Chronotate: An open-source tool for manual timestamping and quantification of animal behavior.

Autor: Philipsberg PA; Icahn School of Medicine at Mount Sinai, New York NY, United States., Christenson Wick Z; Icahn School of Medicine at Mount Sinai, New York NY, United States., Diego KS; Icahn School of Medicine at Mount Sinai, New York NY, United States., Vaughan N; Icahn School of Medicine at Mount Sinai, New York NY, United States., Galas A; Icahn School of Medicine at Mount Sinai, New York NY, United States; New York University, New York NY, United States., Jurkowski A; Icahn School of Medicine at Mount Sinai, New York NY, United States; CUNY Hunter College, New York NY, United States., Feng Y; Icahn School of Medicine at Mount Sinai, New York NY, United States., Vetere LM; Icahn School of Medicine at Mount Sinai, New York NY, United States., Chen L; Icahn School of Medicine at Mount Sinai, New York NY, United States., Soler I; Icahn School of Medicine at Mount Sinai, New York NY, United States., Cai DJ; Icahn School of Medicine at Mount Sinai, New York NY, United States., Shuman T; Icahn School of Medicine at Mount Sinai, New York NY, United States. Electronic address: tristan.shuman@mssm.edu.
Jazyk: angličtina
Zdroj: Neuroscience letters [Neurosci Lett] 2023 Sep 25; Vol. 814, pp. 137461. Date of Electronic Publication: 2023 Aug 23.
DOI: 10.1016/j.neulet.2023.137461
Abstrakt: A core necessity to behavioral neuroscience research is the ability to accurately measure performance on behavioral assays, such as the novel object location and novel object recognition tasks. These tasks are widely used in neuroscience research and measure a rodent's instinct for investigating novel features as a proxy to test their memory of a previous experience. Automated tools for scoring behavioral videos can be cost prohibitive and often have difficulty distinguishing between active investigation of an object and simply being in close proximity to an object. As such, many experimenters continue to rely on hand scoring interactions using stopwatches, which makes it difficult to review scoring after-the-fact and results in the loss of temporal information. Here, we introduce Chronotate, a free, open-source tool to aid in manually scoring novel object behavior videos. The software consists of an interactive video player with keyboard integration for marking timestamps of behavioral events during video playback, making it simple to quickly score and review bouts of rodent-object interaction. In addition, Chronotate outputs detailed interaction bout data, allowing for nuanced behavioral performance analyses. Using this detailed temporal information, we demonstrate that novel object location performance peaks within the first 3 s of interaction time and preference for the novel location becomes reduced across the test session. Thus, Chronotate can be used to determine the temporal structure of interactions on this task and can provide new insight into the memory processes that drive this behavior. Chronotate is available for download at: https://github.com/ShumanLab/Chronotate.
Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2023 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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