The future of human cerebral cartography: a novel approach.
Détails
Télécharger: BIB_5CAC6BE30DDF.P001.pdf (2686.76 [Ko])
Etat: Public
Version: Final published version
Etat: Public
Version: Final published version
ID Serval
serval:BIB_5CAC6BE30DDF
Type
Article: article d'un périodique ou d'un magazine.
Sous-type
Synthèse (review): revue aussi complète que possible des connaissances sur un sujet, rédigée à partir de l'analyse exhaustive des travaux publiés.
Collection
Publications
Institution
Titre
The future of human cerebral cartography: a novel approach.
Périodique
Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
ISSN
1471-2970 (Electronic)
ISSN-L
0962-8436
Statut éditorial
Publié
Date de publication
2015
Peer-reviewed
Oui
Volume
370
Numéro
1668
Pages
1-13
Langue
anglais
Résumé
Cerebral cartography can be understood in a limited, static, neuroanatomical sense. Temporal information from electrical recordings contributes information on regional interactions adding a functional dimension. Selective tagging and imaging of molecules adds biochemical contributions. Cartographic detail can also be correlated with normal or abnormal psychological or behavioural data. Modern cerebral cartography is assimilating all these elements. Cartographers continue to collect ever more precise data in the hope that general principles of organization will emerge. However, even detailed cartographic data cannot generate knowledge without a multi-scale framework making it possible to relate individual observations and discoveries. We propose that, in the next quarter century, advances in cartography will result in progressively more accurate drafts of a data-led, multi-scale model of human brain structure and function. These blueprints will result from analysis of large volumes of neuroscientific and clinical data, by a process of reconstruction, modelling and simulation. This strategy will capitalize on remarkable recent developments in informatics and computer science and on the existence of much existing, addressable data and prior, though fragmented, knowledge. The models will instantiate principles that govern how the brain is organized at different levels and how different spatio-temporal scales relate to each other in an organ-centred context.
Mots-clé
Brain Diseases/classification, Brain Mapping/methods, Cerebral Cortex/anatomy & histology, Cerebral Cortex/physiology, Humans, Research Design
Pubmed
Open Access
Oui
Création de la notice
21/06/2016 20:24
Dernière modification de la notice
20/08/2019 14:15