2016
Chapter 5 New horizons in neurometabolic and neurovascular coupling from calibrated fMRI
Shu CY, Sanganahalli BG, Coman D, Herman P, Hyder F. Chapter 5 New horizons in neurometabolic and neurovascular coupling from calibrated fMRI. Progress In Brain Research 2016, 225: 99-122. PMID: 27130413, DOI: 10.1016/bs.pbr.2016.02.003.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsBrainBrain MappingHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingNeurotransmitter AgentsNeurovascular CouplingOxygenConceptsNeurovascular couplingFunctional MRINeuronal activityBlood oxygenation level-dependent (BOLD) signalFunctional brain activationLevel-dependent signalNeurometabolic couplingEffective therapyBlood flowNeuroimaging toolsHealth conditionsPowerful neuroimaging toolBrain activationBOLD signalNeural activityBOLD contrastMetabolic demandsOxygen consumptionDependent signalsTherapyMicrovesselsMRIActivityBiomarkers
2014
Imaging the delivery of brain-penetrating PLGA nanoparticles in the brain using magnetic resonance
Strohbehn G, Coman D, Han L, Ragheb RR, Fahmy TM, Huttner AJ, Hyder F, Piepmeier JM, Saltzman WM, Zhou J. Imaging the delivery of brain-penetrating PLGA nanoparticles in the brain using magnetic resonance. Journal Of Neuro-Oncology 2014, 121: 441-449. PMID: 25403507, PMCID: PMC4323763, DOI: 10.1007/s11060-014-1658-0.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsAntineoplastic AgentsBrain NeoplasmsConvectionDrug Delivery SystemsFerric CompoundsGlioblastomaHumansImage Processing, Computer-AssistedLactic AcidMagnetic Resonance ImagingNanoparticlesNeuroimagingPolyglycolic AcidPolylactic Acid-Polyglycolic Acid CopolymerRatsRats, Sprague-DawleyConceptsBrain-penetrating nanoparticlesSuperparamagnetic iron oxideEfficient deliveryDrug-loaded nanoparticlesDistribution of nanoparticlesTransverse relaxivityPLGA nanoparticlesNanoparticlesConvection-enhanced deliveryDelivery platformFuture clinical applicationsUniversal tumor recurrenceClinical translationSignal attenuationDetection modalitiesIron oxideSame morphologyParticle distributionDeliveryGroundbreaking approachClinical applicationRelevant volumesRelaxivityTreatment of GBMOxideDiffusion Tensor Imaging as a Predictor of Locomotor Function after Experimental Spinal Cord Injury and Recovery
Kelley BJ, Harel NY, Kim CY, Papademetris X, Coman D, Wang X, Hasan O, Kaufman A, Globinsky R, Staib LH, Cafferty WB, Hyder F, Strittmatter SM. Diffusion Tensor Imaging as a Predictor of Locomotor Function after Experimental Spinal Cord Injury and Recovery. Journal Of Neurotrauma 2014, 31: 1362-1373. PMID: 24779685, PMCID: PMC4120934, DOI: 10.1089/neu.2013.3238.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsDiffusion Tensor ImagingDisease Models, AnimalFemaleImage Processing, Computer-AssistedImmunohistochemistryMotor ActivityPrognosisRatsRats, Sprague-DawleyRecovery of FunctionSpinal Cord InjuriesConceptsSpinal cord injuryDiffusion tensor imagingCord injuryAxonal integrityLocomotor functionExperimental spinal cord injuryTraumatic spinal cord injuryFemale Sprague-Dawley ratsTensor imagingFractional anisotropyFunctional recovery assessmentSpinal cord contusionLimited functional recoveryLong-term disabilityQuantitative diffusion tensor imagingRodent SCI modelsSprague-Dawley ratsSpinal cord morphologyWhite matter pathologyCaudal spinal cordWhite matter integrityInjury epicenterMidthoracic laminectomyCord contusionPrimary outcome