Structural connectomics in brain diseases.

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State: Public
Version: author
Serval ID
serval:BIB_FE787F507FBB
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Structural connectomics in brain diseases.
Journal
Neuroimage
Author(s)
Griffa A., Baumann P.S., Thiran J.P., Hagmann P.
ISSN
1095-9572 (Electronic)
ISSN-L
1053-8119
Publication state
Published
Issued date
2013
Peer-reviewed
Oui
Volume
80
Pages
515-526
Language
english
Notes
Publication types: Journal Article Publication Status: ppublish
Abstract
Imaging the connectome in vivo has become feasible through the integration of several rapidly developing fields of science and engineering, namely magnetic resonance imaging and in particular diffusion MRI on one side, image processing and network theory on the other side. This framework brings in vivo brain imaging closer to the real topology of the brain, contributing to narrow the existing gap between our understanding of brain structural organization on one side and of human behavior and cognition on the other side. Given the seminal technical progresses achieved in the last few years, it may be ready to tackle even greater challenges, namely exploring disease mechanisms. In this review we analyze the current situation from the technical and biological perspectives. First, we critically review the technical solutions proposed in the literature to perform clinical studies. We analyze for each step (i.e. MRI acquisition, network building and network statistical analysis) the advantages and potential limitations. In the second part we review the current literature available on a selected subset of diseases, namely, dementia, schizophrenia, multiple sclerosis and others, and try to extract for each disease the common findings and main differences between reports.
Pubmed
Web of science
Create date
08/09/2013 10:10
Last modification date
20/08/2019 17:29
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