Bayesian quantification of sensory reweighting in a familial bilateral vestibular disorder (DFNA9)
Bayesian quantification of sensory reweighting in a familial bilateral vestibular disorder (DFNA9)
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DOI：
10.1152/jn.00082.2017
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发表时间：
2018-03-01
影响因子：
2.5
通讯作者：
Medendorp, W. Pieter
中科院分区：
文献类型：
--
作者：
Alberts, Bart B. G. T.;Selen, Luc P. J.;Medendorp, W. Pieter
DFNA9是一种罕见的进行性常染色体显性遗传前庭-耳蜗疾病，导致听力障碍和双侧前庭功能丧失的同质组患者。这些患者的空间方向感下降，导致黑暗中的平衡问题，特别是在不规则的表面上。行为和功能成像研究都表明，剩余的感觉线索可以弥补前庭信息的损失。然而，缺乏对个体患者的这种重新加权进行彻底的基于模型的量化。在这里，我们用心理测量学检查了完全前庭丧失后个体患者对这些线索的感觉重加权。我们要求一组DFNA9患者和健康对照者判断在三种不同的头对身体倾斜条件下，放置在定向方形框架内的棒的方向（相对于重力的顺时针或逆时针方向）（棒中棒任务）。我们的研究结果显示，在感知重力方向的周期性框架诱导偏差跨越90度范围的框架方向。与健康对照组相比，患者的偏倚程度显著增加。患者的反应变异性也更大，随着头部与身体的倾斜而增加。利用贝叶斯推理原理对潜在信号特性进行逆向工程，建议对感觉信号进行重新加权，使患者的视觉权重增加20-40%。我们将心理物理学和贝叶斯逆向工程相结合的方法是第一个在个体患者水平上量化与不同感觉模式相关的权重的方法，这可能使基于患者感觉权重分布制定个人康复计划成为可能。新的和值得注意的是，有前庭功能缺陷的患者可以通过增加对其他感觉线索的依赖来弥补这种损失，尽管缺乏对这种重新加权的实际量化。我们将实验心理物理学与基于贝叶斯推理原理的逆向工程方法相结合，量化个体前庭患者的感觉重加权。我们讨论了这种方法的适用性，以制定个人康复方案的基础上，病人的感觉重量分布。
DFNA9 is a rare progressive autosomal dominantly inherited vestibulo-cochlear disorder, resulting in a homogeneous group of patients with hearing impairment and bilateral vestibular function loss. These patients suffer from a deteriorated sense of spatial orientation, leading to balance problems in darkness, especially on irregular surfaces. Both behavioral and functional imaging studies suggest that the remaining sensory cues could compensate for the loss of vestibular information. A thorough model-based quantification of this reweighting in individual patients is, however, missing. Here we psychometrically examined the individual patient's sensory reweighting of these cues after complete vestibular loss. We asked a group of DFNA9 patients and healthy control subjects to judge the orientation ( clockwise or counterclockwise relative to gravity) of a rod presented within an oriented square frame ( rod-in-frame task) in three different head-on-body tilt conditions. Our results show a cyclical frame-induced bias in perceived gravity direction across a 90 degrees range of frame orientations. The magnitude of this bias was significantly increased in the patients compared with the healthy control subjects. Response variability, which increased with head-on-body tilt, was also larger for the patients. Reverse engineering of the underlying signal properties, using Bayesian inference principles, suggests a reweighting of sensory signals, with an increase in visual weight of 20-40% in the patients. Our approach of combining psychophysics and Bayesian reverse engineering is the first to quantify the weights associated with the different sensory modalities at an individual patient level, which could make it possible to develop personal rehabilitation programs based on the patient's sensory weight distribution.NEW & NOTEWORTHY It has been suggested that patients with vestibular deficits can compensate for this loss by increasing reliance on other sensory cues, although an actual quantification of this reweighting is lacking. We combine experimental psychophysics with a reverse engineering approach based on Bayesian inference principles to quantify sensory reweighting in individual vestibular patients. We discuss the suitability of this approach for developing personal rehabilitation programs based on the patient's sensory weight distribution.