Featured Publications
A generalizable connectome-based marker of in-scan sustained attention in neurodiverse youth
Horien C, Greene A, Shen X, Fortes D, Brennan-Wydra E, Banarjee C, Foster R, Donthireddy V, Butler M, Powell K, Vernetti A, Mandino F, O'Connor D, Lake E, McPartland J, Volkmar F, Chun M, Chawarska K, Rosenberg M, Scheinost D, Constable R. A generalizable connectome-based marker of in-scan sustained attention in neurodiverse youth. Cerebral Cortex 2022, 33: 6320-6334. PMID: 36573438, PMCID: PMC10183743, DOI: 10.1093/cercor/bhac506.Peer-Reviewed Original ResearchConceptsAttention taskAttentional stateConnectome-based predictive modelingNeurodiverse conditionsSustained attention taskAttention network modelSample of youthNeurotypical participantsSustained attentionBrain correlatesNeurobiological correlatesAttention networkIndividual participantsSeparate samplesYouthParticipantsHead motionTaskCorrelatesAttentionAutismConfoundsNetwork modelGeneralizesHealthcare settingsFunctional Connectome–Based Predictive Modeling in Autism
Horien C, Floris DL, Greene AS, Noble S, Rolison M, Tejavibulya L, O'Connor D, McPartland JC, Scheinost D, Chawarska K, Lake EMR, Constable RT. Functional Connectome–Based Predictive Modeling in Autism. Biological Psychiatry 2022, 92: 626-642. PMID: 35690495, PMCID: PMC10948028, DOI: 10.1016/j.biopsych.2022.04.008.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsMeSH KeywordsAutism Spectrum DisorderAutistic DisorderBrainConnectomeForecastingHumansMagnetic Resonance ImagingThe individual functional connectome is unique and stable over months to years
Horien C, Shen X, Scheinost D, Constable RT. The individual functional connectome is unique and stable over months to years. NeuroImage 2019, 189: 676-687. PMID: 30721751, PMCID: PMC6422733, DOI: 10.1016/j.neuroimage.2019.02.002.Peer-Reviewed Original ResearchConceptsHigh ID ratesIndividual differencesFunctional connectomeIndividual functional connectomesStable individual differencesID rateResting-state fMRI datasetsFrontoparietal networkFunctional connectivityParietal cortexFMRI datasetsIdiosyncratic aspectsConnectomeHead motionEntire brainFMRIBrainCortexSpecific datasetDifferencesConnectivity
2022
Sex differences in default mode network connectivity in healthy aging adults
Ficek-Tani B, Horien C, Ju S, Xu W, Li N, Lacadie C, Shen X, Scheinost D, Constable T, Fredericks C. Sex differences in default mode network connectivity in healthy aging adults. Cerebral Cortex 2022, 33: 6139-6151. PMID: 36563018, PMCID: PMC10183749, DOI: 10.1093/cercor/bhac491.Peer-Reviewed Original ResearchConceptsDefault mode networkPreclinical Alzheimer's diseaseAlzheimer's diseaseSex differencesBrain connectivity changesDefault mode network connectivityIntrinsic connectivity distributionSeed-based analysisMode network connectivityMedial prefrontal cortexPosterior DMN nodesHealthy aging adultsImpact of sexLifetime riskDMN connectivityWhole brainPosterior cingulateDMN nodesSignificant sex differencesPrefrontal cortexConnectivity changesAging AdultsHealthy participantsDMN functionMode network
2020
Connectome-based models can predict early symptom improvement in major depressive disorder
Ju Y, Horien C, Chen W, Guo W, Lu X, Sun J, Dong Q, Liu B, Liu J, Yan D, Wang M, Zhang L, Guo H, Zhao F, Zhang Y, Shen X, Constable RT, Li L. Connectome-based models can predict early symptom improvement in major depressive disorder. Journal Of Affective Disorders 2020, 273: 442-452. PMID: 32560939, DOI: 10.1016/j.jad.2020.04.028.Peer-Reviewed Original ResearchMeSH KeywordsAntidepressive AgentsBrainConnectomeDepressive Disorder, MajorHumansMagnetic Resonance ImagingConceptsMajor depressive disorderSymptom improvementAntidepressant treatmentMDD patientsDepressive disorderTreatment outcomesEarly symptom improvementIndividual therapeutic responseInitial MR scansUntreated MDD patientsResting-state functional connectivity patternsFirst-line treatmentThree-month time pointTime pointsAntidepressant treatment outcomeBaseline functional connectivityHamilton Rating ScaleSeverity of depressionResting-state connectivityFunctional connectivity patternsResting-state fMRI dataDifferent time pointsTherapeutic responseClinical practiceFunctional brain networks
2019
Single-cell connectomic analysis of adult mammalian lungs
Raredon MSB, Adams TS, Suhail Y, Schupp JC, Poli S, Neumark N, Leiby KL, Greaney AM, Yuan Y, Horien C, Linderman G, Engler AJ, Boffa DJ, Kluger Y, Rosas IO, Levchenko A, Kaminski N, Niklason LE. Single-cell connectomic analysis of adult mammalian lungs. Science Advances 2019, 5: eaaw3851. PMID: 31840053, PMCID: PMC6892628, DOI: 10.1126/sciadv.aaw3851.Peer-Reviewed Original ResearchConceptsTissue homeostasisMammalian lungSingle-cell RNA sequencing techniquesAdult mammalian lungRNA sequencing techniquesCell-cell interactionsSequencing techniquesKey pathwaysAlveolar type IFunctional roleCell typesCell populationsRegenerative medicineHomeostatic mechanismsHomeostasisFine architectureFunctional lung tissueIncomplete understandingMajor roleType ITissueRegulationPathwayAlveolar cell populationsDistal lungRegions and Connections: Complementary Approaches to Characterize Brain Organization and Function
Horien C, Greene AS, Constable RT, Scheinost D. Regions and Connections: Complementary Approaches to Characterize Brain Organization and Function. The Neuroscientist 2019, 26: 117-133. PMID: 31304866, PMCID: PMC7079335, DOI: 10.1177/1073858419860115.Peer-Reviewed Original ResearchTen simple rules for predictive modeling of individual differences in neuroimaging
Scheinost D, Noble S, Horien C, Greene AS, Lake EM, Salehi M, Gao S, Shen X, O’Connor D, Barron DS, Yip SW, Rosenberg MD, Constable RT. Ten simple rules for predictive modeling of individual differences in neuroimaging. NeuroImage 2019, 193: 35-45. PMID: 30831310, PMCID: PMC6521850, DOI: 10.1016/j.neuroimage.2019.02.057.Peer-Reviewed Original ResearchMeSH KeywordsBrainConnectomeHumansMachine LearningMagnetic Resonance ImagingModels, NeurologicalNeuroimagingConceptsBrain-behavior associations
2017
Considering factors affecting the connectome-based identification process: Comment on Waller et al.
Horien C, Noble S, Finn ES, Shen X, Scheinost D, Constable RT. Considering factors affecting the connectome-based identification process: Comment on Waller et al. NeuroImage 2017, 169: 172-175. PMID: 29253655, PMCID: PMC5856612, DOI: 10.1016/j.neuroimage.2017.12.045.Peer-Reviewed Original Research