Dustin Scheinost, PhD, BS
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About
Titles
Associate Professor of Radiology and Biomedical Imaging
Biography
Dustin Scheinost, Ph.D., is an Assistant Professor of Radiology & Biomedical Imaging, Biomedical Engineering, Statistics & Data Science, and at the Yale Child Study Center. The Multi-modal Imaging, Neuroinformatics, & Data Science (MINDS) Lab’s research is three-fold. First, using state-of-the-art research for connectomics, we aim to develop novel statistical and machine learning methods for functional connectivity to meet challenges arising with the “big” neuroscience data. Second, the MINDS lab helps lead development of BioImage Suite Web (BISWeb; https://bioimagesuiteweb.github.io/webapp/), integrated image analysis webapp. Third, we are at the cutting edge of early life neuroimaging, focusing on the development of the brain’s functional organization in fetuses, neonates, and infants. We are a founding member of Fetal, Infant, Toddler Neuroimaging Group (FIT’NG). This research has been supported by NIMH, NIAA, NIDA, and NHLBI.
Appointments
Radiology & Biomedical Imaging
Associate Professor on TermPrimaryChild Study Center
Associate Professor on TermSecondary
Other Departments & Organizations
- Bioimaging Sciences
- Center for Brain & Mind Health
- Child Study Center
- Interdepartmental Neuroscience Program
- Magnetic Resonance Imaging
- Magnetic Resonance Research Center
- Multi-modal Imaging, Neuroinformatics, & Data Science (MINDS) Laboratory
- Neuroscience Research Training Program (NRTP)
- Neuroscience Track
- Radiology & Biomedical Imaging
- Wu Tsai Institute
- Yale Combined Program in the Biological and Biomedical Sciences (BBS)
- Yale Stress Center
Education & Training
- PhD
- Yale University (2013)
- BS
- Washington University in St. Louis (2007)
Research
Publications
Developmental 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 values315-OR: Task-Induced Alterations in the Salience Network amongst Patients with Type 1 Diabetes
SANCHEZ RANGEL E, BELFORT-DEAGUIAR R, LACADIE C, CHUNG T, SCHEINOST D, MASON G, HWANG J. 315-OR: Task-Induced Alterations in the Salience Network amongst Patients with Type 1 Diabetes. Diabetes 2024, 73 DOI: 10.2337/db24-315-or.Peer-Reviewed Original ResearchSalience networkFunctional connectivityCognitive tasksBrain responsesType 1 diabetesBrain functional connectivityResting stateMild hypoglycemiaWorking memoryBrain regionsSalienceContinuous performanceRewardBrainCounterregulatory hormonesStandard preprocessingTaskIndividual traitsMemoryPatientsHypoglycemiaT1DGradCPTStimuliAttentionEdge-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 Research490. Functional Connectivity Patterns Associated With Self-Reported Pain Measures in Individuals With Opioid Use Disorder
Le M, Mehta S, Peterson H, Ibrahim A, Saeed G, Linsky S, Kreinin I, Tsang S, Nwanaji-Enwerem U, Raso A, Yip S, Barry D, Redeker N, Yaggi H, Scheinost D. 490. Functional Connectivity Patterns Associated With Self-Reported Pain Measures in Individuals With Opioid Use Disorder. Biological Psychiatry 2024, 95: s300. DOI: 10.1016/j.biopsych.2024.02.989.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 Research431. Connectome-Based Predictive Modeling of Psychosis Symptoms in Early and Chronic Psychosis
Foster M, Scheinost D. 431. Connectome-Based Predictive Modeling of Psychosis Symptoms in Early and Chronic Psychosis. Biological Psychiatry 2024, 95: s276. DOI: 10.1016/j.biopsych.2024.02.930.Peer-Reviewed Original Research156. Association Between Physical Frailty and Incident Depression
Jiang R, Noble S, Rosenblatt M, Ye J, Calhoun V, Sui J, Scheinost D. 156. Association Between Physical Frailty and Incident Depression. Biological Psychiatry 2024, 95: s163. DOI: 10.1016/j.biopsych.2024.02.391.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 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
- 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
- April 08, 2024Source: Yale News
New State of Mind: Rethinking How Researchers Understand Brain Activity