2023
Transdiagnostic 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 disordersConnectomeIndividuals
2019
How Spirituality May Mitigate Against Stress and Related Mental Disorders: a Review and Preliminary Neurobiological Evidence
McClintock C, Worhunsky P, Balodis I, Sinha R, Miller L, Potenza M. How Spirituality May Mitigate Against Stress and Related Mental Disorders: a Review and Preliminary Neurobiological Evidence. Current Behavioral Neuroscience Reports 2019, 6: 253-262. DOI: 10.1007/s40473-019-00195-0.Peer-Reviewed Original ResearchBrain mechanismsStress processingSelf-referential processingFunctional magnetic resonance imaging (fMRI) dataPotential brain mechanismsSpecific brain mechanismsImportant resilience factorMental disordersPreliminary fMRI dataStress-related psychopathologyMechanisms of psychopathologyDefault mode networkStress-related mental disordersCognitive processingNeurobiological evidenceNeural mechanismsNeural responsesNeuroscientific researchResilience factorsMagnetic resonance imaging dataNeural circuitryFMRI dataStress responsivityBrain regionsAcute stressDifferential resting state connectivity responses to glycemic state in type 1 diabetes
Parikh L, Seo D, Lacadie C, Belfort-DeAguiar R, Groskreutz D, Hamza M, Dai F, Scheinost D, Sinha R, Constable R, Sherwin R, Hwang J. Differential resting state connectivity responses to glycemic state in type 1 diabetes. The Journal Of Clinical Endocrinology & Metabolism 2019 DOI: 10.1210/jcem/dgz004.Peer-Reviewed Original ResearchType 1 diabetesState functional connectivityHealthy controlsDefault mode networkFunctional connectivityImpact of T1DMHealthy control volunteersAcademic medical centerAngular gyrus connectivityState connectivity patternsFunctional connectivity analysisHyperinsulinemic euglycemicHypoglycemic unawarenessHypoglycemia unawarenessHypoglycemic clampHypoglycemia awarenessFunctional outcomeControl volunteersMild hypoglycemiaGlycemic stateObservational studyMedical CenterT1DMHypoglycemiaNeurocognitive consequences
2018
Hypoglycemia Unawareness in T1DM Is Associated with Altered Brain Default Mode Network Connectivity
GROSKREUTZ D, HWANG J, SEO D, LACADIE C, PARIKH L, BELFORT-DEAGUIAR R, SCHEINOST D, SINHA R, CONSTABLE T, SHERWIN R. Hypoglycemia Unawareness in T1DM Is Associated with Altered Brain Default Mode Network Connectivity. Diabetes 2018, 67 DOI: 10.2337/db18-11-lb.Peer-Reviewed Original ResearchDefault mode networkHypoglycemia awarenessDMN connectivityAvoidance of hypoglycemiaDefault mode network connectivityHypoglycemia symptom scoresMode network connectivityBrain connectivity patternsBOLD-fMRI scanningMannKind CorporationT1DM individualsHypoglycemia unawarenessHypoglycemic clampSymptom scoresRegeneron PharmaceuticalsGlaxoSmithKline plcPlasma cortisolState connectivityMode networkFMRI scanningHypoglycemiaElicit changesBrainFunctional networksConnectivity patterns