Computational Modeling of Spinal Locomotor Circuitry in the Age of Molecular Genetics.
Computational Modeling of Spinal Locomotor Circuitry in the Age of Molecular Genetics.
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DOI：
10.3390/ijms22136835
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发表时间：
2021-06-25
影响因子：
5.6
通讯作者：
Danner SM
中科院分区：
文献类型：
--
作者：
Ausborn J;Shevtsova NA;Danner SM
脊髓中的神经元回路对运动的控制是必不可少的。它们整合了脊髓上的指令和传入反馈信号，以产生稳定运动所必需的协调的有节奏的肌肉激活。几十年来，计算模型通过为实验观察提供机制基础，并通过推导出可通过实验验证的预测来补充实验研究。实验方法和计算方法之间的这种共生关系导致了许多基本的见解。随着分子和遗传学方法的最新进展，操纵脊髓回路的特定组成元素并将它们与运动行为联系起来已经成为可能。这导致了计算建模研究，在遗传定义的神经元群体及其相互作用的水平上研究机制。我们从计算的角度回顾了有关脊髓运动回路的文献。通过回顾导致和在分子遗传学时代的例子，我们论证了计算模型的重要性及其与实验的相互作用。展望未来，在基因定义的神经元群体水平上模拟神经元电路的神经力学模型将被要求进一步揭示神经元相互作用导致运动行为的机制。
Neuronal circuits in the spinal cord are essential for the control of locomotion. They integrate supraspinal commands and afferent feedback signals to produce coordinated rhythmic muscle activations necessary for stable locomotion. For several decades, computational modeling has complemented experimental studies by providing a mechanistic rationale for experimental observations and by deriving experimentally testable predictions. This symbiotic relationship between experimental and computational approaches has resulted in numerous fundamental insights. With recent advances in molecular and genetic methods, it has become possible to manipulate specific constituent elements of the spinal circuitry and relate them to locomotor behavior. This has led to computational modeling studies investigating mechanisms at the level of genetically defined neuronal populations and their interactions. We review literature on the spinal locomotor circuitry from a computational perspective. By reviewing examples leading up to and in the age of molecular genetics, we demonstrate the importance of computational modeling and its interactions with experiments. Moving forward, neuromechanical models with neuronal circuitry modeled at the level of genetically defined neuronal populations will be required to further unravel the mechanisms by which neuronal interactions lead to locomotor behavior.
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DOI：
10.1073/pnas.1419045111
发表时间：
2014-11-25
影响因子：
11.1
作者：
Akay, Turgay;Tourtellotte, Warren G.;Jessell, Thomas M.
通讯作者：
Jessell, Thomas M.
影响因子：
2.4
作者：
Baruzzi, V.;Lodi, M.;Shilnikov, A.
通讯作者：
Shilnikov, A.
影响因子：
2.5
作者：
BRODIN, L;TRAVEN, HGC;GRILLNER, S
通讯作者：
GRILLNER, S
DOI：
10.1007/978-1-4939-3267-2_8
发表时间：
2016-01-01
期刊：
NEUROMECHANICAL MODELING OF POSTURE AND LOCOMOTION
影响因子：
--
作者：
Aoi, Shinya
通讯作者：
Aoi, Shinya
影响因子：
7.7
作者：
Ausborn, Jessica;Shevtsova, Natalia A.;Rybak, Ilya A.
通讯作者：
Rybak, Ilya A.