Search results for " source modeling"

showing 2 items of 2 documents

Distributed analysis of simultaneous EEG-fMRI time-series: modeling and interpretation issues

2009

Functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) represent brain activity in terms of a reliable anatomical localization and a detailed temporal evolution of neural signals. Simultaneous EEG-fMRI recordings offer the possibility to greatly enrich the significance and the interpretation of the single modality results because the same neural processes are observed from the same brain at the same time. Nonetheless, the different physical nature of the measured signals by the two techniques renders the coupling not always straightforward, especially in cognitive experiments where spatially localized and distributed effects coexist and evolve temporally at different …

MaleDefault-modeBrain activity and meditationComputer scienceinstrumentation/methodsElectroencephalographycomputer.software_genreSynchronizationComputer-AssistedModelsEEGEvoked PotentialsDefault mode networkParametric statisticsVisual CortexBrain Mappingmedicine.diagnostic_testfMRISettore MED/37 - NeuroradiologiaElectroencephalographyMagnetic Resonance ImagingPattern Recognition VisualNeurologicalVisualAdultModels NeurologicalBiomedical EngineeringBiophysicsPattern RecognitionMachine learningEEG-fMRISensitivity and SpecificitymethodsImage Interpretation Computer-AssistedmedicineHumansRadiology Nuclear Medicine and imagingComputer SimulationImage Interpretationbusiness.industryWorking memoryWorking memoryReproducibility of ResultsPattern recognitionAdult Brain Mapping; methods Computer Simulation Electroencephalography; methods Evoked Potentials; Visual; physiology Humans Image Interpretation; Computer-Assisted; methods Magnetic Resonance Imaging; instrumentation/methods Male Models; Neurological Pattern Recognition; physiology Reproducibility of Results Sensitivity and Specificity Visual Cortex; physiologyDistributed source modelingphysiologyEvoked Potentials VisualArtificial intelligencebusinessFunctional magnetic resonance imagingcomputer
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A meshfree approach for brain activity source modeling

2015

Weak electrical currents in the brain flow as a consequence of acquisition, processing and transmission of information by neurons, giving raise to electric and magnetic fields, which are representable by means of quasi-stationary approximation of the Maxwell’s equations. Measurements of electric scalar potential differences at the scalp and magnetic fields near the head constitute the input data for, respectively, electroencephalography (EEG) and magnetoencepharography (MEG), which allow for reconstructing the cerebral electrical currents and thus investigating the neuronal activity in the human brain in a non-invasive way. This is a typical erectromagnetic inverse problem, since measuremen…

Settore MAT/08 - Analisi NumericaSettore ING-IND/31 - ElettrotecnicaMethod of fundamental solutions (MFS) source modeling inverse problems
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