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Topological principles and developmental algorithms might refine diffusion tractography

The identification and reconstruction of axonal pathways in the living brain or “ex-vivo” is promising a revolution in connectivity studies bridging the gap from animal to human neuroanatomy with extensions to brain structural–functional correlates. Unfortunately, the methods suffer from juvenile dr...

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Detalles Bibliográficos
Autores principales: Innocenti, Giorgio M., Dyrby, Tim B., Girard, Gabriel, St-Onge, Etienne, Thiran, Jean-Philippe, Daducci, Alessandro, Descoteaux, Maxime
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6373358/
https://www.ncbi.nlm.nih.gov/pubmed/30264235
http://dx.doi.org/10.1007/s00429-018-1759-1
Descripción
Sumario:The identification and reconstruction of axonal pathways in the living brain or “ex-vivo” is promising a revolution in connectivity studies bridging the gap from animal to human neuroanatomy with extensions to brain structural–functional correlates. Unfortunately, the methods suffer from juvenile drawbacks. In this perspective paper we mention several computational and developmental principles, which might stimulate a new generation of algorithms and a discussion bridging the neuroimaging and neuroanatomy communities. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00429-018-1759-1) contains supplementary material, which is available to authorized users.