An experimental and computational framework for modeling multi-muscle responses to transcranial magnetic stimulation of the human motor cortex.
An experimental and computational framework for modeling multi-muscle responses to transcranial magnetic stimulation of the human motor cortex.
复制标题
用于模拟人类运动皮层经颅磁刺激的多肌肉反应的实验和计算框架。
DOI：
10.1109/ner.2019.8717159
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Tunik,Eugene
中科院分区：
文献类型：
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作者：
Yarossi,Mathew;Quivira,Fernando;Dannhauer,Moritz;Sommer,MarcA;Brooks,DanaH;Erdoğmuş,Deniz;Tunik,Eugene
目前关于多块肌肉协调运动控制的知识主要来源于动物模型的侵入性刺激记录技术。类似的研究在人类中通常不可行，因此需要一个建模框架来促进从动物研究中获得的知识转移。我们描述了这样一个框架，该框架使用深度神经网络模型将运动皮层经颅磁刺激诱导电场（E-fields）的有限元模拟映射到多肌肉激活的记录。重要的是，我们表明，当我们结合经验推导的电场生理学模型到神经元放电率和通过肌肉协同作用的低维控制时，模型泛化得到了改善。
Current knowledge of coordinated motor control of multiple muscles is derived primarily from invasive stimulation-recording techniques in animal models. Similar studies are not generally feasible in humans, so a modeling framework is needed to facilitate knowledge transfer from animal studies. We describe such a framework that uses a deep neural network model to map finite element simulation of transcranial magnetic stimulation induced electric fields (E-fields) in motor cortex to recordings of multi-muscle activation. Critically, we show that model generalization is improved when we incorporate empirically derived physiological models for E-field to neuron firing rate and low-dimensional control via muscle synergies.