2022
EEG–fMRI in Animal Models
Gummadavelli A, Sanganahalli B, Herman P, Hyder F, Blumenfeld H. EEG–fMRI in Animal Models. 2022, 663-694. DOI: 10.1007/978-3-031-07121-8_27.Peer-Reviewed Original ResearchFunctional magnetic resonance imagingSimultaneous EEG-fMRI studyEEG-fMRI studiesAnimal modelsMetabolic changesModality of choiceMagnetic resonance imagingEEG-fMRIDeep brain structuresInvasive studiesNeuronal activityHuman studiesSensory-motor processingNeuronal functionResonance imagingNeuronal processesBrain structuresSimultaneous EEG-fMRIImproved treatmentNeuroimaging signalsSoft tissueElectrical activityNeuronal networksExcellent temporal resolutionFMRI signals
2009
Fractal Characterization of Complexity in Dynamic Signals: Application to Cerebral Hemodynamics
Herman P, Kocsis L, Eke A. Fractal Characterization of Complexity in Dynamic Signals: Application to Cerebral Hemodynamics. Methods In Molecular Biology 2009, 489: 23-40. PMID: 18839086, DOI: 10.1007/978-1-59745-543-5_2.Peer-Reviewed Original ResearchConceptsCerebral hemodynamicsBrain cortexRat brain cortexLaser Doppler flowmetryAge-related stiffeningFunctional magnetic resonanceHemodynamic brain signalsDoppler flowmetryCerebral vasculatureTemporal lobeHuman studiesState of pathologyGray matterParenchymal regionsHemodynamic signalsHemodynamicsHuman brainCortexMagnetic resonanceMedical significance