Faculty of Engineering, Uninettuno University, Rome, Italy.
Istituto di Scienze e Tecnologie della Cognizione, Consiglio Nazionale delle Ricerche, Rome, Italy.
Adv Neurobiol. 2024;36:659-675. doi: 10.1007/978-3-031-47606-8_33.
The neuronal ongoing electrical activity in the brain network, the neurodynamics, reflects the structure and functionality of generating neuronal pools. The activity of neurons due to their excitatory and inhibitory projections is associated with specific brain functions. Here, the purpose was to investigate if the local ongoing electrical activity exhibits its characteristic spectral and fractal features in wakefulness and sleep across and within subjects. Moreover, we aimed to show that measures typical of complex systems catch physiological features missed by linear spectral analyses. For this study, we concentrated on the evaluation of the power spectral density (PSD) and Higuchi fractal dimension (HFD) measures. Relevant clinical impact of the specific features of neurodynamics identification stands primarily in the potential of classifying cortical parcels according to their neurodynamics as well as enhancing the effectiveness of neuromodulation interventions to cure symptoms secondary to neuronal activity unbalances.
大脑网络中的神经元持续电活动,即神经动力学,反映了产生神经元池的结构和功能。由于神经元的兴奋和抑制投射,神经元的活动与特定的大脑功能相关。在这里,目的是研究局部持续电活动是否在不同个体和同一个体的清醒和睡眠中表现出其特征谱和分形特征。此外,我们旨在表明,典型的复杂系统度量可以捕捉到线性谱分析遗漏的生理特征。在这项研究中,我们专注于评估功率谱密度 (PSD) 和 Higuchi 分形维数 (HFD) 测量。神经动力学识别的特定特征的相关临床意义主要在于根据其神经动力学对皮质区进行分类的潜力,以及提高神经调节干预的效果,以治疗因神经元活动失衡引起的症状。