2024
In memoriam: R. Mark Henkelman, 1946–2024
Nieman B, Cahill L, Sled J, Lerch J, Stanisz G, Constable R, Foster F. In memoriam: R. Mark Henkelman, 1946–2024. Magnetic Resonance In Medicine 2024, 93: 4-7. DOI: 10.1002/mrm.30319.Peer-Reviewed Original ResearchMapping the structure-function relationship along macroscale gradients in the human brain
Collins E, Chishti O, Obaid S, McGrath H, King A, Shen X, Arora J, Papademetris X, Constable R, Spencer D, Zaveri H. Mapping the structure-function relationship along macroscale gradients in the human brain. Nature Communications 2024, 15: 7063. PMID: 39152127, PMCID: PMC11329792, DOI: 10.1038/s41467-024-51395-6.Peer-Reviewed Original ResearchConceptsStructure-function correspondenceBrain regionsMacroscale gradientWhite matter connectivityHuman brain regionsStructure-function couplingNeural network propertiesAssociation cortexCognitive functionBridging neuroscienceFunctional coactivationOrganizational axisCortical thicknessHuman brainMotor cortexLanguage processingBrainCortexMotor functionNatural language processingNetwork propertiesMotorNeuroscienceNatural languageData repositoriesComprehension of English for‐adverbials: The Nature of Lexical Meanings and the Neurocognitive Architecture of Language
Piñango M, Lai Y, Deo A, Foster‐Hanson E, Lacadie C, Constable T. Comprehension of English for‐adverbials: The Nature of Lexical Meanings and the Neurocognitive Architecture of Language. Topics In Cognitive Science 2024 PMID: 39008778, DOI: 10.1111/tops.12746.Peer-Reviewed Original ResearchFunctional magnetic resonance imagingArchitecture of languageLexical meaningSelf-paced readingConceptual systemNeurocognitive architectureLexical itemsConceptual representationDurative predicatesSyntactic compositionMeaning representationsProcessing profilesActivity patternsMagnetic resonance imagingSentencesConceptual structureResonance imagingIterative readingNeurocognitionLanguageMean compositionReadingComprehensionMeanItemsDevelopmental 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 valuesPathogenic variants in autism gene KATNAL2 cause hydrocephalus and disrupt neuronal connectivity by impairing ciliary microtubule dynamics
DeSpenza T, Singh A, Allington G, Zhao S, Lee J, Kiziltug E, Prina M, Desmet N, Dang H, Fields J, Nelson-Williams C, Zhang J, Mekbib K, Dennis E, Mehta N, Duy P, Shimelis H, Walsh L, Marlier A, Deniz E, Lake E, Constable R, Hoffman E, Lifton R, Gulledge A, Fiering S, Moreno-De-Luca A, Haider S, Alper S, Jin S, Kahle K, Luikart B. Pathogenic variants in autism gene KATNAL2 cause hydrocephalus and disrupt neuronal connectivity by impairing ciliary microtubule dynamics. Proceedings Of The National Academy Of Sciences Of The United States Of America 2024, 121: e2314702121. PMID: 38916997, PMCID: PMC11228466, DOI: 10.1073/pnas.2314702121.Peer-Reviewed Original ResearchConceptsCongenital hydrocephalusCerebral ventriculomegalyPathogenic variantsPrefrontal pyramidal neuronsGenetic subsets of patientsDevelopment of ventriculomegalyRadial gliaSubsets of patientsHigh-frequency firingNeuronal connectivityHeterozygous germline variantsAutism spectrum disorderVentricular-subventricular zoneMicrotubule dynamicsImpaired spermatogenesisCSF shuntingExcitatory driveMicrotubule-severing ATPasePyramidal neuronsDisrupt neuronal connectivityGermline variantsVentriculomegalyCSF homeostasisDisrupt microtubule dynamicsPlanar cell polarityLow-Field, Low-Cost, Point-of-Care Magnetic Resonance Imaging
Samardzija A, Selvaganesan K, Zhang H, Sun H, Sun C, Ha Y, Galiana G, Constable R. Low-Field, Low-Cost, Point-of-Care Magnetic Resonance Imaging. Annual Review Of Biomedical Engineering 2024, 26: 67-91. PMID: 38211326, DOI: 10.1146/annurev-bioeng-110122-022903.Peer-Reviewed Original ResearchLow‐calorie diet‐induced weight loss is associated with altered brain connectivity and food desire in obesity
Hoang H, Lacadie C, Hwang J, Lam K, Elshafie A, Rosenberg S, Watt C, Sinha R, Constable R, Savoye M, Seo D, Belfort‐DeAguiar R. Low‐calorie diet‐induced weight loss is associated with altered brain connectivity and food desire in obesity. Obesity 2024, 32: 1362-1372. PMID: 38831482, PMCID: PMC11211061, DOI: 10.1002/oby.24046.Peer-Reviewed Original ResearchFunctional magnetic resonance imagingIntrinsic connectivity distributionDiet-induced weight lossBrain connectivityAssociated with altered brain connectivityLow-calorie dietEating behavior changesShort-term low-calorie dietRight hippocampusTemporal cortexBrain networksWeight lossBrain clustersEffects of diet-induced weight lossGroup differencesFood desireGlucose levelsDiagnosis of type 2 diabetesBehavioral changesMagnetic resonance imagingType 2 diabetesBrainLeptin levelsFood intakeResonance imagingInvestigating 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 ResearchScreen time, sleep, brain structural neurobiology, and sequential associations with child and adolescent psychopathology: Insights from the ABCD study
Zhao Y, Paulus M, Tapert S, Bagot K, Constable R, Yaggi H, Redeker N, Potenza M. Screen time, sleep, brain structural neurobiology, and sequential associations with child and adolescent psychopathology: Insights from the ABCD study. Journal Of Behavioral Addictions 2024, 13: 542-553. PMID: 38662452, PMCID: PMC11220810, DOI: 10.1556/2006.2024.00016.Peer-Reviewed Original ResearchCross-lagged panel modelScreen media activitySleep problemsExternalizing symptomsAdolescent Brain Cognitive Development StudyLate childhoodCognitive Development StudyPredicted sleep problemsSleep durationAssociated with childrenAdolescent psychopathologyPsychopathological symptomsInternalizing symptomsExternalizing behaviorsPsychopathologyABCD studyStructural covarianceBidirectional associationsSleep concernsPredictive relationshipSleep disturbanceShort sleep durationPanel modelBrain covariesSleepPractical utilization of nonlinear spatial encoding: Fast field mapping and FRONSAC‐wave
Zhang H, Constable R, Galiana G. Practical utilization of nonlinear spatial encoding: Fast field mapping and FRONSAC‐wave. Magnetic Resonance In Medicine 2024, 92: 1035-1047. PMID: 38651264, PMCID: PMC11209788, DOI: 10.1002/mrm.30119.Peer-Reviewed Original ResearchCombination of wavesImage qualityFrequency domainUndersampling ratesShort calibration timeG-factor mapsWave sequencesCalibration timeWave amplitudePoint spread functionImprove image qualityMapping schemeUndersampling factorsGradient trajectoriesSpread functionEncodingIn vivo human brain imagingTrajectory mappingWaveHuman brain imagingUndersamplingField mappingEncoding gradientsSparsityMapping approachConstrained alternating minimization for parameter mapping (CAMP)
Elsaid N, Dispenza N, Hu C, Peters D, Constable R, Tagare H, Galiana G. Constrained alternating minimization for parameter mapping (CAMP). Magnetic Resonance Imaging 2024, 110: 176-183. PMID: 38657714, PMCID: PMC11193090, DOI: 10.1016/j.mri.2024.04.029.Peer-Reviewed Original ResearchConceptsAlternating minimizationAccelerated parameter mappingImage qualityReconstructed image qualityEfficient reconstruction algorithmSacrificing model accuracyParameter mapsPhantom studyK-space samplingAcceleration datasetsK-spaceUndersampling artifactsCartesian acquisitionConsecutive imagesReconstruction algorithmIndividual imagesModel cost functionExponential decayEcho timeReconstruction methodCost functionReduce artifactsPhantomScan timeObjective functionFocal White Matter Damage in Individuals with Cognitive Impairment After COVID-19 (P11-13.004)
McAlpine L, Nelson A, Chiarella J, Lacadie C, Farhadian S, Constable T, Spudich S. Focal White Matter Damage in Individuals with Cognitive Impairment After COVID-19 (P11-13.004). Neurology 2024, 102 DOI: 10.1212/wnl.0000000000204666.Peer-Reviewed Original ResearchPreliminary Characterization of Language Network Connectivity in a Logopenic Alzheimer’s Population Using Task-based fMRI (S1.006)
Oland L, Trainer A, Ficek-Tani B, Li J, Tun S, Ju S, Lacadie C, Constable T, Martin N, Fredericks C. Preliminary Characterization of Language Network Connectivity in a Logopenic Alzheimer’s Population Using Task-based fMRI (S1.006). Neurology 2024, 102 DOI: 10.1212/wnl.0000000000204401.Peer-Reviewed Original ResearchHeterogeneity Analysis on Multi-State Brain Functional Connectivity and Adolescent Neurocognition
Wang S, Constable T, Zhang H, Zhao Y. Heterogeneity Analysis on Multi-State Brain Functional Connectivity and Adolescent Neurocognition. Journal Of The American Statistical Association 2024, 119: 851-863. PMID: 39371422, PMCID: PMC11451334, DOI: 10.1080/01621459.2024.2311363.Peer-Reviewed Original ResearchEncoding scheme design for gradient-free, nonlinear projection imaging using Bloch-Siegert RF spatial encoding in a low-field, open MRI system
Selvaganesan K, Ha Y, Sun H, Zhang Z, Sun C, Samardzija A, Galiana G, Constable R. Encoding scheme design for gradient-free, nonlinear projection imaging using Bloch-Siegert RF spatial encoding in a low-field, open MRI system. Scientific Reports 2024, 14: 3307. PMID: 38332252, PMCID: PMC10853509, DOI: 10.1038/s41598-024-53703-y.Peer-Reviewed Original ResearchConceptsBloch-SiegertSpatial encodingBloch-Siegert shiftGradient-freeLow-field imagesLow fieldsProjection imagesPhase shiftLoop coilEncoding settingsEncoding schemeEncoding trajectoriesLow-field MR imagingSpatial resolutionImage reconstructionOptimization algorithmEncodingMRI systemShift effectHardware setupMR systemOpen MRI systemScheme designAlgorithmImagesMultimodal measures of spontaneous brain activity reveal both common and divergent patterns of cortical functional organization
Vafaii H, Mandino F, Desrosiers-Grégoire G, O’Connor D, Markicevic M, Shen X, Ge X, Herman P, Hyder F, Papademetris X, Chakravarty M, Crair M, Constable R, Lake E, Pessoa L. Multimodal measures of spontaneous brain activity reveal both common and divergent patterns of cortical functional organization. Nature Communications 2024, 15: 229. PMID: 38172111, PMCID: PMC10764905, DOI: 10.1038/s41467-023-44363-z.Peer-Reviewed Original Research
2023
Autism spectrum disorder-specific changes in white matter connectome edge density based on functionally defined nodes
Weber C, Lake E, Haider S, Mozayan A, Bobba P, Mukherjee P, Scheinost D, Constable R, Ment L, Payabvash S. Autism spectrum disorder-specific changes in white matter connectome edge density based on functionally defined nodes. Frontiers In Neuroscience 2023, 17: 1285396. PMID: 38075286, PMCID: PMC10702224, DOI: 10.3389/fnins.2023.1285396.Peer-Reviewed Original ResearchWhite matterPositive symptom correlationAutism spectrum disorderSymptom severity scoresBetween-group differencesAbnormal connectivity patternsCortical nodesVoxel-wise analysisDiffusion tensor imagingSeverity scoreWM fiber tractsSymptom correlationClinical dataConnectome disruptionConnectome changesEarly changesCortical regionsInfantsED reductionWM disruptionDisorder-specific changesTensor imagingFunctional imagingFiber tractsProbabilistic tractographyClinical Promise of Brain-Phenotype Modeling
Greene A, Constable R. Clinical Promise of Brain-Phenotype Modeling. JAMA Psychiatry 2023, 80: 848-854. PMID: 37314790, DOI: 10.1001/jamapsychiatry.2023.1419.Peer-Reviewed Original ResearchImpact 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 ResearchConceptsBirth 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