2024
Brain age prediction and deviations from normative trajectories in the neonatal connectome
Sun H, Mehta S, Khaitova M, Cheng B, Hao X, Spann M, Scheinost D. Brain age prediction and deviations from normative trajectories in the neonatal connectome. Nature Communications 2024, 15: 10251. PMID: 39592647, PMCID: PMC11599754, DOI: 10.1038/s41467-024-54657-5.Peer-Reviewed Original ResearchMeSH KeywordsBrainConnectomeDiffusion Tensor ImagingFemaleGestational AgeHumansInfantInfant, NewbornInfant, PrematureMachine LearningMagnetic Resonance ImagingMaleConceptsPostmenstrual agePerinatal periodBrain age predictionFunctional connectomeMonths of postnatal lifeMonths of lifePreterm infantsNormative trajectoryConnectome-based predictive modelingThird trimesterPerinatal exposureBrain age gapPostnatal lifeResting-state fMRIInfantsHuman Connectome ProjectNeonatal connectomeDevelopmental trajectoriesBrainBehavioral outcomesNormative dataMonthsConnectome ProjectDTI dataConnectome
2023
Impact of postnatal weight gain on brain white matter maturation in very preterm infants
Bobba P, Weber C, Higaki A, Mukherjee P, Scheinost D, Constable R, Ment L, Taylor S, Payabvash S. Impact of postnatal weight gain on brain white matter maturation in very preterm infants. Journal Of Neuroimaging 2023, 33: 991-1002. PMID: 37483073, PMCID: PMC10800683, DOI: 10.1111/jon.13145.Peer-Reviewed Original ResearchMeSH KeywordsBirth WeightBrainDiffusion Tensor ImagingFemaleHumansInfantInfant, NewbornInfant, PrematurePregnancyWhite MatterConceptsBirth weight z-scoreMagnetic resonance imagingVery preterm infantsPostnatal weight gainWeight z-scoreWhite matter maturationBirth weightDiffusion tensor imagingNeurological outcomePreterm infantsGestational ageWeight gainCorpus callosumHigher birth weight z-scoresBrain white matter maturationLong-term neurological deficitsZ-scoreBrain developmentWeight z-score changeWM tractsZ-score changeWM maturationWeeks of lifeNeurological deficitsNutritional intervention
2022
Age‐related topographic map of magnetic resonance diffusion metrics in neonatal brains
Bobba PS, Weber CF, Mak A, Mozayan A, Malhotra A, Sheth KN, Taylor SN, Vossough A, Grant PE, Scheinost D, Constable RT, Ment LR, Payabvash S. Age‐related topographic map of magnetic resonance diffusion metrics in neonatal brains. Human Brain Mapping 2022, 43: 4326-4334. PMID: 35599634, PMCID: PMC9435001, DOI: 10.1002/hbm.25956.Peer-Reviewed Original ResearchConceptsGestational ageCerebellar white matterWhite matterNeonatal brainDiffusion-weighted imagingCorpus callosumMD valuesCorpus callosum myelinationLower gestational ageTerm-equivalent ageSubcortical white matterFA/MDApparent diffusion coefficient (ADC) valuesMonths of ageDiffusion tensor imaging (DTI) metricsDiffusion metricsAge-related evolutionAge-related changesAge-specific normative valuesNeonatal ageBrain parenchymaCorticospinal tractNeonate brainDiffusivity metricsADC values
2019
Prefrontal Cortical and Behavioral Adaptations to Surgical Delivery Mediated by Metabolic Principles
Taylor-Giorlando M, Scheinost D, Ment L, Rothman D, Horvath TL. Prefrontal Cortical and Behavioral Adaptations to Surgical Delivery Mediated by Metabolic Principles. Cerebral Cortex 2019, 29: 5061-5071. PMID: 30877804, PMCID: PMC6918927, DOI: 10.1093/cercor/bhz046.Peer-Reviewed Original ResearchConceptsMode of deliverySurgical deliveryLayer 3 pyramidal neuronsAlters mitochondrial dynamicsValues of miceMurine findingsCerebral cortexPyramidal neuronsAdult behaviorHuman neonatesMaze testPrepulse inhibitionSpine synapsesPsychiatric illnessAdult miceNeuronal circuitryAnimal modelsClinical relevanceHuman clinical relevanceUCP-2Prefrontal cortexMitochondrial adaptationsImpaired performanceMitochondrial mechanismsBehavioral phenotypes
2017
Multimodal Investigation of Network Level Effects Using Intrinsic Functional Connectivity, Anatomical Covariance, and Structure-to-Function Correlations in Unmedicated Major Depressive Disorder
Scheinost D, Holmes SE, DellaGioia N, Schleifer C, Matuskey D, Abdallah CG, Hampson M, Krystal JH, Anticevic A, Esterlis I. Multimodal Investigation of Network Level Effects Using Intrinsic Functional Connectivity, Anatomical Covariance, and Structure-to-Function Correlations in Unmedicated Major Depressive Disorder. Neuropsychopharmacology 2017, 43: 1119-1127. PMID: 28944772, PMCID: PMC5854800, DOI: 10.1038/npp.2017.229.Peer-Reviewed Original ResearchConceptsMajor depressive disorderAnterior cingulate cortexIntrinsic functional connectivityMedial prefrontal cortexFunctional connectivityLarge-scale brain networksDepressive disorderMDD groupAnatomical covarianceBrain networksUnmedicated major depressive disorderWhole-brain intrinsic functional connectivitySystem-level disorderIntrinsic connectivity distributionRegional brain structureMultiple brain networksAltered connectivityCommon findingHealthy comparison participantsDepressive symptomsAltered volumeUnmedicated individualsLocal circuitryCingulate cortexDepressive symptomatology