EXPERIMENTAL TENSOR MODELING OF HEAD SENSORIMOTOR SYSTEM

头部感觉运动系统的实验张量建模

• 批准号: 3405915
• 负责人: ANDRAS J PELLIONISZ
• 金额: $ 14.7万
• 依托单位: NEW YORK UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 1986
• 资助国家: 美国
• 起止时间: 1986-07-01 至 1989-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/3405915
• 关键词: body movement; brain stem; computer graphics /printing; electromyography; electrostimulus; head movements; labyrinth; mathematical model; model design /development; muscle tension; neck; neural information processing; reflex; retina; sensorimotor system; vestibular pathway; vestibuloocular reflex

Substantial preliminary studies, and now also experimental results obtained by independent scientists abroad, demonstrate that the tensor model of CNS function, developed by the PI over a decade can quantitatively predict how neuronal networks implement sensorimotor transformations. These testable predictions are based upon the geometrical arrangement of the vestibular sensors and muscle effectors. For the experimental testing of the theory a system is selected where the geometry is known. There are no restrictions on the complexity of this geometry, since the model to be constructed can deal with systems where the coordinate frame may be non-orthoganal and the number of muscles may well exceed the number of degrees of freedom. The choice is the general, non-orthogonal, overcomplete system of the vestibulocollic reflex (VCR) a closed-loop sensorimotor system that generates neck-muscle motor signals that position the head, controlled by vestibular sensory signals arising directly from head movements. The analogous retinocollic reflex (RCR) will be compared to the VCR. The Co-PI's contribution in the past and the future is instrumental to the experimental definition of the function of the VCR & RCR, both in muscular response to body rotations and as revealed by the signals in neuronal pathways involved. The procedures developed for studying responses of the multicomponent vestibular and neck-muscle apparatus to rotations in three dimensions, will serve as ideal means for testing predictions of a tensorial model of the VCR. This convergence of experimental and theoretical approaches provides a rare opportunity for a collaborative study of VCR & RCR. Funds requested will be directed towards further constructing and testing a tensorial model of VCR & RCR, based on quantitative measurements of semicircular canal and neck muscle geometry and to relating the tensor model to experimental data. The model will be designed, constructed, tested, and applied to specific further experimental paradigms, such as cerebellectomy. Experimental tests include comparing measurements of spatial properties, such as dependency on rotational-directions, of VCR & RCR signals. They will be recorded from neck muscles and brainstem neurons, and results related to predictions of the model both for intact and cerebellectomized preparation. Tensorial modeling already appears to be passing these tests and thus is expected to become applicable to gaining understanding of other sensorimotor CNS functions, eventually facilitating rehabilitation of impaired sensorimotor function.

大量的初步研究，现在也取得了实验结果 由国外独立科学家，证明CNS的张量模型， 函数，由PI开发了十多年，可以定量预测 神经元网络实现感觉运动变换。 这些测试 预测是基于前庭的几何排列， 传感器和肌肉效应器。 为了对理论进行实验检验， 在几何形状已知的情况下选择系统。 没有任何限制 由于要构建的模型可以 处理坐标系可能是非正交的系统， 肌肉的数量可能远远超过自由度的数量。 的 选择是一般的，非正交的，过完备的系统， 前庭反射（VCR）是一种闭环感觉运动系统， 产生颈部肌肉运动信号来定位头部， 前庭感觉信号直接来自头部运动。 的 将类似的视网膜结肠反射（RCR）与VCR进行比较。 Co-PI在过去和未来的贡献有助于 VCR和RCR功能的实验定义，无论是在肌肉 对身体旋转的反应，以及神经元中的信号所揭示的 参与的途径。 为研究缔约国的答复而制定的程序， 多成分前庭和颈部肌肉装置旋转在三个 尺寸，将作为测试预测的理想手段， VCR的张量模型 这种实验性和 理论方法提供了一个难得的机会， VCR和RCR研究 申请的资金将用于进一步 构建和测试VCR & RCR的张量模型，基于 半规管和颈部肌肉几何形状的定量测量 以及将张量模型与实验数据相关联。 该车型将 设计、建造、测试并应用于具体的进一步实验 例如小脑切除术。 实验测试包括比较 空间属性的测量，例如对 VCR和RCR信号的旋转方向。 他们将被记录下来， 颈部肌肉和脑干神经元，以及与预测 完整和小脑切除制备模型。 张量 模型似乎已经通过了这些测试，因此预计 适用于了解其他感觉运动中枢神经系统 功能，最终促进受损感觉运动的康复 功能