Search results for "NCEP"

showing 10 items of 3866 documents

2020

Regular physical activity (PA) offers positive effects on the human body. However, the effects of PA on cognition and in the brain are less clear. In this paper, we narratively review the relationship of PA with cognition and dementia, first from general perspective and then through genetically informed studies on the topic. Then we move on to imaging studies on exercise and brain anatomy first by presenting an overall picture of the topic and then discussing brain imaging studies addressing PA and brain structure in twins in more detailed way. Regarding PA and cognition or dementia, genetically informed studies are uncommon, even though the relationship between PA and cognitive ageing has …

medicine.diagnostic_testCognitive NeuroscienceBrain morphometryMismatch negativityCognitionElectroencephalographymedicine.diseaseTwin study03 medical and health sciencesBehavioral Neuroscience0302 clinical medicineNeuropsychology and Physiological PsychologyNeuroimagingmedicineDementia030212 general & internal medicineYoung adultPsychologyNeuroscience030217 neurology & neurosurgeryNeuroscience & Biobehavioral Reviews
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Identical fits of nonnegative matrix/tensor factorization may correspond to different extracted event-related potentials

2010

Nonnegative Matrix / Tensor factorization (NMF/NTF) have been used in the study of EEG, and the fit (explained variation) is often used to evaluate the performance of a nonnegative decomposition algorithm. However, this parameter only reveals the information derived from the mathematical model and just exhibits the reliability of the algorithms, and the property of EEG can not be reflected. If fits of two algorithms are identical, it is necessary to examine whether the desired components extracted by them are identical too. In order to verify this doubt, we performed NMF and NTF on the same dataset of an auditory event-related potentials (ERPs), and found that the identical fits of NMF and …

medicine.diagnostic_testComponent (thermodynamics)Property (programming)business.industryFeature extractionPattern recognitionElectroencephalographyMatrix decompositionNon-negative matrix factorizationTime–frequency analysismedicineArtificial intelligenceNonnegative matrixbusinessMathematicsThe 2010 International Joint Conference on Neural Networks (IJCNN)
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Editorial: Breakthrough BCI Applications in Medicine

2020

medicine.diagnostic_testComputer scienceGeneral NeuroscienceSpeech recognitionElectroencephalographyclinical applicationslcsh:RC321-571EditorialMotor imagerymotor imagerymedicineEEGBCIP300lcsh:Neurosciences. Biological psychiatry. NeuropsychiatryNeuroscienceBrain–computer interfaceFrontiers in Neuroscience
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Distilling the essence of TMS-evoked EEG potentials (TEPs): A call for securing mechanistic specificity and experimental rigor

2019

medicine.diagnostic_testComputer scienceGeneral Neurosciencemedicine.medical_treatmentBiophysicsElectroencephalographyElectroencephalographyTranscranial Magnetic Stimulationlcsh:RC321-571Transcranial magnetic stimulationmedicineNeurology (clinical)lcsh:Neurosciences. Biological psychiatry. NeuropsychiatryEvoked PotentialsNeuroscienceBrain Stimulation
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Beyond the word and image: III. Neurodynamic properties of the semantic network

2019

AbstractUnderstanding the neural process underlying the comprehension of visual images and sentences remains a major open challenge in cognitive neuroscience. We previously demonstrated with fMRI and DTI that comprehension of visual images and sentences describing human activities recruits a common semantic system. The current research tests the hypothesis that this common semantic system will display similar neural dynamics during processing in these two modalities. To investigate these neural dynamics we recorded EEG from naïve subjects as they saw simple narratives made up of a first visual image depicting a human event, followed by a second that was either a sequentially coherent narrat…

medicine.diagnostic_testComputer scienceSpeech recognition05 social sciencesImage processingElectroencephalographyCognitive neuroscience050105 experimental psychologySemantic network03 medical and health sciences0302 clinical medicinemedicineSemantic memory0501 psychology and cognitive sciences030217 neurology & neurosurgerySentence
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Epilepsy stages diagnosis by Gabor atom density according to their aspect ratio

2008

During epilepsy seizure Electrocorticogram (ECoG) may change dramatically from a nearly chaotic signal (basal state) into a highly synchronized signal during a seizure, characterized by high amplitude and low frequency, and suddenly go back to the basal sate, making hard to identify them from time series. The epileptic seizure shows some stages as it is evolving, the here studied are: basal, preictal, ictal and posictal. As most of the bioelectrical signal, ECoG is a highly non periodical signal, so the most suitable techniques to analyze them are the Time-Frequency algorithms (T-F), allowing to follow up its frequency evolution through the seizure. Each seizure stage has a set of frequency…

medicine.diagnostic_testComputer scienceSpeech recognitionGabor atomElectroencephalographyNeurophysiologymedicine.diseaseTime–frequency analysisEpilepsymedicineIctalEpileptic seizuremedicine.symptomKindling model2008 5th International Conference on Electrical Engineering, Computing Science and Automatic Control
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Exploring Frequency-dependent Brain Networks from ongoing EEG using Spatial ICA during music listening

2019

AbstractRecently, exploring brain activity based on functional networks during naturalistic stimuli especially music and video represents an attractive challenge because of the low signal-to-noise ratio in collected brain data. Although most efforts focusing on exploring the listening brain have been made through functional magnetic resonance imaging (fMRI), sensor-level electro- or magnetoencephalography (EEG/MEG) technique, little is known about how neural rhythms are involved in the brain network activity under naturalistic stimuli. This study exploited cortical oscillations through analysis of ongoing EEG and musical feature during free-listening to music. We used a data-driven method t…

medicine.diagnostic_testComputer sciencebusiness.industryBrain activity and meditation05 social sciencesShort-time Fourier transformPattern recognitionMusicalMagnetoencephalographyElectroencephalographyStimulus (physiology)Independent component analysis050105 experimental psychology03 medical and health sciences0302 clinical medicineFeature (computer vision)medicineMusic information retrieval0501 psychology and cognitive sciencesActive listeningArtificial intelligenceFunctional magnetic resonance imagingbusiness030217 neurology & neurosurgery
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Single-trial-based Temporal Principal Component Analysis on Extracting Event-related Potentials of Interest for an Individual Subject

2021

Abstract Temporal principal component analysis (t-PCA) has been widely used to extract event-related potentials (ERPs) at the group level of multiple subjects’ ERP data. The key assumption of group t-PCA analysis is that desired ERPs of all subjects share the same waveforms (i.e., temporal components), whereas waveforms of different subjects’ ERPs can be variant in phases, peak latencies and so on, to some extent. Additionally, several PCA-extracted components coming from the same ERP dataset failed to be statistically analysed simultaneously because their polarities and amplitudes were indeterminate. To fill these gaps, a novel technique was proposed and employed to extract desired ERP fro…

medicine.diagnostic_testComputer sciencebusiness.industryPattern recognitionVariance (accounting)Filter (signal processing)ElectroencephalographyMatrix (mathematics)Event-related potentialPrincipal component analysismedicineArtificial intelligencebusinessSpatial analysisRotation (mathematics)
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Information-theoretic assessment of cardiovascular-brain networks during sleep

2015

This study was aimed at detecting the structure of the physiological network underlying the regulation of the cardiovascular and brain systems during normal sleep. To this end, we measured from the polysomnographic recordings of 10 healthy subjects the normalized spectral power of heart rate variability in the high frequency band (HF) and the EEG power in the δ, θ, α, σ, and β bands. Then, the causal statistical dependencies within and between these six time series were assessed in terms of internal information (conditional self entropy, CSE) and information transfer (transfer entropy, TE) computed via a linear method exploiting multiple regression models and a nonlinear method combining ne…

medicine.diagnostic_testComputer sciencebusiness.industrySpeech recognitionDimensionality reductionPattern recognitionElectroencephalographyEntropy estimationNonlinear systemLinear regressionComputer ScienceSettore ING-INF/06 - Bioingegneria Elettronica E InformaticamedicineHeart rate variabilityEntropy (information theory)Transfer entropyArtificial intelligencebusinessCardiology and Cardiovascular Medicine
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2020

Besides the pure pleasure of watching a dance performance, dance as a whole-body movement is becoming increasingly popular for health-related interventions. However, the science-based evidence for improvements in health or well-being through dance is still ambiguous and little is known about the underlying neurophysiological mechanisms. This may be partly related to the fact that previous studies mostly examined the neurophysiological effects of imagination and observation of dance rather than the physical execution itself. The objective of this pilot study was to investigate acute effects of a physically executed dance with its different components (recalling the choreography and physical …

medicine.diagnostic_testDanceBrain activity and meditationMovement (music)media_common.quotation_subject05 social sciencesElectroencephalographyChoreography (dance)050105 experimental psychologyPleasure03 medical and health sciences0302 clinical medicineRhythmmedicine0501 psychology and cognitive sciencesJazzPsychology030217 neurology & neurosurgeryGeneral PsychologyCognitive psychologymedia_commonFrontiers in Psychology
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