A primer on investigating the role of the microbiome in brain and cognitive development.


Journal

Developmental psychobiology
ISSN: 1098-2302
Titre abrégé: Dev Psychobiol
Pays: United States
ID NLM: 0164074

Informations de publication

Date de publication:
04 2019
Historique:
received: 25 03 2018
revised: 03 08 2018
accepted: 13 08 2018
pubmed: 14 10 2018
medline: 20 8 2019
entrez: 14 10 2018
Statut: ppublish

Résumé

Incorporating information regarding the gut microbiota into psychobiological research promises to shed new light on how individual differences in brain and cognitive development emerge. However, the investigation of the gut-brain axis in development is still in its infancy and poses several challenges, including data analysis. Considering that the gut microbiome is an eco-system containing millions of bacteria, one needs to utilize a breadth of methodologies and data analytic techniques. The present review serves two purposes. First, this review will inform developmental psychobiology researchers about the emerging study of the gut-brain axis in development and second, this review will propose methodologies and data analytic strategies for integrating microbiome data in developmental research.

Identifiants

pubmed: 30315569
doi: 10.1002/dev.21778
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Review

Langues

eng

Pagination

341-349

Subventions

Organisme : National Institute for Nursing Research
ID : 1F31NR01782101A1
Pays : International

Informations de copyright

© 2018 Wiley Periodicals, Inc.

Auteurs

Caroline Kelsey (C)

Department of Psychology, University of Virginia, Charlottesville, Virginia.

Caitlin Dreisbach (C)

Data Science Institute, University of Virginia, Charlottesville, Virginia.
School of Nursing, University of Virginia, Charlottesville, Virginia.

Jeanne Alhusen (J)

School of Nursing, University of Virginia, Charlottesville, Virginia.

Tobias Grossmann (T)

Department of Psychology, University of Virginia, Charlottesville, Virginia.

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Classifications MeSH