High-speed simulation of developmental motor disorders

发育性运动障碍的高速模拟

基本信息

批准号：
8018951
负责人：
Terence D Sanger
金额：
$ 33.81万
依托单位：
UNIVERSITY OF SOUTHERN CALIFORNIA
依托单位国家：
美国
项目类别：
财政年份：
2010
资助国家：
美国
起止时间：
2010-02-01 至 2013-12-31
项目状态：
已结题

项目摘要

DESCRIPTION (provided by applicant): When the brain is injured during development, there is an effect not only on immediate brain function but also on the future ability to learn and acquire skills. We propose to create and simulate multi-scale computational models of the effect of early structural injury on future motor function of the cortex and spinal cord. We will use programmable chips (FPGA's) and the new mathematical theory of "Likelihood Calculus" to build simulations of 300,000 neurons that run 500 times faster than real-time. The model will be fitted to electromyographic and kinematic data from children at two visits spaced one year apart, and predictions will be tested by comparison to a third visit one year later. High speed simulation of the effect of early injury has the potential to revolutionize the treatment of developmental neurological deficits because it can, in one week, simulate 10 years of future change. In doing so, it allows prediction of disease progression, prediction of the future effects of treatments, and detailed understanding of the interaction between brain injury and resulting disorders of movement, perception, and behavior. Because of these predictions, we can intervene much earlier with treatments customized to each patient's disease profile. With early intervention, it may be possible to attenuate or block the natural progression of their disease. With over 750,000 US children and adults affected by developmental brain disorders, early acquired brain injury, or childhood progressive brain disease, the applicability and potential impact of an early intervention and disease prediction technique are significant.

描述（由申请人提供）：当大脑在发育过程中受伤时，不仅会影响当前的大脑功能，还会影响未来学习和获得技能的能力。我们建议创建并模拟早期结构损伤对皮质和脊髓未来运动功能影响的多尺度计算模型。我们将使用可编程芯片 (FPGA) 和“似然演算”的新数学理论来构建 300,000 个神经元的模拟，其运行速度比实时速度快 500 倍。该模型将根据相隔一年的两次访问的儿童的肌电图和运动学数据进行拟合，并通过与一年后的第三次访问进行比较来测试预测。对早期损伤影响的高速模拟有可能彻底改变发育性神经缺陷的治疗，因为它可以在一周内模拟未来 10 年的变化。通过这样做，它可以预测疾病进展，预测治疗的未来效果，并详细了解脑损伤与由此产生的运动、感知和行为障碍之间的相互作用。由于这些预测，我们可以更早地进行干预，根据每位患者的疾病状况定制治疗方法。通过早期干预，有可能减轻或阻止疾病的自然进展。美国有超过 750,000 名儿童和成人受到发育性脑部疾病、早期获得性脑损伤或儿童进行性脑部疾病的影响，早期干预和疾病预测技术的适用性和潜在影响非常重要。