2023
Connectome-based prediction of craving in gambling disorder and cocaine use disorder
Antons S, Yip S, Lacadie C, Dadashkarimi J, Scheinost D, Brand M, Potenza M. Connectome-based prediction of craving in gambling disorder and cocaine use disorder. Dialogues In Clinical Neuroscience 2023, 25: 33-42. PMID: 37190759, PMCID: PMC10190201, DOI: 10.1080/19585969.2023.2208586.Peer-Reviewed Original ResearchConceptsCocaine use disorderGambling disorderBehavioral addictionsCue-reactivity taskComponents of memoryGeneral neural mechanismCommon neural networkFunctional magnetic resonanceMedial frontal regionsDefault mode networkFeatures of addictionAutobiographical memoryValence ratingsMeta-analytic dataPrefrontal regionsNeural mechanismsPrefrontal cortexFronto-parietalFrontal regionsMotor imageryMotor/Diverse sampleLimbic networkNeural connectivityCravingAltered Brain Dynamics Across Bipolar Disorder and Schizophrenia During Rest and Task Switching Revealed by Overlapping Brain States
Ye J, Sun H, Gao S, Dadashkarimi J, Rosenblatt M, Rodriguez R, Mehta S, Jiang R, Noble S, Westwater M, Scheinost D. Altered Brain Dynamics Across Bipolar Disorder and Schizophrenia During Rest and Task Switching Revealed by Overlapping Brain States. Biological Psychiatry 2023, 94: 580-590. PMID: 37031780, PMCID: PMC10524212, DOI: 10.1016/j.biopsych.2023.03.024.Peer-Reviewed Original ResearchConceptsAberrant brain dynamicsMultiple brain statesBipolar disorderTask-based functional magnetic resonanceFunctional magnetic resonanceAltered brain dynamicsBrain statesTask-based functional magnetic resonance imagingFunctional magnetic resonance imagingMagnetic resonance imagingHealthy control participantsBrain dynamicsSignificant group differencesMagnetic resonanceMultivariate analysisResonance imagingSchizophreniaTime pointsControl participantsGroup differencesNeural mechanismsOlder participantsPreliminary evidenceDynamic alterationsDisorders
2022
A graph theory neuroimaging approach to distinguish the depression of bipolar disorder from major depressive disorder in adolescents and young adults
Goldman DA, Sankar A, Rich A, Kim JA, Pittman B, Constable RT, Scheinost D, Blumberg HP. A graph theory neuroimaging approach to distinguish the depression of bipolar disorder from major depressive disorder in adolescents and young adults. Journal Of Affective Disorders 2022, 319: 15-26. PMID: 36103935, PMCID: PMC9669784, DOI: 10.1016/j.jad.2022.09.016.Peer-Reviewed Original ResearchConceptsAdolescents/young adultsMajor depressive disorderDepressive disorderYoung adultsICD increasesBipolar disorderInterhemispheric functional connectivityFunctional connectivity differencesSeed-based analysisFunctional connectivity patternsSeed-based connectivityFunctional magnetic resonanceFunctional connectivity measuresBasal gangliaFunctional dysconnectivityIllness progressionTreatment strategiesClinical measuresEarly diagnosisHC groupTargeted treatmentConnectivity differencesSuicide thoughtsFunctional connectivityDeleterious treatmentA cognitive state transformation model for task-general and task-specific subsystems of the brain connectome
Yoo K, Rosenberg MD, Kwon YH, Scheinost D, Constable RT, Chun MM. A cognitive state transformation model for task-general and task-specific subsystems of the brain connectome. NeuroImage 2022, 257: 119279. PMID: 35577026, PMCID: PMC9307138, DOI: 10.1016/j.neuroimage.2022.119279.Peer-Reviewed Original ResearchConceptsDifferent cognitive statesCognitive stateWhole-brain functional connectomeRelevant individual differencesFunctional reorganizationFunctional magnetic resonanceResting-state dataSpecific task goalsTask-induced modulationHuman Connectome ProjectContext-dependent changesIndividual differencesTask goalsContextual demandsBehavioral predictionsCognitive behaviorFunctional connectomeConnectome ProjectBrain connectomeHuman brainBrain functional reorganizationC2C modelConnectomeBrainMemoryGraph theory analysis of whole brain functional connectivity to assess disturbances associated with suicide attempts in bipolar disorder
Sankar A, Scheinost D, Goldman DA, Drachman R, Colic L, Villa LM, Kim JA, Gonzalez Y, Marcelo I, Shinomiya M, Pittman B, Lacadie CM, Oquendo MA, Constable RT, Blumberg HP. Graph theory analysis of whole brain functional connectivity to assess disturbances associated with suicide attempts in bipolar disorder. Translational Psychiatry 2022, 12: 7. PMID: 35013103, PMCID: PMC8748935, DOI: 10.1038/s41398-021-01767-z.Peer-Reviewed Original ResearchConceptsIntrinsic connectivity distributionBipolar disorderSuicide attemptsHealthy volunteersFunctional connectivity disturbancesSuicide behaviorWhole-brain functional connectivityPrior suicide attemptsRight anterior insulaBrain functional connectivitySuicidal ideation severityBilateral ventromedial prefrontal cortexFunctional magnetic resonanceSignificant group differencesTemporopolar cortexConnectivity disturbancesBrain targetsFC differencesHigh riskCerebellar cortexVentromedial prefrontal cortexSuicidal ideationOrbitofrontal cortexFunctional connectivitySuicide risk
2021
A graph theory‐based whole brain approach to assess mood state differences in adolescents and young adults with bipolar disorder
Goldman DA, Sankar A, Colic L, Villa L, Kim JA, Pittman B, Constable RT, Scheinost D, Blumberg HP. A graph theory‐based whole brain approach to assess mood state differences in adolescents and young adults with bipolar disorder. Bipolar Disorders 2021, 24: 412-423. PMID: 34665907, PMCID: PMC9016085, DOI: 10.1111/bdi.13144.Peer-Reviewed Original ResearchConceptsLenticular nucleusFunctional connectivityPrefrontal cortexMood statesYoung adultsLimited brain regionsAcute mood statesRight lenticular nucleusBipolar I disorderDorsal prefrontal cortexPrevious neuroimaging studiesWhole-brain approachTemporal functional connectivityFunctional magnetic resonanceLeft prefrontal cortexBrain dysfunctionContralateral homologuesHealthy controlsI disordersDepression scoresICD increasesRight cerebellumBipolar disorderEarly interventionBrain regions
2019
Randomized, Sham-Controlled Trial of Real-Time Functional Magnetic Resonance Imaging Neurofeedback for Tics in Adolescents With Tourette Syndrome
Sukhodolsky DG, Walsh C, Koller WN, Eilbott J, Rance M, Fulbright RK, Zhao Z, Bloch MH, King R, Leckman JF, Scheinost D, Pittman B, Hampson M. Randomized, Sham-Controlled Trial of Real-Time Functional Magnetic Resonance Imaging Neurofeedback for Tics in Adolescents With Tourette Syndrome. Biological Psychiatry 2019, 87: 1063-1070. PMID: 31668476, PMCID: PMC7015800, DOI: 10.1016/j.biopsych.2019.07.035.Peer-Reviewed Original ResearchConceptsSupplementary motor areaYale Global Tic Severity ScaleFunctional magnetic resonanceTic Severity ScaleReal-time functional magnetic resonanceTourette syndromeSeverity ScaleYale Global Tic Severity Scale-Total Tic ScoreTotal tic scorePrimary outcome measureSham control conditionReduction of ticsMagnetic resonanceSecondary outcomesSessions of neurofeedbackCrossover studyTic symptomsTic scoreOutcome measuresMotor areaSecondary measuresTic severityReal neurofeedbackEnd pointNeurofeedback interventionThe Functional Brain Organization of an Individual Allows Prediction of Measures of Social Abilities Transdiagnostically in Autism and Attention-Deficit/Hyperactivity Disorder
Lake EMR, Finn ES, Noble SM, Vanderwal T, Shen X, Rosenberg MD, Spann MN, Chun MM, Scheinost D, Constable RT. The Functional Brain Organization of an Individual Allows Prediction of Measures of Social Abilities Transdiagnostically in Autism and Attention-Deficit/Hyperactivity Disorder. Biological Psychiatry 2019, 86: 315-326. PMID: 31010580, PMCID: PMC7311928, DOI: 10.1016/j.biopsych.2019.02.019.Peer-Reviewed Original ResearchConceptsAttention-deficit/hyperactivity disorderAutism spectrum disorderSpectrum disorderFunctional connectivity profilesHyperactivity disorderBrain organizationAutism Brain Imaging Data ExchangeConnectome-based predictive modelingAutism Diagnostic Observation ScheduleAutism spectrum disorder traitsAutism spectrum disorder severitySocial Responsiveness Scale scoresADHD Rating Scale scoresFunctional magnetic resonance imagingBrain-behavior associationsSocial Responsiveness ScaleResting-state functional magnetic resonanceFunctional brain organizationFunctional magnetic resonanceADHD traitsNeurofunctional basisADHD symptomsSplit-half analysisResponsiveness ScaleSocial abilities
2018
Insula as the Interface Between Body Awareness and Movement: A Neurofeedback-Guided Kinesthetic Motor Imagery Study in Parkinson’s Disease
Tinaz S, Para K, Vives-Rodriguez A, Martinez-Kaigi V, Nalamada K, Sezgin M, Scheinost D, Hampson M, Louis ED, Constable RT. Insula as the Interface Between Body Awareness and Movement: A Neurofeedback-Guided Kinesthetic Motor Imagery Study in Parkinson’s Disease. Frontiers In Human Neuroscience 2018, 12: 496. PMID: 30581383, PMCID: PMC6292989, DOI: 10.3389/fnhum.2018.00496.Peer-Reviewed Original ResearchCortical-basal ganglia circuitsDorsomedial frontal cortexFunctional connectivityMotor imageryMotivational contextIntentional movementMotor imagery strategyFunctional magnetic resonanceFrontal cortexNeural circuit modelKinesthetic motor imageryParkinson's diseaseLimbic circuitsMotor imagery studiesGanglia circuitsImagery strategyInternal motivationSensory cuesImagery studiesNeurofeedback sessionsSustain movementSensory signalsMotor preparednessCortex circuitBody awarenessAmygdala functional connectivity is associated with social impairments in preterm born young adults
Johns CB, Lacadie C, Vohr B, Ment LR, Scheinost D. Amygdala functional connectivity is associated with social impairments in preterm born young adults. NeuroImage Clinical 2018, 21: 101626. PMID: 30545688, PMCID: PMC6413301, DOI: 10.1016/j.nicl.2018.101626.Peer-Reviewed Original ResearchConceptsVineland Adaptive Behavior ScalesYouth Self-ReportAmygdala functional connectivitySocial impairmentChild Behavior ChecklistFunctional connectivityAmygdala connectivityPreterm participantsSocial functioningSocial functioning correlatesSocial functioning deficitsResting-state functional magnetic resonanceFunctional magnetic resonancePreterm-born adolescentsAdaptive Behavior ScalesAge 16Term-born peersEmotional developmentPreterm birth experienceParent reportDevelopmental trajectoriesRisk of depressionLate adolescentsBehavior ChecklistSelf-Report
2016
Cingulate cortex functional connectivity predicts future relapse in alcohol dependent individuals
Zakiniaeiz Y, Scheinost D, Seo D, Sinha R, Constable RT. Cingulate cortex functional connectivity predicts future relapse in alcohol dependent individuals. NeuroImage Clinical 2016, 13: 181-187. PMID: 27981033, PMCID: PMC5144743, DOI: 10.1016/j.nicl.2016.10.019.Peer-Reviewed Original ResearchConceptsPosterior cingulate cortexAUD patientsFunctional connectivityCingulate cortexCox proportional hazards regressionChronic relapsing illnessWhole-brain investigationProportional hazards regressionFunctional connectivity differencesAlcohol-dependent patientsVoxel-wise connectivityNeutral cuesAlcohol-dependent individualsHealthy control participantsFunctional magnetic resonanceRelapse measuresHazards regressionSubsequent relapseDependent patientsInpatient treatmentAlcohol relapseFuture relapsePatientsAlcohol dependenceConnectivity differences
2014
BOLD signal and functional connectivity associated with loving kindness meditation
Garrison KA, Scheinost D, Constable RT, Brewer JA. BOLD signal and functional connectivity associated with loving kindness meditation. Brain And Behavior 2014, 4: 337-347. PMID: 24944863, PMCID: PMC4055184, DOI: 10.1002/brb3.219.Peer-Reviewed Original ResearchConceptsPCC/PCuFunctional connectivityGreater functional connectivityIntrinsic connectivityPosterior cingulate cortex/precuneusParahippocampus/hippocampusSeed-based connectivity analysisBOLD signalBlood oxygen level-dependent (BOLD) signalGroup differencesIntrinsic connectivity distributionLevel-dependent signalKindness meditationCortical midline regionsDefault mode networkFunctional magnetic resonanceInsula lobeInferior frontal gyrusSilent repetitionBrain regionsLeft inferior frontal gyrusFrontal gyrusMidline regionSelf-related processingMode network
2013
Potential Use and Challenges of Functional Connectivity Mapping in Intractable Epilepsy
Constable RT, Scheinost D, Finn ES, Shen X, Hampson M, Winstanley FS, Spencer DD, Papademetris X. Potential Use and Challenges of Functional Connectivity Mapping in Intractable Epilepsy. Frontiers In Neurology 2013, 4: 39. PMID: 23734143, PMCID: PMC3660665, DOI: 10.3389/fneur.2013.00039.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsFunctional connectivity mappingIntractable epilepsyFunctional connectivityResting-state functional magnetic resonanceConnectivity analysisConnectivity mappingWhole-brain assessmentFunctional brain organizationFunctional connectivity analysisFunctional magnetic resonanceEpileptogenic tissueEpilepsy patientsSurgical proceduresCortical regionsEpilepsyCompensatory responseBrain organizationHuman brainBrainFunctional organizationMagnetic resonanceVoxel levelTissuePatientsReview
2011
Biofeedback of Real-Time Functional Magnetic Resonance Imaging Data from the Supplementary Motor Area Reduces Functional Connectivity to Subcortical Regions
Hampson M, Scheinost D, Qiu M, Bhawnani J, Lacadie CM, Leckman JF, Constable RT, Papademetris X. Biofeedback of Real-Time Functional Magnetic Resonance Imaging Data from the Supplementary Motor Area Reduces Functional Connectivity to Subcortical Regions. Brain Connectivity 2011, 1: 91-98. PMID: 22432958, PMCID: PMC3621512, DOI: 10.1089/brain.2011.0002.Peer-Reviewed Original ResearchConceptsSupplementary motor areaReal-time functional magnetic resonanceFunctional connectivityTourette syndromeFunctional magnetic resonanceMotor areaSubcortical regionsBiofeedback sessionsState functional connectivityTic symptomsMagnetic resonance imaging dataHealthy subjectsTS patientsMagnetic resonanceBrain areasBiofeedbackFunctional magnetic resonance imaging (fMRI) dataFurther studiesSignificant increaseAberrant dynamicsSubjectsRecent studiesImaging dataSessionsPatients