Peter Herman, MD, PhD
Research Scientist in Radiology and Biomedical ImagingDownloadHi-Res Photo
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Radiology & Biomedical Imaging
PO Box 208043, TAC
New Haven, CT 06520-8043
United States
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Research Scientist in Radiology and Biomedical Imaging
Biography
Last Updated on April 07, 2025.
Appointments
Radiology & Biomedical Imaging
Research ScientistPrimary
Other Departments & Organizations
- Bioimaging Sciences
- Brain Energy Atlas Project
- Magnetic Resonance Research Center
- Magnetic Resonance Spectroscopy
- Radiology & Biomedical Imaging
- Yale Biomedical Imaging Institute
Education & Training
- Post doctoral fellow
- Yale University (2004)
- PhD
- Semmelweis University (2002)
- MD
- Semmelweis University (1994)
Research
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Overview
Medical Research Interests
Cerebrovascular Circulation; Fractals; Hematocrit; Membrane Potentials; Oxygen Consumption
ORCID
0000-0003-2218-9652
Research at a Glance
Yale Co-Authors
Frequent collaborators of Peter Herman's published research.
Publications Timeline
A big-picture view of Peter Herman's research output by year.
Research Interests
Research topics Peter Herman is interested in exploring.
D. S. Fahmeed Hyder, PhD
Basavaraju G. Sanganahalli, PhD
Andras Eke, MD, PhD
Daniel Coman, PhD
Francesca Mandino
Hal Blumenfeld, MD, PhD
46Publications
2,463Citations
Cerebrovascular Circulation
Fractals
Oxygen Consumption
Membrane Potentials
Publications
2026
Behavioral deficits and exacerbated neural and hemodynamic odor responses during lifespan of a mouse model of late onset Alzheimer’s disease expressing humanized APOEε4 and Trem2*R47H
Izydorczak M, Oumov M, Udhwani M, Fostok F, Coronas-Samano G, Sanganahalli B, Herman P, Hyder F, Verhagen J. Behavioral deficits and exacerbated neural and hemodynamic odor responses during lifespan of a mouse model of late onset Alzheimer’s disease expressing humanized APOEε4 and Trem2*R47H. Frontiers In Aging Neuroscience 2026, 18: 1622135. PMID: 41777674, PMCID: PMC12950773, DOI: 10.3389/fnagi.2026.1622135.Peer-Reviewed Original ResearchThis study investigates age-related behavioral and brain activity changes in a mouse model of late-onset Alzheimer's disease, showing anxiety, memory deficits, and vascular hyperresponsiveness linked to genetic risk factors APOEε4 and Trem2*R47H.High-resolution thermal imaging to delineate effects of cancer-induced aerobic glycolysis and endothelial dysfunction
Coman D, Herman P, Rao J, Mihailovic J, Huang Y, Kaneko G, Hyder F. High-resolution thermal imaging to delineate effects of cancer-induced aerobic glycolysis and endothelial dysfunction. Neuro-Oncology Advances 2026, 8: vdag007. DOI: 10.1093/noajnl/vdag007.Peer-Reviewed Original ResearchConceptsTumor microenvironmentEndothelial dysfunctionBackground Glioblastoma multiformeGlioblastoma multiformeAerobic glycolysisLeaky blood vesselsCancer cell growthAggressive brain tumorAbysmal prognosisTreated ratsTherapy optimizationTumor invasionRat gliomaImmune responseBrain tumorsVascular sourceExtracellular pHTumorBlood vesselsGlucose oxidationDysfunctionRatsPerfusionCell growthIn vivo measurements
2025
Fundamentals of Gas‐Free Calibrated fMRI for Oxidative Metabolic Neuroimaging
Hyder F, Herman P. Fundamentals of Gas‐Free Calibrated fMRI for Oxidative Metabolic Neuroimaging. Journal Of Neurochemistry 2025, 169: e70217. PMID: 41044817, DOI: 10.1111/jnc.70217.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsAltmetricMeSH Keywords and ConceptsConceptsBlood oxygen level-dependentBlood oxygenation level-dependent contrastCalibrated fMRIParamagnetic fieldTissue water protonsBlood oxygen level-dependent signalOxygen level-dependentNeural activityGas-freeFunctional MRIWater protonsCouplingLevel-dependentDilution modelAbundant productionNeurometabolic couplingGas-basedProtonMapping of neurovascular and neurometabolic couplings by multimodal optical imaging
Herman P, Sanggaard S, James S, Akif A, Mishra S, Sanganahalli B, Verhagen J, Blumenfeld H, Hyder F. Mapping of neurovascular and neurometabolic couplings by multimodal optical imaging. Cerebral Cortex 2025, 35: bhaf165. PMID: 40624899, PMCID: PMC13070531, DOI: 10.1093/cercor/bhaf165.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsConceptsCerebral blood volumeNeuronal activityNeurometabolic couplingAlterations of neuronal activityNeurovascular couplingImaging of metabolic activityCerebral blood volume changesBolus injectionGlucose uptakeMultimodal optical imagingBlood volumeCalcium indicatorNear-infrared spectroscopyOptical imagingSimultaneous imagingBlood volume changesNear-infrared spectroscopy recordingsTraumatic brain injuryBrain injuryMultiplexed optical imagingGlucose analogMetabolic activityGECIsOptical systemCa2Multimodal imaging reveals gliomas are cooler than normal tissue
Coman D, Herman P, Rao J, Mihailovic J, Huang Y, Kaneko G, Hyder F. Multimodal imaging reveals gliomas are cooler than normal tissue. Proceedings Of The International Society For Magnetic Resonance In Medicine ... Scientific Meeting And Exhibition. 2025 DOI: 10.58530/2025/1939.Peer-Reviewed Original Research
2024
In 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 ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsMagnetic 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 predictionsSubjectsMultimodal 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 ResearchCitationsAltmetric
2023
Spatiotemporal features of neurovascular (un)coupling with stimulus-induced activity and hypercapnia challenge in cerebral cortex and olfactory bulb
James S, Sanggaard S, Akif A, Mishra S, Sanganahalli B, Blumenfeld H, Verhagen J, Hyder F, Herman P. Spatiotemporal features of neurovascular (un)coupling with stimulus-induced activity and hypercapnia challenge in cerebral cortex and olfactory bulb. Journal Of Cerebral Blood Flow And Metabolism : Official Journal Of The International Society Of Cerebral Blood Flow And Metabolism 2023, 43: 1891-1904. PMID: 37340791, PMCID: PMC10676132, DOI: 10.1177/0271678x231183887.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsVasodilatory responseCerebral cortexNeurovascular couplingOlfactory bulbNeuronal activityBrief sensory stimuliRegional neurovascular couplingStimulus-induced activityHypercapnia challengeVascular toneNeuronal deactivationHemodynamic responseNeuronal excitabilityNeuronal responsesCalcium transientsBrain functionHemodynamic signalsSensory stimuliVasodilationHypercapniaCortexMiceCareful appraisalStimuliMetabolic wasteAuthor Correction: A consensus protocol for functional connectivity analysis in the rat brain
Grandjean J, Desrosiers-Gregoire G, Anckaerts C, Angeles-Valdez D, Ayad F, Barrière D, Blockx I, Bortel A, Broadwater M, Cardoso B, Célestine M, Chavez-Negrete J, Choi S, Christiaen E, Clavijo P, Colon-Perez L, Cramer S, Daniele T, Dempsey E, Diao Y, Doelemeyer A, Dopfel D, Dvořáková L, Falfán-Melgoza C, Fernandes F, Fowler C, Fuentes-Ibañez A, Garin C, Gelderman E, Golden C, Guo C, Henckens M, Hennessy L, Herman P, Hofwijks N, Horien C, Ionescu T, Jones J, Kaesser J, Kim E, Lambers H, Lazari A, Lee S, Lillywhite A, Liu Y, Liu Y, López -Castro A, López-Gil X, Ma Z, MacNicol E, Madularu D, Mandino F, Marciano S, McAuslan M, McCunn P, McIntosh A, Meng X, Meyer-Baese L, Missault S, Moro F, Naessens D, Nava-Gomez L, Nonaka H, Ortiz J, Paasonen J, Peeters L, Pereira M, Perez P, Pompilus M, Prior M, Rakhmatullin R, Reimann H, Reinwald J, Del Rio R, Rivera-Olvera A, Ruiz-Pérez D, Russo G, Rutten T, Ryoke R, Sack M, Salvan P, Sanganahalli B, Schroeter A, Seewoo B, Selingue E, Seuwen A, Shi B, Sirmpilatze N, Smith J, Smith C, Sobczak F, Stenroos P, Straathof M, Strobelt S, Sumiyoshi A, Takahashi K, Torres-García M, Tudela R, van den Berg M, van der Marel K, van Hout A, Vertullo R, Vidal B, Vrooman R, Wang V, Wank I, Watson D, Yin T, Zhang Y, Zurbruegg S, Achard S, Alcauter S, Auer D, Barbier E, Baudewig J, Beckmann C, Beckmann N, Becq G, Blezer E, Bolbos R, Boretius S, Bouvard S, Budinger E, Buxbaum J, Cash D, Chapman V, Chuang K, Ciobanu L, Coolen B, Dalley J, Dhenain M, Dijkhuizen R, Esteban O, Faber C, Febo M, Feindel K, Forloni G, Fouquet J, Garza-Villarreal E, Gass N, Glennon J, Gozzi A, Gröhn O, Harkin A, Heerschap A, Helluy X, Herfert K, Heuser A, Homberg J, Houwing D, Hyder F, Ielacqua G, Jelescu I, Johansen-Berg H, Kaneko G, Kawashima R, Keilholz S, Keliris G, Kelly C, Kerskens C, Khokhar J, Kind P, Langlois J, Lerch J, López-Hidalgo M, Manahan-Vaughan D, Marchand F, Mars R, Marsella G, Micotti E, Muñoz-Moreno E, Near J, Niendorf T, Otte W, Pais-Roldán P, Pan W, Prado-Alcalá R, Quirarte G, Rodger J, Rosenow T, Sampaio-Baptista C, Sartorius A, Sawiak S, Scheenen T, Shemesh N, Shih Y, Shmuel A, Soria G, Stoop R, Thompson G, Till S, Todd N, Van Der Linden A, van der Toorn A, van Tilborg G, Vanhove C, Veltien A, Verhoye M, Wachsmuth L, Weber-Fahr W, Wenk P, Yu X, Zerbi V, Zhang N, Zhang B, Zimmer L, Devenyi G, Chakravarty M, Hess A. Author Correction: A consensus protocol for functional connectivity analysis in the rat brain. Nature Neuroscience 2023, 26: 1127-1128. PMID: 37072562, DOI: 10.1038/s41593-023-01328-1.Commentaries, Editorials and LettersCitationsAltmetricA consensus protocol for functional connectivity analysis in the rat brain
Grandjean J, Desrosiers-Gregoire G, Anckaerts C, Angeles-Valdez D, Ayad F, Barrière D, Blockx I, Bortel A, Broadwater M, Cardoso B, Célestine M, Chavez-Negrete J, Choi S, Christiaen E, Clavijo P, Colon-Perez L, Cramer S, Daniele T, Dempsey E, Diao Y, Doelemeyer A, Dopfel D, Dvořáková L, Falfán-Melgoza C, Fernandes F, Fowler C, Fuentes-Ibañez A, Garin C, Gelderman E, Golden C, Guo C, Henckens M, Hennessy L, Herman P, Hofwijks N, Horien C, Ionescu T, Jones J, Kaesser J, Kim E, Lambers H, Lazari A, Lee S, Lillywhite A, Liu Y, Liu Y, López -Castro A, López-Gil X, Ma Z, MacNicol E, Madularu D, Mandino F, Marciano S, McAuslan M, McCunn P, McIntosh A, Meng X, Meyer-Baese L, Missault S, Moro F, Naessens D, Nava-Gomez L, Nonaka H, Ortiz J, Paasonen J, Peeters L, Pereira M, Perez P, Pompilus M, Prior M, Rakhmatullin R, Reimann H, Reinwald J, Del Rio R, Rivera-Olvera A, Ruiz-Pérez D, Russo G, Rutten T, Ryoke R, Sack M, Salvan P, Sanganahalli B, Schroeter A, Seewoo B, Selingue E, Seuwen A, Shi B, Sirmpilatze N, Smith J, Smith C, Sobczak F, Stenroos P, Straathof M, Strobelt S, Sumiyoshi A, Takahashi K, Torres-García M, Tudela R, van den Berg M, van der Marel K, van Hout A, Vertullo R, Vidal B, Vrooman R, Wang V, Wank I, Watson D, Yin T, Zhang Y, Zurbruegg S, Achard S, Alcauter S, Auer D, Barbier E, Baudewig J, Beckmann C, Beckmann N, Becq G, Blezer E, Bolbos R, Boretius S, Bouvard S, Budinger E, Buxbaum J, Cash D, Chapman V, Chuang K, Ciobanu L, Coolen B, Dalley J, Dhenain M, Dijkhuizen R, Esteban O, Faber C, Febo M, Feindel K, Forloni G, Fouquet J, Garza-Villarreal E, Gass N, Glennon J, Gozzi A, Gröhn O, Harkin A, Heerschap A, Helluy X, Herfert K, Heuser A, Homberg J, Houwing D, Hyder F, Ielacqua G, Jelescu I, Johansen-Berg H, Kaneko G, Kawashima R, Keilholz S, Keliris G, Kelly C, Kerskens C, Khokhar J, Kind P, Langlois J, Lerch J, López-Hidalgo M, Manahan-Vaughan D, Marchand F, Mars R, Marsella G, Micotti E, Muñoz-Moreno E, Near J, Niendorf T, Otte W, Pais-Roldán P, Pan W, Prado-Alcalá R, Quirarte G, Rodger J, Rosenow T, Sampaio-Baptista C, Sartorius A, Sawiak S, Scheenen T, Shemesh N, Shih Y, Shmuel A, Soria G, Stoop R, Thompson G, Till S, Todd N, Van Der Linden A, van der Toorn A, van Tilborg G, Vanhove C, Veltien A, Verhoye M, Wachsmuth L, Weber-Fahr W, Wenk P, Yu X, Zerbi V, Zhang N, Zhang B, Zimmer L, Devenyi G, Chakravarty M, Hess A. A consensus protocol for functional connectivity analysis in the rat brain. Nature Neuroscience 2023, 26: 673-681. PMID: 36973511, PMCID: PMC10493189, DOI: 10.1038/s41593-023-01286-8.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and Concepts
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Radiology & Biomedical Imaging
PO Box 208043, TAC
New Haven, CT 06520-8043
United States
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The Anlyan Center
Academic Office
300 Cedar Street, Wing North Wing, Fl First floor, Rm N140
New Haven, CT 06519
Appointments
203.785.7563