Search results for "Process"

showing 10 items of 22310 documents

Facilitation of bottom-up feature detection following rTMS-interference of the right parietal cortex

2010

In visual search tasks the optimal strategy should utilize relevant information ignoring irrelevant one. When the information at the feature and object levels are in conflict, un-necessary processing at higher level of object shape can interfere with detection of lower level orientation feature. We explored the effects of inhibitory trains of transcranial magnetic stimulation (rTMS) on the right and left parietal cortex in healthy subjects performing two visual search tasks. One task (Task A) was characterised by an object-to-feature interference. The other task (Task B) was without such interference. We found that rTMS of the right parietal cortex significantly reduced reaction times (RTs)…

AdultMaleCognitive Neurosciencemedicine.medical_treatmenttmPosterior parietal cortexExperimental and Cognitive PsychologyNeuropsychological Testsbehavioral disciplines and activitiesFunctional LateralityTask (project management)Behavioral NeuroscienceOrientationParietal LobeTask Performance and AnalysisReaction TimemedicineHumansvisual cortexVisual searchSettore M-PSI/02 - Psicobiologia E Psicologia FisiologicaParietal lobeCognitive neuroscience of visual object recognitionRecognition PsychologyTranscranial Magnetic StimulationattentionTranscranial magnetic stimulationInhibition PsychologicalVisual cortexmedicine.anatomical_structureparietal cortexFeature (computer vision)Space PerceptionFemalePsychologyNeurosciencePsychomotor Performancepsychological phenomena and processesCognitive psychology
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New perspectives on the manipulation of opiate urges and the assessment of cognitive effort associated with opiate urges

2000

Behavioral models of drug urges assume that conditioned urges are strongly associated with drug consumption. An alternative, cognitive model assumes that urges represent the operation of cognitively demanding processes devoted to either supporting or blocking the automatized drug-use behavior. In Study 1, the effect of verbal drug cues and mood induction on self-reported opiate urges were examined. Twenty-four opiate addicts were either instructed to listen to verbal drug cures or neutral cues. Negative mood induction was applied on 12 addicts. Study 2 examined the cognitive processes underlying these urges. In a dual task paradigm, participants responded to a probe stimulus and listened si…

AdultMaleCognitive modelDual-task paradigmPsychotherapistmedia_common.quotation_subjectMedicine (miscellaneous)Stimulus (physiology)Toxicologybehavioral disciplines and activitiesHumansInternal-External Controlmedia_commonMotivationHeroin DependenceAddictionInformation processingCognitionCognitive effortAffectPsychiatry and Mental healthClinical PsychologyFemaleCuesOpiatePsychologyAddictive Behaviors
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Object switching within working memory is reflected in the human event-related brain potential

2008

In two experiments applying a memory updating task subjects are asked to perform several arithmetic operations on stored numbers. From a trial-to-trial perspective these operations could be either performed on a previously processed item or on a new item which requires an object switch in working memory. Object switching results in prolonged operation times; these operation time costs reflect the switch of the focus of attention to the relevant information. Event-related brain potentials obtained in object switch trials show an increased P3a around 300 ms and a late, central negative component between 400 ms and 500 ms. The data suggest that the P3a may reflect the unhitching of the focus o…

AdultMaleCommunicationFocus (computing)business.industryWorking memoryGeneral NeurosciencePerspective (graphical)Memory rehearsalObject (computer science)Task (project management)P3aMemory Short-TermMental ProcessesEvoked Potentials VisualHumansAttentionFemalebusinessSet (psychology)PsychologyEvoked PotentialsCognitive psychologyNeuroscience Letters
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Numerical relations and skill level constrain co-adaptive behaviors of agents in sports teams.

2014

Similar to other complex systems in nature (e.g., a hunting pack, flocks of birds), sports teams have been modeled as social neurobiological systems in which interpersonal coordination tendencies of agents underpin team swarming behaviors. Swarming is seen as the result of agent co-adaptation to ecological constraints of performance environments by collectively perceiving specific possibilities for action (affordances for self and shared affordances). A major principle of invasion team sports assumed to promote effective performance is to outnumber the opposition (creation of numerical overloads) during different performance phases (attack and defense) in spatial regions adjacent to the bal…

AdultMaleCompetitive BehaviorAdolescentScienceTeam effectivenessPoison controlSocial SciencesAthletic PerformanceSocial SkillsInterpersonal relationshipYoung AdultSocial skillsAdaptation PsychologicalSoccerHuman PerformanceMedicine and Health SciencesMedicinePsychologyHumansInterpersonal RelationsSports and Exercise MedicineCooperative BehaviorAffordanceta315Team compositionBehaviorMultidisciplinaryHuman Movementbusiness.industryQRBiology and Life SciencesFacultyGroup ProcessesCollective Human BehaviorSocial systemGeographic Information SystemsMedicineCollective animal behaviorbusinessCognitive psychologyResearch ArticleSportsPLoS ONE
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From Vivaldi to Beatles and back: predicting lateralized brain responses to music.

2013

We aimed at predicting the temporal evolution of brain activity in naturalistic music listening conditions using a combination of neuroimaging and acoustic feature extraction. Participants were scanned using functional Magnetic Resonance Imaging (fMRI) while listening to two musical medleys, including pieces from various genres with and without lyrics. Regression models were built to predict voxel-wise brain activations which were then tested in a cross-validation setting in order to evaluate the robustness of the hence created models across stimuli. To further assess the generalizability of the models we extended the cross-validation procedure by including another dataset, which comprised …

AdultMaleComputational feature extractionBrain activity and meditationCognitive NeurosciencePoison controlAuditory cortexta3112behavioral disciplines and activities050105 experimental psychologyFunctional Laterality03 medical and health sciencesYoung Adult0302 clinical medicineNeuroimagingGyrusmedicineOrbitofrontal cortexImage Processing Computer-AssistedTemporal dynamics of music and languageHumans0501 psychology and cognitive sciencesBrain MappingPrincipal Component Analysismedicine.diagnostic_testAuditory cortex05 social sciencesBrainCross-validationMagnetic Resonance Imaginghumanitiesmedicine.anatomical_structureNeurologyFMRINaturalistic stimulusAuditory PerceptionOrbitofrontal cortexFemalePsychologyFunctional magnetic resonance imagingNeuroscience030217 neurology & neurosurgeryMusicCognitive psychologyNeuroImage
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LOW-RANK APPROXIMATION BASED NON-NEGATIVE MULTI-WAY ARRAY DECOMPOSITION ON EVENT-RELATED POTENTIALS

2014

Non-negative tensor factorization (NTF) has been successfully applied to analyze event-related potentials (ERPs), and shown superiority in terms of capturing multi-domain features. However, the time-frequency representation of ERPs by higher-order tensors are usually large-scale, which prevents the popularity of most tensor factorization algorithms. To overcome this issue, we introduce a non-negative canonical polyadic decomposition (NCPD) based on low-rank approximation (LRA) and hierarchical alternating least square (HALS) techniques. We applied NCPD (LRAHALS and benchmark HALS) and CPD to extract multi-domain features of a visual ERP. The features and components extracted by LRAHALS NCP…

AdultMaleComputer Networks and CommunicationsEmotionsLow-rank approximationEmotional processingEvent-related potentialDecomposition (computer science)Feature (machine learning)HumansRepresentation (mathematics)ta515Mathematicsta113Depressionbusiness.industryGroup (mathematics)ElectroencephalographyPattern recognitionGeneral MedicineMiddle AgedFacial ExpressionAlgebraData Interpretation StatisticalBenchmark (computing)Evoked Potentials VisualFemaleArtificial intelligencebusinessInternational Journal of Neural Systems
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Multi-domain feature extraction for small event-related potentials through nonnegative multi-way array decomposition from low dense array EEG

2013

Non-negative Canonical Polyadic decomposition (NCPD) and non-negative Tucker decomposition (NTD) were compared for extracting the multi-domain feature of visual mismatch negativity (vMMN), a small event-related potential (ERP), for the cognitive research. Since signal-to-noise ratio in vMMN is low, NTD outperformed NCPD. Moreover, we proposed an approach to select the multi-domain feature of an ERP among all extracted features and discussed determination of numbers of extracted components in NCPD and NTD regarding the ERP context.

AdultMaleComputer Networks and CommunicationsFeature extractionEmotionsMismatch negativityContext (language use)Signal-To-Noise RatioSignal-to-noise ratioEvent-related potentialDecomposition (computer science)HumansMathematicsBrain MappingElectronic Data Processingbusiness.industryta111BrainPattern recognitionElectroencephalographyGeneral MedicineMiddle AgedFeature (computer vision)Evoked Potentials VisualFemaleArtificial intelligencebusinessPhotic StimulationTucker decompositionInternational Journal of Neural Systems
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Intra-individual gait patterns across different time-scales as revealed by means of a supervised learning model using kernel-based discriminant regre…

2017

Objective Traditionally, gait analysis has been centered on the idea of average behavior and normality. On one hand, clinical diagnoses and therapeutic interventions typically assume that average gait patterns remain constant over time. On the other hand, it is well known that all our movements are accompanied by a certain amount of variability, which does not allow us to make two identical steps. The purpose of this study was to examine changes in the intra-individual gait patterns across different time-scales (i.e., tens-of-mins, tens-of-hours). Methods Nine healthy subjects performed 15 gait trials at a self-selected speed on 6 sessions within one day (duration between two subsequent ses…

AdultMaleComputer and Information SciencesKinematicsPhysiologySocial SciencesWalkingHuman GeographyModels BiologicalMachine LearningArtificial IntelligenceSupport Vector MachinesMedicine and Health SciencesHumansLearningGaitMusculoskeletal SystemBehaviorData ProcessingGeographyBiological LocomotionPhysicsBiology and Life SciencesClassical MechanicsPhysical SciencesEarth SciencesHuman MobilityFemaleAnatomyGait AnalysisInformation TechnologyResearch ArticlePloS one
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pBrain: A novel pipeline for Parkinson related brain structure segmentation

2020

[EN] Parkinson is a very prevalent neurodegenerative disease impacting the life of millions of people worldwide. Although its cause remains unknown, its functional and structural analysis is fundamental to advance in the search of a cure or symptomatic treatment. The automatic segmentation of deep brain structures related to Parkinson's disease could be beneficial for the follow up and treatment planning. Unfortunately, there is not broadly available segmentation software to automatically measure Parkinson related structures. In this paper, we present a novel pipeline to segment three deep brain structures related to Parkinson's disease (substantia nigra, subthalamic nucleus and red nucleus…

AdultMaleComputer scienceCognitive NeurosciencePipeline (computing)NeuroimagingSubstantia nigraImage processinglcsh:Computer applications to medicine. Medical informaticslcsh:RC346-429050105 experimental psychologyNeurologia03 medical and health sciences0302 clinical medicineImage Interpretation Computer-Assisted[INFO.INFO-IM]Computer Science [cs]/Medical ImagingImage Processing Computer-AssistedHumans0501 psychology and cognitive sciencesRadiology Nuclear Medicine and imagingSegmentationlcsh:Neurology. Diseases of the nervous systemAgedStructure (mathematical logic)Artificial neural networkbusiness.industry05 social sciencesBrainReproducibility of ResultsRegular ArticleParkinson DiseasePattern recognitionMiddle AgedMagnetic Resonance ImagingSubthalamic nucleusNeurologyFISICA APLICADAlcsh:R858-859.7Sistema nerviós MalaltiesFemaleNeurology (clinical)Artificial intelligencebusinessError detection and correctionLENGUAJES Y SISTEMAS INFORMATICOS030217 neurology & neurosurgery
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Reproducibility of multiphase pseudo-continuous arterial spin labeling and the effect of post-processing analysis methods

2015

Arterial spin labeling (ASL) is an emerging MRI technique for non-invasive measurement of cerebral blood flow (CBF). Compared to invasive perfusion imaging modalities, ASL suffers from low sensitivity due to poor signal-to-noise ratio (SNR), susceptibility to motion artifacts and low spatial resolution, all of which limit its reliability. In this work, the effects of various state of the art image processing techniques for addressing these ASL limitations are investigated. A processing pipeline consisting of motion correction, ASL motion correction imprecision removal, temporal and spatial filtering, partial volume effect correction, and CBF quantification was developed and assessed. To fur…

AdultMaleComputer scienceCognitive Neurosciencecerebral blood flowPartial volumePerfusion scanningImage processingSignal-To-Noise RatioYoung AdultImage Processing Computer-Assistedspin labelingHumansreproducibilityImage resolutionReproducibilitySpatial filterbusiness.industrymultiphase pseudo-continuous arterialBrainReproducibility of ResultsSite-directed spin labelingImage EnhancementMagnetic Resonance Imagingarterial spin labelingNeurologyCerebral blood flowArterial spin labelingFemaleSpin Labelsperfusion MRIArtifactsNuclear medicinebusinesstest–retestBiomedical engineeringNeuroImage
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