High-speed simulation of developmental motor disorders

当大脑在发育过程中受伤时，不仅会对大脑的即时功能产生影响，而且会对未来的学习和获得技能的能力产生影响。我们建议建立和模拟早期结构损伤对未来皮层和脊髓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）和新的数学理论“似然演算”来构建30万个神经元的模拟，其运行速度比实时快500倍。该模型将与间隔一年两次访问的儿童的肌电图和运动学数据相匹配，并将通过与一年后第三次访问的比较来测试预测。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方法，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导致的运动、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，根据每个病人的疾病概况定制治疗。通过早期干预，有可能

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.