Suppr超能文献

基于锁相幅度关系定量神经系统中的非线性相互作用。

Quantifying the Nonlinear Interaction in the Nervous System Based on Phase-Locked Amplitude Relationship.

出版信息

IEEE Trans Biomed Eng. 2020 Sep;67(9):2638-2645. doi: 10.1109/TBME.2020.2967079. Epub 2020 Jan 16.

Abstract

OBJECTIVE

This paper introduces the Cross-frequency Amplitude Transfer Function (CATF), a model-free method for quantifying nonlinear stimulus-response interaction based on phase-locked amplitude relationship.

METHOD

The CATF estimates the amplitude transfer from input frequencies at stimulation signal to their harmonics/intermodulation at the response signal. We first verified the performance of CATF in simulation tests with systems containing a static nonlinear function and a linear dynamic, i.e., Hammerstein and Wiener systems. We then applied the CATF to investigate the second-order nonlinear amplitude transfer in the human proprioceptive system from the periphery to the cortex.

RESULT

The simulation demonstrated that the CATF is a general method, which can well quantify nonlinear stimulus-response amplitude transfer for different orders of nonlinearity in Wiener or Hammerstein system configurations. Applied to the human proprioceptive system, we found a complicated nonlinear system behavior with substantial amplitude transfer from the periphery stimulation to cortical response signals in the alpha band. This complicated system behavior may be associated with the nonlinear behavior of the muscle spindle and the dynamic interaction in the thalamocortical radiation.

CONCLUSION

This paper provides a new tool to identify nonlinear interaction in the nervous system.

SIGNIFICANCE

The results provide novel insight of nonlinear dynamics in the human proprioceptive system.

摘要

目的

本文介绍了交频振幅传递函数(CATF),这是一种基于锁相振幅关系的无模型方法,用于量化非线性刺激-反应相互作用。

方法

CATF 估计了刺激信号输入频率与其响应信号谐波/互调之间的振幅传递。我们首先通过包含静态非线性函数和线性动态的系统(即 Hammerstein 和 Wiener 系统)的仿真测试验证了 CATF 的性能。然后,我们应用 CATF 研究了从外周到皮层的人体本体感觉系统中的二阶非线性振幅传递。

结果

仿真表明,CATF 是一种通用方法,可很好地量化 Wiener 或 Hammerstein 系统配置中不同阶数的非线性刺激-反应振幅传递。应用于人体本体感觉系统,我们发现了一个复杂的非线性系统行为,在外周刺激到皮层反应信号的 alpha 波段有大量的振幅传递。这种复杂的系统行为可能与肌梭的非线性行为和丘脑皮质辐射中的动态相互作用有关。

结论

本文提供了一种识别神经系统中非线性相互作用的新工具。

意义

结果为人体本体感觉系统中的非线性动力学提供了新的见解。

相似文献

1
Quantifying the Nonlinear Interaction in the Nervous System Based on Phase-Locked Amplitude Relationship.
IEEE Trans Biomed Eng. 2020 Sep;67(9):2638-2645. doi: 10.1109/TBME.2020.2967079. Epub 2020 Jan 16.
2
A Generalized Coherence Framework for Detecting and Characterizing Nonlinear Interactions in the Nervous System.
IEEE Trans Biomed Eng. 2016 Dec;63(12):2629-2637. doi: 10.1109/TBME.2016.2585097. Epub 2016 Jun 27.
3
Nonparametric block-structured modeling of lung tissue strip mechanics.
Ann Biomed Eng. 1998 Mar-Apr;26(2):242-52. doi: 10.1114/1.119.
4
Identification of a class of Wiener and Hammerstein-type nonlinear processes with monotonic static gains.
ISA Trans. 2010 Oct;49(4):501-9. doi: 10.1016/j.isatra.2010.04.006. Epub 2010 May 15.
6
Identification of static nonlinearities by sinusoidal excitation with variable DC offsets.
Rev Sci Instrum. 2021 Mar 1;92(3):035103. doi: 10.1063/5.0036696.
7
A General Approach for Quantifying Nonlinear Connectivity in the Nervous System Based on Phase Coupling.
Int J Neural Syst. 2016 Feb;26(1):1550031. doi: 10.1142/S0129065715500318. Epub 2015 Aug 11.
9
Identification of Hammerstein systems using subspace methods with applications to ankle joint stiffness.
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:4367-70. doi: 10.1109/IEMBS.2009.5333593.
10
Nonlinearization: naturalistic stimulation and nonlinear dynamic behavior in a spider mechanoreceptor.
Biol Cybern. 2018 Oct;112(5):403-413. doi: 10.1007/s00422-018-0763-0. Epub 2018 Jun 18.

引用本文的文献

1
Fascicle dynamics of the tibialis anterior muscle reflect whole-body walking economy.
Sci Rep. 2023 Mar 22;13(1):4660. doi: 10.1038/s41598-023-31501-2.
2
Nonlinear System Identification of Neural Systems from Neurophysiological Signals.
Neuroscience. 2021 Mar 15;458:213-228. doi: 10.1016/j.neuroscience.2020.12.001. Epub 2020 Dec 11.
3
Assessing Neural Connectivity and Associated Time Delays of Muscle Responses to Continuous Position Perturbations.
Ann Biomed Eng. 2021 Jan;49(1):432-440. doi: 10.1007/s10439-020-02573-2. Epub 2020 Jul 23.

本文引用的文献

1
Cross-Frequency Coupling in Descending Motor Pathways: Theory and Simulation.
Front Syst Neurosci. 2020 Jan 14;13:86. doi: 10.3389/fnsys.2019.00086. eCollection 2019.
2
A Novel Approach for Modeling Neural Responses to Joint Perturbations Using the NARMAX Method and a Hierarchical Neural Network.
Front Comput Neurosci. 2018 Dec 6;12:96. doi: 10.3389/fncom.2018.00096. eCollection 2018.
3
Unveiling neural coupling within the sensorimotor system: directionality and nonlinearity.
Eur J Neurosci. 2018 Oct;48(7):2407-2415. doi: 10.1111/ejn.13692. Epub 2017 Oct 6.
4
Nonlinear Coupling between Cortical Oscillations and Muscle Activity during Isotonic Wrist Flexion.
Front Comput Neurosci. 2016 Dec 6;10:126. doi: 10.3389/fncom.2016.00126. eCollection 2016.
5
Nonlinear Connectivity in the Human Stretch Reflex Assessed by Cross-Frequency Phase Coupling.
Int J Neural Syst. 2016 Dec;26(8):1650043. doi: 10.1142/S012906571650043X. Epub 2016 Jun 6.
6
A Generalized Coherence Framework for Detecting and Characterizing Nonlinear Interactions in the Nervous System.
IEEE Trans Biomed Eng. 2016 Dec;63(12):2629-2637. doi: 10.1109/TBME.2016.2585097. Epub 2016 Jun 27.
7
Quantifying Nonlinear Contributions to Cortical Responses Evoked by Continuous Wrist Manipulation.
IEEE Trans Neural Syst Rehabil Eng. 2017 May;25(5):481-491. doi: 10.1109/TNSRE.2016.2579118. Epub 2016 Jun 9.
8
Nonlinear interactions in the thalamocortical loop in essential tremor: A model-based frequency domain analysis.
Neuroscience. 2016 Jun 2;324:377-89. doi: 10.1016/j.neuroscience.2016.03.028. Epub 2016 Mar 14.
9
A General Approach for Quantifying Nonlinear Connectivity in the Nervous System Based on Phase Coupling.
Int J Neural Syst. 2016 Feb;26(1):1550031. doi: 10.1142/S0129065715500318. Epub 2015 Aug 11.
10

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验