Structure & function of the fingers tendinous apparatus

描述(申请人提供)：手的解剖学描述未能解释其肌腱互连网络的脆弱性和不满意的结果，即使是轻微的损害也是如此。我们认为，这些经典的解剖学描述没有捕捉到其多种元素之间严重的功能相互依赖。我们将使用另一种基于身体标本生物信息学测试的结构推断方法来发现腱器官的敏感性和脆弱性。 假设一：对肌腱装置的经典解剖学描述没有捕捉到肌腱之间的相互依赖关系，因此无法解释手指功能对损伤的脆弱性。假设II：直接从指力和运动数据推断的解剖学描述在捕捉肌腱之间的相互依赖和解释损伤如何导致畸形和病理性手指运动方面优于经典描述。 目的1：通过比较各种姿势下预测和测量的静态指尖力和卸载手指运动来量化经典解剖学描述的保真度。目的2：从身体数据中从数学上推断不同的解剖学描述，并通过比较各种姿势下预测和测量的静态指尖力和卸载的手指运动来量化它们的保真度。目的3：通过对身体手实施选择性损伤，并将预测和测量的畸形和病理性手指运动进行比较，验证最佳结果解剖学描述的临床实用性。 这项工作是由我们新颖和有效的数据驱动的生物信息学方法通过自主询问复杂物理系统来推断它们的功能结构而实现的。我们将通过测量指尖的力量和运动来推断手指和肌腱器官的解剖学描述，这些力量和运动分别响应于计算机控制的身体驱动系统自动产生的最小数量的肌腱张力和偏移。 未来目标：确定肌腱装置的结构、功能和易损性将对临床产生重大影响。这项工作将导致理解为什么和如何损伤肌腱装置，或肌肉失衡，经常导致畸形，病理性的手指运动和力量缺陷。

DESCRIPTION (provided by applicant): Anatomical descriptions of the hand have failed to explain the vulnerabilities and unsatisfactory outcomes to even slight damage to its network of tendinous interconnections. We propose that these classical anatomical descriptions do not capture the severe functional interdependence among its multiple elements. We will use an alternative structural inference approach base on bioinformatic testing of cadaver specimens to find the sensitivities and vulnerabilities of the tendinous apparatus. Hypothesis I: Classical anatomical descriptions of the tendinous apparatus do not capture the interdependencies among tendons and therefore fail to explain the vulnerability of finger function to injury. Hypothesis II: Anatomical descriptions inferred directly from finger force and motion data are better than classical descriptions at capturing the interdependencies among tendons and explain how injury results in deformity and pathologic finger motion. Aim 1: Quantify the fidelity of classical anatomical descriptions by comparing predicted vs. measured static fingertip forces and unloaded finger motions in a variety of postures. Aim 2: Mathematically infer alternative anatomical descriptions from cadaver data, and quantify their fidelity by comparing predicted vs. measured static fingertip forces and unloaded finger motions in a variety of postures. Aim 3: Validate the clinical usefulness of the best resulting anatomical descriptions by performing selective injuries in cadaver hands, and comparing predicted vs. measured deformity and pathologic finger motion. This work is made possible by our novel and validated data-driven bioinformatics approach to infer the functional structure of complex physical systems by autonomously interrogating them. We will infer anatomical descriptions of the fingers and tendinous apparatus by measuring fingertip forces and motion in response to a minimal number of automatically generated tendon tensions and excursions, respectively, delivered by a computer-controlled cadaver actuation system. Future Aims: Establishing the structure, function and vulnerabilities of the tendinous apparatus will have great clinical impact. This work will lead to understanding why and how injuries to the tendinous apparatus, or muscle imbalances, often result in deformity, pathologic finger motion and force deficits