Abstract |
Postoperative delirium (POD) is a complicated and harmful clinical syndrome. Traditional behaviour analysis mostly focuses on static parameters. However, animal behaviour is a bottom-up and hierarchical organizational structure composed of time-varying posture dynamics. Spontaneous and task-driven behaviours are used to conduct comprehensive profiling of behavioural data of various aspects of model animals. A machine-learning based method is used to assess the effect of dexmedetomidine. Fourteen statistically different spontaneous behaviours are used to distinguish the non-POD group from the POD group. In the task-driven behaviour, the non-POD group has greater deep versus shallow investigation preference, with no significant preference in the POD group. Hyperactive and hypoactive subtypes can be distinguished through pose evaluation. Dexmedetomidine at a dose of 25 μg kg-1 reduces the severity and incidence of POD. Here we propose a multi-scaled clustering analysis framework that includes pose, behaviour and action sequence evaluation. This may represent the hierarchical dynamics of delirium-like behaviours.
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Authors | Silu Cao, Yiling Wu, Zilong Gao, Jinxuan Tang, Lize Xiong, Ji Hu, Cheng Li |
Journal | Communications biology
(Commun Biol)
Vol. 6
Issue 1
Pg. 807
(08 02 2023)
ISSN: 2399-3642 [Electronic] England |
PMID | 37532767
(Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
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Copyright | © 2023. The Author(s). |
Chemical References |
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Topics |
- Animals
- Mice
- Emergence Delirium
(drug therapy)
- Dexmedetomidine
(pharmacology, therapeutic use)
- Delirium
(diagnosis, drug therapy, etiology)
- Postoperative Complications
(drug therapy, epidemiology)
- Behavior, Animal
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