Li Kaijie, Lu Junfeng, Yu Renping, Zhang Rui, Chen Mingming
Henan Key Laboratory of Brain Science and Brain-Computer Interface Technology, School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, P. R. China.
Research Center for Intelligent Science and Engineering Technology of Traditional Chinese Medicine, School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, P. R. China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2023 Aug 25;40(4):700-708. doi: 10.7507/1001-5515.202212024.
Uncovering the alterations of neural interactions within the brain during epilepsy is important for the clinical diagnosis and treatment. Previous studies have shown that the phase-amplitude coupling (PAC) can be used as a potential biomarker for locating epileptic zones and characterizing the transition of epileptic phases. However, in contrast to the θ-γ coupling widely investigated in epilepsy, few studies have paid attention to the β-γ coupling, as well as its potential applications. In the current study, we use the modulation index (MI) to calculate the scalp electroencephalography (EEG)-based β-γ coupling and investigate the corresponding changes during different epileptic phases. The results show that the β-γ coupling of each brain region changes with the evolution of epilepsy, and in several brain regions, the β-γ coupling decreases during the ictal period but increases in the post-ictal period, where the differences are statistically significant. Moreover, the alterations of β-γ coupling between different brain regions can also be observed, and the strength of β-γ coupling increases in the post-ictal period, where the differences are also significant. Taken together, these findings not only contribute to understanding neural interactions within the brain during the evolution of epilepsy, but also provide a new insight into the clinical treatment.
揭示癫痫发作期间大脑内神经相互作用的变化对于临床诊断和治疗至关重要。先前的研究表明,相位-振幅耦合(PAC)可作为定位癫痫病灶和表征癫痫发作期转换的潜在生物标志物。然而,与癫痫中广泛研究的θ-γ耦合不同,很少有研究关注β-γ耦合及其潜在应用。在本研究中,我们使用调制指数(MI)来计算基于头皮脑电图(EEG)的β-γ耦合,并研究不同癫痫发作期的相应变化。结果表明,每个脑区的β-γ耦合随癫痫发作的演变而变化,在几个脑区,β-γ耦合在发作期降低,但在发作后期增加,差异具有统计学意义。此外,还可观察到不同脑区之间β-γ耦合的变化,且β-γ耦合强度在发作后期增加,差异也很显著。综上所述,这些发现不仅有助于理解癫痫发作演变过程中大脑内的神经相互作用,还为临床治疗提供了新的见解。