Search results for "Human brain activity"

showing 3 items of 3 documents

Key issues in decomposing fMRI during naturalistic and continuous music experience with independent component analysis

2014

Background: Independent component analysis (ICA) has been often used to decompose fMRI data mostly for the resting-state, block and event-related designs due to its outstanding advantage. For fMRI data during free-listening experiences, only a few exploratory studies applied ICA.New method: For processing the fMRI data elicited by 512-s modern tango, a FFT based band-pass filter was used to further pre-process the fMRI data to remove sources of no interest and noise. Then, a fast model order selection method was applied to estimate the number of sources. Next, both individual ICA and group ICA were performed. Subsequently, ICA components whose temporal courses were significantly correlated …

AdultMalereal-world experiencesComputer scienceSpeech recognitionFast Fourier transformDiffusion mapTIME-SERIESfast model order selectionORDER SELECTION050105 experimental psychologyYoung AdultNUMBER03 medical and health sciences0302 clinical medicineImage Processing Computer-AssistedDiffusion mapHumans0501 psychology and cognitive sciencesICABlock (data storage)ta113Brain MappingPrincipal Component AnalysisGeneral NeurosciencefMRI05 social sciencesBrainFilter (signal processing)Magnetic Resonance ImagingIndependent component analysisSpectral clusteringOxygenMODELDIFFUSION MAPSAcoustic StimulationFFT filterta6131Auditory PerceptionFemaleHUMAN BRAIN ACTIVITYNoise (video)DYNAMICAL-SYSTEMSDigital filterMusic030217 neurology & neurosurgeryMRIJournal of Neuroscience Methods
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An advanced numerical model for human brain activity investigation

2012

Human brain activity numerical modelSettore ING-IND/31 - ElettrotecnicaSettore MAT/08 - Analisi Numerica
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A multi-sphere particle numerical model for non-invasive investigations of neuronal human brain activity

2013

In this paper, a multi-sphere particle method is built- up in order to estimate the solution of the Poisson's equation with Neumann boundary conditions describing the neuronal human brain activity. The partial difierential equations governing the relationships between neural current sources and the data produced by neuroimaging technique, are able to compute the scalp potential and magnetic fleld distributions generated by the neural activity. A numerical approach is proposed with current dipoles as current sources and going on in the computation by avoiding the mesh construction. The current dipoles are into an homogeneous spherical domain modeling the head and the computational approach i…

Mathematical optimizationCurrent (mathematics)Quantitative Biology::Neurons and CognitionComputer scienceComputationNon invasiveMathematical analysisDomain modelPoisson distributionElectronic Optical and Magnetic MaterialsDipolesymbols.namesakeBio-magnetic fields Human brain activity meshless numerical methodSettore ING-IND/31 - ElettrotecnicaNeumann boundary conditionsymbolsParticle
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