Santos Fernando P, Maciel Carlos D, Newland Philip L
Faculty of Electrical Engineering, Federal University of Uberlândia, Av. João Naves de Ávila, 2160, Bloco 3N, Uberlândia, 38408-100, MG, Brazil.
Signal Processing Laboratory, Department of Electrical Engineering, University of São Paulo, Av. Trabalhador Sãocarlense, 400, São Carlos, 13566-590, SP, Brazil.
J Comput Neurosci. 2017 Oct;43(2):159-171. doi: 10.1007/s10827-017-0656-6. Epub 2017 Aug 9.
Directed information transfer measures are increasingly being employed in modeling neural system behavior due to their model-free approach, applicability to nonlinear and stochastic signals, and the potential to integrate repetitions of an experiment. Intracellular physiological recordings of graded synaptic potentials provide a number of additional challenges compared to spike signals due to non-stationary behaviour generated through extrinsic processes. We therefore propose a method to overcome this difficulty by using a preprocessing step based on Singular Spectrum Analysis (SSA) to remove nonlinear trends and discontinuities. We apply the method to intracellular recordings of synaptic responses of identified motor neurons evoked by stimulation of a proprioceptor that monitors limb position in leg of the desert locust. We then apply normalized delayed transfer entropy measures to neural responses evoked by displacements of the proprioceptor, the femoral chordotonal organ, that contains sensory neurones that monitor movements about the femoral-tibial joint. We then determine the consistency of responses within an individual recording of an identified motor neuron in a single animal, between repetitions of the same experiment in an identified motor neurons in the same animal and in repetitions of the same experiment from the same identified motor neuron in different animals. We found that delayed transfer entropy measures were consistent for a given identified neuron within and between animals and that they predict neural connectivity for the fast extensor tibiae motor neuron.
由于其无模型方法、对非线性和随机信号的适用性以及整合实验重复的潜力，定向信息传递测量越来越多地被用于对神经系统行为进行建模。与尖峰信号相比，分级突触电位的细胞内生理记录带来了许多额外的挑战，因为外部过程会产生非平稳行为。因此，我们提出了一种方法来克服这一困难，即使用基于奇异谱分析（SSA）的预处理步骤来消除非线性趋势和不连续性。我们将该方法应用于通过刺激监测沙漠蝗虫腿部肢体位置的本体感受器所诱发的特定运动神经元的突触反应的细胞内记录。然后，我们将归一化延迟转移熵测量应用于本体感受器（股弦音器官）位移所诱发的神经反应，该器官包含监测股胫关节周围运动的感觉神经元。然后，我们确定在单个动物中特定运动神经元的单个记录内、同一动物中特定运动神经元的同一实验重复之间以及不同动物中同一特定运动神经元的同一实验重复之间反应的一致性。我们发现，延迟转移熵测量在动物内部和动物之间对于给定的特定神经元是一致的，并且它们可以预测快速伸胫运动神经元的神经连接性。
