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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2018
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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 |
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. |
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