2024
The brain structure, inflammatory, and genetic mechanisms mediate the association between physical frailty and depression
Jiang R, Noble S, Rosenblatt M, Dai W, Ye J, Liu S, Qi S, Calhoun V, Sui J, Scheinost D. The brain structure, inflammatory, and genetic mechanisms mediate the association between physical frailty and depression. Nature Communications 2024, 15: 4411. PMID: 38782943, PMCID: PMC11116547, DOI: 10.1038/s41467-024-48827-8.Peer-Reviewed Original ResearchConceptsIncident depressionPre-frailPhysical frailtyFrail individualsPopulation attributable fraction analysisRisk factors of depressionMendelian randomization analysisFactors of depressionPotential causal effectModifiable risk factorsNon-frail individualsCross-sectional studyEffect of frailtyHigher disease burdenUK BiobankRandomization analysisBrain volumeDepression casesDisease burdenFrailtyRegional brain volumesIncreased riskDepressionHigh riskFollow-upData leakage inflates prediction performance in connectome-based machine learning models
Rosenblatt M, Tejavibulya L, Jiang R, Noble S, Scheinost D. Data leakage inflates prediction performance in connectome-based machine learning models. Nature Communications 2024, 15: 1829. PMID: 38418819, PMCID: PMC10901797, DOI: 10.1038/s41467-024-46150-w.Peer-Reviewed Original Research
2023
The effects of experience of discrimination and acculturation during pregnancy on the developing offspring brain
Spann M, Alleyne K, Holland C, Davids A, Pierre-Louis A, Bang C, Oyeneye V, Kiflom R, Shea E, Cheng B, Peterson B, Monk C, Scheinost D. The effects of experience of discrimination and acculturation during pregnancy on the developing offspring brain. Neuropsychopharmacology 2023, 49: 476-485. PMID: 37968451, PMCID: PMC10724278, DOI: 10.1038/s41386-023-01765-3.Peer-Reviewed Original Research
2021
Resample aggregating improves the generalizability of connectome predictive modeling
O’Connor D, Lake EMR, Scheinost D, Constable RT. Resample aggregating improves the generalizability of connectome predictive modeling. NeuroImage 2021, 236: 118044. PMID: 33848621, PMCID: PMC8282199, DOI: 10.1016/j.neuroimage.2021.118044.Peer-Reviewed Original ResearchFunctional connectivity during frustration: a preliminary study of predictive modeling of irritability in youth
Scheinost D, Dadashkarimi J, Finn ES, Wambach CG, MacGillivray C, Roule AL, Niendam TA, Pine DS, Brotman MA, Leibenluft E, Tseng WL. Functional connectivity during frustration: a preliminary study of predictive modeling of irritability in youth. Neuropsychopharmacology 2021, 46: 1300-1306. PMID: 33479511, PMCID: PMC8134471, DOI: 10.1038/s41386-020-00954-8.Peer-Reviewed Original ResearchConceptsFunctional connectivityAttention-deficit/hyperactivity disorderCognitive flexibility taskDisruptive mood dysregulation disorderAffective Reactivity IndexLevels of irritabilityPreliminary fMRI studyCognitive flexibilityFlexibility taskIndividual differencesTransdiagnostic sampleFrontal networkFMRI studyHyperactivity disorderTask difficultyNeural mechanismsParent reportAnxiety symptomsSalience networkAnxiety disordersFrustrative nonrewardDimensional measuresPreliminary evidenceReactivity indexChild psychiatry
2020
Big data approaches to identifying sex differences in long-term memory
Tejavibulya L, Scheinost D. Big data approaches to identifying sex differences in long-term memory. Cognitive Neuroscience 2020, 12: 185-186. PMID: 33356847, PMCID: PMC8222419, DOI: 10.1080/17588928.2020.1866520.Peer-Reviewed Original ResearchTransdiagnostic, 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 participantsMemoryLow-motion fMRI data can be obtained in pediatric participants undergoing a 60-minute scan protocol
Horien C, Fontenelle S, Joseph K, Powell N, Nutor C, Fortes D, Butler M, Powell K, Macris D, Lee K, Greene AS, McPartland JC, Volkmar FR, Scheinost D, Chawarska K, Constable RT. Low-motion fMRI data can be obtained in pediatric participants undergoing a 60-minute scan protocol. Scientific Reports 2020, 10: 21855. PMID: 33318557, PMCID: PMC7736342, DOI: 10.1038/s41598-020-78885-z.Peer-Reviewed Original ResearchConceptsPediatric participantsMRI protocolMagnetic resonance imaging (MRI) scansFunctional magnetic resonance imaging (fMRI) scansShorter MRI protocolsScan protocolResonance imaging scansImaging scansMRI sessionsFMRI connectivity analysisFMRI dataFMRI findingsSignificant confoundScansReplication groupConnectivity analysisAutism spectrum disorderMock scanSpectrum disorderParticipantsHead motionProtocolA hitchhiker’s guide to working with large, open-source neuroimaging datasets
Horien C, Noble S, Greene AS, Lee K, Barron DS, Gao S, O’Connor D, Salehi M, Dadashkarimi J, Shen X, Lake EMR, Constable RT, Scheinost D. A hitchhiker’s guide to working with large, open-source neuroimaging datasets. Nature Human Behaviour 2020, 5: 185-193. PMID: 33288916, PMCID: PMC7992920, DOI: 10.1038/s41562-020-01005-4.Peer-Reviewed Original ResearchBehavioral and brain signatures of substance use vulnerability in childhood
Rapuano KM, Rosenberg MD, Maza MT, Dennis NJ, Dorji M, Greene AS, Horien C, Scheinost D, Constable R, Casey BJ. Behavioral and brain signatures of substance use vulnerability in childhood. Developmental Cognitive Neuroscience 2020, 46: 100878. PMID: 33181393, PMCID: PMC7662869, DOI: 10.1016/j.dcn.2020.100878.Peer-Reviewed Original ResearchConceptsConnectome-based predictive modelingSubstance useFunctional connectivityCognitive Development StudyFuture substance useSubstance use vulnerabilityAdolescent substance useSubstance use increasesSubstance use outcomesIndividual differencesAdolescent brainBrain signaturesTask conditionsBehavioral measuresFamilial risk factorsUse outcomesRisky behaviorsLatent dimensionsFamilial factorsBrain modelCurrent studyWeak predictorDevelopment studiesEarly susceptibilityFunctional imagingAssociation of Maternal Prepregnancy Body Mass Index With Fetal Growth and Neonatal Thalamic Brain Connectivity Among Adolescent and Young Women
Spann MN, Scheinost D, Feng T, Barbato K, Lee S, Monk C, Peterson BS. Association of Maternal Prepregnancy Body Mass Index With Fetal Growth and Neonatal Thalamic Brain Connectivity Among Adolescent and Young Women. JAMA Network Open 2020, 3: e2024661. PMID: 33141162, PMCID: PMC7610195, DOI: 10.1001/jamanetworkopen.2020.24661.Peer-Reviewed Original ResearchConceptsMaternal prepregnancy BMIMaternal prepregnancy body mass indexPrepregnancy body mass indexNeonatal functional connectivityPrepregnancy BMIBody mass indexFetal growthFunctional connectivityFetal weightMass indexMAIN OUTCOMEHigher maternal prepregnancy body mass indexElectronic health record reviewAdverse long-term outcomesProspective longitudinal cohort studyColumbia University Irving Medical CenterBrain connectivityHigher maternal BMIHealth record reviewLong-term outcomesRoutine prenatal careLongitudinal cohort studyMajor health problemFetal head circumferenceTime of recruitmentAssociation of Prefrontal-Striatal Functional Pathology With Alcohol Abstinence Days at Treatment Initiation and Heavy Drinking After Treatment Initiation
Blaine SK, Wemm S, Fogelman N, Lacadie C, Seo D, Scheinost D, Sinha R. Association of Prefrontal-Striatal Functional Pathology With Alcohol Abstinence Days at Treatment Initiation and Heavy Drinking After Treatment Initiation. American Journal Of Psychiatry 2020, 177: 1048-1059. PMID: 32854534, PMCID: PMC7606814, DOI: 10.1176/appi.ajp.2020.19070703.Peer-Reviewed Original ResearchConceptsAlcohol use disorderTreatment initiationAlcohol abstinenceHeavy drinkingFunctional MRIEarly treatment outcomesEarly treatment phaseHealthy control subjectsEarly outpatient treatmentNumber of daysStress imagesDrinking outcomesChronic alcohol abuseHeavy drinking daysSignificant hyperreactivityControl subjectsOutpatient treatmentStriatal dysfunctionEarly treatmentTreatment outcomesBrain stressFunctional pathologyProspective assessmentTreatment phaseAlcohol abuseMagnetic resonance image connectivity analysis provides evidence of central nervous system mode of action for parasacral transcutaneous electro neural stimulation - A pilot study
Netto JMB, Scheinost D, Onofrey JA, Franco I. Magnetic resonance image connectivity analysis provides evidence of central nervous system mode of action for parasacral transcutaneous electro neural stimulation - A pilot study. Journal Of Pediatric Urology 2020, 16: 536-542. PMID: 32873504, DOI: 10.1016/j.jpurol.2020.08.002.Peer-Reviewed Original ResearchConceptsDorsal lateral prefrontal cortexAnterior cingulate cortexOveractive bladderFunctional connectivityPrefrontal cortexUrinary tract symptomsSacral nerve stimulatorCommon treatment modalityRight scapular regionACC functional connectivityResting-state conditionsMechanism of actionTract symptomsMotor thresholdCentral effectsACC connectivityNerve stimulatorSacral levelTreatment modalitiesFunctional connectivity dataMechanism of effectivenessAdult volunteersFrontal lobeSubcortical regionsCingulate cortexHow Tasks Change Whole-Brain Functional Organization to Reveal Brain-Phenotype Relationships
Greene AS, Gao S, Noble S, Scheinost D, Constable RT. How Tasks Change Whole-Brain Functional Organization to Reveal Brain-Phenotype Relationships. Cell Reports 2020, 32: 108066. PMID: 32846124, PMCID: PMC7469925, DOI: 10.1016/j.celrep.2020.108066.Peer-Reviewed Original ResearchFunctional brain connectivity in ex utero premature infants compared to in utero fetuses
De Asis-Cruz J, Kapse K, Basu SK, Said M, Scheinost D, Murnick J, Chang T, du Plessis A, Limperopoulos C. Functional brain connectivity in ex utero premature infants compared to in utero fetuses. NeuroImage 2020, 219: 117043. PMID: 32534962, PMCID: PMC7493786, DOI: 10.1016/j.neuroimage.2020.117043.Peer-Reviewed Original ResearchConceptsPremature infantsHealthy fetusesBrain connectivityStructural brain injuryBlood oxygenation level-dependent (BOLD) signalBrain structural changesStress-related areasNormal brain MRIState functional MRIFunctional connectivity strengthFunctional brain connectivityLevel-dependent signalMedial temporal lobeNetwork-based statisticsSeed-based correlation analysisUtero fetusesBasal gangliaBrain injuryTerm ageBrain MRITemporal lobeExposure altersInfantsRegion of interestFunctional MRIIdentification of a brain fingerprint for overweight and obesity
Farruggia MC, van Kooten MJ, Perszyk EE, Burke MV, Scheinost D, Constable RT, Small DM. Identification of a brain fingerprint for overweight and obesity. Physiology & Behavior 2020, 222: 112940. PMID: 32417645, PMCID: PMC7321926, DOI: 10.1016/j.physbeh.2020.112940.Peer-Reviewed Original ResearchConceptsPercent body fatWaist circumferenceBody fatWhole-brain functional connectivityBrain network patternsGlucose toleranceBlood insulinObesityOverweightPathophysiological phenotypesFunctional connectivity networksFunctional connectivityMilkshake consumptionBrain correlatesBrain fingerprintsBMIAdiposityBrainCircumferenceConnectivity networksFatDiabetesPathophysiologyCentral roleInsulinDe novo damaging variants associated with congenital heart diseases contribute to the connectome
Ji W, Ferdman D, Copel J, Scheinost D, Shabanova V, Brueckner M, Khokha MK, Ment LR. De novo damaging variants associated with congenital heart diseases contribute to the connectome. Scientific Reports 2020, 10: 7046. PMID: 32341405, PMCID: PMC7184603, DOI: 10.1038/s41598-020-63928-2.Peer-Reviewed Original ResearchMeSH KeywordsConnectomeDNA HelicasesDNA-Binding ProteinsExomeFemaleHeart Defects, CongenitalHistone-Lysine N-MethyltransferaseHomeodomain ProteinsHumansMaleMi-2 Nucleosome Remodeling and Deacetylase ComplexMutationMutation, MissenseMyeloid-Lymphoid Leukemia ProteinNerve Tissue ProteinsProtein Tyrosine Phosphatase, Non-Receptor Type 11Receptor, Notch1ConceptsDe novo variantsNDD genesCardiac patterningDe novo damaging variantsDamaging de novo variantsCHD genesDamaging variantsGenesProtein truncatingGenetic originNovo variantsGene mutationsPatterningRecent studiesDendritic developmentVariantsMutationsNeurogenesisSynaptogenesisBonferroni correctionAssociations between different dimensions of prenatal distress, neonatal hippocampal connectivity, and infant memory
Scheinost D, Spann MN, McDonough L, Peterson BS, Monk C. Associations between different dimensions of prenatal distress, neonatal hippocampal connectivity, and infant memory. Neuropsychopharmacology 2020, 45: 1272-1279. PMID: 32305039, PMCID: PMC7297970, DOI: 10.1038/s41386-020-0677-0.Peer-Reviewed Original ResearchConceptsPrenatal maternal distressInfant memoryMaternal distressCortex connectivityPrenatal distressHippocampal connectivityFunctional connectivityNegative psychological statesMeasures of distressHippocampal functional connectivityDifferent dimensionsPregnant adolescentsHippocampal seedsPsychological stateMemory abilityReinforcement taskResting-state imaging dataInfant brainDistressUnique effectsMemoryMultiple dimensionsAdolescentsWeeks post-menstrual agePost-menstrual ageConnectome-based neurofeedback: A pilot study to improve sustained attention
Scheinost D, Hsu TW, Avery EW, Hampson M, Constable RT, Chun MM, Rosenberg MD. Connectome-based neurofeedback: A pilot study to improve sustained attention. NeuroImage 2020, 212: 116684. PMID: 32114151, PMCID: PMC7165055, DOI: 10.1016/j.neuroimage.2020.116684.Peer-Reviewed Original ResearchConceptsFunctional connectivityRt-fMRIReal-time functional magnetic resonance imaging (rt-fMRI) neurofeedbackWhole-brain functional connectivityClinical trial designFunctional magnetic resonance imaging (fMRI) neurofeedbackDistinct brain areasConnectome-based modelsClinical symptomsTrial designBrain areasBrain regionsSustained attentionTherapeutic toolPilot studyBrain activityFunctional connectionsSymptomsNeurofeedbackFunctional networksTraining durationAttention taskComplex functional networksPilot sampleFunctional connectivity predicts changes in attention observed across minutes, days, and months
Rosenberg MD, Scheinost D, Greene AS, Avery EW, Kwon YH, Finn ES, Ramani R, Qiu M, Constable RT, Chun MM. Functional connectivity predicts changes in attention observed across minutes, days, and months. Proceedings Of The National Academy Of Sciences Of The United States Of America 2020, 117: 3797-3807. PMID: 32019892, PMCID: PMC7035597, DOI: 10.1073/pnas.1912226117.Peer-Reviewed Original ResearchConceptsConnectome-based predictive modelsAttentional stateSustained attentionIndividual differencesSustained attention functionFunctional connectivity signaturesFunctional brain connectivityFunctional connectivity patternsAttention functionConnectivity signaturesFunctional connectivityBrain connectivityConnectivity patternsAttentionSingle personSame patternIndividualsConnectivityIndependent studiesRecent workState changesPersonsPeopleDifferencesAbility