Rethinking the Cognitive Mechanisms Underlying Pantomime of Tool Use: Evidence from Alzheimer's Disease and Semantic Dementia

OBJECTIVES: Pantomiming the use of familiar tools is a central test in the assessment of apraxia. However, surprisingly, the nature of the underlying cognitive mechanisms remains an unresolved issue. The aim of this study is to shed a new light on this issue by exploring the role of functional, mechanical, and manipulation knowledge in patients with Alzheimer\u27s disease and semantic dementia and apraxia of tool use. METHODS: We performed multiple regression analyses with the global performance and the nature of errors (i.e., production and conception) made during a pantomime of tool use task in patients and control participants as dependent variables and tasks investigating functional, mechanical, and manipulation knowledge as predictors. RESULTS: We found that mechanical problem solving, assessing mechanical knowledge, was a good predictor of the global performance of pantomime of tool use. We also found that occurrence of conception errors was robustly predicted by the task assessing functional knowledge whereas that of production errors was not explained by only one predictor. CONCLUSIONS: Our results suggest that both functional and mechanical knowledge are important to pantomime the use of tools. To our knowledge, this is the first demonstration that mechanical knowledge plays a role in pantomime of tool use. Although impairment in pantomime of tool use tasks (i.e., apraxia) is widely explained by the disruption of manipulation knowledge, we propose that pantomime of tool use is a complex problem-solving task. (JINS, 2017, 23, 128-138)

A quantitative morphological analysis of nanostructured ceria-silica composite catalysts

International audienceThis study aims at examining the morphology of different catalysts, which are based on a dispersion of ceria nanoparticles embedded in a high surface area mesoporous silica framework. In order to fully describe the mesostructured composite material, we propose here a quantitative description of the microstructure based on a quantitative analysis of micrographs that were obtained via high-resolution transmission electron microscopy. We have therefore developed an automatic image analysis process in order to automatically and efficiently extract all the components of the catalyst images. A statistical and a morphological analysis of the spatial arrangement of the components of the catalyst are also presented. The study shows clear differences between the materials analysed in terms of the spatial arrangement and the total surface area of the ceria phase emerging into the pores, parameters of prime importance for the catalytic properties. Thus, the silica-ceria nanostructured composite materials, displaying large surface area up to 300 m2 g−1 are shown to exhibit highly rugged surfaces resulting from ceria nanoparticles emerging in the pores

Quantification of Hydrocarbons in Gas Oils by GCxGC-VUV: Comparison with Other Techniques

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Ethics consultation unit in nephrology (UCEN): Review of 10 years of operation in the Grenoble area

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What bilateral damage of the superior parietal lobes tells us about visual attention disorders in developmental dyslexia

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Gas chromatography vacuum ultraviolet spectroscopy: A review

RMN+ECI2D+ALL:CLO:CGEInternational audiencecomprehensive gas chromatograph

Creutzfeldt-Jakob disease mimicking corticobasal degeneration clinical and MRI data of a case.

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Impact of citric acid on the impregnation of CoMoP/γ-Al 2 O 3 catalysts: time and spatially resolved MRI and Raman Imaging study

International audienceAn in-situ characterization methodology based on the Magnetic Resonance Imaging (MRI) and Raman Imaging is applied to investigate the effect of citric acid in the impregnation step of molybdenum catalysts promoted with cobalt in the presence of phosphorus and support on γ-alumina. MRI provides temporal and spatial information of the transport of species of the impregnation solutions within the porosity with a spatial resolution of 39×39µm. Raman Imaging gives information about the chemical nature of the species deposited on the support with a spatial resolution of 16.2×16.2µm. The effect of citric acid strongly depends on the ratio between the additive and molybdenum used in the impregnation solution. For a ratio of 0.2, at the end of impregnation, molybdenum ions are in an egg-yolk distribution either in polymeric or monomeric form. For a ratio of 0.7, cobalt ions can be in the form of aqua complexes in an egg-yolk distribution or in the form of H 2 PMo 11 CoO 40 5-heteropolyanion, which can improve the proximity between molybdenum and cobalt ions. This work gives new insights concerning the role of citric acid on the metal distribution profiles obtained at the end of impregnation, which can be used to control the final active phase distribution

Investigation of the 3D crystalline network impact on the elastic properties of semi-crystalline polymers from a multi-scale modelling approach

International audienceNowadays, computational resources allow carrying out mechanical calculations on complex multi-scale materials. Finite Element (FE) calculations can especially be directly performed on microstructures of materials. This work is a first attempt to analyse the impact of the crystalline architecture at a mesoscopic scale on the macroscopic elastic properties of Semi-Crystalline Polymers (SCP). Such polymers can be considered biphasic materials, which are composed of an amorphous phase embedded in a crystalline network. The material studied here is Polyethylene (PE). Molecular Dynamics (MD) calculations are carried out on a 100% crystallized Polyethylene model to determine the elastic properties of the crystalline regions of the material. 3D mesostructures of the typical layout of the spherulitic crystalline network of Semi-Crystalline Polymers are then constructed from experimental observations. These material data and this geometrical description are then integrated in computations with the Finite Element method on elementary volumes to finally determine the macroscopic elastic properties of the material. In this work, which is a first attempt to test such a multi-scale workflow, no amorphous phase is considered. Different 3D architectures are compared demonstrating the role of the crystalline arrangement on the stiffness of the material. Three main types of mesostructures have been analysed: crystalline lamellae disposed in a complete random arrangement, crystalline lamellae disposed in a spherulite arrangement, crystalline lamellae with branches disposed in a spherulite arrangement. It appears that the 3D configuration of the lamellae, as well as the presence of branches, have an influence on the macroscopic elastic properties of the material. Then, comparisons with experimental data suggest that the macroscopic elastic properties can be represented with a purely cohesive crystalline network for crystalline degree up to about 50%. This result questions the role of the amorphous phase on the elastic properties of such systems

Particularités du variant logopénique au sein des aphasies progressives primaires [Specificities of the logopenic variant of primary progressive aphasia].

The logopenic variant of primary progressive aphasia is a syndrome with neuropsychological and linguistic specificities, including phonological loop impairment for which diagnosis is currently mainly based on the exclusion of the two other variants, semantic and nonfluent/agrammatic primary progressive aphasia. The syndrome may be underdiagnosed due (1) to mild language difficulties during the early stages of the disease or (2) to being mistaken for mild cognitive impairment or Alzheimer's disease when the evaluation of episodic memory is based on verbal material and (3) finally, it is not uncommon that the disorders are attributed to psychiatric co-morbidities such as, for example, anxiety. Moreover, compared to other variants of primary progressive aphasia, brain abnormalities are different. The left temporoparietal junction is initially affected. Neuropathology and biomarkers (cerebrospinal fluid, molecular amyloid nuclear imaging) frequently reveal Alzheimer's disease. Consequently this variant of primary progressive aphasia does not fall under the traditional concept of frontotemporal lobar degeneration. These distinctive features highlight the utility of correct diagnosis, classification, and use of biomarkers to show the neuropathological processes underlying logopenic primary progressive aphasia. The logopenic variant of primary progressive aphasia is a specific form of Alzheimer's disease frequently presenting a rapid decline; specific linguistic therapies are needed. Further investigation of this syndrome is needed to refine screening, improve diagnostic criteria and better understand the epidemiology and the biological mechanisms involved