321 resultados para Modèle explicitement spatial
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Parvalbumin-immunoreactive interneurons are surrounded by perineuronal nets, containing molecules of the extracellular matrix (e.g. tenascin-R). Furthermore, they seem to have a special cytoskeleton composed of, among others, ankyrinR and beta Rspectrin. In the present developmental study we showed that the intracellular markers parvalbumin, ankyrinR and beta Rspectrin as well as Vicia Villosa agglutinin, an extracellular marker for perineuronal nets, appeared in the second postnatal week. In the third postnatal week, ankyrinR and beta R spectrin were present in the parvalbumin-positive interneurons. Tenascin-R appeared in a similar topographic distribution as the intracellular markers. The adult pattern was established upon the end of the fourth postnatal week. Our results indicate that cytoskeletal maturity maybe a prerequisite for the organization of perineuronal nets of extracellular matrix.
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Male and female Wistar rats were treated postnatally (PND 5-16) with BSO (l-buthionine-(S,R)-sulfoximine) to provide a rat model of schizophrenia based on transient glutathione deficit. In the watermaze, BSO-treated male rats perform very efficiently in conditions where a diversity of visual information is continuously available during orientation trajectories [1]. Our hypothesis is that the treatment impairs proactive strategies anticipating future sensory information, while supporting a tight visual adjustment on memorized snapshots, i.e. compensatory reactive strategies. To test this hypothesis, BSO rats' performance was assessed in two conditions using an 8-arm radial maze task: a semi-transparent maze with no available view on the environment from maze centre [2], and a modified 2-parallel maze known to induce a neglect of the parallel pair in normal rats [3-5]. Male rats, but not females, were affected by the BSO treatment. In the semi-transparent maze, BSO males expressed a higher error rate, especially in completing the maze after an interruption. In the 2-parallel maze shape, BSO males, unlike controls, expressed no neglect of the parallel arms. This second result was in accord with a reactive strategy using accurate memory images of the contextual environment instead of a representation based on integrating relative directions. These results are coherent with a treatment-induced deficit in proactive decision strategy based on multimodal cognitive maps, compensated by accurate reactive adaptations based on the memory of local configurations. Control females did not express an efficient proactive capacity in the semi-transparent maze, neither did they show the significant neglect of the parallel arms, which might have masked the BSO induced effect. Their reduced sensitivity to BSO treatment is discussed with regard to a sex biased basal cognitive style.
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1. Statistical modelling is often used to relate sparse biological survey data to remotely derived environmental predictors, thereby providing a basis for predictively mapping biodiversity across an entire region of interest. The most popular strategy for such modelling has been to model distributions of individual species one at a time. Spatial modelling of biodiversity at the community level may, however, confer significant benefits for applications involving very large numbers of species, particularly if many of these species are recorded infrequently. 2. Community-level modelling combines data from multiple species and produces information on spatial pattern in the distribution of biodiversity at a collective community level instead of, or in addition to, the level of individual species. Spatial outputs from community-level modelling include predictive mapping of community types (groups of locations with similar species composition), species groups (groups of species with similar distributions), axes or gradients of compositional variation, levels of compositional dissimilarity between pairs of locations, and various macro-ecological properties (e.g. species richness). 3. Three broad modelling strategies can be used to generate these outputs: (i) 'assemble first, predict later', in which biological survey data are first classified, ordinated or aggregated to produce community-level entities or attributes that are then modelled in relation to environmental predictors; (ii) 'predict first, assemble later', in which individual species are modelled one at a time as a function of environmental variables, to produce a stack of species distribution maps that is then subjected to classification, ordination or aggregation; and (iii) 'assemble and predict together', in which all species are modelled simultaneously, within a single integrated modelling process. These strategies each have particular strengths and weaknesses, depending on the intended purpose of modelling and the type, quality and quantity of data involved. 4. Synthesis and applications. The potential benefits of modelling large multispecies data sets using community-level, as opposed to species-level, approaches include faster processing, increased power to detect shared patterns of environmental response across rarely recorded species, and enhanced capacity to synthesize complex data into a form more readily interpretable by scientists and decision-makers. Community-level modelling therefore deserves to be considered more often, and more widely, as a potential alternative or supplement to modelling individual species.
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Sound localization relies on the analysis of interaural time and intensity differences, as well as attenuation patterns by the outer ear. We investigated the relative contributions of interaural time and intensity difference cues to sound localization by testing 60 healthy subjects: 25 with focal left and 25 with focal right hemispheric brain damage. Group and single-case behavioural analyses, as well as anatomo-clinical correlations, confirmed that deficits were more frequent and much more severe after right than left hemispheric lesions and for the processing of interaural time than intensity difference cues. For spatial processing based on interaural time difference cues, different error types were evident in the individual data. Deficits in discriminating between neighbouring positions occurred in both hemispaces after focal right hemispheric brain damage, but were restricted to the contralesional hemispace after focal left hemispheric brain damage. Alloacusis (perceptual shifts across the midline) occurred only after focal right hemispheric brain damage and was associated with minor or severe deficits in position discrimination. During spatial processing based on interaural intensity cues, deficits were less severe in the right hemispheric brain damage than left hemispheric brain damage group and no alloacusis occurred. These results, matched to anatomical data, suggest the existence of a binaural sound localization system predominantly based on interaural time difference cues and primarily supported by the right hemisphere. More generally, our data suggest that two distinct mechanisms contribute to: (i) the precise computation of spatial coordinates allowing spatial comparison within the contralateral hemispace for the left hemisphere and the whole space for the right hemisphere; and (ii) the building up of global auditory spatial representations in right temporo-parietal cortices.
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[Table des matières] 1. Introduction. 2. Méthode. 3. Théorie d'action et plan de monitorage des résultats des activités du Cipret (Centre d'information et de prévention du tabagisme) : priorités pour l'année 2008: Axe 1: Informer sur les conséquences de la consommation de tabac et sur la promotion de la santé. Axe 2: Contribuer à la cohérence de la politique de santé publique en matière de tabac. Axe 3: Diminuer le nombre de nouveaux fumeurs. Axe 4: Aider au sevrage du tabac. Annexes.
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In recent years, multi-atlas fusion methods have gainedsignificant attention in medical image segmentation. Inthis paper, we propose a general Markov Random Field(MRF) based framework that can perform edge-preservingsmoothing of the labels at the time of fusing the labelsitself. More specifically, we formulate the label fusionproblem with MRF-based neighborhood priors, as an energyminimization problem containing a unary data term and apairwise smoothness term. We present how the existingfusion methods like majority voting, global weightedvoting and local weighted voting methods can be reframedto profit from the proposed framework, for generatingmore accurate segmentations as well as more contiguoussegmentations by getting rid of holes and islands. Theproposed framework is evaluated for segmenting lymphnodes in 3D head and neck CT images. A comparison ofvarious fusion algorithms is also presented.
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The use of Geographic Information Systems has revolutionalized the handling and the visualization of geo-referenced data and has underlined the critic role of spatial analysis. The usual tools for such a purpose are geostatistics which are widely used in Earth science. Geostatistics are based upon several hypothesis which are not always verified in practice. On the other hand, Artificial Neural Network (ANN) a priori can be used without special assumptions and are known to be flexible. This paper proposes to discuss the application of ANN in the case of the interpolation of a geo-referenced variable.
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Early visual processing stages have been demonstrated to be impaired in schizophrenia patients and their first-degree relatives. The amplitude and topography of the P1 component of the visual evoked potential (VEP) are both affected; the latter of which indicates alterations in active brain networks between populations. At least two issues remain unresolved. First, the specificity of this deficit (and suitability as an endophenotype) has yet to be established, with evidence for impaired P1 responses in other clinical populations. Second, it remains unknown whether schizophrenia patients exhibit intact functional modulation of the P1 VEP component; an aspect that may assist in distinguishing effects specific to schizophrenia. We applied electrical neuroimaging analyses to VEPs from chronic schizophrenia patients and healthy controls in response to variation in the parafoveal spatial extent of stimuli. Healthy controls demonstrated robust modulation of the VEP strength and topography as a function of the spatial extent of stimuli during the P1 component. By contrast, no such modulations were evident at early latencies in the responses from patients with schizophrenia. Source estimations localized these deficits to the left precuneus and medial inferior parietal cortex. These findings provide insights on potential underlying low-level impairments in schizophrenia.
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RESUME : Dans ce travail effectué chez le rat adulte, l'excitotoxicité rétinienne est élicitée par injection intravitréenne de NMDA. Les lésions en résultant sont localisées dans la rétine interne. Elles prennent la forme de pycnoses dans la couche des cellules ganglionnaires (corps cellulaires des cellules ganglionnaires et amacrines déplacées) et dans la partie interne de la couche nucléaire interne (cellules amacrines). Cette localisation est liée à la présence de récepteurs au glutamate de type NMDA sur ces cellules. L'activation de ces récepteurs entraîne un influx calcique et l'activation de diverses enzymes (phospholipase A, calpaïnes, calmoduline, synthase d'oxyde nitrique). La signalisation se poursuit en aval en partie par les voies des Mitogen Activated Protein Kinase (MAPK) : ERK, p38, ]NK. Dans les expériences présentées, toutes trois sont activées après l'injection de NMDA. Dans les cascades de signalisation de JNK, trois kinases s'ancrent sur une protéine scaffold. Les MAPKKK phosphorylent MKK4 et MKK7, qui phosphorylent JNK. JNK a de nombreuses cibles nucléaires (dont le facteur de transcription c-Jun) et cytoplasmiques. La voie de JNK est bloquée par l'inhibiteur peptidique D-JNKI-1 en empêchant l'interaction de la kinase avec son substrat. L'inhibiteur est formé de 20 acides aminés du domaine de liaison JBD et de 10 acides aminés de la partie TAT du virus HIV. L'injection intravitréenne de D-JNKI-1 permet une diminution des taux de JNK et c-Jun phosphorylés dans les lysats de rétine. L'effet prépondérant est la restriction importante des altérations histologiques des couches internes de la rétine. L'évaluation par électrorétinogramme met en sus en évidence une sauvegarde de la fonction cellulaire. Ce travail a ainsi permis d'établir la protection morphologique et fonctionnelle des cellules de la rétine interne par inhibition spécifique de la voie de JNK lors d'excitotoxicité. SUMMARY Excitotoxicity in the retina associates with several pathologies like retinal ischemia, traumatic optic neuropathy and glaucoma. In this study, excitotoxicity is elicited by intravitreal NMDA injection in adult rats. Lesions localise in the inner retina. They present as pyknotic cells in the ganglion cell layer (ganglion cells and displaced amacrines) and the inner nuclear layer (amacrine cells). These cells express NMDA glutamate receptors. The receptor activation leads to a calcium flow into the cell and hence enzyme activation (phospholipase, calpains, calmodulin, nitric oxide synthase). The subsequent signaling pathways can involve the Mitogen Activated Protein Kinases (MAPK): ERK, p38 end JNK. These were all activated in our experiments. The signaling cascade organises around several scaffold proteins. The various MAPKKK phosphorylate MKK4 and MKK7, which phosphorylate JNK. JNK targets are of nuclear (c-Jun transcription factor) or cytoplasmic localisation. The peptidic inhibitor D-JNKI-1, 20 amino acids from the JNK binding domain JBD coupled to 10 amino acids of the TAT transporter, disrupts the binding of JNK with its substrate. Intravitreal injection of the inhibitor lowers phosphorylated forms of JNK and c-Jun in retinal extracts. It protects strongly against histological lesions in the inner retina and allows functional rescue.