Rastoldo Guillaume, Marouane Emna, El Mahmoudi Nada, Péricat David, Bourdet Audrey, Timon-David Elise, Dumas Olivier, Chabbert Christian, Tighilet Brahim
Aix Marseille Université-CNRS, Laboratoire de Neurosciences Sensorielles et Cognitives, LNSC UMR 7260, Equipe Physiopathologie et Thérapie des Désordres Vestibulaires, Groupe de Recherche Vertige (GDR#2074), Marseille, France.
Société Française de Kinésithérapie Vestibulaire, Lyon, France.
Front Neurol. 2020 Jun 5;11:505. doi: 10.3389/fneur.2020.00505. eCollection 2020.
Vestibular pathologies are difficult to diagnose. Existing devices make it possible to quantify and follow the evolution of posturo-locomotor symptoms following vestibular loss in static conditions. However, today, there are no diagnostic tools allowing the quantitative and spontaneous analysis of these symptoms in dynamic situations. With this in mind, we used an open-field video tracking test aiming at identifying specific posturo-locomotor markers in a rodent model of vestibular pathology. Using Ethovision XT 14 software (Noldus), we identified and quantified several behavioral parameters typical of unilateral vestibular lesions in a rat model of vestibular pathology. The unilateral vestibular neurectomy (UVN) rat model reproduces the symptoms of acute unilateral peripheral vestibulopathy in humans. Our data show deficits in locomotion velocity, distance traveled and animal mobility in the first day after the injury. We also highlighted alterations in several parameters, such as head and body acceleration, locomotor pattern, and position of the body, as well as "circling" behavior after vestibular loss. Here, we provide an enriched posturo-locomotor phenotype specific to full and irreversible unilateral vestibular loss. This test helps to strengthen the quantitative evaluation of vestibular disorders in unilateral vestibular lesion rat model. It may also be useful for testing pharmacological compounds promoting the restoration of balance. Transfer of these novel evaluation parameters to human pathology may improve the diagnosis of acute unilateral vestibulopathies and could better follow the evolution of the symptoms upon pharmacological and physical rehabilitation.
前庭疾病难以诊断。现有设备能够在静态条件下对前庭丧失后的姿势 - 运动症状进行量化并跟踪其演变。然而,目前尚无诊断工具可对动态情况下的这些症状进行定量和自发分析。考虑到这一点,我们采用了一种旷场视频跟踪测试,旨在在前庭疾病的啮齿动物模型中识别特定的姿势 - 运动标志物。使用Ethovision XT 14软件(Noldus),我们在一个前庭疾病大鼠模型中识别并量化了单侧前庭损伤典型的几个行为参数。单侧前庭神经切除术(UVN)大鼠模型再现了人类急性单侧外周前庭病变的症状。我们的数据显示,损伤后第一天,动物在运动速度、行进距离和活动能力方面存在缺陷。我们还突出了几个参数的变化,如头部和身体加速度、运动模式、身体位置,以及前庭丧失后的“转圈”行为。在此,我们提供了一种丰富的、特定于完全不可逆单侧前庭丧失的姿势 - 运动表型。该测试有助于加强对单侧前庭损伤大鼠模型中前庭疾病的定量评估。它也可能有助于测试促进平衡恢复的药物化合物。将这些新的评估参数应用于人类病理学可能会改善急性单侧前庭病变的诊断,并能更好地跟踪药物和物理康复后症状的演变。