Dustin Scheinost, PhD, BS
Associate Professor of Radiology and Biomedical ImagingCards
About
Research
Publications
2024
Applying fetal, infant, and toddler (FIT) neuroimaging to understand mental health
Spann M, Scheinost D. Applying fetal, infant, and toddler (FIT) neuroimaging to understand mental health. Neuropsychopharmacology 2024, 1-2. PMID: 39117902, DOI: 10.1038/s41386-024-01957-5.Peer-Reviewed Original ResearchDevelopmental trajectories of the default mode, frontoparietal, and salience networks from the third trimester through the newborn period
Scheinost D, Chang J, Brennan-Wydra E, Lacadie C, Constable R, Chawarska K, Ment L. Developmental trajectories of the default mode, frontoparietal, and salience networks from the third trimester through the newborn period. Imaging Neuroscience 2024, 2: 1-16. DOI: 10.1162/imag_a_00201.Peer-Reviewed Original ResearchFronto-parietalDevelopmental trajectoriesImpact of maternal mental healthResting-state functional MRIWeeks postmenstrual ageInter-network connectivityIntra-network connectivityMaternal stress levelsMaternal mental healthPostmenstrual ageSalience networkFunctional MRINeurobehavioral disordersNeurodevelopmental disordersDMNMental healthThird trimesterConnectivity measuresSalienceConnectivity valuesEdge-centric network control on the human brain structural network
Sun H, Rosenblatt M, Dadashkarimi J, Rodriguez R, Tejavibulya L, Scheinost D. Edge-centric network control on the human brain structural network. Imaging Neuroscience 2024, 2: 1-15. DOI: 10.1162/imag_a_00191.Peer-Reviewed Original ResearchHuman brain structural networksNetwork control theoryEdge controlWhole-brain networksHuman Connectome ProjectDiffusion MRI dataWhite matter connectivityConnectome ProjectBrain dynamicsExecutive functionBrain structural networksBrain network connectivityBrain connectivityFunctional connectomeState transitionsTransitionEnergy patternsTheory modelBrain energy consumptionDynamic processStructural networkStateNetwork control mechanismsCognitive statesNetwork pairsThe 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-upInvestigating Brain State Engagement Variability in Individuals With Opioid Use Disorder Using Naturalistic and Task-Based fMRI Data
Ye J, Mehta S, Peterson H, Ibrahim A, Saeed G, Linsky S, Kreinin I, Tsang S, Nwanaji-Enwerem U, Raso A, Yip S, Tokoglu F, Arora J, Constable R, Barry D, Redeker N, Yaggi H, Scheinost D. Investigating Brain State Engagement Variability in Individuals With Opioid Use Disorder Using Naturalistic and Task-Based fMRI Data. Biological Psychiatry 2024, 95: s6. DOI: 10.1016/j.biopsych.2024.02.022.Peer-Reviewed Original Research1. Multimodal Neuroimaging Findings in Individuals With Opioid Use Disorder
Mehta S, Peterson H, Ibrahim A, Saeed G, Linsky S, Kreinin I, Tsang S, Nwanaji-Enwerem U, Raso A, Arora J, Tokoglu F, Hahn C, Lacadie C, Greene A, Constable T, Barry D, Redeker N, Yaggi H, Scheinost D. 1. Multimodal Neuroimaging Findings in Individuals With Opioid Use Disorder. Biological Psychiatry 2024, 95: s99. DOI: 10.1016/j.biopsych.2024.02.236.Peer-Reviewed Original ResearchThe tip of the iceberg: A call to embrace anti-localizationism in human neuroscience research
Noble S, Curtiss J, Pessoa L, Scheinost D. The tip of the iceberg: A call to embrace anti-localizationism in human neuroscience research. Imaging Neuroscience 2024, 2: 1-10. DOI: 10.1162/imag_a_00138.Peer-Reviewed Original ResearchMapping Early Brain–Body Interactions: Associations of Fetal Heart Rate Variation with Newborn Brainstem, Hypothalamic, and Dorsal Anterior Cingulate Cortex Functional Connectivity
Pollatou A, Holland C, Stockton T, Peterson B, Scheinost D, Monk C, Spann M. Mapping Early Brain–Body Interactions: Associations of Fetal Heart Rate Variation with Newborn Brainstem, Hypothalamic, and Dorsal Anterior Cingulate Cortex Functional Connectivity. Journal Of Neuroscience 2024, 44: e2363232024. PMID: 38604780, PMCID: PMC11140686, DOI: 10.1523/jneurosci.2363-23.2024.Peer-Reviewed Original ResearchFetal heart rate indicesDorsal anterior cingulate cortexAutonomic nervous systemDorsal anterior cingulate cortex functional connectivityFetal HRHeart rate variabilityBrain regionsFetal heart rate variationWeeks of postmenstrual ageAutonomic nervous system developmentFetal autonomic nervous systemFetal heart rate variabilityAutonomic regulationHeart rate indicesFetal heart rateNervous systemFunctional connectivityHeart rateAnterior cingulate cortex functional connectivityAnterior cingulate cortexChildren's language abilitiesFetal actocardiographInfant brainstemPostmenstrual ageWeeks gestationBrain states as wave-like motifs
Foster M, Scheinost D. Brain states as wave-like motifs. Trends In Cognitive Sciences 2024, 28: 492-503. PMID: 38582654, DOI: 10.1016/j.tics.2024.03.004.Peer-Reviewed Original ResearchData 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
Clinical Trials
Current Trials
Connectivity While Coming of Age
HIC ID2000028368RoleSub InvestigatorPrimary Completion Date12/31/2026Recruiting ParticipantsGenderBothAge18 years - 25 yearsBrain Imaging Study of Emotion Regulation in Children
HIC ID2000031303RoleSub InvestigatorPrimary Completion Date11/30/2023Recruiting ParticipantsGenderBothAge5 years - 15 yearsStudying the Adult Brain
HIC ID2000025671RoleSub InvestigatorPrimary Completion Date07/31/2025Recruiting ParticipantsNeurofeedback of Amygdala Activity for Post-traumatic Stress Disorder (PTSD)
HIC ID2000022668RoleSub InvestigatorPrimary Completion Date06/30/2023Recruiting ParticipantsGenderBothAge18+ yearsGenomic Basis of Neurodevelopmental and Brain Outcomes in Congenital Heart Disease (CHD Brain and Genes)
HIC ID2000020449RoleSub InvestigatorPrimary Completion Date12/31/2027Recruiting ParticipantsGenderBothAge8+ years
Links & Media
News
- July 31, 2024Source: Yale News
Testing Brain-behavior Machine Learning Requires Large Datasets
- June 10, 2024
Yale Child Study Center welcomes 2024 summer interns
- May 24, 2024Source: Yale News
Physical Frailty May Put People at Greater Risk of Depression
- May 10, 2024
Autism conference at Yale highlights latest research & clinical advances