2024
12241 Association Between Brain Glucose And Circulating Glucagon Levels In Response To Acute Hyperglycemia
Matson B, Gunawan F, Coppoli A, Jiang L, Rangel E, De Aguiar R, Rothman D, Mason G, Hwang J. 12241 Association Between Brain Glucose And Circulating Glucagon Levels In Response To Acute Hyperglycemia. Journal Of The Endocrine Society 2024, 8: bvae163.674. PMCID: PMC11454728, DOI: 10.1210/jendso/bvae163.674.Peer-Reviewed Original ResearchCentral nervous systemBrain glucose levelsPlasma glucagon levelsHyperglycemic clampType 2 diabetesGlucagon levelsGlucagon secretionGlucose levelsResponse to hyperglycemiaAcute hyperglycemiaOral glucose tolerance testBrain glucose metabolismResponse to central nervous systemPathophysiology of type 2 diabetesResponse to hypoglycemiaBrain glucoseIndices of insulin sensitivityEffect of obesityRegulation of glucagon secretionGlucose tolerance testConsequences of obesityModulating glucagon secretionOvert metabolic abnormalitiesBrain glucose uptakeCirculating glucagon levelsMedial prefrontal cortex neurotransmitter abnormalities in posttraumatic stress disorder with and without comorbidity to major depression
Swanberg K, Prinsen H, Averill C, Campos L, Kurada A, Krystal J, Petrakis I, Averill L, Rothman D, Abdallah C, Juchem C. Medial prefrontal cortex neurotransmitter abnormalities in posttraumatic stress disorder with and without comorbidity to major depression. NMR In Biomedicine 2024, 37: e5220. PMID: 39054694, DOI: 10.1002/nbm.5220.Peer-Reviewed Original ResearchPosttraumatic stress disorderMedial prefrontal cortexStress disorderPosttraumatic stress disorder patientsPosttraumatic stress disorder diagnosisChronic psychiatric conditionImpact of psychiatric comorbiditiesComorbid MDDPrefrontal cortexDepressive disorderTraumatic stressorsPsychiatric conditionsMDDPsychiatric comorbiditiesNeurotransmitter abnormalitiesConcentrations of glutamateMetabolite abnormalitiesHealthy controlsDisordersPattern of abnormalitiesParticipantsGlutamateIn vivo protonMetabolic abnormalitiesDepressionDeficits in brain glucose transport among younger adults with obesity
Gunawan F, Matson B, Coppoli A, Jiang L, Ding Y, Perry R, Sanchez‐Rangel E, DeAguiar R, Behar K, Rothman D, Mason G, Hwang J. Deficits in brain glucose transport among younger adults with obesity. Obesity 2024, 32: 1329-1338. PMID: 38764181, DOI: 10.1002/oby.24034.Peer-Reviewed Original ResearchBrain glucose transportLean participantsMarkers of insulin resistanceMagnetic resonance spectroscopy scansEffect of obesityAssociated with alterationsLong-term brain functionCerebral glucose metabolic rateGlucose transportGlucose metabolic rateCardiometabolic comorbiditiesBrain energy utilizationPeripheral markersHyperglycemic clampInsulin resistanceObesityBrain glucose uptakeHuman findingsEating behaviorsYounger ageYoung healthy participantsNeurocognitive functionGlucose transport capacityBrain functionNonesterified fatty acidsIn 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 predictionsSubjectsBrain energy metabolism: A roadmap for future research
Rae C, Baur J, Borges K, Dienel G, Díaz‐García C, Douglass S, Drew K, Duarte J, Duran J, Kann O, Kristian T, Lee‐Liu D, Lindquist B, McNay E, Robinson M, Rothman D, Rowlands B, Ryan T, Scafidi J, Scafidi S, Shuttleworth C, Swanson R, Uruk G, Vardjan N, Zorec R, McKenna M. Brain energy metabolism: A roadmap for future research. Journal Of Neurochemistry 2024, 168: 910-954. PMID: 38183680, PMCID: PMC11102343, DOI: 10.1111/jnc.16032.Peer-Reviewed Original Research
2023
Imaging metabolism of deuterated glucose in patients with primary brain tumors
Corbin Z, Liu Y, Fulbright R, Thaw-Poon S, Baehring J, Blondin N, Kim P, Omuro A, Chiang V, Moliterno J, Omay S, Piepmeier J, Rothman D, de Graaf R, De Feyter H. Imaging metabolism of deuterated glucose in patients with primary brain tumors. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2023 DOI: 10.58530/2023/0142.Peer-Reviewed Original Research
2022
A 3D atlas of functional human brain energetic connectome based on neuropil distribution
Yu Y, Akif A, Herman P, Cao M, Rothman D, Carson R, Agarwal D, Evans A, Hyder F. A 3D atlas of functional human brain energetic connectome based on neuropil distribution. Cerebral Cortex 2022, 33: 3996-4012. PMID: 36104858, PMCID: PMC10068297, DOI: 10.1093/cercor/bhac322.Peer-Reviewed Original ResearchConceptsSynaptic densityCortical regionsHigher synapse densityHuman cortical circuitsFunctional imaging studiesCortical activity mapsVivo PET imagingNeuropil distributionGlucose oxidationSynapse densityCortical circuitsMetabolic rateSynaptic connectionsCortical energeticsImaging studiesHuman cortexPET imagingHistological stainingRecent evidenceCortexHuman brainBrainVoxel levelActivity ratesAtlasMechanistic stoichiometric relationship between the rates of neurotransmission and neuronal glucose oxidation: Reevaluation of and alternatives to the pseudo‐malate‐aspartate shuttle model
Rothman D, Behar K, Dienel G. Mechanistic stoichiometric relationship between the rates of neurotransmission and neuronal glucose oxidation: Reevaluation of and alternatives to the pseudo‐malate‐aspartate shuttle model. Journal Of Neurochemistry 2022, 168: 555-591. PMID: 36089566, DOI: 10.1111/jnc.15619.Peer-Reviewed Original ResearchMitochondrial carriersSubcellular compartmentationCultured glutamatergic neuronsMechanistic basisMajor knowledge gapsMechanistic stoichiometryExtracellular GlnGlycolytic metabolismNeuronal compartmentsPre-synaptic structuresGlucose oxidationShuttle modelAlternative mechanismStoichiometric relationshipGlnDiseased brainNeuronal glucose metabolismMetabolismGluAminobutyric acidGlutamatergic neuronsKnowledge gapsCyclingMitochondriaCompartmentation232-OR: Alterations in Decision-Making Neurocircuits during Hypoglycemia in Patients with T1DM
DEAJON-JACKSON J, RANGEL E, LACADIE C, GREENE A, BELFORT-DEAGUIAR R, CONSTABLE T, ROTHMAN D, HWANG J. 232-OR: Alterations in Decision-Making Neurocircuits during Hypoglycemia in Patients with T1DM. Diabetes 2022, 71 DOI: 10.2337/db22-232-or.Peer-Reviewed Original ResearchDorsal anterior cingulate cortexGroup x Session interactionFunctional connectivityOrbitofrontal cortexControl subjectsNon-diabetic control subjectsHealthy control subjectsState functional connectivityDirect neuronal connectionsRegional brain activityAnterior cingulate cortexSeed-based analysisBOLD-fMRI scanningHyperinsulinemic euglycemicHypoglycemic clampT1DM patientsSession interactionT1DM subjectsGlucose levelsT1DMHypoglycemiaNeurocognitive changesNeuronal connectionsCingulate cortexCognitive function
2021
Methods | 13C MRS Measurements of in Vivo Rates of the Glutamate/Glutamine and GABA/Glutamine Neurotransmitter Cycles
Rothman D, De Feyter H, Mason G, de Graaf R, Hyder F, Behar K. Methods | 13C MRS Measurements of in Vivo Rates of the Glutamate/Glutamine and GABA/Glutamine Neurotransmitter Cycles. 2021, 688-700. DOI: 10.1016/b978-0-12-819460-7.00341-8.Chapters
2020
1772-P: Reversibility of Altered Brain Glucose Kinetics in T2DM
RANGEL E, GUNAWAN F, JIANG L, SAVOYE M, DAI F, ROTHMAN D, MASON G, HWANG J. 1772-P: Reversibility of Altered Brain Glucose Kinetics in T2DM. Diabetes 2020, 69 DOI: 10.2337/db20-1772-p.Peer-Reviewed Original ResearchBrain glucose levelsPoor glycemic controlGlycemic controlGlucose levelsCentral nervous system complicationsNervous system complicationsBrain glucose transportPlasma glucose levelsContinuous glucose monitoringUncontrolled T2DMT2DM subjectsSystem complicationsBMI changeHyperglycemic clampHealthy controlsDiabetes regimenPost interventionHierarchical linear regression modelsGlucose time coursesMagnetic resonance spectroscopyHbA1cGlucose kineticsGlucose monitoringNational InstituteT2DM
2017
662 Ketamine and Rapastinel Effects on Glutamate Cycling
Sanacora G, Chowdhury G, Rothman D, Behar K. 662 Ketamine and Rapastinel Effects on Glutamate Cycling. Biological Psychiatry 2017, 81: s268. DOI: 10.1016/j.biopsych.2017.02.1071.Peer-Reviewed Original Research
2016
Spectral Editing
de Graaf R, Rothman D. Spectral Editing. 2016, 1147-1156. DOI: 10.1002/9780470034590.emrstm1456.Peer-Reviewed Original Research
2015
Superconductor Analog-to-Digital Converter for High-Resolution Magnetic Resonance Imaging
Radparvar M, Talalaevskii A, Webber R, Kadin A, Track E, de Graaf R, Nixon T, Rothman D. Superconductor Analog-to-Digital Converter for High-Resolution Magnetic Resonance Imaging. IEEE Transactions On Applied Superconductivity 2015, 25: 1-5. DOI: 10.1109/tasc.2014.2361132.Peer-Reviewed Original ResearchSuperconductor ADCHigh power RF transmittersDigital converterHigh dynamic rangeDynamic rangeIntermediate frequency signalSensitive radio receiversMagnetic fieldLow-noise preamplifierK cryocoolerPickup coilRF magnetic fieldFrequency signalsAnalog mixersSuperconductor analogRadio receiverRF transmitterHigh image resolutionSuperior dynamic rangeLarge dynamic rangeLarge static fieldMRI roomConverterBiological tissuesThermal noise
2014
Glutamatergic Function in the Resting Awake Human Brain is Supported by Uniformly High Oxidative Energy
Hyder F, Fulbright R, Shulman R, Rothman D. Glutamatergic Function in the Resting Awake Human Brain is Supported by Uniformly High Oxidative Energy. Cerebrovascular And Brain Metabolism Reviews 2014, 34: 368-368. PMCID: PMC3915214, DOI: 10.1038/jcbfm.2013.205.Peer-Reviewed Original ResearchChapter 1.1 Basis of Magnetic Resonance
Juchem C, Rothman D. Chapter 1.1 Basis of Magnetic Resonance. 2014, 3-14. DOI: 10.1016/b978-0-12-401688-0.00001-x.Peer-Reviewed Original ResearchChapter 4.2 Carbon (13C) MRS
Rothman D, De Feyter H. Chapter 4.2 Carbon (13C) MRS. 2014, 312-330. DOI: 10.1016/b978-0-12-401688-0.00023-9.ChaptersNeurotransmitter cyclingHigh neuronal activityHuman brain diseasesOnly noninvasive methodBrain metabolismGlutamate neurotransmissionNeuronal activityMRS studiesPsychiatric diseasesNeuronal functionBrain diseasesBrain functionClinical researchNeuroenergeticsNoninvasive methodDiseaseMRSMRS measurementsHuman researchBrain statesRecent findingsImportant new informationHumansMetabolic pathwaysNeurotransmission
2013
Metabolomic Profiling of Children’s Brains Undergoing General Anesthesia With Sevoflurane and Propofol
Jacob Z, Li H, Makaryus R, Zhang S, Reinsel R, Lee H, Feng T, Rothman D, Benveniste H. Metabolomic Profiling of Children’s Brains Undergoing General Anesthesia With Sevoflurane and Propofol. Survey Of Anesthesiology 2013, 57: 139. DOI: 10.1097/01.sa.0000428779.04189.52.Peer-Reviewed Original ResearchCMR02 Mapping by Calibrated fMRI
Hyder F, Shu C, Herman P, Sanganahalli B, Coman D, Rothman D. CMR02 Mapping by Calibrated fMRI. Series In Medical Physics And Biomedical Engineering 2013, 20130539: 85-109. DOI: 10.1201/b14814-5.Peer-Reviewed Original Research
2010
Les coils d’angiographie en résonnance magnétique implantés chirurgicalement améliorent la résolution et permettent la visualisation dynamique du flux sanguin
Fitzgerald T, Muto A, Fancher T, Brown P, Martin K, Muhs B, Rothman D, Constable R, Sampath S, Dardik A. Les coils d’angiographie en résonnance magnétique implantés chirurgicalement améliorent la résolution et permettent la visualisation dynamique du flux sanguin. Annales De Chirurgie Vasculaire 2010, 24: 266-277. DOI: 10.1016/j.acvfr.2010.09.010.Peer-Reviewed Original Research