2021
Multifractal Functional Connectivity Analysis of Electroencephalogram Reveals Reorganization of Brain Networks in a Visual Pattern Recognition Paradigm
Stylianou O, Racz F, Kim K, Kaposzta Z, Czoch A, Yabluchanskiy A, Eke A, Mukli P. Multifractal Functional Connectivity Analysis of Electroencephalogram Reveals Reorganization of Brain Networks in a Visual Pattern Recognition Paradigm. Frontiers In Human Neuroscience 2021, 15: 740225. PMID: 34733145, PMCID: PMC8558231, DOI: 10.3389/fnhum.2021.740225.Peer-Reviewed Original ResearchFunctional connectivityHigher-order brain functionsFunctional connectivity analysisEyes-open stateBrain reorganizationHealthy volunteersBrain regionsBrain functionBrain connectivityDiseased populationsAnatomical networksSuccess rateFunctional couplingBrain networksEndpoint parametersNeuronal assembliesHuman brainConnectivity analysisObserved regional heterogeneityRecognition trialsLevelsRegional heterogeneityBrainTrialsRecognition paradigm
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