Skip to main content

Main menu

  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Current Issue
    • Issue Archive
    • Blog
    • Collections
    • Podcast
  • TOPICS
    • Cognition and Behavior
    • Development
    • Disorders of the Nervous System
    • History, Teaching and Public Awareness
    • Integrative Systems
    • Neuronal Excitability
    • Novel Tools and Methods
    • Sensory and Motor Systems
  • ALERTS
  • FOR AUTHORS
  • ABOUT
    • Overview
    • Editorial Board
    • For the Media
    • Privacy Policy
    • Contact Us
    • Feedback
  • SUBMIT

User menu

Search

  • Advanced search
eNeuro
eNeuro

Advanced Search

 

  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Current Issue
    • Issue Archive
    • Blog
    • Collections
    • Podcast
  • TOPICS
    • Cognition and Behavior
    • Development
    • Disorders of the Nervous System
    • History, Teaching and Public Awareness
    • Integrative Systems
    • Neuronal Excitability
    • Novel Tools and Methods
    • Sensory and Motor Systems
  • ALERTS
  • FOR AUTHORS
  • ABOUT
    • Overview
    • Editorial Board
    • For the Media
    • Privacy Policy
    • Contact Us
    • Feedback
  • SUBMIT
PreviousNext
Research ArticleResearch Article: New Research, Cognition and Behavior

Food Restriction Level and Reinforcement Schedule Differentially Influence Behavior during Acquisition and Devaluation Procedures in Mice

Maxime Chevée, Courtney J. Kim, Nevin Crow, Emma G. Follman, Michael Z. Leonard and Erin S. Calipari
eNeuro 11 September 2023, 10 (9) ENEURO.0063-23.2023; https://doi.org/10.1523/ENEURO.0063-23.2023
Maxime Chevée
1Department of Pharmacology, Vanderbilt University, Nashville TN 37232
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Courtney J. Kim
1Department of Pharmacology, Vanderbilt University, Nashville TN 37232
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Courtney J. Kim
Nevin Crow
1Department of Pharmacology, Vanderbilt University, Nashville TN 37232
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Emma G. Follman
1Department of Pharmacology, Vanderbilt University, Nashville TN 37232
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Michael Z. Leonard
1Department of Pharmacology, Vanderbilt University, Nashville TN 37232
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Erin S. Calipari
1Department of Pharmacology, Vanderbilt University, Nashville TN 37232
2Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN 37232
3Vanderbilt Center for Addiction Research, Vanderbilt University, Nashville, TN 37232
4Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN 37232
5Department of Psychiatry and Behavioral Sciences, Vanderbilt University, Nashville, TN 37232
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF
Loading

Article Figures & Data

Figures

  • Extended Data
  • Figure 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 1.

    RI30/RI60 and RR10/RR20 produce different operant behavior and different response-per-reinforcer ratios. A, Schematic showing the relationship between response rate and reinforcer delivery rate under four example schedules. The red dotted line indicates the mean response rate a subject must perform to achieve equal reinforcer delivery rates under RI30 or RR10 schedules. The value is the same for achieving equal reinforcer delivery rates between RI60 and RR20. B, Mean reinforcer delivery rates across training, split by schedule. C, Mean response rates across training, split by schedule. D, Mean responses-per-reinforcer ratio during each phase of training. (Note: animals on RR20 can have mean response/reinforcer ratio larger than 20 because responses only counted once the previous reinforcer had been collected.) Individual data points are shown separated by sex within each group (Females: left, Males: right). RI: N = 9 mice, RR: N = 10 mice, * indicates independent Student’s t test p < 0.05. Data are shown as mean ± SEM (error bars are occluded by mean symbol in panel B). See also Extended Data Figure 1-1.

  • Figure 2.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 2.

    Designing RR schedules to match the responses-per-reinforcer ratios observed in mice following RI schedules under distinct levels of food restriction. A, Schematic showing the training strategy for three groups distinguished by their level of food restriction. Each mouse underwent 3 d of RI30, 4 d of RI60, and 2 d of outcome devaluation testing. B, Plot showing that each pair of response rate/reinforcer delivery rate can be achieved by a specific RR (shown as a color map). The response rate/reinforcer delivery rate values observed for each phase/restriction group are depicted as circles color-coded to match A. C, Summary of B showing the RR that matches each RI based on the performance of each RI group. D, Schematic showing the training strategy for three groups distinguished by their level of food restriction. Each group followed the RR schedule identified in B, C. E, Mean responses-per-reinforcer ratios for each restriction/schedule group, separated by phase of training. Individual data points are shown separated by sex within each group (Females: left, Males: right). RI-noRestriction N = 10 mice, RR-noRestriction N = 9 mice, RI-MildRestriction N = 14 mice, RR-MildRestriction N = 15 mice, RI-strongRestriction N = 14 mice, RR-strongRestriction N = 10 mice; * indicates two-way ANOVA p < 0.05 (E). ns indicates two-way ANOVA p > 0.05 (E) and post hoc Tukey’s HSD test p > 0.5 (E). Data are shown as mean ± SEM. See also Extended Data Figure 2-1.

  • Figure 3.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 3.

    Food restriction increases response rates more effectively in mice following RR schedules than in mice following RI schedules. A, Mean response rates across training, split by restriction and schedule. B, Mean response rates on the last day of training summarizing the data used to perform a two-way ANOVA. C, Mean ratio of response rate on last session over first session (after FR1 acquisition) summarizing the data used to perform a two-way ANOVA. Individual data points are shown separated by sex within each group (Females: left, Males: right). RI-noRestriction N = 10 mice, RR-NoRestriction N = 9 mice, RI-MildRestriction N = 14 mice, RR-MildRestriction N = 15 mice, RI-strongRestriction N = 14 mice, RR-strongRestriction N = 10 mice; black * indicates two-way ANOVA p < 0.05 (B, C); gray * indicates p < 0.05 post hoc Tukey’s HSD test for matched RR-RI pairs (B, C). ANOVA results and post hoc Tukey’s HSD tests are reported in the statistical table (Extended Data Fig. 1-1). Data are shown as mean ± SEM. See also Extended Data Figure 3-1.

  • Figure 4.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 4.

    The effects of food restriction and schedule on performance during devaluation procedures are dominated by extinction. A, Diagram describing the devaluation procedure, extinction test, and preference test. B, Summary of response rates during devaluation sessions, grouped by devaluation (valued/food, devalued/sucrose). Valued conditions consisted of 1-h access to regular chow and devalued 1-h access to 10% sucrose. The two test sessions were performed on consecutive days and the order counterbalanced within each group (valued-RI-MildRestriction: 4.3 ± 0.56 responses/min, devalued-RI-MildRestriction: 4.95 ± 0.91 responses/min, N = 8; valued-RR-MildRestriction: 4.88 ± 1.08 responses/min; devalued-RR-MildRestriction: 6.40 ± 1.21 responses/min, N = 10; valued-RI-StrongRestriction: 6.54 ± 0.92 responses/min; devalued-RI-StrongRestriction: 6.74 ± 1.16 responses/min, N = 14; valued-RR-StrongRestriction: 9.18 ± 1.46 responses/min; devalued-RR-StrongRestriction: 10.82 ± 2.05 responses/min, N = 9). C, Same data as shown in B summarized as a devaluation index for each mouse [valued response rate/(valued response rate + devalued response rate)]. Means for the mice grouped by schedule, restriction and testing order are also shown on the right. D, Same data as shown in B, grouped by session number (first extinction session, second extinction session; first-RI-MildRestriction: 4.95 ± 0.74 responses/min, second-RI-MildRestriction: 4.30 ± 0.77 responses/min, N = 8; first-RR-MildRestriction: 6.48 ± 1.08 responses/min; second-RR-MildRestriction: 4.80 ± 0.62 responses/min, N = 10; first-RI-StrongRestriction: 9.01 ± 1.05 responses/min; second-RI-StrongRestriction: 4.27 ± 0.47 responses/min, N = 14; first-RR-StrongRestriction: 12.91 ± 1.99 responses/min; second-RR-StrongRestriction: 7.09 ± 0.66 responses/min, N = 9). E, Same data as shown in D summarized as an extinction index for each mouse [second session response rate/(first session response rate + second session response rate)]. Means for the mice grouped by schedule and by restriction are also shown on the right. * indicates two-way ANOVA p < 0.05 (C, E). ns indicates two-way ANOVA p > 0.05 (C, E). Data are shown as mean ± SEM. Individual data points are shown separated by sex within each group (Females: left, Males: right). See also Extended Data Figure 4-1.

  • Figure 5.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 5.

    The effects of food restriction on extinction are not apparent within a session. A, Response rates during the first extinction session. Data are shown across the duration of the session in 1 min time bins. B, Response rates during the first minute of the extinction session show similar results as by the end of acquisition. C, Graph showing the ratio of the number of responses in the second minute over the number of responses during the first and second minutes capturing the magnitude of the decrease in response rate. D, Graph showing the number of responses executed before the inter-response interval became larger than mean ± 2 SD based on a rolling window of five responses. * indicates two-way ANOVA p < 0.05 (B). ns indicates two-way ANOVA p > 0.05 (B–D). Data are shown as mean ± SEM. Individual data points are shown separated by sex within each group (Females: left, Males: right). RI-MildRestriction: N = 8, RR-MildRestriction: N = 10, RI-StrongRestriction: N = 14, RR-StrongRestriction: N = 9).

Extended Data

  • Figures
  • Extended Data Figure 1-1

    Statistical table. Download Figure 1-1, XLSX file.

  • Extended Data Figure 2-1

    No difference in time to acquisition across restriction/schedule and in the efficacy of food restriction across sex. A, Graph showing the time to acquisition across training schedules and restriction groups [RI-NoRestriction: 4.1 ± 0.5 sessions (N = 10), RI-MildRestriction: 4.29 ± 0.62 sessions (N = 14), RI-StrongRestriction: 3.86 ± 0.49 sessions (N = 14), RR-NoRestriction: 3.78 ± 0.52 sessions (N = 9), RR-MildRestriction: 3.93 ± 0.45 sessions (N = 15), RR-StrongRestriction: 3.4 ± 0.45 sessions (N = 10)]. A two-way ANOVA revealed no effects of restriction group (two-way ANOVA F = 0.45, df = 2, p = 0.64) and no effect of task schedule (two-way ANOVA F = 0.77, df = 1, p = 0.38). These results are expected as we assigned mice to groups post FR1 acquisition to avoid any differences. B, Graph showing the effects of food restriction across time as the fraction of initial body weight [data on session 7: Females/NoRestriction: 1.02 ± 0.02 (N = 9), Females/MildRestriction: 0.99 ± 0.03 (N = 10), Females/StrongRestriction: 0.79 ± 0.01 (N = 12), Males/NoRestriction: 1.02 ± 0.01 (N = 10), Males/MildRestriction: 0.92 ± 0.02 (N = 10), Males/StrongRestriction: 0.76 ± 0.01 (N = 12)]. A two-way ANOVA on the last day (session 7) revealed a significant effect of restriction group (two-way ANOVA F = 90.1, df = 2, p = 2.3e-18) but no effect of sex (two-way ANOVA F = 3.48, df = 1, p = 6.7e-2). Download Figure 2-1, TIF file.

  • Extended Data Figure 3-1

    Food restriction and schedule influenced reinforcer delivery rates and response rate variability. A, Mean reinforcer delivery rates across training, split by restriction and schedule. B, Mean reinforcer delivery rates on the last day of training summarizing the data used to perform a two-way ANOVA. C, Mean coefficient of variation of the inter-response interval across training, split by restriction and schedule. D, Mean coefficient of variation on the last day of training summarizing data used to perform a two-way ANOVA. RI-noRestriction N = 10 mice, RR-NoRestriction N = 9 mice, RI-MildRestriction N = 14 mice, RR-MildRestriction N = 15 mice, RI-strongRestriction N = 14 mice, RR-strongRestriction N = 10 mice; black * indicates two-way ANOVA p < 0.05 (B, D); grey * indicates p < 0.05 post hoc Tukey’s HSD test for matched RR-RI pairs (B, D). ANOVA results and post hoc Tukey’s HSD tests are reported in the statistical table. Data are shown as mean ± SEM. Individual data points are shown separated by sex within each group (Females: left, Males: right). Download Figure 3-1, TIF file.

  • Extended Data Figure 4-1

    Prefeeding selectively and effectively reduced mice’s preference for the prefed food. A, Graphs showing how much food [left; RI-MildRestriction: 1.08 ± 0.24 g (N = 8), RR-MildRestriction: 0.94 ± 0.17 g (N = 10), RI-StrongRestriction: 1.25 ± 0.09 g (N = 14), RR-StrongRestriction: 1.52 ± 0.16 g (N = 10); two-way ANOVA main effect of restriction group df = 1, F = 4.35, p = 0.044; main effect of schedule df = 1, F = 0.15, p = 0.70; interaction df = 1, F = 2.39, p = 0.13) or sucrose (right; RI-MildRestriction: 1.62 ± 0.44 g (N = 8), RR-MildRestriction: 1.65 ± 0.40 g (N = 10), RI-StrongRestriction: 2.9 ± 0.22 g (N = 14), RR-StrongRestriction: 3.16 ± 0.18 g (N = 10); two-way ANOVA main effect of restriction group df = 1, F = 18.6, p = 1.15e-4; main effect of schedule df = 1, F = 0.24, p = 063; interaction df = 1, F = 0.15, p = 0.70] mice consumed during the 1 h prefeeding session preceding the extinction test. B, Graphs showing consumption during the postdevaluation preference test, during which mice have free access to both food and sucrose for 10 min, for food [left; RI-MildRestriction_postSucDeval: 0.52 ± 0.04 g (N = 5), RI-MildRestriction_postFoodDeval: 0.24 ± 0.07 g (N = 5), RR-MildRestriction_postSucDeval: 0.48 ± 0.09 g (N = 4), RR-MildRestriction_postFoodDeval: 0.27 ± 0.11 g (N = 4), RI-StrongRestriction_postSucDeval: 0.45 ± 0.05 g (N = 4), RI-StrongRestriction_postFoodDeval: 0.15 ± 0.05 g (N = 4), RR-StrongRestriction_postSucDeval: 0.55 ± 0.05 g (N = 2), RR-StrongRestriction_postFoodDeval: 0.10 ± 0.10 g (N = 2); three-way ANOVA main effect of restriction group df = 1, F = 1.68, p = 0.21; main effect of schedule df = 1, F = 0.014, p = 0.91; main effect of prefeed df = 1, F = 30.8, p = 1.4e-5; interactions all showed p > 0.05) and for sucrose (right; RI-MildRestriction_postSucDeval: 0.24 ± 0.11 g (N = 5), RI-MildRestriction_postFoodDeval: 1.26 ± 0.28 g (N = 5), RR-MildRestriction_postSucDeval: 0.22 ± 0.05 g (N = 4), RR-MildRestriction_postFoodDeval: 1.22 ± 0.36 g (N = 4), RI-StrongRestriction_postSucDeval: 0.10 ± 0.04 g (N = 4), RI-StrongRestriction_postFoodDeval: 1.35 ± 0.28 g (N = 4), RR-StrongRestriction_postSucDeval: 0.15 ± 0.15 g (N = 2), RR-StrongRestriction_postFoodDeval: 0.65 ± 0.55 g (N = 2); three-way ANOVA main effect of restriction group df = 1, F = 0.59, p = 0.45; main effect of schedule df = 1, F = 0.59, p = 0.45; main effect of prefeed df = 1, F = 33.5, p = 8.0e-6; interactions all showed p > 0.05]. C, Preference index based on data shown in B showing all groups preferred the nondevalued option equally. Negative values indicate preference for food and positive values indicate preference for sucrose [following sucrose devaluation, RI-MildRestriction: −0.59 ± 0.12 (N = 5), RR-MildRestriction: −0.45 ± 0.15 (N = 4), RI-StrongRestriction: −0.66 ± 0.05 (N = 4), RR-StrongRestriction: −0.76 ± 0.24 (N = 2); indices following food devaluation are the opposite, two-way ANOVA main effect of restriction group df = 1, F = 1.49, p = 0.25; main effect of schedule df = 1, F = 0.15, p = 0.70; interaction df = 1, F = 0.74, p = 0.41]. Data are shown as mean ± SEM. Individual data points are shown separated by sex within each group (Females: left, Males: right). Download Figure 4-1, TIF file.

Back to top

In this issue

eneuro: 10 (9)
eNeuro
Vol. 10, Issue 9
September 2023
  • Table of Contents
  • Index by author
  • Masthead (PDF)
Email

Thank you for sharing this eNeuro article.

NOTE: We request your email address only to inform the recipient that it was you who recommended this article, and that it is not junk mail. We do not retain these email addresses.

Enter multiple addresses on separate lines or separate them with commas.
Food Restriction Level and Reinforcement Schedule Differentially Influence Behavior during Acquisition and Devaluation Procedures in Mice
(Your Name) has forwarded a page to you from eNeuro
(Your Name) thought you would be interested in this article in eNeuro.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Print
View Full Page PDF
Citation Tools
Food Restriction Level and Reinforcement Schedule Differentially Influence Behavior during Acquisition and Devaluation Procedures in Mice
Maxime Chevée, Courtney J. Kim, Nevin Crow, Emma G. Follman, Michael Z. Leonard, Erin S. Calipari
eNeuro 11 September 2023, 10 (9) ENEURO.0063-23.2023; DOI: 10.1523/ENEURO.0063-23.2023

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Respond to this article
Share
Food Restriction Level and Reinforcement Schedule Differentially Influence Behavior during Acquisition and Devaluation Procedures in Mice
Maxime Chevée, Courtney J. Kim, Nevin Crow, Emma G. Follman, Michael Z. Leonard, Erin S. Calipari
eNeuro 11 September 2023, 10 (9) ENEURO.0063-23.2023; DOI: 10.1523/ENEURO.0063-23.2023
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Significance Statement
    • Introduction
    • Materials and Methods
    • Results
    • Discussion
    • Footnotes
    • References
    • Synthesis
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF

Keywords

  • food restriction
  • goal directed
  • habits
  • operant conditioning
  • random intervals
  • random ratios

Responses to this article

Respond to this article

Jump to comment:

No eLetters have been published for this article.

Related Articles

Cited By...

More in this TOC Section

Research Article: New Research

  • Sensory-cell population integrity required to preserve minimal and normal vestibulo-ocular reflexes reveals the critical role of type I hair cells in canal- and otolith-specific functions
  • Galanin inhibits histaminergic neurons via galanin receptor 1
  • sAPPα inhibits neurite outgrowth in primary mouse neurons via GABA B Receptor subunit 1a
Show more Research Article: New Research

Cognition and Behavior

  • The Novel Progressive Ratio with Reset Task Reveals Adaptive Effort-Delay Trade-Offs
  • TriNet-MTL: A Multi-Branch Deep Learning Framework for Biometric Identification and Cognitive State Inference from Auditory-Evoked EEG
  • When Familiar Faces Feel Better: A Framework for Social Neurocognitive Aging in a Rat Model
Show more Cognition and Behavior

Subjects

  • Cognition and Behavior
  • Home
  • Alerts
  • Follow SFN on BlueSky
  • Visit Society for Neuroscience on Facebook
  • Follow Society for Neuroscience on Twitter
  • Follow Society for Neuroscience on LinkedIn
  • Visit Society for Neuroscience on Youtube
  • Follow our RSS feeds

Content

  • Early Release
  • Current Issue
  • Latest Articles
  • Issue Archive
  • Blog
  • Browse by Topic

Information

  • For Authors
  • For the Media

About

  • About the Journal
  • Editorial Board
  • Privacy Notice
  • Contact
  • Feedback
(eNeuro logo)
(SfN logo)

Copyright © 2026 by the Society for Neuroscience.
eNeuro eISSN: 2373-2822

The ideas and opinions expressed in eNeuro do not necessarily reflect those of SfN or the eNeuro Editorial Board. Publication of an advertisement or other product mention in eNeuro should not be construed as an endorsement of the manufacturer’s claims. SfN does not assume any responsibility for any injury and/or damage to persons or property arising from or related to any use of any material contained in eNeuro.