Optimizing choice and timing of behavioral outcome tests following repetitive mild traumatic brain injury: A machine learning-based approach on multiple preclinical experiments

Repetitive mild traumatic brain injury (rmTBI) is a potentially debilitating condition with long-term sequelae. Animal models are used to study rmTBI in a controlled environment, but there is currently no established standard battery of behavioral tests used. Primarily, we aimed to identify the best...

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Veröffentlicht in:	Journal of neurotrauma 2023 (ja)
Hauptverfasser:	Lassarén, Philipp, Conley, Grace, Boucher, Masen, Conley, Ashley N., Morriss, Nicholas J., Qiu, Jianhua, Mannix, Rebekah, Thelin, Eric Peter
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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