2025
Chronotherapeutic intervention targeting emotion regulation brain circuitry, symptoms, and suicide risk in adolescents and young adults with bipolar disorder: a pilot randomised trial
Kim J, Sankar A, Marks R, Carrubba E, Lecza B, Quatrano S, Spencer L, Constable R, Pittman B, Lebowitz E, Silverman W, Swartz H, Blumberg H. Chronotherapeutic intervention targeting emotion regulation brain circuitry, symptoms, and suicide risk in adolescents and young adults with bipolar disorder: a pilot randomised trial. BMJ Mental Health 2025, 28: e301338. PMID: 39971594, PMCID: PMC11840897, DOI: 10.1136/bmjment-2024-301338.Peer-Reviewed Original ResearchConceptsBipolar disorderEmotion regulationSuicide riskBrain circuitryChronotherapeutic interventionsEmotional face stimuliLeft amygdala responseRisk of bipolar disorderTargeting emotion regulationReduce suicide riskHigher suicide riskYoung adultsFunctional MRI dataPost-treatment improvementAmygdala responsePotential intervention targetsEmotion dysregulationMania symptomsMood episodesFace stimuliCircuitry dysfunctionRegulation therapyDaily rhythmsWeekly sessionsSelf-monitoring
2024
Label Noise-Robust Ensemble Deep Multimodal Framework For Neuroimaging Data
Rokham H, Falakshahi H, Calhoun V. Label Noise-Robust Ensemble Deep Multimodal Framework For Neuroimaging Data. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2024, 00: 1-4. PMID: 40039505, DOI: 10.1109/embc53108.2024.10782672.Peer-Reviewed Original ResearchConceptsLabel noiseEffects of label noiseBrain-based markersSelf-report assessmentsLabel noise problemFunctional MRI dataDeep convolutional frameworkDeep learning modelsK-fold cross-validation techniqueAssessment of diagnosisNosological categoriesCross-validation techniqueNeuroimaging dataMental illnessClassification performanceConvolutional frameworkDiagnostic categoriesDiagnostic classificationEnsemble methodsMultimodal frameworkLearning modelsSubsets of dataBagging approachK-foldNeuroimagingWanting-liking dissociation and altered dopaminergic functioning: Similarities between internet gaming disorder and tobacco use disorder
Ma X, Wang M, Zhou W, Zhang Z, Ni H, Jiang A, Zheng Y, Du X, Potenza M, Dong G. Wanting-liking dissociation and altered dopaminergic functioning: Similarities between internet gaming disorder and tobacco use disorder. Journal Of Behavioral Addictions 2024, 13: 596-609. PMID: 38635338, PMCID: PMC11220823, DOI: 10.1556/2006.2024.00011.Peer-Reviewed Original ResearchInternet gaming disorderTobacco use disorderIGD participantsGaming disorderCue-craving taskImplicit Association TestBrain-behavior mechanismsHealthy control participantsImplicit association test resultsFunctional MRI dataNeuromelanin-sensitive MRIIncentive sensitizationAddiction severityDopaminergic involvementDSM-5Dopaminergic functionDopaminergic systemPotential dissociationUse disorderControl participantsBrain featuresHedonic responsesAssociation TestGaming motivesNeural featuresNeuroimaging alterations and relapse in early-stage psychosis
Mihaljevic M, Nagpal A, Etyemez S, Narita Z, Ross A, Schaub R, Cascella N, Coughlin J, Nestadt G, Nucifora F, Sedlak T, Calhoun V, Faria A, Yang K, Sawa A. Neuroimaging alterations and relapse in early-stage psychosis. Journal Of Psychiatry And Neuroscience 2024, 49: e135-e142. PMID: 38569725, PMCID: PMC10980532, DOI: 10.1503/jpn.230115.Peer-Reviewed Original ResearchConceptsEarly-stage psychosisNeuroimaging alterationsResting-state functional MRI dataNo-relapse groupFunctional connectivity changesFunctional MRI dataHealthy controlsMagnetic resonance imagingRelapse groupPsychotic disordersFunctional connectivity estimatesBrain changesPsychotic eventsPsychosisConnectivity changesSymptom exacerbationConnectivity estimatesComparison correctionNo relapseLongitudinal studyThalamusNeuroimagingMRI dataClinical confounding factorsControl groupDynamic functional connectivity in anorexia nervosa: alterations in states of low connectivity and state transitions
Boehm I, Mennigen E, Geisler D, Poller N, Gramatke K, Calhoun V, Roessner V, King J, Ehrlich S. Dynamic functional connectivity in anorexia nervosa: alterations in states of low connectivity and state transitions. Journal Of Child Psychology And Psychiatry 2024, 65: 1299-1310. PMID: 38480007, DOI: 10.1111/jcpp.13970.Peer-Reviewed Original ResearchConceptsAnorexia nervosaFunctional connectivityResting state functional connectivityResting-state functional MRI dataInternalizing mental disordersAssociated with preoccupationOnset of anorexia nervosaFunctional MRI dataFemale healthy controlsHealthy controlsDynamic functional connectivityDynamics of functional connectivityTemporal dynamics of functional connectivityFunctional connectivity statesMental disordersStatic analytical approachesGroup differencesNervosaFractional timeMRI dataAdolescentsConnectivity statesFemale patientsClinical featuresTemporal dynamicsReconfiguration of Structural and Functional Connectivity Coupling in Patient Subgroups With Adolescent Depression
Xu M, Li X, Teng T, Huang Y, Liu M, Long Y, Lv F, Zhi D, Li X, Feng A, Yu S, Calhoun V, Zhou X, Sui J. Reconfiguration of Structural and Functional Connectivity Coupling in Patient Subgroups With Adolescent Depression. JAMA Network Open 2024, 7: e241933. PMID: 38470418, PMCID: PMC10933730, DOI: 10.1001/jamanetworkopen.2024.1933.Peer-Reviewed Original ResearchConceptsAdolescent major depressive disorderMajor depressive disorderSC-FC couplingIncreased SC-FC couplingSC-FCMode networkSuicide attemptsFirst-episode major depressive disorderVisual networkMDD subgroupsNonsuicidal self-injurious behaviorRates of self-injuryHealthy controlsResting-state functional MRI dataMagnetic resonance imagingCross-sectional studySelf-injurious behaviorOutpatient psychiatry clinicFunctional MRI dataMajor life eventsFirst Affiliated Hospital of Chongqing Medical UniversityDepressive disorderNeurobiological mechanismsChildhood traumaSelf-injuryFunctional MRI of the Brainstem for Assessing Its Autonomic Functions: From Imaging Parameters and Analysis to Functional Atlas
Mohamed A, Kwiatek R, Del Fante P, Calhoun V, Lagopoulos J, Shan Z. Functional MRI of the Brainstem for Assessing Its Autonomic Functions: From Imaging Parameters and Analysis to Functional Atlas. Journal Of Magnetic Resonance Imaging 2024, 60: 1880-1891. PMID: 38339792, DOI: 10.1002/jmri.29286.Peer-Reviewed Original ResearchTemporal signal-to-noise-ratioHuman Connectome ProjectTesla MR scannerT1-weighted imagesFunctional atlasFunctional MRIFunctional MRI protocolROI overlapBrainstem atlasAdolescent Brain Cognitive DevelopmentBrainstem regionsBrainstemAutonomic functionImaging protocolFunctional MRI scansMeta-analysisConnectome ProjectImaging parametersMR scannerMRISignal-to-noise-ratioRoot-mean-square (rmsFunctional MRI data
2023
Association of Novelty-Related Locus Coeruleus Function With Entorhinal Tau Deposition and Memory Decline in Preclinical Alzheimer Disease
Prokopiou P, Engels-Domínguez N, Schultz A, Sepulcre J, Koops E, Papp K, Marshall G, Normandin M, El Fakhri G, Rentz D, Sperling R, Johnson K, Jacobs H. Association of Novelty-Related Locus Coeruleus Function With Entorhinal Tau Deposition and Memory Decline in Preclinical Alzheimer Disease. Neurology 2023, 101: e1206-e1217. PMID: 37491329, PMCID: PMC10516269, DOI: 10.1212/wnl.0000000000207646.Peer-Reviewed Original ResearchConceptsLC activityMemory declineLocus coeruleusCognitive declineEC tauHarvard Aging Brain StudyHuman neuroimaging studiesSteeper memory declineNoradrenergic brainstem nucleiLongitudinal cognitive dataFunctional MRI dataTau depositionAging Brain StudyPreclinical Alzheimer's diseaseTau progressionCortical tau depositionElevated beta-amyloidInterventions promoting resilienceMild cognitive impairmentExecutive dysfunctionExecutive functionNeuroimaging studiesTau spreadingTemporal cortexCognitive compositeA Deep Learning Approach for Psychosis Spectrum Label Noise Detection from Multimodal Neuroimaging Data
Rokham H, Falakshahi H, Calhoun V. A Deep Learning Approach for Psychosis Spectrum Label Noise Detection from Multimodal Neuroimaging Data. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2023, 00: 1-4. PMID: 38082903, DOI: 10.1109/embc40787.2023.10339949.Peer-Reviewed Original ResearchConceptsStructural MRI dataResting-state functional MRI dataFunctional MRI dataFunctional magnetic resonance imaging dataMRI dataMagnetic resonance imaging dataSchizophrenia patientsFunctional connectivity featuresBrain imaging modalitiesMental disordersNeuroimaging dataNeuroimaging techniquesBorderline subjectsHealthy control groupSchizophrenia datasetSchizophreniaConnectivity featuresBrainPsychosisMoodNosologyControl groupDisordersLabel noiseSubjects
2022
Neural event segmentation of continuous experience in human infants
Yates T, Skalaban L, Ellis C, Bracher A, Baldassano C, Turk-Browne N. Neural event segmentation of continuous experience in human infants. Proceedings Of The National Academy Of Sciences Of The United States Of America 2022, 119: e2200257119. PMID: 36252007, PMCID: PMC9618143, DOI: 10.1073/pnas.2200257119.Peer-Reviewed Original ResearchConceptsEarly visual regionsEvent segmentationVisual regionsAdults' brain activityContinuous sensory inputFunctional MRI dataEvent cognitionNaturalistic perceptionBehavioral judgmentsInfants' segmentationEvent boundariesNeural patternsBrain activitySensory regionsContinuous experienceSimplified taskInfant brainHuman infantsAssociative regionsSensory inputTemporal integrationAwake infantsBrain regionsAdult experienceTemporal precision
2021
Sex differences in connectivity in the default mode network in healthy aging adults
Ficek B, Horien C, Lacadie C, Shen X, Scheinost D, Constable T, Fredericks C. Sex differences in connectivity in the default mode network in healthy aging adults. Alzheimer's & Dementia 2021, 17 DOI: 10.1002/alz.056050.Peer-Reviewed Original ResearchIntrinsic connectivity distributionDefault mode networkAlzheimer's diseaseHealthy aging adultsElevated riskAging AdultsLarge cross-sectional studyPosterior default mode networkSex differencesMode networkCross-sectional cohortCross-sectional studyPreclinical Alzheimer's diseaseSymptomatic Alzheimer's diseaseResting-state scansSex-based differencesAnterior nodeAD showDMN connectivityHealthy adultsFunctional MRI dataNormal individualsResults FemalesZ-scoreFunctional connectivityIncreased amygdala and decreased frontolimbic r esting- s tate functional connectivity in children with aggressive behavior
Sukhodolsky DG, Ibrahim K, Kalvin CB, Jordan RP, Eilbott J, Hampson M. Increased amygdala and decreased frontolimbic r esting- s tate functional connectivity in children with aggressive behavior. Social Cognitive And Affective Neuroscience 2021, 17: 634-644. PMID: 34850939, PMCID: PMC9250305, DOI: 10.1093/scan/nsab128.Peer-Reviewed Original ResearchConceptsDorsal anterior cingulateFunctional connectivityAnterior cingulateDorsolateral prefrontal cortical regionsResting-state brain connectivityAggressive behaviorResting-state functional connectivityIntrinsic connectivity distributionAmygdala-prefrontal circuitryAnterior cingulate cortexIntrinsic functional connectivityPrefrontal cortical regionsHealthy controlsAmygdala connectivityGreater severityVentromedial prefrontal cortexCingulate cortexFunctional MRI dataCortical regionsMedial prefrontalMaladaptive aggressionPrefrontal cortexBrain connectivitySeverity of aggressionTreatment-seeking children
2020
Transdiagnostic, Connectome-Based Prediction of Memory Constructs Across Psychiatric Disorders
Barron DS, Gao S, Dadashkarimi J, Greene AS, Spann MN, Noble S, Lake EMR, Krystal JH, Constable RT, Scheinost D. Transdiagnostic, Connectome-Based Prediction of Memory Constructs Across Psychiatric Disorders. Cerebral Cortex 2020, 31: 2523-2533. PMID: 33345271, PMCID: PMC8023861, DOI: 10.1093/cercor/bhaa371.Peer-Reviewed Original ResearchConceptsMacroscale brain networksIndividual differencesBrain networksMemory deficitsFunctional connectivityAttention deficit hyper-activity disorderTask-based functional MRI dataLong-term memoryWhole-brain functional connectivityDiagnostic groupsWhole-brain patternsDefault mode networkFunctional MRI dataHuman Connectome ProjectPsychiatric disordersMemory constructsMemory performanceTransdiagnostic sampleBrain correlatesMode networkFunctional connectomeConnectome ProjectLimbic networkHealthy participantsMemoryAltered frontal cortex functioning in emotion regulation and hopelessness in bipolar disorder
Sankar A, Purves K, Colic L, Lippard ETC, Millard H, Fan S, Spencer L, Wang F, Pittman B, Constable RT, Gross JJ, Blumberg HP. Altered frontal cortex functioning in emotion regulation and hopelessness in bipolar disorder. Bipolar Disorders 2020, 23: 152-164. PMID: 32521570, PMCID: PMC7790437, DOI: 10.1111/bdi.12954.Peer-Reviewed Original ResearchConceptsExplicit emotion regulationEmotion regulationBrain responsesMood statesDorsal anterior cingulate cortexEmotion regulation difficultiesHappy facial stimuliFrontal cortex functioningDorsal frontal regionsBipolar disorderAcute mood symptomsAnterior cingulate cortexFunctional MRI dataMajor suicide risk factorsNegative affective symptomsEuthymic mood stateRegional brain responsesFacial stimuliRegulation difficultiesFrontal engagementMOFC responseNegative emotionsLoss of motivationDiminished motivationEuthymic individuals
2019
Connectome-Based Prediction of Cocaine Abstinence
Yip SW, Scheinost D, Potenza MN, Carroll KM. Connectome-Based Prediction of Cocaine Abstinence. American Journal Of Psychiatry 2019, 176: 156-164. PMID: 30606049, PMCID: PMC6481181, DOI: 10.1176/appi.ajp.2018.17101147.Peer-Reviewed Original ResearchMeSH KeywordsAdultBehavior TherapyBrainCholinesterase InhibitorsCocaine-Related DisordersCognitionConnectomeExecutive FunctionFemaleFunctional NeuroimagingGalantamineHumansIndividualityMachine LearningMagnetic Resonance ImagingMaleMiddle AgedNeural PathwaysOpiate Substitution TreatmentOpioid-Related DisordersPrognosisRewardTreatment OutcomeConceptsConnectome-based predictive modelingCocaine use disorderUse disordersBrain-based predictorsLarge-scale neural networksFunctional MRI dataCocaine abstinenceExecutive controlReward responsivenessIndividual differencesBaseline cocaine usePosttreatment assessmentConnectivity strengthHeterogeneous sampleAbstinenceIndependent samplesNovel interventionsCanonical networksSpecific behaviorsCocaine useSignificant correspondenceDisordersTreatment outcomesNetwork strengthMRI data
2018
Methylation in OTX2 and related genes, maltreatment, and depression in children
Kaufman J, Wymbs NF, Montalvo-Ortiz JL, Orr C, Albaugh MD, Althoff R, O’Loughlin K, Holbrook H, Garavan H, Kearney C, Yang BZ, Zhao H, Peña C, Nestler EJ, Lee RS, Mostofsky S, Gelernter J, Hudziak J. Methylation in OTX2 and related genes, maltreatment, and depression in children. Neuropsychopharmacology 2018, 43: 2204-2211. PMID: 30089883, PMCID: PMC6135753, DOI: 10.1038/s41386-018-0157-y.Peer-Reviewed Original ResearchConceptsMouse modelStress-related depressive disordersResting-state functional connectivity dataResting-state functional MRI dataDepressive-like behaviorEarly life stressSubset of childrenDNA specimensMedial frontal cortexPeripheral markersMeasures of depressionHomeobox 2 geneSubcallosal gyrusFunctional connectivity dataDepressive disorderFrontal cortexChild adversityMultiple molecular toolsFunctional MRI dataFrontal poleLarger studyFunctional connectivitySaliva samplesBilateral regionsUnbiased transcriptomicsBehavioral interventions for reducing head motion during MRI scans in children
Greene DJ, Koller JM, Hampton JM, Wesevich V, Van AN, Nguyen AL, Hoyt CR, McIntyre L, Earl EA, Klein RL, Shimony JS, Petersen SE, Schlaggar BL, Fair DA, Dosenbach NUF. Behavioral interventions for reducing head motion during MRI scans in children. NeuroImage 2018, 171: 234-245. PMID: 29337280, PMCID: PMC5857466, DOI: 10.1016/j.neuroimage.2018.01.023.Peer-Reviewed Original ResearchConceptsFMRI scansFunctional connectivityBehavioral interventionsResting-state fMRI scansFunctional MRI scansReal-time visual feedbackDiffusion imaging resultsMRI scansPatient careHead motionFunctional MRI dataStructural MRISedationNeuropsychiatric patientsVisual feedbackSafe methodResearch scansScansYoung childrenChildrenMRIResearch settingsImaging resultsMRI qualityMRI data
2016
Compensatory Hyperconnectivity in Developing Brains of Young Children With Type 1 Diabetes
Saggar M, Tsalikian E, Mauras N, Mazaika P, White NH, Weinzimer S, Buckingham B, Hershey T, Reiss AL. Compensatory Hyperconnectivity in Developing Brains of Young Children With Type 1 Diabetes. Diabetes 2016, 66: 754-762. PMID: 27702833, PMCID: PMC5319714, DOI: 10.2337/db16-0414.Peer-Reviewed Original ResearchConceptsControl subjectsIntrinsic connectivityAge-matched control subjectsYoung childrenBrain intrinsic connectivityResting-state functional MRI dataType 1 diabetesSeed-based analysisCognitive functioningBlood glucoseSustained dysregulationOverall group differencesLarge multisite studyT1DYounger ageFunctional MRI dataCognitive deficitsType 1Cognitive functionObserved positive associationDiabetesMultisite studyCompensatory roleGroup differencesBrainAltered functional brain connectivity in children and young people with opsoclonus–myoclonus syndrome
Chekroud A, Anand G, Yong J, Pike M, Bridge H. Altered functional brain connectivity in children and young people with opsoclonus–myoclonus syndrome. Developmental Medicine & Child Neurology 2016, 59: 98-104. PMID: 27658927, DOI: 10.1111/dmcn.13262.Peer-Reviewed Original ResearchConceptsOpsoclonus-myoclonus syndromeMagnetic resonance imagingMotor cortexOccipito-parietal regionsAltered functional brain connectivityWidespread brain involvementResting-state functional MRI dataComparison groupStructural brain changesCross-sectional studyFunctional brain connectivitySeed-based analysisBrain functional connectivityAge-matched comparison participantsBrain involvementMotor sequelaeBasal gangliaBrain changesPatientsResonance imagingBrain regionsFunctional MRI dataFunctional connectivityVisual networkBrain connectivity
2015
Methodological Issues in fMRI Functional Connectivity and Network Analysis
Finn E, Scheinost D, Shen X, Papademetris X, Constable R. Methodological Issues in fMRI Functional Connectivity and Network Analysis. 2015, 697-704. DOI: 10.1016/b978-0-12-397025-1.00352-3.Peer-Reviewed Original Research
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