神经节律性的多尺度参数化与滞后的希尔伯特自连贯性
Siqi Zhang1,2,3, Maciej J Szul2,3,4, Sotirios Papadopoulos2,3,5
1The Sixty-Third Research Institute, National University of Defense Technology, Nanjing, China.
Imaging neuroscience (Cambridge, Mass.)
|November 13, 2025
概括
我们介绍了滞后的希尔伯特自相干 (LHaC),这是分析神经振荡的新方法. 通过提供更准确和更明确的信号节律性估计,特别是对于短暂事件,LHaC改进了现有技术.
科学领域:
- 系统和认知神经科学系统和认知神经科学
- 神经生理学 神经生理学
- 信号处理 信号处理
背景情况:
- 在神经科学中,分析不同频段的神经活动至关重要.
- 目前用于量化信号节奏性的方法,如基于富里埃的滞后自相一致性,具有包括频谱精度和分辨率差在内的局限性.
- 这些限制在更高的频率和低信号噪音比率范围内特别有问题.
研究的目的:
- 引入一种新的连续估计器,滞后的希尔伯特自相干 (LHaC),以克服分析神经振荡的现有方法的局限性.
- 在模拟中,将LHaC的经验行为与滞后的富里埃自相一致性 (LFaC) 进行比较.
- 证明LHaC在识别特定频率的节律差异和跟踪神经振荡与学习相关的变化方面具有实用的实用性.
主要方法:
- 开发了LHaC,一种使用频域乘法进行精确带宽过的连续估计器.
- 通过希尔伯特变换计算即时分析信号.
- 雇佣值使用相位混合替代数据的振幅共变量进行可靠的分析.
- 在控制节奏结构的模拟中比较LHaC与LFaC.
主要成果:
- 与LFaC相比,LHaC提供了比LFaC更多的光谱分辨率的节律性估计.
- LHaC对短暂,短暂的振荡事件的持续时间更敏感.
- 证明了LHaC在识别条件之间的频率特异性节律差异和跟踪与学习相关的神经振荡变化的有用性.
结论:
- 滞后的希尔伯特自相干 (LHaC) 为表征神经生理学节律性提供了一种精致而实用的方法.
- LHaC解决了以前方法的关键局限性,提高了振荡信号分析的准确性和分辨率.
- 该方法对推进系统和认知神经科学研究具有重大前景.
相关概念视频
01:23Propagation of Action Potentials
The propagation of an action potential refers to the process by which a nerve impulse, or "action potential," travels along a neuron.
Neurons (nerve cells) have a resting membrane potential, with a slightly negative charge inside compared to outside. This is maintained by ion channels, such as sodium (Na+) and potassium (K+) channels, which control the flow of ions. When a stimulus, like a touch or a signal from another neuron, triggers the neuron, sodium channels open, allowing sodium ions to...
Neurons (nerve cells) have a resting membrane potential, with a slightly negative charge inside compared to outside. This is maintained by ion channels, such as sodium (Na+) and potassium (K+) channels, which control the flow of ions. When a stimulus, like a touch or a signal from another neuron, triggers the neuron, sodium channels open, allowing sodium ions to...
01:28Integration of Synaptic Events
Synaptic integration mainly includes the summation of graded potentials. Graded potentials, regardless of their type, cause subtle alterations in membrane voltage, resulting in either depolarization or hyperpolarization. These incremental changes, when combined or summed, can propel the neuron toward its threshold. Consider, for example, a membrane experiencing a +15 mV shift, causing it to depolarize from -70 mV to -55 mV. In this scenario, graded potentials govern the membrane's ability to...
01:25Neural Circuits
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
01:21Entropy Changes Accompanying Specific Processes
Entropy, a measure of disorder in a system, changes during phase transitions like freezing or boiling. At the transition temperature Ttrs, where two phases are in equilibrium, the phase transition is a reversible process. The entropy change can be calculated from a substance's enthalpy of transition using the equation ΔStrs = ΔtrsH /Ttrs.When a perfect gas expands isothermally from one volume to another, entropy increases logarithmically with volume. Conversely, isothermal compression results...
01:26Classification of Systems-I
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
01:22Multi-input and Multi-variable systems
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
In the absence of...