Topological principles and developmental algorithms might refine diffusion tractography.

Details

Ressource 1Download: 30264235_BIB_69CE3C97C960.pdf (1961.19 [Ko])
State: Public
Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_69CE3C97C960
Type
Article: article from journal or magazin.
Publication sub-type
Review (review): journal as complete as possible of one specific subject, written based on exhaustive analyses from published work.
Collection
Publications
Title
Topological principles and developmental algorithms might refine diffusion tractography.
Journal
Brain structure & function
Author(s)
Innocenti G.M., Dyrby T.B., Girard G., St-Onge E., Thiran J.P., Daducci A., Descoteaux M.
ISSN
1863-2661 (Electronic)
ISSN-L
1863-2653
Publication state
Published
Issued date
01/2019
Peer-reviewed
Oui
Volume
224
Number
1
Pages
1-8
Language
english
Notes
Publication types: Journal Article ; Review
Publication Status: ppublish
Abstract
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.
Keywords
Algorithms, Animals, Axons/physiology, Brain/diagnostic imaging, Brain/growth & development, Brain Mapping/methods, Diffusion Tensor Imaging/methods, Humans, Image Interpretation, Computer-Assisted/methods, Models, Neurological, Neural Pathways/diagnostic imaging, Neural Pathways/growth & development, Neurogenesis, Neuroimaging/methods, Predictive Value of Tests, Axons, Brain development, Brain pathways, Diffusion MRI, Tractography
Pubmed
Web of science
Open Access
Yes
Create date
04/11/2018 17:20
Last modification date
20/08/2019 15:24
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