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自上而下的前庭补偿方法:前庭康复的转化研究

Top-down approach to vestibular compensation: translational lessons from vestibular rehabilitation.

机构信息

Department of Otolaryngology, University of Pittsburgh, Pittsburgh, PA 15213, USA.

出版信息

Brain Res. 2012 Oct 30;1482:101-11. doi: 10.1016/j.brainres.2012.08.040. Epub 2012 Sep 6.

Abstract

This review examines vestibular compensation and vestibular rehabilitation from a unified translational research perspective. Laboratory studies illustrate neurobiological principles of vestibular compensation at the molecular, cellular and systems levels in animal models that inform vestibular rehabilitation practice. However, basic research has been hampered by an emphasis on 'naturalistic' recovery, with time after insult and drug interventions as primary dependent variables. The vestibular rehabilitation literature, on the other hand, provides information on how the degree of compensation can be shaped by specific activity regimens. The milestones of the early spontaneous static compensation mark the re-establishment of static gaze stability, which provides a common coordinate frame for the brain to interpret residual vestibular information in the context of visual, somatosensory and visceral signals that convey gravitoinertial information. Stabilization of the head orientation and the eye orientation (suppression of spontaneous nystagmus) appear to be necessary by not sufficient conditions for successful rehabilitation, and define a baseline for initiating retraining. The lessons from vestibular rehabilitation in animal models offer the possibility of shaping the recovery trajectory to identify molecular and genetic factors that can improve vestibular compensation.

摘要

这篇综述从统一的转化研究视角审视了前庭代偿和前庭康复。实验室研究以动物模型为对象,从分子、细胞和系统水平上阐述了前庭代偿的神经生物学原理,为前庭康复实践提供了依据。然而,基础研究受到了“自然恢复”的重视,时间和药物干预成为主要的因变量。另一方面,前庭康复文献提供了有关特定活动方案如何影响代偿程度的信息。早期自发性静态代偿的里程碑标志着静态凝视稳定性的重新建立,这为大脑提供了一个共同的坐标框架,以便在视觉、躯体感觉和内脏信号(传达重力量信息)的背景下解释残留的前庭信息。头部和眼睛方向的稳定(抑制自发性眼震)似乎是康复成功的必要而非充分条件,为重新训练确定了基线。动物模型中的前庭康复经验为塑造恢复轨迹提供了可能性,以确定可以改善前庭代偿的分子和遗传因素。

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