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Auteur (up) Bonaconsa, M.; Colavito, V.; Pifferi, F.; Aujard, F.; Schenker, E.; Dix, S.; Grassi-Zucconi, G.; Bentivoglio, M.; Bertini, G. openurl 
  Titre Cell Clocks and Neuronal Networks: Neuron Ticking and Synchronization in Aging and Aging-Related Neurodegenerative Disease Type Article scientifique
  Année 2013 Publication Current Alzheimer Research Revue Abrégée  
  Volume 10 Numéro 6 Pages 597-608  
  Résumé Body function rhythmicity has a key function for the regulation of internal timing and adaptation to the environment. A wealth of recent data has implicated endogenous biological rhythm generation and regulation in susceptibility to disease, longevity, cognitive performance. Concerning brain diseases, it has been established that many molecular pathways implicated in neurodegeneration are under circadian regulation. At the molecular level, this regulation relies on clock genes forming interconnected, self-sustained transcriptional/translational feedback loops. Cells of the master circadian pacemaker, the hypothalamic suprachiasmatic nucleus, are endowed with this molecular clockwork. Brain cells in many other regions, including those which play a key role in learning and memory, as well as peripheral cells show a circadian oscillatory behavior regulated by the same molecular clockwork. We here address the question as to whether intracellular clockwork signaling and/or the intercellular dialogue between “brain clocks” are disrupted in aging-dependent neurodegenerative diseases, such as Parkinson's disease and Alzheimer's disease. The potential implications of clock genes in cognitive functions in normal conditions, clinical disturbances of circadian rhythms, and especially the sleep-wake cycle, in aging-dependent neurodegenerative diseases and data in animal models are reviewed. The currently limited knowledge in this field is discussed in the context of the more extensive body of data available on cell clocks and molecular clockwork during normal aging. Hypotheses on implications of the synchronization between brain oscillators in information processing in neural networks lay ground for future studies on brain health and disease.  
  Auteur institutionnel Thèse  
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  Langue Langue du Résumé Titre Original  
  Éditeur de collection Titre de collection Titre de collection Abrégé  
  Volume de collection Numéro de collection Edition  
  ISSN 1567-2050 ISBN Médium  
  Région Expédition Conférence  
  Notes WOS:000322760800005 Approuvé pas de  
  Numéro d'Appel CNRS @ pifferi @ collection 181  
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