2024
Neural 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
Hippocampal Mechanisms Support Cortisol-Induced Memory Enhancements
Sherman B, Harris B, Turk-Browne N, Sinha R, Goldfarb E. Hippocampal Mechanisms Support Cortisol-Induced Memory Enhancements. Journal Of Neuroscience 2023, 43: 7198-7212. PMID: 37813570, PMCID: PMC10601369, DOI: 10.1523/jneurosci.0916-23.2023.Peer-Reviewed Original ResearchConceptsFunctional magnetic resonance imagingMemory enhancementEpisodic memoryAssociative memoryEpisodic memory encodingBrain regionsHigh-resolution functional magnetic resonance imagingHuman hippocampusHigh-resolution fMRIStress-related hormone cortisolHormone cortisolMemory benefitsEmotional memoryMemory encodingEmotional eventsEmotional associationsHippocampal representationsHippocampal signaturesFunctional neuroimagingHippocampal mechanismsStressful eventsFunctional connectivityHippocampal functionMemory formationSalient informationBrain volumes in alcohol use disorder: Do females and males differ? A whole‐brain magnetic resonance imaging mega‐analysis
Maggioni E, Rossetti M, Allen N, Batalla A, Bellani M, Chye Y, Cousijn J, Goudriaan A, Hester R, Hutchison K, Li C, Martin‐Santos R, Momenan R, Sinha R, Schmaal L, Solowij N, Suo C, van Holst R, Veltman D, Yücel M, Thompson P, Conrod P, Mackey S, Garavan H, Brambilla P, Lorenzetti V. Brain volumes in alcohol use disorder: Do females and males differ? A whole‐brain magnetic resonance imaging mega‐analysis. Human Brain Mapping 2023, 44: 4652-4666. PMID: 37436103, PMCID: PMC10400785, DOI: 10.1002/hbm.26404.Peer-Reviewed Original ResearchTransdiagnostic Connectome-Based Prediction of Craving
Garrison K, Sinha R, Potenza M, Gao S, Liang Q, Lacadie C, Scheinost D. Transdiagnostic Connectome-Based Prediction of Craving. American Journal Of Psychiatry 2023, 180: 445-453. PMID: 36987598, DOI: 10.1176/appi.ajp.21121207.Peer-Reviewed Original ResearchConceptsConnectome-based predictive modelingImagery conditionFunctional connectomeSelf-reported cravingStudy of motivationDefault mode networkFunctional connectivity dataIndependent samplesKey phenomenological featuresNeural signaturesTransdiagnostic sampleTransdiagnostic perspectiveMode networkMotivated behaviorCentral constructAddictive disordersHuman behaviorConnectivity dataPhenomenological featuresStrongest predictorCravingTaskSubstance use-related disordersConnectomeIndividualsSex differences in neural responses to stress and drug cues predicts future drug use in individuals with substance use disorder
Smith K, Lacadie C, Milivojevic V, Fogelman N, Sinha R. Sex differences in neural responses to stress and drug cues predicts future drug use in individuals with substance use disorder. Drug And Alcohol Dependence 2023, 244: 109794. PMID: 36758371, PMCID: PMC10024802, DOI: 10.1016/j.drugalcdep.2023.109794.Peer-Reviewed Original ResearchConceptsSubstance use disordersDrug cuesFuture drug useDrug use daysCue exposureNeural responsesUse daysSex differencesVentromedial prefrontal cortexScript-driven imageryDrug cue exposureNeutral cue exposureWhole-brain analysisWhole-brain correlationUse disordersDrug use outcomesCue-induced anxietyBrain responsesHeart rateFMRI scansPrefrontal cortexDrug cravingDrug useBrain analysisBrain correlations
2022
Mental imagery content is associated with disease severity and specific brain functional connectivity changes in patients with Parkinson’s disease
Cherry J, Kamel S, Elfil M, Aravala S, Bayoumi A, Patel A, Sinha R, Tinaz S. Mental imagery content is associated with disease severity and specific brain functional connectivity changes in patients with Parkinson’s disease. Brain Imaging And Behavior 2022, 17: 161-171. PMID: 36434490, PMCID: PMC10050121, DOI: 10.1007/s11682-022-00749-z.Peer-Reviewed Original ResearchConceptsImagery trainingFunctional connectivity changesMild Parkinson's diseaseVisual imagery trainingMental imagery trainingComplex cognitive processesConnectivity changesMotor imagery trainingBrain functional connectivity changesFunctional connectivity characteristicsExecutive processesMental imageryCognitive processesPerceptual experienceNeural correlatesBrain mechanismsImagery practiceImagery contentSensorimotor processesNeuropsychiatric patient populationsMotor functionMotor actsMotor enhancementBrain areasParkinson's diseaseCortical profiles of numerous psychiatric disorders and normal development share a common pattern
Cao Z, Cupertino R, Ottino-Gonzalez J, Murphy A, Pancholi D, Juliano A, Chaarani B, Albaugh M, Yuan D, Schwab N, Stafford J, Goudriaan A, Hutchison K, Li C, Luijten M, Groefsema M, Momenan R, Schmaal L, Sinha R, van Holst R, Veltman D, Wiers R, Porjesz B, Lett T, Banaschewski T, Bokde A, Desrivières S, Flor H, Grigis A, Gowland P, Heinz A, Brühl R, Martinot J, Martinot M, Artiges E, Nees F, Orfanos D, Paus T, Poustka L, Hohmann S, Millenet S, Fröhner J, Robinson L, Smolka M, Walter H, Winterer J, Schumann G, Whelan R, Bhatt R, Zhu A, Conrod P, Jahanshad N, Thompson P, Mackey S, Garavan H. Cortical profiles of numerous psychiatric disorders and normal development share a common pattern. Molecular Psychiatry 2022, 28: 698-709. PMID: 36380235, DOI: 10.1038/s41380-022-01855-6.Peer-Reviewed Original ResearchConceptsCortical thicknessPsychiatric disordersNumerous psychiatric disordersNeurological disordersDesikan-Killiany atlasLower cortical thicknessNormative maturationAllen Human Brain AtlasHealthy adult participantsCortical maturationExpression of PC1Cortical changesEmergence of psychopathologyBrain maturationPsychiatric diseasesMultiple gene ontology categoriesHuman Brain AtlasCortical profilesPubertal transitionCT differencesDisordersLate childhoodABCD studyAdult participantsNeurobiological basisBrain structural covariance network differences in adults with alcohol dependence and heavy‐drinking adolescents
Ottino‐González J, Garavan H, Albaugh M, Cao Z, Cupertino R, Schwab N, Spechler P, Allen N, Artiges E, Banaschewski T, Bokde A, Burke Quinlan E, Brühl R, Orr C, Cousijn J, Desrivières S, Flor H, Foxe J, Fröhner J, Goudriaan A, Gowland P, Grigis A, Heinz A, Hester R, Hutchison K, Li C, London E, Lorenzetti V, Luijten M, Nees F, Martín‐Santos R, Martinot J, Millenet S, Momenan R, Paillère Martinot M, Papadopoulos Orfanos D, Paulus M, Poustka L, Schmaal L, Schumann G, Sinha R, Smolka MN, Solowij N, Stein DJ, Stein EA, Uhlmann A, van Holst RJ, Veltman DJ, Walter H, Whelan R, Wiers RW, Yücel M, Zhang S, Jahanshad N, Thompson PM, Conrod P, Mackey S. Brain structural covariance network differences in adults with alcohol dependence and heavy‐drinking adolescents. Addiction 2022, 117: 1312-1325. PMID: 34907616, DOI: 10.1111/add.15772.Peer-Reviewed Original ResearchConceptsAlcohol dependenceHeavy drinking adolescentsStructural covariance networksAge 19Non-dependent controlsPre-existing risk factorsAge 14Cohort of adolescentsCross-sectional analysisRisk factorsAlcohol exposureEnhancing Neuroimaging GeneticsCortical thicknessHazardous drinkersEarly markerMeta-AnalysisNetwork segregationCross-sectional sampleIMAGEN studySubstantial exposureAdultsDrinking adolescentsCovariance networksBrain organizationAdolescents
2021
This is Your Brain in Meltdown
Arnsten A, Mazure CM, Sinha R. This is Your Brain in Meltdown. Scientific American 2021, 306: 48-53. PMID: 22486116, PMCID: PMC4774859, DOI: 10.1038/scientificamerican0412-48.Peer-Reviewed Original Research
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 imagingMindfulnessInsulaDynamic neural activity during stress signals resilient coping
Sinha R, Lacadie CM, Constable RT, Seo D. Dynamic neural activity during stress signals resilient coping. Proceedings Of The National Academy Of Sciences Of The United States Of America 2016, 113: 8837-8842. PMID: 27432990, PMCID: PMC4978278, DOI: 10.1073/pnas.1600965113.Peer-Reviewed Original ResearchConceptsDorsal anterior cingulate cortexVentrolateral prefrontal cortexResilient copingNeural activationPrefrontal cortexFunctional magnetic resonance imaging studyDorsolateral prefrontal cortex regionsNeutral visual stimuliVentromedial prefrontal cortexHealthy stress responseDynamic neural activityPrefrontal cortex regionsAnterior cingulate cortexFrequency of argumentsMagnetic resonance imaging studyResonance imaging studyVmPFC activationEmotional eatingNeural processesStress processingVisual stimuliViolent stimuliBinge alcohol intakeBrain networksRight insula
2013
Cumulative Adversity Sensitizes Neural Response to Acute Stress: Association with Health Symptoms
Seo D, Tsou KA, Ansell EB, Potenza MN, Sinha R. Cumulative Adversity Sensitizes Neural Response to Acute Stress: Association with Health Symptoms. Neuropsychopharmacology 2013, 39: 670-680. PMID: 24051900, PMCID: PMC3895244, DOI: 10.1038/npp.2013.250.Peer-Reviewed Original ResearchConceptsMedial orbitofrontal cortexAdverse health symptomsStress-induced activityHealth symptomsOrbitofrontal cortexCumulative adversityAcute stressMagnetic resonance imaging resultsAdverse health outcomesNeural responsesCornell Medical IndexFunctional magnetic resonance imaging resultsHigh-Ca groupRight hippocampusRight amygdalaHealthy individualsCA groupHealth outcomesMedical IndexLateral prefrontal cortexSignificant associationSymptomsHealth consequencesPrefrontal cortexTemporal regionsStress as a Common Risk Factor for Obesity and Addiction
Sinha R, Jastreboff AM. Stress as a Common Risk Factor for Obesity and Addiction. Biological Psychiatry 2013, 73: 827-835. PMID: 23541000, PMCID: PMC3658316, DOI: 10.1016/j.biopsych.2013.01.032.BooksConceptsNeurobiology of stressHP foodsIncentive salienceFood motivationIntegrative heuristic modelFood-related motivationDevelopment of addictionBiology of stressNeural mechanismsNeurobiological mechanismsAddiction relapsePalatable foodAddictive drugsAllostatic loadMotivationRisk factorsSalienceHigh levelsNeurobiologyHeuristic modelEnergy homeostasisWeight gainAddictionFuture directionsDopaminergic activityEffects of Fructose vs Glucose on Regional Cerebral Blood Flow in Brain Regions Involved With Appetite and Reward Pathways
Page KA, Chan O, Arora J, Belfort-DeAguiar R, Dzuira J, Roehmholdt B, Cline GW, Naik S, Sinha R, Constable RT, Sherwin RS. Effects of Fructose vs Glucose on Regional Cerebral Blood Flow in Brain Regions Involved With Appetite and Reward Pathways. JAMA 2013, 309: 63-70. PMID: 23280226, PMCID: PMC4076145, DOI: 10.1001/jama.2012.116975.Peer-Reviewed Original ResearchConceptsRegional cerebral blood flowCerebral blood flowGlucose ingestionFructose ingestionFructose consumptionBlood flowGlucagon-like polypeptide-1Weight gainRegional CBF changesPrevalence of obesityHigh-fructose dietHealthy adult volunteersLower peak levelsConsumption of fructoseMagnetic resonance imaging sessionPosterior cingulate cortexWhole-brain analysisEffects of fructoseFunctional connectivity analysisSatiety hormonesSecondary outcomesDrink ingestionSystemic glucoseVoxel-level analysisInsulin resistance
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
Circulating glucose levels modulate neural control of desire for high-calorie foods in humans
Page KA, Seo D, Belfort-DeAguiar R, Lacadie C, Dzuira J, Naik S, Amarnath S, Constable RT, Sherwin RS, Sinha R. Circulating glucose levels modulate neural control of desire for high-calorie foods in humans. Journal Of Clinical Investigation 2011, 121: 4161-4169. PMID: 21926468, PMCID: PMC3195474, DOI: 10.1172/jci57873.Peer-Reviewed Original ResearchConceptsHigh-calorie foodsGlucose levelsHyperinsulinemic euglycemic-hypoglycemic clampsBrain regionsFunctional MRIMedial prefrontal cortexMedial prefrontal cortex activationRisk of overeatingLevels of glucosePostprandial reductionPrefrontal cortex activationObese subjectsNonobese individualsMild hypoglycemiaWorldwide epidemicCortex activationPrefrontal cortexFood cuesFood motivationFood stimuliNeural controlObesityInhibitory controlBehavioral measuresVisual cues
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 ResearchConceptsPerceptual-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