2024
Investigating the Bone Bruise Patterns in Pediatric Patients With Contact and Noncontact Acute Anterior Cruciate Ligament Tears: A Multicenter Study
Moran J, Amaral J, Lee M, Jones R, Gross P, Katz L, Wang A, Carrino J, Jimenez A, Chhabra B, Kan J, Smith B, Gladstein A, McKay S, LaPrade R, Fabricant P, Medvecky M. Investigating the Bone Bruise Patterns in Pediatric Patients With Contact and Noncontact Acute Anterior Cruciate Ligament Tears: A Multicenter Study. The American Journal Of Sports Medicine 2024, 52: 2456-2463. PMID: 39101652, DOI: 10.1177/03635465241264282.Peer-Reviewed Original ResearchMagnetic resonance imagingMechanism of injuryBone bruise patternPreoperative MRI scansACL tearsBone bruisesNoncontact ACL tearsPediatric patientsPresence of bone bruiseMeniscus tearsFat-suppressed T2-weighted imagesAcute anterior cruciate ligament tearsLocation of bone bruisesMRI scansAnterior cruciate ligament (ACL) tearsIpsilateral knee injuriesAnterior cruciate ligament tearsPrimary ACL reconstruction surgeryMagnetic resonance imaging scansConcomitant medial meniscus tearLateral meniscus tearsMedial meniscus tearCruciate ligament tearsT2-weighted imagesNoncontact mechanism of injuryIn vivo neuropil density from anatomical MRI and machine learning
Akif A, Staib L, Herman P, Rothman D, Yu Y, Hyder F. In vivo neuropil density from anatomical MRI and machine learning. Cerebral Cortex 2024, 34: bhae200. PMID: 38771239, PMCID: PMC11107380, DOI: 10.1093/cercor/bhae200.Peer-Reviewed Original ResearchConceptsMagnetic resonance imagingSynaptic densityNeuropil densityCellular densityArtificial neural networkNeural networkPositron emission tomographyAnatomical magnetic resonance imagingHealthy subjectsSynaptic activityMRI scansMachine learning algorithmsBrain's energy budgetEmission tomographyIn vivo MRI scansResonance imagingTissue cellularityLearning algorithmsDiffusion magnetic resonance imagingMachine learningMicroscopic interpretationInterpretation of functional neuroimaging dataIndividual predictionsSubjectsMIR137 polygenic risk for schizophrenia and ephrin-regulated pathway: Role in lateral ventricles and corpus callosum volume
Blokland G, Maleki N, Jovicich J, Mesholam-Gately R, DeLisi L, Turner J, Shenton M, Voineskos A, Kahn R, Roffman J, Holt D, Ehrlich S, Kikinis Z, Dazzan P, Murray R, Lee J, Sim K, Lam M, de Zwarte S, Walton E, Kelly S, Picchioni M, Bramon E, Makris N, David A, Mondelli V, Reinders A, Oykhman E, Morris D, Gill M, Corvin A, Cahn W, Ho N, Liu J, Gollub R, Manoach D, Calhoun V, Sponheim S, Buka S, Cherkerzian S, Thermenos H, Dickie E, Ciufolini S, Marques T, Crossley N, Purcell S, Smoller J, van Haren N, Toulopoulou T, Donohoe G, Goldstein J, Keshavan M, Petryshen T, del Re E. MIR137 polygenic risk for schizophrenia and ephrin-regulated pathway: Role in lateral ventricles and corpus callosum volume. International Journal Of Clinical And Health Psychology 2024, 24: 100458. PMID: 38623146, PMCID: PMC11017057, DOI: 10.1016/j.ijchp.2024.100458.Peer-Reviewed Original ResearchIncreased LV volumesLV ratioLateral ventricleLV volumesCorpus callosumEphrin pathwaysSZ probandsHallmarks of schizophreniaEnlarged lateral ventriclesSNP-based heritability estimatesGlobal Assessment of FunctioningBrain MRI scansGlobal functioningCorpus callosum volumeAssessment of FunctioningClinical dataCC abnormalitiesMicroRNA MIR137MRI scansCC volumeGlobal assessmentMid-anteriorInverse correlationSchizophreniaMIR137Comparison of brain imaging and physical health between research and clinical neuroimaging cohorts of ageing
Mossa-Basha M, Andre J, Yuh E, Hunt D, LaPiana N, Howlett B, Krakauer C, Crane P, Nelson J, DeZelar M, Meyers K, Larson E, Ralston J, Mac Donald C. Comparison of brain imaging and physical health between research and clinical neuroimaging cohorts of ageing. British Journal Of Radiology 2024, 97: 614-621. PMID: 38303547, PMCID: PMC11027291, DOI: 10.1093/bjr/tqae004.Peer-Reviewed Original ResearchConceptsCommon Data ElementsMRI groupThought (ACTClinical health measuresResearch MRIAging populationWhite matter hyperintensityPrevalence of hypertensionBrain MRI measuresMRI scansNeuroimaging cohortMRI participantsAdult ChangesPhysical healthHealth measuresOverall healthOutcome measuresResearch cohortBrain imagingWMH burdenCongestive heart failureData elementsBrainMRI measurementsMRI metricsPreliminary examination of the effects of an early parenting intervention on amygdala-orbitofrontal cortex resting-state functional connectivity among high-risk children: A randomized clinical trial.
Korom M, Valadez E, Tottenham N, Dozier M, Spielberg J. Preliminary examination of the effects of an early parenting intervention on amygdala-orbitofrontal cortex resting-state functional connectivity among high-risk children: A randomized clinical trial. Development And Psychopathology 2024, 37: 384-392. PMID: 38247369, PMCID: PMC11260902, DOI: 10.1017/s0954579423001669.Peer-Reviewed Original ResearchResting-state functional connectivityMiddle childhoodFunctional connectivityResting-state functional MRI scansChildren's emotion regulationFunctional MRI scansChild protective servicesRs-FC analysisEarly parenting interventionsCPS-involved familiesEmotion regulationRs-FCSeed-based RS FC analysisFoster care programsEvidence-based parenting programsParenting interventionsHigh-risk childrenGroup-level predictorsComparison groupParenting programsGroup of familiesMRI scansChildrenRandomized clinical trialsChildhood
2023
The association between duration of breastfeeding and the trajectory of brain development from childhood to young adulthood: an 8-year longitudinal study
Grevet L, Teixeira D, Pan P, Jackowski A, Zugman A, Miguel E, Rohde L, Salum G. The association between duration of breastfeeding and the trajectory of brain development from childhood to young adulthood: an 8-year longitudinal study. European Child & Adolescent Psychiatry 2023, 33: 1863-1873. PMID: 37650992, DOI: 10.1007/s00787-023-02283-9.Peer-Reviewed Original ResearchOverall cortical thicknessDuration of breastfeedingTotal intracranial volumeCortical thicknessBrain developmentIntracranial volumeLong-term health benefitsHealth benefitsHigh-risk cohortTotal brain volumeGlobal cortical thicknessStructural brain developmentMental health benefitsMultiple confoundersCortical areasMRI scansBrain areasBrain volumeBreastfeedingMRI T1Time pointsBrain measuresEarly adulthoodYoung adulthoodLongitudinal studyMulticenter retrospective evaluation of magnetic resonance imaging in pediatric and congenital heart disease patients with cardiac implantable electronic devices
Gakenheimer-Smith L, Ou Z, Kuang J, Moore J, Burrows A, Kovach J, Dechert B, Beach C, Ayers M, Tan R, Mostafavifar M, Mah D, Conner T, Turpin S, Avasarala K, Shah M, Webster G, Posey J, Etheridge S, Binka E, Niu M, Asaki S, Lambert L, Pilcher T. Multicenter retrospective evaluation of magnetic resonance imaging in pediatric and congenital heart disease patients with cardiac implantable electronic devices. Heart Rhythm 2023, 20: 1752-1758. PMID: 37648183, DOI: 10.1016/j.hrthm.2023.08.034.Peer-Reviewed Original ResearchConceptsCardiac implantable electronic devicesMagnetic resonance imagingCongenital heart disease patientsHeart disease patientsCHD patientsImplantable electronic devicesDisease patientsMRI scansConditional cardiac implantable electronic devicesMulticenter retrospective evaluationMulticenter retrospective reviewPatient adverse eventsCongenital Cardiac CentreRoutine MRI scansPost-MRIAdverse eventsCardiac centerPrimary outcomeRetrospective reviewMinor symptomsEpicardial leadsRetrospective evaluationPatientsGuideline acceptanceResonance imagingNovel use of alternate (Alt) response (Rp) criteria (Cr) for early prediction of outcomes in pancreatic (P) neuroendocrine tumors (NETs): Utilizing banked imaging data from the ECOG-ACRIN E2211 study.
Vijayvergia N, Handorf E, Kunz P, Alkim E, Burke L, Catalano P, Graham N, Levin L, Li W, Meeker C, Rubin D, Narasimhan Sridharan A, O'Dwyer P, Wong T, Anaokar J. Novel use of alternate (Alt) response (Rp) criteria (Cr) for early prediction of outcomes in pancreatic (P) neuroendocrine tumors (NETs): Utilizing banked imaging data from the ECOG-ACRIN E2211 study. Journal Of Clinical Oncology 2023, 41: 4133-4133. DOI: 10.1200/jco.2023.41.16_suppl.4133.Peer-Reviewed Original ResearchProgression-free survivalImproved progression-free survivalNeuroendocrine tumorsStable diseaseProgressive diseaseRadiomic featuresCT/MRI scansPancreatic neuroendocrine tumorsPortal venous phaseShort-term imagingSmaller threshold changesInter-reader agreementTumor sizeC-statisticFirst disease assessmentPotential adjunctTreatment decisionsVenous phasePD casesTime-varying outcomeMRI scansClinical practicePredictive valueTumor densityInter-reader variabilityCountry-level gender inequality is associated with structural differences in the brains of women and men
Zugman A, Alliende L, Medel V, Bethlehem R, Seidlitz J, Ringlein G, Arango C, Arnatkevičiūtė A, Asmal L, Bellgrove M, Benegal V, Bernardo M, Billeke P, Bosch-Bayard J, Bressan R, Busatto G, Castro M, Chaim-Avancini T, Compte A, Costanzi M, Czepielewski L, Dazzan P, de la Fuente-Sandoval C, Di Forti M, Díaz-Caneja C, Díaz-Zuluaga A, Du Plessis S, Duran F, Fittipaldi S, Fornito A, Freimer N, Gadelha A, Gama C, Garani R, Garcia-Rizo C, Campo C, Gonzalez-Valderrama A, Guinjoan S, Holla B, Ibañez A, Ivanovic D, Jackowski A, Leon-Ortiz P, Lochner C, López-Jaramillo C, Luckhoff H, Massuda R, McGuire P, Miyata J, Mizrahi R, Murray R, Ozerdem A, Pan P, Parellada M, Phahladira L, Ramirez-Mahaluf J, Reckziegel R, Marques T, Reyes-Madrigal F, Roos A, Rosa P, Salum G, Scheffler F, Schumann G, Serpa M, Stein D, Tepper A, Tiego J, Ueno T, Undurraga J, Undurraga E, Valdes-Sosa P, Valli I, Villarreal M, Winton-Brown T, Yalin N, Zamorano F, Zanetti M, cVEDA, Winkler A, Pine D, Evans-Lacko S, Crossley N, Murthy P, Chakrabarti A, Basu D, Subodh B, Singh L, Singh R, Kalyanram K, Kartik K, Kumaran K, Krishnaveni G, Kuriyan R, Kurpad S, Barker G, Bharath R, Desrivieres S, Purushottam M, Orfanos D, Sharma E, Hickman M, Heron J, Toledano M, Vaidya N. Country-level gender inequality is associated with structural differences in the brains of women and men. Proceedings Of The National Academy Of Sciences Of The United States Of America 2023, 120: e2218782120. PMID: 37155867, PMCID: PMC10193926, DOI: 10.1073/pnas.2218782120.Peer-Reviewed Original ResearchConceptsWorse outcomesCaudal anterior cingulateRight caudal anterior cingulateRight medial orbitofrontalAdult healthy menBrains of womenMental health problemsLateral occipital cortexHealthy menRegional cortexHigh riskOccipital cortexCortical thicknessCountry-level gender inequalityMedial orbitofrontalMRI scansThinner cortexAnterior cingulateHealth problemsBrain structuresWomen's brainsWomenBrainCortexRight hemisphere“It just makes sense to me”: Patient experiences with prostate MRI during prostate cancer active surveillance.
Sutherland R, Gross C, Ma X, Jeong F, Seibert T, Cooperberg M, Catalona W, Loeb S, Schulman-Green D, Leapman M. “It just makes sense to me”: Patient experiences with prostate MRI during prostate cancer active surveillance. Journal Of Clinical Oncology 2023, 41: 334-334. DOI: 10.1200/jco.2023.41.6_suppl.334.Peer-Reviewed Original ResearchActive surveillanceProstate cancerProstate MRIPatient experienceGleason Grade Group 1Prostate cancer active surveillanceIntermediate-risk prostate cancerRisk prostate cancerGrade group 1Group 2 tumorsMRI-ultrasound fusion biopsyMean sample ageHispanics/LatinosInitial diagnosisFusion biopsyProstate biopsyConventional content analysisPatient's perspectiveClinical careGroup 1MRI resultsMRI scansProviders' explanationsCancerPatientsAutomated and manual segmentation of the hippocampus in human infants
Fel J, Ellis C, Turk-Browne N. Automated and manual segmentation of the hippocampus in human infants. Developmental Cognitive Neuroscience 2023, 60: 101203. PMID: 36791555, PMCID: PMC9957787, DOI: 10.1016/j.dcn.2023.101203.Peer-Reviewed Original ResearchConceptsManual segmentationHippocampal segmentationInter-rater reliabilityAutomated SegmentationSegmentation methodSegmentationAnatomical MRI scansEarly hippocampal developmentHead motionFreeSurfer softwareSoftwareHippocampal developmentMRI scansHippocampal structureAwake infantsInfantsHippocampusFMRI protocolAnatomical scansGold standardAdult templateHuman infantsScan qualityScansProtocol
2022
Robust prediction of memory and neuroticism in men and women using connectome‐based predictive modeling
Ju S, Horien C, Constable T, Fredericks C. Robust prediction of memory and neuroticism in men and women using connectome‐based predictive modeling. Alzheimer's & Dementia 2022, 18 DOI: 10.1002/alz.063015.Peer-Reviewed Original ResearchConnectome-based predictive modelingAlzheimer's diseaseRAVLT measuresFunctional MRI scansBackground Alzheimer's diseaseHealthy womenNeurobehavioral scoresHealthy subjectsHigh riskMemory performanceMRI scansBrain circuitryBrain connectivityWomenMenSexBrain connectomeDiseasePearson correlationScoresPredictorsConnectivity matrixBrain-based predictorsBehavioral measuresSubjectsAccelerated cortical thinning precedes and predicts conversion to psychosis: The NAPLS3 longitudinal study of youth at clinical high-risk
Collins M, Ji J, Chung Y, Lympus C, Afriyie-Agyemang Y, Addington J, Goodyear B, Bearden C, Cadenhead K, Mirzakhanian H, Tsuang M, Cornblatt B, Carrión R, Keshavan M, Stone W, Mathalon D, Perkins D, Walker E, Woods S, Powers A, Anticevic A, Cannon T. Accelerated cortical thinning precedes and predicts conversion to psychosis: The NAPLS3 longitudinal study of youth at clinical high-risk. Molecular Psychiatry 2022, 28: 1182-1189. PMID: 36434057, PMCID: PMC10005940, DOI: 10.1038/s41380-022-01870-7.Peer-Reviewed Original ResearchConceptsCHR-NCPercent thickness changeCortical thinningPsychosis onsetHealth controlsProgressive grey matter lossNorth American Prodrome Longitudinal StudyClinical high-risk individualsGray matter lossHigh-risk individualsLongitudinal studyGreater percent decreaseNovel treatment targetsParietal cortical regionsTargeted early interventionsCortical thicknessCortical areasMRI scansCHR individualsTreatment targetsEarly interventionCortical regionsLeft hemisphere regionsROC analysisHC participantsAbnormal dynamic functional network connectivity in first-episode, drug-naïve patients with major depressive disorder
Yang W, Wang Y, Qin W, Li M, Mao H, Zhou C, Liu X, Li J. Abnormal dynamic functional network connectivity in first-episode, drug-naïve patients with major depressive disorder. Journal Of Affective Disorders 2022, 319: 336-343. PMID: 36084757, DOI: 10.1016/j.jad.2022.08.072.Peer-Reviewed Original ResearchConceptsHamilton Depression Rating ScaleFirst-episodeDrug-naive patientsFunctional network connectivityDynamic functional network connectivityFeatures of spontaneous brain activityDepression Rating ScaleFunctional brain networksSpontaneous brain activityGender-matched healthy controlsMDD patientsDepressive disorderReceiver operating characteristicDepressive symptomsMDDBrain networksBrain activityConnectivity statesRating ScaleReceiver operating characteristic curve analysisHealthy controlsNetwork connectivityMRI scansDiagnostic performanceCurve analysisConfirming a Historical Diagnosis of Multiple Sclerosis
Solomon AJ, Arrambide G, Brownlee W, Cross AH, Gaitan MI, Lublin FD, Makhani N, Mowry EM, Reich DS, Rovira À, Weinshenker BG, Cohen JA. Confirming a Historical Diagnosis of Multiple Sclerosis. Neurology Clinical Practice 2022, 12: 263-269. PMID: 35747540, PMCID: PMC9208427, DOI: 10.1212/cpj.0000000000001149.Peer-Reviewed Original ResearchMultiple sclerosisHistorical diagnosisSubsequent disease activityEvaluation of patientsTime of diagnosisDiagnosis of MSEarly MS diagnosisPrior clinical examinationDisease activityMcDonald criteriaNeurologic examinationTherapeutic challengeClinical progressionMS diagnosisMS attacksClinical examinationPatient recollectionTherapeutic decisionsDiagnostic confirmationMRI scansClinical practiceClinical approachPatientsDiagnosisSclerosis
2021
Anterior-posterior axis of hippocampal subfields across psychoses: A B-SNIP study
del Re E, Zeng V, Alliey-Rodriguez N, Lizano P, Bolo N, Lutz O, Pearlson G, Sweeney J, Clementz B, Gershon E, Tamminga C, Keshavan M. Anterior-posterior axis of hippocampal subfields across psychoses: A B-SNIP study. Biomarkers In Neuropsychiatry 2021, 5: 100037. DOI: 10.1016/j.bionps.2021.100037.Peer-Reviewed Original ResearchVolumetric abnormalitiesPsychosis probandsBipolar type 1Granule cell layerT MRI scansB-SNIP studyB-SNIPDentate gyrusBipolar-Schizophrenia NetworkHealthy controlsClinical dataHippocampal subfieldsDSM categoriesMRI scansSchizoaffective disorderHippocampusType 1Schizophrenia NetworkAbnormalitiesUnaffected relativesAnterior-posterior axisSchizophreniaPsychosisProbandsConclusions DifferencesRisk Factors and Time to Clinical Symptoms of Multiple Sclerosis Among Patients With Radiologically Isolated Syndrome
Lebrun-Frénay C, Rollot F, Mondot L, Zephir H, Louapre C, Le Page E, Durand-Dubief F, Labauge P, Bensa C, Thouvenot E, Laplaud D, de Seze J, Ciron J, Bourre B, Cabre P, Casez O, Ruet A, Mathey G, Berger E, Moreau T, Al Khedr A, Derache N, Clavelou P, Guennoc AM, Créange A, Neau JP, Tourbah A, Camdessanché JP, Maarouf A, Callier C, Vermersch P, Kantarci O, Siva A, Azevedo C, Makhani N, Cohen M, Pelletier D, Okuda D, Vukusic S, Kantarci O, Siva A, Pelletier D, Okuda D, Azevedo C, Makhani N, Radji F, Morel N, Grosset-Jeannin D, Ungureanu A, Boyer L, Suchet L, Elias Z, Lebrun-Frénay C, Cohen M, Mondot L, Thouvenot E, Ciron J, Durand-Dubief F, Brochet B, Ruet A, Ouallet J, Defer G, Branger P, Derache N, Clavelou P, Taithe F, Alkhedr A, Fromont A, Moreau T, Tourbah A, Casez O, Berger E, Zephir H, Outteryck O, Vermersch P, Hautecoeur P, Androdias G, Ionescu I, Pelletier J, Audoin B, Maarouf A, Ayrignac X, Carra-Dalliere C, Labauge P, Debouverie M, Mathey G, Cabre P, Laplaud D, Wiertlevski S, Bresch S, Castelnovo G, Papeix C, Louapre C, Maillart E, Lubetzki C, Stankoff B, Fontaine B, Giannesini C, Heinzleff O, Créange A, Bourre B, Gout O, Guegen A, Bensa C, Le Page E, Michel L, Magy L, De Seze J, Collongues N, Leray E, Guennoc A, Biotti D, Camdessanché J, De Broucker T, Sehaki S, Devys-Meyer N, Bereau M, Cappe C, Kounkou K, Dumont E, Lescieux E, Protin A, Kane M, Boucher J, Petit J, Tabellah Kasonde I, De Vilmarrest A, Nicol M, Malbezin M, Olaiz J, Rigaud-Bully C, Casey R, Rollot F, Vukusic I, Debard N, Cotton F, Abdelalli A, Di Lelio B, Pinna F, Guillemin F, Ziegler A, Callier C, Zehrouni K, Hodel J, Wahab A, Zedet M, Fagniez O, Laage C, Pottier C, Slesari I, Sampaio M, Neau J, Rabois E, Castex C, Hebant B, Guillaume M, Vimont C, Muraz R, Le Port D, Henry C, Berthe C, Freitas N, Visneux V, Forestier M, Beltran S, Meunier G, Servan J, Pico F, Chatagner V. Risk Factors and Time to Clinical Symptoms of Multiple Sclerosis Among Patients With Radiologically Isolated Syndrome. JAMA Network Open 2021, 4: e2128271. PMID: 34633424, PMCID: PMC8506228, DOI: 10.1001/jamanetworkopen.2021.28271.Peer-Reviewed Original ResearchConceptsGadolinium-enhancing lesionsSpinal cord lesionsClinical eventsMultiple sclerosisRisk of conversionCord lesionsRisk factorsMRI scansPhase III clinical trialsMagnetic resonance imaging (MRI) scansEarly clinical diseaseFirst clinical eventDisease-modifying therapiesEarly clinical eventsSpinal cord involvementAge 37 yearsResonance imaging scansPotential treatment effectsMS careCohort studyCord involvementStudy entryTertiary centerClinical symptomsOligoclonal bandsConventional Hepatic Volumetry May Lead to Inaccurate Segmental Yttrium-90 Radiation Dosimetry
Stein SI, Soliman MM, Sparapani J, Doustaly R, Cobb BW, Malhotra A, Charalel R, May BJ, Lee KS, Madoff DC, Talenfeld AD. Conventional Hepatic Volumetry May Lead to Inaccurate Segmental Yttrium-90 Radiation Dosimetry. CardioVascular And Interventional Radiology 2021, 44: 1973-1985. PMID: 34414494, DOI: 10.1007/s00270-021-02898-y.Peer-Reviewed Original ResearchConceptsMedical Internal Radiation DosimetryCone-beam CTCT/MRI scansSegmental volumesVariant arterial anatomyCT/MRIWilcoxon signed-rank testY90 radioembolizationZone volumeArterial anatomyVenous anatomyTumor locationSigned-rank testInternal radiation dosimetryHepatic volumetryMRI scansLobar volumesVolumetric differencesCouinaudDose targetsPersonalized dosimetryBeam CTAngiogramsDosesVolumetryRelationship Between Patellar Morphology and Known Anatomic Risk Factors for Patellofemoral Instability
Jimenez AE, Levy BJ, Grimm NL, Andelman SM, Cheng C, Hedgecock JP, Cohen A, Pace JL. Relationship Between Patellar Morphology and Known Anatomic Risk Factors for Patellofemoral Instability. Orthopaedic Journal Of Sports Medicine 2021, 9: 2325967120988690. PMID: 33748306, PMCID: PMC7940750, DOI: 10.1177/2325967120988690.Peer-Reviewed Original ResearchPatellar instabilityPatellar morphologyAnterior cruciate ligament tearsMagnetic resonance imaging (MRI) scansAnatomic risk factorsCruciate ligament tearsYoung adult patientsResonance imaging scansCross-sectional studyLevel of evidenceRegression analysisAxial MRI scansStudy patientsAdult patientsControl patientsLigament tearsRisk factorsImaging scansTrochlear dysplasiaRadiologic measurementsMRI scansPatellofemoral instabilityControl groupPatientsSignificant associationFunctional Network Development in Sagittal Craniosynostosis Treated With Whole Vault Cranioplasty
Cabrejo R, Lacadie C, Sun A, Chuang C, Yang J, Brooks E, Beckett J, Eilbott J, Gabrick K, Steinbacher D, Duncan C, DiLuna M, Alperovich M, Pelphrey K, Ventola P, Constable T, Persing JA. Functional Network Development in Sagittal Craniosynostosis Treated With Whole Vault Cranioplasty. Journal Of Craniofacial Surgery 2021, 32: 1721-1726. PMID: 33534301, DOI: 10.1097/scs.0000000000007505.Peer-Reviewed Original ResearchConceptsWhole-vault cranioplastySagittal craniosynostosisFunctional MRICase-control study designFunctional MRI scansControl study designAbnormal network connectionsFunctional network developmentNeurological changesIndividual patientsMRI scansFunctional brain networksCerebral networksFunctional connectivityVisual networkConnectivity changesPatientsStudy designSurgeryAdolescent controlsBrain networksCraniosynostosisWVC groupInfantsExecutive function
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