Different Behavioral Measures of Conditioned Magazine Activity Can Tell Different Stories about Brain Function.

Overview

1. Department of Psychology, Brooklyn College, City University of New York, Brooklyn, New York 11210
2. Machine Learning Team, National Institute of Mental Health, NIH, Bethesda, Maryland 20892
3. Department of Psychology, La Ciénega University Center, University of Guadalajara, Ocotlán, Jalisco 47810, Mexico
4. The Graduate Center, City University of New York, New York, New York 10016
5. Department of Physiology and Pharmacology, Sapienza University of Rome, Rome 00185, Italy
6. Department of Psychology, CSBN/GRNC, Concordia University, Montreal, Quebec H4B 1R6, Canada

Abstract

Elucidating the neural substrates of pavlovian reward learning requires reliable behavioral readouts. In conditioned magazine approach studies, rodents express reward expectancy by approaching the food magazine during cues that predict reward. This behavior is typically quantified using one of three measures: number of head entries, percentage of time in the magazine, or latency to respond. Yet these measures often diverge within the same discrimination task, making reliance on a single metric problematic. At the individual level, some animals express discrimination learning most clearly in one measure while showing little or no learning in the others, and animals may even switch their preferred measure across training. Reporting only one measure therefore risks underestimating the ability of a subset of animals. At the group level, sampling error can produce apparent differences across replications of the same design, limiting replicability. Moreover, brain manipulations can alter response topography, such that choosing one measure over another may lead to conflicting interpretations of neural function. To address this issue, we recommend reporting all raw behavioral measures and supplementing them with a dimensionality-reduction approach such as principal component analysis. Across multiple discrimination tasks in rats from both sexes, we show that subject-specific first principal component scores provide a composite index that more consistently reflects discrimination learning than any single raw measure. This approach enhances statistical power, improves reproducibility, and helps distinguish true learning deficits from changes in response topography. However, its broader application will require continued validation and careful consideration of its inherent methodological tradeoffs.

Reproduced under the paper's license (CC BY), from the paper cited above.

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Data

Datasets cited

• github.com/esberlab/volz_et_al_pca, at github.com; found in the text, “Individual-level analyses”

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Version 1, 29 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 10 authors, 6 keywords, 11 MeSH terms, 1 funder, 54 references.

Cite

This paper

Volz, S. G., Loewinger, G., Marquez, I., Fevola, S., Kang, M., Reverte, I., Krishnan, A., Gardner, M. P. H., Iordanova, M. D., & Esber, G. R. (2026). Different Behavioral Measures of Conditioned Magazine Activity Can Tell Different Stories about Brain Function. eNeuro, 13(4), ENEURO.0560-24.2026. https://doi.org/10.1523/eneuro.0560-24.2026

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