Search results for "MRI"

showing 10 items of 733 documents

Dynamics of brain activity underlying working memory for music in a naturalistic condition

2012

Working memory (WM) is at the core of any cognitive function as it is necessary for the integration of information over time. Despite WM’s critical role in high-level cognitive functions, its implementation in the neural tissue is poorly understood. Preliminary studies on auditory WM show differences between linguistic and musical memory, leading to the speculation of specific neural networks encoding memory for music. Moreover, in neuroscience WM has not been studied in naturalistic listening conditions but rather in artificial settings (e.g., n-back and Sternberg tasks). Western tonal music provides naturally occurring motivic repetition and variation, recognizable units serving as WM tri…

cognitive neurosciencetoiminnallinen magneettikuvausmusical motifsfunctional magnetic resonance imaging (fMRI)musiikkimusickognitiivinen neurotiedetyömuistibehavioral disciplines and activitieshumanitiesworking memorydistributed networkscorrelational analysis
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Shift-Invariant Canonical Polyadic Decomposition of Complex-Valued Multi-Subject fMRI Data with a Phase Sparsity Constraint

2020

Canonical polyadic decomposition (CPD) of multi-subject complex-valued fMRI data can be used to provide spatially and temporally shared components among groups with both magnitude and phase information. However, the CPD model is not well formulated due to the large subject variability in the spatial and temporal modalities, as well as the high noise level in complex-valued fMRI data. Considering that the shift-invariant CPD can model temporal variability across subjects, we propose to further impose a phase sparsity constraint on the shared spatial maps to denoise the complex-valued components and to model the inter-subject spatial variability as well. More precisely, subject-specific time …

complex-valued fMRI dataComputer sciencespatiotemporal constraintscomputer.software_genrecanonical polyadic decomposition (CPD)030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicinetoiminnallinen magneettikuvausVoxelshift-invariantImage Processing Computer-AssistedmedicineHumansTensorElectrical and Electronic EngineeringInvariant (mathematics)Radiological and Ultrasound Technologymedicine.diagnostic_testsignaalinkäsittelyBrainComplex valuedsignaalianalyysiSignal Processing Computer-Assistedsource phase sparsityMagnetic Resonance ImagingComputer Science ApplicationsNorm (mathematics)Frequency domainSpatial variabilityFunctional magnetic resonance imagingAlgorithmcomputerAlgorithmsSoftware
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Polyamines : études et applications

2008

International audience

complexescoordinationvectorisationextraction/purificationcatalysis[CHIM.ORGA]Chemical Sciences/Organic chemistry[CHIM.ORGA] Chemical Sciences/Organic chemistrycyclic polyamines[ CHIM.ORGA ] Chemical Sciences/Organic chemistryhybrid materialsluminescenceComputingMilieux_MISCELLANEOUSlinear polyaminesMRI
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Applying fully tensorial ICA to fMRI data

2016

There are two aspects in functional magnetic resonance imaging (fMRI) data that make them awkward to analyse with traditional multivariate methods - high order and high dimension. The first of these refers to the tensorial nature of observations as array-valued elements instead of vectors. Although this can be circumvented by vectorizing the array, doing so simultaneously loses all the structural information in the original observations. The second aspect refers to the high dimensionality along each dimension making the concept of dimension reduction a valuable tool in the processing of fMRI data. Different methods of tensor dimension reduction are currently gaining popUlarity in literature…

computer.software_genre01 natural sciencesTask (project management)010104 statistics & probability03 medical and health sciences0302 clinical medicineDimension (vector space)medicinePreprocessorTensor0101 mathematicsMathematicsta112medicine.diagnostic_testbusiness.industryDimensionality reductionfMRIPattern recognitionIndependent component analysisdataPrincipal component analysisData miningArtificial intelligencefunctional magnetic resonance imaging databusinessFunctional magnetic resonance imagingcomputer030217 neurology & neurosurgery2016 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)
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Questions and controversies in the study of time-varying functional connectivity in resting fMRI.

2020

The brain is a complex, multiscale dynamical system composed of many interacting regions. Knowledge of the spatiotemporal organization of these interactions is critical for establishing a solid understanding of the brain’s functional architecture and the relationship between neural dynamics and cognition in health and disease. The possibility of studying these dynamics through careful analysis of neuroimaging data has catalyzed substantial interest in methods that estimate time-resolved fluctuations in functional connectivity (often referred to as “dynamic” or time-varying functional connectivity; TVFC). At the same time, debates have emerged regarding the application of TVFC analyses to re…

confound regression strategiesComputer scienceBrain networksRest1.1 Normal biological development and functioningdynamic connectivityReviewDynamical systemlcsh:RC321-57103 medical and health sciencesFunctional connectivity0302 clinical medicineArtificial IntelligenceUnderpinning researchBehavioral and Social Sciencestate fmricognitive controlmotion correctionReview Articleslcsh:Neurosciences. Biological psychiatry. Neuropsychiatry030304 developmental biologyindividual-differencesRest (physics)0303 health sciencesApplied MathematicsGeneral NeuroscienceResting fmriFunctional connectivitytest-retest reliabilityfMRINeurosciencesComputer Science ApplicationsMental HealthNeurologicalwhole-brainNeurosciencedefault mode030217 neurology & neurosurgeryBrain dynamics
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Teacher smiles as an interactional and pedagogical resource in the classroom

2020

In classroom settings, laughter and smiles are resources for action that are available to both teachers and students. Recent interactional studies have documented how students use these resources to deal with trouble of various kind, but less is known about the sequential and activity contexts of teachers’ laughter-relevant practices, as well as their pedagogical functions. We use multimodal conversation analysis (CA) to investigate the interactional unfolding and pedagogical orientations of teacher smiles during instructional IRE (initiation-response-evaluation) sequences in a corpus of 37 bilingual lessons collected in schools in Finland and Spain. In analysing the focal smiles, we pay at…

conversation analysisConversation analysisAprendizaje integrado de contenido e idiomas (CLIL)hymyAnálisis de conversacionesluokkatyöskentelySmileAnàlisi de conversesnaurucontent and language integrated learning (CLIL)opettaja-oppilassuhdeAprenentatge integrat de contingut i idiomes (CLIL)keskustelunanalyysismiling37SonrisaRiureopetustilanneLaughvieraskielinen opetusSomriureInteraction in the classroomInteracción en el aula risaclassroom interactionlaughterInteracció a l'aulaIntegrated content and language learning (CLIL)
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Effects of a progressive aquatic resistance exercise program on the biomechanical composition and morphology of cartilage in women with mild knee ost…

2013

Background. Symptoms associated with osteoarthritis of the knee result in decreased function, loss of working capacity and extensive social and medical costs. There is a need to investigate and develop effective interventions to minimise the impact of and even prevent the progression of osteoarthritis. Aquatic exercise has been shown to be effective at reducing the impact of osteoarthritis. The purpose of this article is to describe the rationale, design and intervention of a study investigating the effect of an aquatic resistance exercise intervention on cartilage in postmenopausal women with mild knee osteoarthritis. Methods. A minimum of 80 volunteers who meet the inclusion criteria will…

dGEMRICAquatic exerciseOsteoarthritisluuQuantitative MRIT2 relaxation time
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Tärähdyksiä sisältävän harjoittelun vaikutus polvinivelrustoon ja toimintakykyyn lievää polvinivelrikkoa sairastavilla 50-65 -vuotiailla naisilla : s…

2016

Nivelrikko on etenkin ikääntyneeseen väestöön kohdistuva kipuja ja toiminnallisia rajoituksia aiheuttava nivelsairaus. Tutkimuksen tarkoituksena oli selvittää liikunnan vaikutuksia polvinivelruston laatuun ja seurata mahdollisia rustomuutoksia 12 kuukauden kuluttua harjoittelun lopettamisesta lievää polvinivelrikkoa sairastavilla 50-65 –vuotiailla naisilla. Lisäksi tarkoituksena oli tutkia harjoittelun vaikutuksia fyysiseen toimintakykyyn ja polven oireisiin sekä arvioida vaikutusten pysyvyyttä intervention jälkeen. Tutkimukseen osallistui 61 vapaaehtoista naista, joilla oli lievä radiologinen polven nivelrikko. He kaikki osallistuivat 12 kuukauden interventiojaksoon ja sitä seuranneeseen 1…

dGEMRICnivelrikkoT2tärähdyksiä sisältävä harjoittelunivelrustofyysinen toimintakykykollageenitharjoitteluglykosaminoglykaanibiokemiallinen koostumuspolvilumpio
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Problēmrisināšanas uzdevumi dabaszinību apguvē 4.-6. klasē

2022

Pieredzes darbs “Problēmrisināšanas uzdevumi dabaszinību apguvē 4.-6. klasē” ir pieredzē balstīts darbs, kura mērķis bija apkopot informāciju par problēmrisināšanas uzdevumu lietošanu un izstrādāt uzdevumu piemērus dabaszinību apguvei pamatskolā. Darba izstrāde notika vispārizglītojošas skolas dabaszinību stundās trīs 4. klasēs, vienā 5. klasē un vienā 6. klasē. Rezultātā tika izstrādāti un aprobēti trīs tematu plāni dabaszinību apguvei 4., 5. un 6. klasē, stundu plāni, metodiskie līdzekļi un vērtēšanas metodika problēmrisināšnas uzdevumam tematos “Gaisma” (4. klase), “Dabas resursi” (5. klase) un “Šūna, audi, organisms”(6. klase).

dabaszinību apguveIzglītības zinātnespamatskolaaktīva mācīšanāsmetodikas aprobācijaproblēmrisināšanas uzdevumi
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DEFAULT MODE NETWORK AND WORKING MEMORY NETWORK DURING AN FMRI WORKING MEMORY TASK: DIFFERENCES AND CORRELATIONS WITH BEHAVIORAL PERFORMANCE

2013

INTRODUCTION Previous neuroimaging studies have shown that working memory load has marked effects on regional neural activation[1-5]. However, the mechanism through which working memory load modulates brain connectivity is still unclear. During a working memory task, two of the most involved networks are the default mode network (DMN) and the working memory network (WMN)[6-7]: the selective focus on these networks can be useful in better understanding the load effects. Spatial independent component analysis (ICA)[8] has becomes a reliable technique to investigate the networks involved during an fMRI task, as it extracts spatiotemporal patterns of neural activity maximizing spatial independe…

default mode network working memory functional connectivity fMRI ICA
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