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A novel approach to the assessment of higher-order rule learning in male mice

Historically, the development of valid and reliable methods for assessing higher-order cognitive abilities (e.g., rule learning and transfer) has been difficult in rodent models. To date, limited evidence supports the existence of higher cognitive abilities such as rule generation and complex decisi...

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Autores principales: Chasse, Renee Y., Perrino, Peter A., McLeod, Ruth M., Altmann, Gerry T.M., Fitch, R. Holly
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10561631/
https://www.ncbi.nlm.nih.gov/pubmed/37802548
http://dx.doi.org/10.1101/lm.053771.123
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author Chasse, Renee Y.
Perrino, Peter A.
McLeod, Ruth M.
Altmann, Gerry T.M.
Fitch, R. Holly
author_facet Chasse, Renee Y.
Perrino, Peter A.
McLeod, Ruth M.
Altmann, Gerry T.M.
Fitch, R. Holly
author_sort Chasse, Renee Y.
collection PubMed
description Historically, the development of valid and reliable methods for assessing higher-order cognitive abilities (e.g., rule learning and transfer) has been difficult in rodent models. To date, limited evidence supports the existence of higher cognitive abilities such as rule generation and complex decision-making in mice, rats, and rabbits. To this end, we sought to develop a task that would require mice to learn and transfer a rule. We trained mice to visually discriminate a series of images (image set, six total) of increasing complexity following three stages: (1) learn a visual target, (2) learn a rule (ignore any new images around the target), and finally (3) apply this rule in abstract form to a comparable but new image set. To evaluate learning for each stage, we measured (1) days (and performance by day) to discriminate the original target at criterion, (2) days (and performance by day) to get back to criterion when images in the set were altered by the introduction of distractors (rule learning), and (3) overall days (and performance by day) to criterion when experienced versus naïve cohorts of mice were tested on the same image set (rule transfer). Twenty-seven wild-type male C57 mice were tested using Bussey–Saksida touchscreen operant conditioning boxes (Lafayette Instruments). Two comparable black–white image sets were delivered sequentially (counterbalanced for order) to two identical cohorts of mice. Results showed that all mice were able to effectively learn their initial target image and could recall it >80 d later. We also found that mice were able to quickly learn and apply a “rule” : Ignore new distractors and continue to identify their visual target embedded in more complex images. The presence of rule learning was supported because performance criterion thresholds were regained much faster than initial learning when distractors were introduced. On the other hand, mice appeared unable to transfer this rule to a new set of stimuli. This is supported because visual discrimination curves for a new image set were no better than an initial (naïve) learning by a matched cohort of mice. Overall results have important implications for phenotyping research and particularly for the modeling of complex disorders in mice.
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spelling pubmed-105616312023-10-10 A novel approach to the assessment of higher-order rule learning in male mice Chasse, Renee Y. Perrino, Peter A. McLeod, Ruth M. Altmann, Gerry T.M. Fitch, R. Holly Learn Mem Research Paper Historically, the development of valid and reliable methods for assessing higher-order cognitive abilities (e.g., rule learning and transfer) has been difficult in rodent models. To date, limited evidence supports the existence of higher cognitive abilities such as rule generation and complex decision-making in mice, rats, and rabbits. To this end, we sought to develop a task that would require mice to learn and transfer a rule. We trained mice to visually discriminate a series of images (image set, six total) of increasing complexity following three stages: (1) learn a visual target, (2) learn a rule (ignore any new images around the target), and finally (3) apply this rule in abstract form to a comparable but new image set. To evaluate learning for each stage, we measured (1) days (and performance by day) to discriminate the original target at criterion, (2) days (and performance by day) to get back to criterion when images in the set were altered by the introduction of distractors (rule learning), and (3) overall days (and performance by day) to criterion when experienced versus naïve cohorts of mice were tested on the same image set (rule transfer). Twenty-seven wild-type male C57 mice were tested using Bussey–Saksida touchscreen operant conditioning boxes (Lafayette Instruments). Two comparable black–white image sets were delivered sequentially (counterbalanced for order) to two identical cohorts of mice. Results showed that all mice were able to effectively learn their initial target image and could recall it >80 d later. We also found that mice were able to quickly learn and apply a “rule” : Ignore new distractors and continue to identify their visual target embedded in more complex images. The presence of rule learning was supported because performance criterion thresholds were regained much faster than initial learning when distractors were introduced. On the other hand, mice appeared unable to transfer this rule to a new set of stimuli. This is supported because visual discrimination curves for a new image set were no better than an initial (naïve) learning by a matched cohort of mice. Overall results have important implications for phenotyping research and particularly for the modeling of complex disorders in mice. Cold Spring Harbor Laboratory Press 2023-10 /pmc/articles/PMC10561631/ /pubmed/37802548 http://dx.doi.org/10.1101/lm.053771.123 Text en © 2023 Chasse et al.; Published by Cold Spring Harbor Laboratory Press https://creativecommons.org/licenses/by/4.0/This article, published in Learning & Memory, is available under a Creative Commons License (Attribution 4.0 International), as described at http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Paper
Chasse, Renee Y.
Perrino, Peter A.
McLeod, Ruth M.
Altmann, Gerry T.M.
Fitch, R. Holly
A novel approach to the assessment of higher-order rule learning in male mice
title A novel approach to the assessment of higher-order rule learning in male mice
title_full A novel approach to the assessment of higher-order rule learning in male mice
title_fullStr A novel approach to the assessment of higher-order rule learning in male mice
title_full_unstemmed A novel approach to the assessment of higher-order rule learning in male mice
title_short A novel approach to the assessment of higher-order rule learning in male mice
title_sort novel approach to the assessment of higher-order rule learning in male mice
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10561631/
https://www.ncbi.nlm.nih.gov/pubmed/37802548
http://dx.doi.org/10.1101/lm.053771.123
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