High-resolution magnetic resonance imaging-based atlases for the young and adolescent domesticated pig (Sus scrofa).


Journal

Journal of neuroscience methods
ISSN: 1872-678X
Titre abrégé: J Neurosci Methods
Pays: Netherlands
ID NLM: 7905558

Informations de publication

Date de publication:
15 04 2021
Historique:
received: 02 07 2020
revised: 22 02 2021
accepted: 25 02 2021
pubmed: 7 3 2021
medline: 1 7 2021
entrez: 6 3 2021
Statut: ppublish

Résumé

Neurodevelopmental studies utilize the pig as a translational animal model due to anatomical and morphological similarities between the pig and human brain. However, neuroimaging resources are not as well developed for the pig as they are for humans and other animal models. We established a magnetic resonance imaging-based brain atlas at two different ages for biomedical studies utilizing the pig as a preclinical model. Twenty artificially-reared domesticated male pigs (Sus scrofa) and thirteen sow-reared adolescent domesticated male pigs (Sus scrofa) underwent a series of scans measuring brain macrostructure, microstructure, and arterial cerebral blood volume. An atlas for the 4-week-old and 12-week-old pig were created along with twenty-six regions of interest. Normative data for brain measures were obtained and detailed descriptions of the data processing pipelines were provided. Atlases at the two different ages were created for the pig utilizing newer imaging technology and software. This facilitates the performance of longitudinal studies and enables more precise volume measurements in pigs of various ages by appropriately representing the neuroanatomical features of younger and older pigs and accommodating the proportion differences of the brain over time. Two high-resolution MRI brain atlases specific to the domesticated young and adolescent pig were created using defined image acquisition and data processing methods to facilitate the generation of high-quality normative data for neurodevelopmental research.

Sections du résumé

BACKGROUND
Neurodevelopmental studies utilize the pig as a translational animal model due to anatomical and morphological similarities between the pig and human brain. However, neuroimaging resources are not as well developed for the pig as they are for humans and other animal models. We established a magnetic resonance imaging-based brain atlas at two different ages for biomedical studies utilizing the pig as a preclinical model.
NEW METHOD
Twenty artificially-reared domesticated male pigs (Sus scrofa) and thirteen sow-reared adolescent domesticated male pigs (Sus scrofa) underwent a series of scans measuring brain macrostructure, microstructure, and arterial cerebral blood volume.
RESULTS
An atlas for the 4-week-old and 12-week-old pig were created along with twenty-six regions of interest. Normative data for brain measures were obtained and detailed descriptions of the data processing pipelines were provided.
COMPARISON WITH EXISTING METHOD
Atlases at the two different ages were created for the pig utilizing newer imaging technology and software. This facilitates the performance of longitudinal studies and enables more precise volume measurements in pigs of various ages by appropriately representing the neuroanatomical features of younger and older pigs and accommodating the proportion differences of the brain over time.
CONCLUSION
Two high-resolution MRI brain atlases specific to the domesticated young and adolescent pig were created using defined image acquisition and data processing methods to facilitate the generation of high-quality normative data for neurodevelopmental research.

Identifiants

pubmed: 33675840
pii: S0165-0270(21)00042-X
doi: 10.1016/j.jneumeth.2021.109107
pii:
doi:

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

109107

Informations de copyright

Copyright © 2021 The Author(s). Published by Elsevier B.V. All rights reserved.

Auteurs

Joanne E Fil (JE)

Piglet Nutrition & Cognition Laboratory, University of Illinois, Urbana, IL, 61801, USA; Neuroscience Program, University of Illinois, Urbana, IL, 61801, USA.

Sangyun Joung (S)

Piglet Nutrition & Cognition Laboratory, University of Illinois, Urbana, IL, 61801, USA; Neuroscience Program, University of Illinois, Urbana, IL, 61801, USA.

Benjamin J Zimmerman (BJ)

Neuroscience Program, University of Illinois, Urbana, IL, 61801, USA; Beckman Institute for Advances Science & Technology, University of Illinois, Urbana, IL, 61801, USA.

Bradley P Sutton (BP)

Neuroscience Program, University of Illinois, Urbana, IL, 61801, USA; Department of Bioengineering, University of Illinois, Urbana, IL, 61801, USA; Beckman Institute for Advances Science & Technology, University of Illinois, Urbana, IL, 61801, USA.

Ryan N Dilger (RN)

Piglet Nutrition & Cognition Laboratory, University of Illinois, Urbana, IL, 61801, USA; Neuroscience Program, University of Illinois, Urbana, IL, 61801, USA; Department of Animal Sciences, University of Illinois, Urbana, IL, 61801, USA; Division of Nutritional Sciences, University of Illinois, Urbana, IL, 61801, USA. Electronic address: rdilger2@illinois.edu.

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Classifications MeSH