Structure & function of the fingers tendinous apparatus

结构

• 批准号: 7555267
• 负责人: Francisco J Valero-Cuevas
• 金额: $ 26.22万
• 依托单位: UNIVERSITY OF SOUTHERN CALIFORNIA
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-05-15 至 2009-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7555267
• 关键词: Basic Science; Bioinformatics; Cadaver; Clinical; Clinical Research; Complex; Computers; Coupling; Data; Deformity; Disease; Elements; Environment; Fingers; Future; Hand; Injury; Lead; Measures; Motion; Muscle; Neurologic; Numbers; Outcome; Pathologic; Posture; Simulate; Specimen; Structure; System; Tendon structure; Testing; Work; base; grasp; motor control; novel; relating to nervous system; response

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

描述（由申请人提供）：手部的解剖学描述未能解释手部的脆弱性和令人不满意的结果，甚至对其肌腱互连网络造成轻微损坏。我们认为，这些经典的解剖学描述并没有捕捉到其多个元素之间严重的功能相互依赖性。我们将使用另一种基于尸体标本的生物信息学测试的结构推断方法来发现肌腱装置的敏感性和脆弱性。 假设一：传统的腱性器官的解剖学描述并没有捕捉到肌腱之间的相互依赖性，因此无法解释手指功能对损伤的脆弱性。假设二：直接从手指力和运动数据推断的解剖描述在捕获肌腱之间的相互依赖性方面优于经典描述，并解释了损伤如何导致畸形和病理性手指运动。 目标1：通过比较预测与测量的静态指尖力和各种姿势下的无负荷手指运动，量化经典解剖学描述的保真度。目标二：从尸体数据中以数学方式推断替代解剖描述，并通过比较预测与测量的静态指尖力和各种姿势下的空载手指运动来量化其保真度。目标3：通过在尸体手中进行选择性损伤，并比较预测与测量的畸形和病理手指运动，验证最佳解剖描述的临床实用性。 这项工作是由我们的新的和验证的数据驱动的生物信息学方法，通过自主询问它们来推断复杂物理系统的功能结构。我们将通过测量指尖的力和运动来推断手指和肌腱装置的解剖学描述，指尖的力和运动响应于由计算机控制的尸体致动系统分别提供的最小数量的自动生成的肌腱张力和偏移。 未来的目标：建立肌腱的结构，功能和脆弱性将有很大的临床影响。这项工作将导致理解为什么以及如何损伤腱装置，或肌肉失衡，往往导致畸形，病理手指运动和力量不足