Rethinking data treatment: The sucrose preference threshold for anhedonia in stress-induced rat models of depression

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Rethinking data treatment : The sucrose preference threshold for anhedonia in stress-induced rat models of depression. / Berrio, Jenny P.; Kalliokoski, Otto.

In: Journal of Neuroscience Methods, Vol. 395, 109910, 2023.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Berrio, JP & Kalliokoski, O 2023, 'Rethinking data treatment: The sucrose preference threshold for anhedonia in stress-induced rat models of depression', Journal of Neuroscience Methods, vol. 395, 109910. https://doi.org/10.1016/j.jneumeth.2023.109910

APA

Berrio, J. P., & Kalliokoski, O. (2023). Rethinking data treatment: The sucrose preference threshold for anhedonia in stress-induced rat models of depression. Journal of Neuroscience Methods, 395, [109910]. https://doi.org/10.1016/j.jneumeth.2023.109910

Vancouver

Berrio JP, Kalliokoski O. Rethinking data treatment: The sucrose preference threshold for anhedonia in stress-induced rat models of depression. Journal of Neuroscience Methods. 2023;395. 109910. https://doi.org/10.1016/j.jneumeth.2023.109910

Author

Berrio, Jenny P. ; Kalliokoski, Otto. / Rethinking data treatment : The sucrose preference threshold for anhedonia in stress-induced rat models of depression. In: Journal of Neuroscience Methods. 2023 ; Vol. 395.

Bibtex

@article{4bb236d6232847f39173e4ed8bd81ca1,
title = "Rethinking data treatment: The sucrose preference threshold for anhedonia in stress-induced rat models of depression",
abstract = "Background: Exposing rats to repeated unpredictable stressors is a popular method for modelling depression. The sucrose preference test is used to assess the validity of this method, as it measures a rat´s preference for a sweet solution as an indicator of its ability to experience pleasure. Typically, if stressed rats show a lower preference compared to unstressed rats, it is concluded they are experiencing stress-induced anhedonia. Methods: While conducting a systematic review, we identified 18 studies that used thresholds to define anhedonia and to distinguish “susceptible” from “resilient” individuals. Based on their definitions, researchers either excluded “resilient” animals from further analyses or treated them as a separate cohort. We performed a descriptive analysis to understand the rationale behind these criteria. Results: we found that the methods used for characterizing the stressed rats were largely unsupported. Many authors failed to justify their choices or relied exclusively on referencing previous studies. When tracing back the method to its origins, we converged on a pioneering article that, although employed as a universal evidence-based justification, cannot be regarded as such. What is more, through a simulation study, we provided evidence that removing or splitting data, based on an arbitrary threshold, introduces statistical bias by overestimating the effect of stress. Conclusion: Caution must be exercised when implementing a predefined cut-off for anhedonia. Researchers should be aware of potential biases introduced by their data treatment strategies and strive for transparent reporting of methodological decisions.",
keywords = "Anhedonia, Chronic unpredictable stress, Data treatment, Statistical bias, Stress susceptibility, Sucrose preference test",
author = "Berrio, {Jenny P.} and Otto Kalliokoski",
note = "Funding Information: This research received funding from the Danish 3R Center [grant number 33010-NIFA-20-743 ]. ",
year = "2023",
doi = "10.1016/j.jneumeth.2023.109910",
language = "English",
volume = "395",
journal = "Journal of Neuroscience Methods",
issn = "0165-0270",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Rethinking data treatment

T2 - The sucrose preference threshold for anhedonia in stress-induced rat models of depression

AU - Berrio, Jenny P.

AU - Kalliokoski, Otto

N1 - Funding Information: This research received funding from the Danish 3R Center [grant number 33010-NIFA-20-743 ].

PY - 2023

Y1 - 2023

N2 - Background: Exposing rats to repeated unpredictable stressors is a popular method for modelling depression. The sucrose preference test is used to assess the validity of this method, as it measures a rat´s preference for a sweet solution as an indicator of its ability to experience pleasure. Typically, if stressed rats show a lower preference compared to unstressed rats, it is concluded they are experiencing stress-induced anhedonia. Methods: While conducting a systematic review, we identified 18 studies that used thresholds to define anhedonia and to distinguish “susceptible” from “resilient” individuals. Based on their definitions, researchers either excluded “resilient” animals from further analyses or treated them as a separate cohort. We performed a descriptive analysis to understand the rationale behind these criteria. Results: we found that the methods used for characterizing the stressed rats were largely unsupported. Many authors failed to justify their choices or relied exclusively on referencing previous studies. When tracing back the method to its origins, we converged on a pioneering article that, although employed as a universal evidence-based justification, cannot be regarded as such. What is more, through a simulation study, we provided evidence that removing or splitting data, based on an arbitrary threshold, introduces statistical bias by overestimating the effect of stress. Conclusion: Caution must be exercised when implementing a predefined cut-off for anhedonia. Researchers should be aware of potential biases introduced by their data treatment strategies and strive for transparent reporting of methodological decisions.

AB - Background: Exposing rats to repeated unpredictable stressors is a popular method for modelling depression. The sucrose preference test is used to assess the validity of this method, as it measures a rat´s preference for a sweet solution as an indicator of its ability to experience pleasure. Typically, if stressed rats show a lower preference compared to unstressed rats, it is concluded they are experiencing stress-induced anhedonia. Methods: While conducting a systematic review, we identified 18 studies that used thresholds to define anhedonia and to distinguish “susceptible” from “resilient” individuals. Based on their definitions, researchers either excluded “resilient” animals from further analyses or treated them as a separate cohort. We performed a descriptive analysis to understand the rationale behind these criteria. Results: we found that the methods used for characterizing the stressed rats were largely unsupported. Many authors failed to justify their choices or relied exclusively on referencing previous studies. When tracing back the method to its origins, we converged on a pioneering article that, although employed as a universal evidence-based justification, cannot be regarded as such. What is more, through a simulation study, we provided evidence that removing or splitting data, based on an arbitrary threshold, introduces statistical bias by overestimating the effect of stress. Conclusion: Caution must be exercised when implementing a predefined cut-off for anhedonia. Researchers should be aware of potential biases introduced by their data treatment strategies and strive for transparent reporting of methodological decisions.

KW - Anhedonia

KW - Chronic unpredictable stress

KW - Data treatment

KW - Statistical bias

KW - Stress susceptibility

KW - Sucrose preference test

U2 - 10.1016/j.jneumeth.2023.109910

DO - 10.1016/j.jneumeth.2023.109910

M3 - Journal article

C2 - 37394102

AN - SCOPUS:85165102166

VL - 395

JO - Journal of Neuroscience Methods

JF - Journal of Neuroscience Methods

SN - 0165-0270

M1 - 109910

ER -

ID: 360595331