Search results for "cognitive neuroscience"

showing 10 items of 1135 documents

Contributions of longitudinal studies to evolving definitions and knowledge of developmental dyscalculia

2013

Abstract In the last 20 years, longitudinal studies have demonstrated that it is important to attend to the stability of mathematical performance over time as a facet of dyscalculia, that the manifestation of mathematics difficulties changes with development, and that individual differences in cognitive profiles and learning trajectories observed in children with mathematics difficulties implicate differences between dyscalculic and non-dyscalculic subgroups. Intra-individual differences over time, and external factors related to children's learning environments, also contribute to performance trajectories; moreover, these factors may explain the inconsistent performance profiles observed a…

Mathematical performanceCognitive NeuroscienceNeuroscience (miscellaneous)Stability (learning theory)Cognitionmedicine.diseaseMathematical anxietyEducationDevelopmental psychologyBehavioral NeuroscienceFacet (psychology)Intervention (counseling)Developmental DyscalculiaDyscalculiamedicinePsychologyCognitive psychologyTrends in Neuroscience and Education
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Priming paradigm reveals harmonic structure processing in congenital amusia.

2012

Abstract Deficits for pitch structure processing in congenital amusia has been mostly reported for melodic stimuli and explicit judgments. The present study investigated congenital amusia with harmonic stimuli and a priming task. Amusic and control participants performed a speeded phoneme discrimination task on sung chord sequences. The target phoneme was sung either on a functionally important chord (tonic chord, referred to as “related target”) or a less important one (subdominant chord, referred to as “less-related target”). Correct response times were faster when the target phoneme was sung on tonic chords rather than on subdominant chords, and this effect was less pronounced, albeit si…

MelodyMaleSubdominantCognitive NeuroscienceEmotionsExperimental and Cognitive PsychologyAmusia050105 experimental psychology03 medical and health sciences0302 clinical medicinemedicineReaction TimeHumans0501 psychology and cognitive sciencesPitch PerceptionAgedHarmonic structure05 social sciencesAuditory Perceptual DisordersBrainMiddle Agedmedicine.diseaseCorrect responseNeuropsychology and Physiological PsychologyAcoustic StimulationAuditory PerceptionChord (music)FemalePsychology030217 neurology & neurosurgeryMusicCognitive psychologyCortex; a journal devoted to the study of the nervous system and behavior
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Investigating the effects of musical training on functional brain development with a novel Melodic MMN paradigm.

2013

Sensitivity to changes in various musical features was investigated by recording the mismatch negativity (MMN) auditory event-related potential (ERP) in musically trained and nontrained children semi-longitudinally at the ages of 9, 11, and 13 years. The responses were recorded using a novel Melodic multi-feature paradigm which allows fast (<15 min) recording of an MMN profile for changes in melody, rhythm, musical key, timbre, tuning and timing. When compared to the nontrained children, the musically trained children displayed enlarged MMNs for the melody modulations by the age 13 and for the rhythm modulations, timbre deviants and slightly mistuned tones already at the age of 11. Also, a …

MelodyMalemedicine.medical_specialtyAdolescentCognitive NeuroscienceeducationMismatch negativityExperimental and Cognitive PsychologyMusicalAudiologyElectroencephalographybehavioral disciplines and activitiesBehavioral NeuroscienceFunctional brainRhythmGroup differencesmedicineHumansLongitudinal Studies10. No inequalityChildCommunicationmedicine.diagnostic_testbusiness.industryBrainElectroencephalographyhumanitiesAcoustic StimulationAuditory PerceptionEvoked Potentials AuditoryFemalebusinessPsychologyTimbreNeuroscienceMusicNeurobiology of learning and memory
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Simulating music with associative self-organizing maps

2018

Abstract We present an architecture able to recognise pitches and to internally simulate likely continuations of partially heard melodies. Our architecture consists of a novel version of the Associative Self-Organizing Map (A-SOM) with generalized ancillary connections. We tested the performance of our architecture with melodies from a publicly available database containing 370 Bach chorale melodies. The results showed that the architecture could learn to represent and perfectly simulate the remaining 20% of three different interrupted melodies when using a context length of 8 centres of activity in the A-SOM. These promising and encouraging results show that our architecture offers somethi…

MelodySelf-organizing mapComputer scienceCognitive NeuroscienceExperimental and Cognitive PsychologyContext (language use)02 engineering and technologycomputer.software_genre050105 experimental psychologyArtificial Intelligence0202 electrical engineering electronic engineering information engineering0501 psychology and cognitive sciencesInternal simulationArchitectureAssociative propertySettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionibusiness.industry05 social sciencesInformation and Computer ScienceNeural networkAssociative self-organizing map020201 artificial intelligence & image processingArtificial intelligencebusinesscomputerMusicNatural language processingBiologically Inspired Cognitive Architectures
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Beauty and the brain: Investigating the neural and musical attributes of beauty during a naturalistic music listening experience

2020

ABSTRACTEvaluative beauty judgments are very common, but in spite of this commonality, are rarely studied in cognitive neuroscience. Here we investigated the neural and musical attributes of musical beauty using a naturalistic free-listening paradigm applied to behavioral and neuroimaging recordings and validated by experts’ judgments. In Study 1, 30 Western healthy adult participants rated continuously the perceived beauty of three musical pieces using a motion sensor. This allowed us to identify the passages in the three musical pieces that were inter-subjectively judged as beautiful or ugly. This informed the analysis for Study 2, where additional 36 participants were recorded with funct…

Melodymedicine.diagnostic_testmedia_common.quotation_subjectMusicalCognitive neuroscienceBeautymedicineActive listeningOrbitofrontal cortexGeneralizability theoryPsychologyFunctional magnetic resonance imagingmedia_commonCognitive psychology
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A Dopaminergic Basis for Fear Extinction.

2019

It is a joyous relief when an event we dread fails to materialize. In fear extinction, the appetitive nature of an omitted aversive event is not a mere epiphenomenon but drives the reduction of fear responses and the formation of long-term extinction memories. Dopamine emerges as key neurobiological mediator of these related processes.

Memory Long-TermCognitive NeuroscienceEvent (relativity)Mean squared prediction errorDopamine05 social sciencesDopaminergicExperimental and Cognitive PsychologyEpiphenomenonsocial sciencesExtinction (psychology)Fearhumanities050105 experimental psychologyExtinction Psychological03 medical and health sciences0302 clinical medicineNeuropsychology and Physiological PsychologyAnimalsHumans0501 psychology and cognitive sciencesFear conditioningPsychologyNeuroscience030217 neurology & neurosurgeryTrends in cognitive sciences
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A Critical Period for Prefrontal Network Configurations Underlying Psychiatric Disorders and Addiction

2020

The medial prefrontal cortex (mPFC) has been classically defined as the brain region responsible for higher cognitive functions, including the decision-making process. Ample information has been gathered during the last 40 years in an attempt to understand how it works. We now know extensively about the connectivity of this region and its relationship with neuromodulatory ascending projection areas, such as the dorsal raphe nucleus (DRN) or the ventral tegmental area (VTA). Both areas are well-known regulators of the reward-based decision-making process and hence likely to be involved in processes like evidence integration, impulsivity or addiction biology, but also in helping us to predict…

Mini ReviewHIPPOCAMPAL VOLUMECognitive Neurosciencemedia_common.quotation_subjectVentral hippocampusImpulsivitylcsh:RC321-57103 medical and health sciencesBehavioral Neuroscience0302 clinical medicinemedicineAMYGDALA CONNECTIVITYValence (psychology)Prefrontal cortexlcsh:Neurosciences. Biological psychiatry. Neuropsychiatry030304 developmental biologymedia_commonprefrontal networks0303 health sciencesSYNAPSE FORMATIONVAL66MET POLYMORPHISMAddiction3112 NeurosciencesCognitionFUNCTIONAL CONNECTIVITYdecision-makingFRONTAL-CORTEXmedicine.diseasecritical periodVentral tegmental areaSubstance abuseCritical periodNeuropsychology and Physiological Psychologymedicine.anatomical_structureANTERIOR CINGULATEPrefrontal networksTEMPORAL-ORDERRATmedicine.symptomMESSENGER-RNANeuroscienceBasolateral amygdalan-makingventral hippocampus030217 neurology & neurosurgerybasolateral amygdalaBasolateral amygdalaDecision-making
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Detecting global and local hippocampal shape changes in Alzheimer's disease using statistical shape models.

2012

Item does not contain fulltext The hippocampus is affected at an early stage in the development of Alzheimer's disease (AD). With the use of structural magnetic resonance (MR) imaging, we can investigate the effect of AD on the morphology of the hippocampus. The hippocampal shape variations among a population can be usually described using statistical shape models (SSMs). Conventional SSMs model the modes of variations among the population via principal component analysis (PCA). Although these modes are representative of variations within the training data, they are not necessarily discriminative on labeled data or relevant to the differences between the subpopulations. We use the shape des…

Models AnatomicMaleSupport Vector MachineDatabases FactualNeuropsychological TestsHippocampusFunctional Laterality030218 nuclear medicine & medical imagingLogical addressCorrelation0302 clinical medicineDiscriminative modelAlzheimer Centre [DCN PAC - Perception action and control NCEBP 11][ INFO.INFO-TI ] Computer Science [cs]/Image Processingeducation.field_of_studyBrain MappingPrincipal Component AnalysisVerbal LearningMagnetic Resonance ImagingNeurologyData Interpretation Statistical[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Principal component analysisEducational StatusFemalePsychologyCognitive NeurosciencePopulationFeature selectionVerbal learningStatiscal Shape Model03 medical and health sciencesAlzheimer DiseaseArtificial IntelligenceSupport Vector MachinesHumansAlzheimer Centre [NCEBP 11]educationAgedMemory DisordersNeurology & NeurosurgeryModels Statisticalbusiness.industryPattern recognitionSupport vector machineMental RecallAlzheimerArtificial intelligenceAtrophybusiness030217 neurology & neurosurgery
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A human post-mortem brain model for the standardization of multi-centre MRI studies

2015

Multi-centre MRI studies of the brain are essential for enrolling large and diverse patient cohorts, as required for the investigation of heterogeneous neurological and psychiatric diseases. However, the multi-site comparison of standard MRI data sets that are weighted with respect to tissue parameters such as the relaxation times (T1, T2) and proton density (PD) may be problematic, as signal intensities and image contrasts depend on site-specific details such as the sequences used, imaging parameters, and sensitivity profiles of the radiofrequency (RF) coils. Water or gel phantoms are frequently used for long-term and/or inter-site quality assessment. However, these phantoms hardly mimic t…

Models Anatomicmedicine.medical_specialtyNeurologyCognitive NeuroscienceModels NeurologicalMulti-centre MRI studies; Post-mortem brain; Quantitative MRI; Standardization; Aged; Artifacts; Brain; Female; Humans; Magnetic Resonance Imaging; Multicenter Studies as Topic; Phantoms Imaging; Reproducibility of Results; Models Anatomic; Models Neurological; Postmortem Changes; Cognitive Neuroscience; Neurology; Medicine (all)Cognitive neuroscienceImaging phantomPhantomsImagingWhite matterModelsPost-mortem brainmedicineHumansMulticenter Studies as TopicMagnetization transferMulti-centre MRI studiesAgedmedicine.diagnostic_testbusiness.industryPhantoms ImagingMedicine (all)AnatomicBrainReproducibility of ResultsMagnetic resonance imagingHuman brainQuantitative MRIMagnetic Resonance ImagingStandardizationmedicine.anatomical_structureNeurologyPostmortem ChangesNeurologicalFemaleBrainstemNuclear medicinebusinessArtifacts
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Animal Models of Stress - Current Knowledge and Potential Directions

2021

Finding new therapies and new antidepressant agents is of high clinical priority given that many cases of depressive disorder do not respond to conventional monoaminergic antidepressants such as selective serotonin reuptake inhibitors, tricyclic antidepressants, and monoamine oxidase inhibitors The authors demonstrated that electroacupuncture and fluoxetine, a second-generation antidepressant categorized as a selective serotonin reuptake inhibitor (Perez-Caballero et al , 2014), regulate the expression of key proteins in the calmodulin kinase (CAMK) signaling pathway, which are related to depression in the hippocampi of rats (Takemoto-Kimura et al , 2017;Xie et al , 2019) In a paper on “Sho…

Monoamine oxidaseCognitive NeuroscienceSerotonin reuptake inhibitorContext (language use)Pharmacologyalternative therapylcsh:RC321-571stress03 medical and health sciencesBehavioral Neurosciencechemistry.chemical_compound0302 clinical medicineorganoselenium compoundsMonoaminergicmedicineNeurotransmitterlcsh:Neurosciences. Biological psychiatry. Neuropsychiatry030304 developmental biologychemistry.chemical_classification0303 health sciencesFluoxetinebusiness.industryanimal modelsEditorialNeuropsychology and Physiological PsychologychemistryAntidepressantmajor depressionbusiness030217 neurology & neurosurgeryTricyclicmedicine.drugFrontiers in Behavioral Neuroscience
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