Spinal Cord Injury: Automatic Scoring of Motor Function

脊髓损伤：运动功能自动评分

• 批准号: 6695163
• 负责人: Daniela Brunner
• 金额: $ 23.46万
• 依托单位: PSYCHOGENICS, INC.
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-15 至 2005-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6695163
• 关键词: artificial intelligence; computer system design /evaluation; gait; laboratory rat; limb movement; psychomotor function; spinal cord injury

DESCRIPTION (provided by applicant): Disorders of motor function due to accidental injury, stroke and neurodegenerative disorders, together with disorders of mental health, are the most crippling human ailments. One common result of mechanical insult is spinal cord injury (SCI), in which damage of the spinal cord by contusion, compression or laceration causes loss of sensation, motor and reflex function below the point of injury. Other symptoms of SCI may include bowel and bladder dysfunction, hyperalgesia and sexual dysfunction. Although many SCI patients survive injury, major chronic dysfunction is the most common outcome. There are approximately 10,000 new cases of spinal cord injury (SCI) in the U.S each year. In contrast to the relatively small acute patient population, chronic SCI, involving approximately 200,000-250,000 people in this country, is extremely expensive to society, both in terms of human and economic costs. Because most SCI victims are under age 30 at the time of their injury, and most now live a near-normal life span, direct medical costs average $2 million per patient over a lifetime, and approximately $5 billion total per year in the US only. Therefore, any drug or intervention that can positively improve the quality of life of patients suffering from SCI is likely to have a greater financial impact than would be expected simply from the cost of acute injury each year. Animal models for SCI and other conditions that affect gait and motor coordination are successfully used today to develop new treatments. Assessing the level of motor dysfunction in an animal model is a difficult challenge as most researchers rely on the subjective scoring of symptoms. We propose here to build a system that will allow a more objective, faster and consistent assessment of the level of injury and course of recovery in rat and mouse models of SCI that can be applied in the future to other gait and motor coordination disorders. An artificial intelligent system based on computer vision will be developed to capture and score gait and motor coordination in rodents and will be validated against the standard scores of motor function obtained using the methods of Basso, Beattie, and Bresnahan (1995) for the rat model of SCI.

描述（由申请人提供）：意外伤害导致的运动功能障碍、中风和神经退行性疾病，以及精神健康障碍，是最严重的人类疾病。机械性损伤的一个常见结果是脊髓损伤（SCI），脊髓损伤由挫伤、压迫或撕裂引起损伤点以下的感觉、运动和反射功能丧失。脊髓损伤的其他症状可能包括肠道和膀胱功能障碍、痛觉过敏和性功能障碍。虽然许多脊髓损伤患者存活，但主要的慢性功能障碍是最常见的结果。在美国，每年大约有10,000例新的脊髓损伤（SCI）病例。与相对较小的急性患者群体相比，慢性SCI在这个国家大约涉及20 -25万人，对社会来说，无论是在人力成本还是经济成本方面都是极其昂贵的。由于大多数脊髓损伤患者在受伤时不到30岁，而且大多数人现在的寿命接近正常，因此每位患者一生的直接医疗费用平均为200万美元，仅在美国每年就大约为50亿美元。因此,任何