MRI monitoring of macaque monkeys in neuroscience: case studies, resource and normative data comparisons

Balezeau, F. et al. (2021) MRI monitoring of macaque monkeys in neuroscience: case studies, resource and normative data comparisons. NeuroImage, 230, 117778. (doi: 10.1016/j.neuroimage.2021.117778) (PMID:33497775) (PMCID:PMC8063182)

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Abstract

Information from Magnetic Resonance Imaging (MRI) is useful for diagnosis and treatment management of human neurological patients. MRI monitoring might also prove useful for non-human animals involved in neuroscience research provided that MRI is available and feasible and that there are no MRI contra-indications precluding scanning. However, MRI monitoring is not established in macaques and a resource is urgently needed that could grow with scientific community contributions. Here we show the utility and potential benefits of MRI-based monitoring in a few diverse cases with macaque monkeys. We also establish a PRIMatE MRI Monitoring (PRIME-MRM) resource within the PRIMatE Data Exchange (PRIME-DE) and quantitatively compare the cases to normative information drawn from MRI data from typical macaques in PRIME-DE. In the cases, the monkeys presented with no or mild/moderate clinical signs, were well otherwise and MRI scanning did not present a significant increase in welfare impact. Therefore, they were identified as suitable candidates for clinical investigation, MRI-based monitoring and treatment. For each case, we show MRI quantification of internal controls in relation to treatment steps and comparisons with normative data in typical monkeys drawn from PRIME-DE. We found that MRI assists in precise and early diagnosis of cerebral events and can be useful for visualising, treating and quantifying treatment response. The scientific community could now grow the PRIME-MRM resource with other cases and larger samples to further assess and increase the evidence base on the benefits of MRI monitoring of primates, complementing the animals’ clinical monitoring and treatment regime.

Item Type:Articles
Additional Information:This work was supported by Wellcome Trust (TDG: WT091681MA; CIP: WT092606AIA); U.K. Biotechnology and Biological Sciences Research Council (CIP: BB/J009849/1); National Institutes of Health (MH III, TDG and CIP: R01-DC04290); and European Research Council (CIP: ERC CoG, Consolidator Grant, MECHIDENT 724198).
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Muers, Dr Ross
Creator Roles:
Muers, R. S.Methodology, Writing – review and editing
Authors: Balezeau, F., Nacef, J., Kikuchi, Y., Schneider, F., Rocchi, F., Muers, R. S., Fernandez-Palacios O'Connor, R., Blau, C., Wilson, B., Saunders, R. C., Howard III, M., Thiele, A., Griffiths, T. D., Petkov, C. I., and Murphy, K.
College/School:College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience
Journal Name:NeuroImage
Publisher:Elsevier
ISSN:1053-8119
ISSN (Online):1095-9572
Published Online:23 January 2021
Copyright Holders:Copyright © 2021 The Authors
First Published:First published in NeuroImage 230: 117778
Publisher Policy:Reproduced under a Creative Commons License

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