Academic literature on the topic 'Structures cérébrales'
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Journal articles on the topic "Structures cérébrales"
MENANT, O., A. DESTREZ, V. DEISS, A. BOISSY, P. DELAGRANGE, L. CALANDREAU, and Elodie CHAILLOU. "Régulation des émotions chez l’animal d’élevage : focus sur les acteurs neurobiologiques." INRA Productions Animales 29, no. 4 (December 13, 2019): 241–54. http://dx.doi.org/10.20870/productions-animales.2016.29.4.2966.
Full textPsomiades, Marion, Clara Fonteneau, Marie-Françoise Suaud-Chagny, Frédéric Haesebaert, and Jérôme Brunelin. "Neurostimulation du cortex préfrontal dorsolatéral : quels effets sur la symptomatologie, l’humeur et les émotions dans la dépression et la schizophrénie ?" Santé mentale au Québec 41, no. 1 (July 5, 2016): 223–39. http://dx.doi.org/10.7202/1036972ar.
Full textEtievent, G., C. Boutet, S. Duband, and F. G. Barral. "Modifications post-mortem des structures cérébrales en imagerie médicale." Journal of Neuroradiology 41, no. 1 (March 2014): 14–15. http://dx.doi.org/10.1016/j.neurad.2014.01.040.
Full textFerveur, JF. "Attraction sexuelle et structures cérébrales chez les mâles Drosophila melanogaster." médecine/sciences 11, no. 5 (1995): 767. http://dx.doi.org/10.4267/10608/2276.
Full textBoisgontier, Matthieu, Boris Cheval, Peter Van Ruitenbeek, Sima Chalavi, Inge Leu-Nissen, Oron Levin, Alice Nieuwboer, and Stephan Swinnen. "Structures cérébrales prédictives de la performance posturale des adultes jeunes et âgés." Neurophysiologie Clinique/Clinical Neurophysiology 46, no. 4-5 (November 2016): 247–48. http://dx.doi.org/10.1016/j.neucli.2016.09.027.
Full textBourriez, J. L., J. M. Jacquesson, P. Derambure, and J. D. Guieu. "Caractérisation des relations fonctionnelles entre structures cérébrales : du linéaire au non linéaire." Neurophysiologie Clinique/Clinical Neurophysiology 32, no. 3 (June 2002): 147–55. http://dx.doi.org/10.1016/s0987-7053(02)00305-2.
Full textBoulet-Craig, Aubrée, Philippe Robaey, Maja Krajinovic, Caroline Laverdière, Daniel Sinnett, Serge Sultan, and Sarah Lippé. "DÉVELOPPEMENT NEUROCOGNITIF ET CÉRÉBRAL DES SURVIVANTS À LONG TERME DE LA LEUCÉMIE LYMPHOBLASTIQUE AIGUË." Revue québécoise de psychologie 37, no. 2 (June 7, 2017): 43–63. http://dx.doi.org/10.7202/1040037ar.
Full textLavoie, Marc E., Julie Champagne, Emma Glaser, and Adrianna Mendrek. "Mémoire émotionnelle et activités électrocorticales en schizophrénie." Santé mentale au Québec 41, no. 1 (July 5, 2016): 85–121. http://dx.doi.org/10.7202/1036967ar.
Full textRmeily, M., O. Baledent, L. Fin, V. Moullart, P. Bailly, and M. E. Meyer. "Cinétiques de la fixation du 18F-FDG dans les structures cérébrales : faisabilité et résultats préliminaires." Médecine Nucléaire 33, no. 2 (February 2009): 69–77. http://dx.doi.org/10.1016/j.mednuc.2008.10.011.
Full textKhazaal, Yasser, Jacques Cornuz, and Daniele Zullino. "Les troubles anxieux sont-ils associés à un tabagisme particulier ?" Santé mentale au Québec 29, no. 1 (August 18, 2004): 73–80. http://dx.doi.org/10.7202/008821ar.
Full textDissertations / Theses on the topic "Structures cérébrales"
Peiffer, Elsa. "Implications des structures cérébrales profondes dans les apprentissages procéduraux." Lyon 1, 2000. http://www.theses.fr/2000LYO1T267.
Full textPitiot, Alain. "Segmentation Automatique des Structures Cérébrales s'appuyant sur des Connaissances Explicites." Phd thesis, École Nationale Supérieure des Mines de Paris, 2003. http://pastel.archives-ouvertes.fr/pastel-00001346.
Full textCaldairou, Benoît. "Contributions à la segmentation des structures cérébrales en IRM foetale." Phd thesis, Université de Strasbourg, 2012. http://tel.archives-ouvertes.fr/tel-00747860.
Full textLachmann, Frédéric. "Méthodes d'analyse d'images médicales pour la reconnaissance de structures cérébrales." Tours, 1992. http://www.theses.fr/1992TOUR3301.
Full textPitiot, Alain. "Segmentation automatique des structures cérébrales s'appuyant sur des connaissances cxplicites." Paris, ENMP, 2003. https://pastel.archives-ouvertes.fr/pastel-00001346.
Full textWe propose in this thesis an automated segmentation and registration system for medical images. We have focused on devisinga methodology where maximum use is made of the available a priori medical expertise. We approach the issue of boundary finding as a process of fitting a group of deformable templates to the contours of the target structures. Those templates evolve in parallel under the supervision of a series of rules derived from the analysis of both the template's dynamics and medical experience. We subject the templates to a variety of constraints also designed based on prior medical knowledge about the textural and shape properties of the target structures. Textural information is extracted by a non-linear classifier in the form of a 2-stage neural network whose hybrid architecture and dynamic learning phase help produce a better classification map. An original learning approach to the dense matching of n-D objects enables the introduction of prior knowledge in the computation of shape models for the target structures. We also introduce a novel shape descriptor, the observed transport descriptor, whose noise robustness and enhanced discriminating power make it a good candidate for our matching strategy. Finally, a more faithful model of the transformations induced by histological processes, the piecewise affine approach, allows the design of a biomedical registration algorithm better suited to the reconstruction of 3-D histological volumes, a first step towards hybrid combined MRI/histology atlases
Dufour, Alice. "Segmentation et modélisation des structures vasculaires cérébrales en imagerie médicale 3D." Thesis, Strasbourg, 2013. http://www.theses.fr/2013STRAD050/document.
Full textAngiographie images are useful data for several tasks, e.g., diagnosis, pathology follow-up or surgery planning. However, due to low SNR (noise,artifacts), and complex semantic content (sparseness), angiographie image analysis is a time consurning and error prone task. These consideration have motivated the development of numerous vesse! filtering, segmentation, or modeling techinques.This thesis is organized around two research areas : the segmentation anù the moùeling. Segmentation of cerebral vascular networks from 3D angiographie data remains a challenge. Automation generally induces a high computational cost and possible errors, white interactive methods are hard to use due to the dimension and the complexity of images. This thesis presents a compromise between both approaches by using the concept of example-based segmentation. This strategy, which uses component-trees in a non-standard fashion, leads to promising results, when applied on cerebral MR angiographie data. The generation of cerebrovascular atlases remains a complex and infrequently considered issue. The existing approaches rely on information exclusively related to the vessels. This thesis investigate a new way, consisting of using both vascular and morphological information (i.e. Cerebral structures) to improve the accuracy and relevance of the obtaines vascular atlases. Experiments emphasize improvments in the main steps of the atlas generation process impacted by the use of the morphological information. An example of cerebrovascular atlas obtained from a dataset of MRAs acquired form different acquisition devices has been provided
Sarron, Jean-Claude. "Comportement mécanique des structures cérébrales sous hypergravité : modélisation par la méthode des éléments finis." Paris 12, 1996. http://www.theses.fr/1996PA120024.
Full textLe, Goualher Georges. "Modélisation de structures anatomiques cérébrales pour l'aide à l'interprétation d'images médicales et à la fusion des données." Rennes 1, 1997. http://www.theses.fr/1997REN10010.
Full textMartin, André. "Structures cérébrales et unité fonctionnelle de la conscience : la conscience à la lumière des découvertes scientifiques récentes." Montpellier 3, 2001. http://www.theses.fr/2001MON30035.
Full textPerrin, Gaëlle. "Le comportement maternel et la reconnaissance du jeune chez les ovins : structures cérébrales et processus mnésiques impliqués." Tours, 2007. http://www.theses.fr/2007TOUR4011.
Full textThe aim of this work is to investigate the brain sites involved in the onset and the maintenance of maternal behaviour as well as in selectivity, and to characterize the memory processes involved in offspring recognition (consolidation and reconsolidation). We showed the involvement of the MPOA and to a lesser extent of the BNST in maternal responsiveness, and the involvement of the cortical and the medial nuclei of the amygdala in recognition of the familiar lamb. We also showed the existence of a protein synthesis dependent process of reconsolidation of the lamb’s characteristics, but not of a protein synthesis dependent process of consolidation. Overall, these results indicate that maternal responsiveness and selectivity are controlled by distinct neural networks and that a social memory can undergo a reconsolidation process
Books on the topic "Structures cérébrales"
Naidich, Thomas P. Duvernoy’s Atlas of the Human Brain Stem and Cerebellum: High-Field MRI: Surface Anatomy, Internal Structure, Vascularization and 3D Sectional Anatomy. Vienna: Springer Vienna, 2009.
Find full textBook chapters on the topic "Structures cérébrales"
Auféril, Hélène. "Éducation Spécialisée et Structures Extra-Hospitalières." In Les infirmités motrices cérébrales, 423–54. Elsevier, 2008. http://dx.doi.org/10.1016/b978-2-294-61193-3.50011-5.
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