-7.Peer-Reviewed Original ResearchPrevalence of family violence in clients entering substance abuse treatment
Easton C, Swan S, Sinha R. Prevalence of family violence in clients entering substance abuse treatment. Journal Of Substance Use And Addiction Treatment 2000, 18: 23-28. PMID: 10636603, DOI: 10.1016/s0740-5472(99)00019-7.Peer-Reviewed Original ResearchConceptsSubstance-using clientsIndividual therapy sessionsChildhood traumaFamily violenceAdult victimsTherapy sessionsPhysical violenceHigher scoresSubstance abuse treatmentSubstance-related problemsMichigan Alcoholism Screening TestPositive urine screenChildhood abuseAbuse treatmentChildhood victimsSubstance abusersDepression Inventory scoresAlcoholism Screening TestBeck Depression Inventory scoresFamily historyInventory scoresCocaine useVictimsDomestic violencePerpetrators
1998
Can line clinicians master the conceptual complexities of dialectical behavior therapy? An evaluation of a State Department of Mental Health training program
Hawkins K, Sinha R. Can line clinicians master the conceptual complexities of dialectical behavior therapy? An evaluation of a State Department of Mental Health training program. Journal Of Psychiatric Research 1998, 32: 379-384. PMID: 9844954, DOI: 10.1016/s0022-3956(98)00030-2.Peer-Reviewed Original ResearchConceptsDialectical behavior therapyBehavior therapyMental health training programBorderline personality disorderHealth training programsMental health initiativesEfficacy dataClinical utilityDBT trainingHealth initiativesCliniciansNumerous cliniciansMental healthTherapyPersonality disorderEase of disseminationMarsha LinehanTreatmentDiverse rolesMultifaceted approachDepartmentTraining programTreatment theoryExamination
1994
Assessment of recovery of electrophysiological and neurophysiological functions in chronic alcoholics
Glenn S, Parsons O, Sinha R. Assessment of recovery of electrophysiological and neurophysiological functions in chronic alcoholics. Biological Psychiatry 1994, 36: 443-452. PMID: 7811840, DOI: 10.1016/0006-3223(94)90639-4.Peer-Reviewed Original Research
1993
Electrophysiological indices predict resumption of drinking in sober alcoholics
Glenn S, Sinha R, Parsons O. Electrophysiological indices predict resumption of drinking in sober alcoholics. Alcohol 1993, 10: 89-95. PMID: 8442897, DOI: 10.1016/0741-8329(93)90086-4.Peer-Reviewed Original ResearchConceptsInpatient alcoholism treatment programResumption of drinkingInitial testing sessionAlcoholism treatment programSocial predictor variablesChronic alcoholicsEvent-related potentialsMultivariate analysisSober alcoholicsTreatment programNonalcoholic controlsDrinking patternsN200 latencyAlcoholicsChi 2Biopsychosocial modelP300 amplitudeTesting sessionsStimulus taskElectrophysiological indices
1989
The Relationship Between Neuropsychological and Late Component Evoked Potential Measures in Chronic Alcoholics
Patterson B, Sinha R, Williams H, Parsons O, Smith L, Schaeffer K. The Relationship Between Neuropsychological and Late Component Evoked Potential Measures in Chronic Alcoholics. International Journal Of Neuroscience 1989, 49: 319-327. PMID: 2638354, DOI: 10.3109/00207458909084830.Peer-Reviewed Original ResearchMeSH KeywordsAdultAlcoholismBrainElectroencephalographyHumansMaleMiddle AgedNeuropsychological TestsConceptsPerceptual-motor testsERP measuresFigural memoryNeuropsychological measuresMemory scoresEvent-related potential (ERP) measuresPerceptual-motor functionPerceptual-motor functioningVisual P3 amplitudePotential measuresEvoked potential measuresP3 amplitudeNd amplitudesP3 componentN1 amplitudeNeuropsychological testsCorrelational analysisMemoryAge-matched male controlsMeasuresSignificant relationshipSignificant correlationMale alcoholicsAlcoholicsNeuropsychological