Salimpour Yousef, Nayak Anish, Naydanova Elizaveta, Kim Min Jae, Hwang Brian Y, Mills Kelly A, Kudela Pawel, Anderson William S
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:3590-3593. doi: 10.1109/EMBC44109.2020.9175966.
Phase-amplitude coupling (PAC), in which the amplitude of a faster neural oscillation couples to the phase of a slower rhythm, is one of the most common representations of complex neuronal rhythmic activities. In a healthy brain, PAC accompanies cognitive function, and abnormal patterns of PAC have been linked to several neurological disorders. Among the various brain neuromodulation techniques, phase-dependent stimulation has a strong potential to modulate PAC levels. In this study, we utilize a computational model in the NEURON environment based on a detailed mathematical model of neuronal populations, consisting of networks with both excitatory and inhibitory neurons, to simulate PAC generation. The model was then used to investigate the modulatory effects of phase-dependent stimulation on the generated PAC. Simulated data from the model shows that stimulation locked to the phase of slower rhythms increased PAC level during stimulation. These results demonstrate the capacity of phase-dependent stimulation to modulate PAC, which could allow for applications in the treatment of neurological disorders associated with abnormal PAC, such as Parkinson's disease.Clinical Relevance- Analyzing the origins of neuronal PAC and developing a brain stimulation technique for modulating the level of PAC can facilitate the development of novel treatment methods for neurological disorders associated with abnormal cross-frequency coupling.
相位-振幅耦合（PAC）是指较快神经振荡的振幅与较慢节律的相位耦合，它是复杂神经元节律活动最常见的表现形式之一。在健康大脑中，PAC伴随着认知功能，而PAC的异常模式与多种神经系统疾病有关。在各种脑神经调节技术中，相位依赖性刺激具有调节PAC水平的强大潜力。在本研究中，我们在NEURON环境中利用一个基于神经元群体详细数学模型的计算模型，该模型由包含兴奋性和抑制性神经元的网络组成，来模拟PAC的产生。然后使用该模型研究相位依赖性刺激对所产生的PAC的调节作用。该模型的模拟数据表明，与较慢节律的相位锁定的刺激在刺激期间增加了PAC水平。这些结果证明了相位依赖性刺激调节PAC的能力，这可能使其应用于治疗与异常PAC相关的神经系统疾病，如帕金森病。临床意义——分析神经元PAC的起源并开发一种用于调节PAC水平的脑刺激技术，可以促进与异常交叉频率耦合相关的神经系统疾病新治疗方法的开发。
