Radiomicrobiomics: Advancing Along the Gut-brain Axis Through Big Data Analysis.
advanced MRI
big data
gut-brain axis
machine learning
microbiota
radiomicrobiomics
Journal
Neuroscience
ISSN: 1873-7544
Titre abrégé: Neuroscience
Pays: United States
ID NLM: 7605074
Informations de publication
Date de publication:
01 04 2019
01 04 2019
Historique:
received:
01
08
2017
revised:
29
11
2017
accepted:
30
11
2017
pubmed:
15
12
2017
medline:
10
7
2019
entrez:
15
12
2017
Statut:
ppublish
Résumé
The gut-brain axis communicates the brain with the gut microbiota, a bidirectional conduit that has received increasing attention in recent years thanks to its emerging role in brain development and function. Alterations in microbiota composition have been associated to neurological and psychiatric disorders, and several studies suggest that the immune system plays a fundamental role in the gut-brain interaction. Recent advances in brain imaging and in microbiome sequencing have generated a large amount of information, yet the data from both these sources need to be combined efficiently to extract biological meaning, and any diagnostic and/or prognostic benefit from these tools. In addition, the causal nature of the gut-brain interaction remains to be fully established, and preclinical findings translated to humans. In this "Perspective" article, we discuss recent efforts to combine data on the gut microbiota with the features that can be obtained from the conversion of brain images into mineable data. The subsequent analysis of these data for diagnostic and prognostic purposes is an approach we call radiomicrobiomics and it holds tremendous potential to enhance our understanding of this fascinating connection.
Identifiants
pubmed: 29237568
pii: S0306-4522(17)30876-X
doi: 10.1016/j.neuroscience.2017.11.055
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
145-149Informations de copyright
Copyright © 2017 IBRO. Published by Elsevier Ltd. All rights reserved.