TY - JOUR
T1 - Chronotate
T2 - An open-source tool for manual timestamping and quantification of animal behavior
AU - Philipsberg, Paul A.
AU - Christenson Wick, Zoé
AU - Diego, Keziah S.
AU - Vaughan, Nick
AU - Galas, Angelina
AU - Jurkowski, Albert
AU - Feng, Yu
AU - Vetere, Lauren M.
AU - Chen, Lingxuan
AU - Soler, Iván
AU - Cai, Denise J.
AU - Shuman, Tristan
N1 - Publisher Copyright:
© 2023
PY - 2023/9/25
Y1 - 2023/9/25
N2 - 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.
AB - 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.
KW - Novel object location
KW - Novel object recognition
KW - Open-source
KW - Rodent behavior
UR - http://www.scopus.com/inward/record.url?scp=85168852967&partnerID=8YFLogxK
U2 - 10.1016/j.neulet.2023.137461
DO - 10.1016/j.neulet.2023.137461
M3 - Article
C2 - 37619698
AN - SCOPUS:85168852967
SN - 0304-3940
VL - 814
JO - Neuroscience Letters
JF - Neuroscience Letters
M1 - 137461
ER -