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Atlas-based data integration for mapping the connections and architecture of the brain

Leergaard, Trygve B. ; Bjaalie, Jan G.

Science (American Association for the Advancement of Science), 2022-11, Vol.378 (6619), p.488-492 [Periódico revisado por pares]

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Título:
Atlas-based data integration for mapping the connections and architecture of the brain
Autor: Leergaard, Trygve B. ; Bjaalie, Jan G.
Assuntos: Brain architecture ; Data integration
É parte de: Science (American Association for the Advancement of Science), 2022-11, Vol.378 (6619), p.488-492
Notas: ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-3
content type line 23
ObjectType-Review-1
EC/HEU/945539
Descrição: Detailed knowledge about the neural connections among regions of the brain is key for advancing our understanding of normal brain function and changes that occur with aging and disease. Researchers use a range of experimental techniques to map connections at different levels of granularity in rodent animal models, but the results are often challenging to compare and integrate. Three-dimensional reference atlases of the brain provide new opportunities for cumulating, integrating, and reinterpreting research findings across studies. Here, we review approaches for integrating data describing neural connections and other modalities in rodent brain atlases and discuss how atlas-based workflows can facilitate brainwide analyses of neural network organization in relation to other facets of neuroarchitecture.
Editor: Washington: The American Association for the Advancement of Science
Idioma: Inglês;Norueguês

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