Clinical Sensitivity of Fractal Neurodynamics.

Q3 Neuroscience
Elzbieta Olejarczyk, Milena Cukic, Camillo Porcaro, Filippo Zappasodi, Franca Tecchio
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引用次数: 0

Abstract

Among the significant advances in the understanding of the organization of the neuronal networks that coordinate the body and brain, their complex nature is increasingly important, resulting from the interaction between the very large number of constituents strongly organized hierarchically and at the same time with "self-emerging." This awareness drives us to identify the measures that best quantify the "complexity" that accompanies the continuous evolutionary dynamics of the brain. In this chapter, after an introductory section (Sect. 15.1), we examine how the Higuchi fractal dimension is able to perceive physiological processes (15.2), neurological (15.3) and psychiatric (15.4) disorders, and neuromodulation effects (15.5), giving a mention of other methods of measuring neuronal electrical activity in addition to electroencephalography, such as magnetoencephalography and functional magnetic resonance. Conscious that further progress will support a deeper understanding of the temporal course of neuronal activity because of continuous interaction with the environment, we conclude confident that the fractal dimension has begun to uncover important features of the physiology of brain activity and its alterations.

分形神经动力学的临床敏感性
在对协调身体和大脑的神经元网络组织的认识方面取得的重大进展中,其复杂性日益重要,这是大量具有强烈层次组织的成分之间相互作用的结果,同时还具有 "自我出现 "的特点。这种意识促使我们找出最能量化大脑持续进化动态的 "复杂性 "的测量方法。在本章中,在导言部分(第 15.1 节)之后,我们将研究樋口分形维度如何能够感知生理过程(15.2)、神经系统(15.3)和精神疾病(15.4)以及神经调控效应(15.5),并提及脑电图之外的其他神经元电活动测量方法,如脑磁图和功能磁共振。我们意识到,由于与环境的持续互动,进一步的进展将有助于更深入地了解神经元活动的时间进程,因此我们坚信,分形维度已开始揭示大脑活动及其变化的生理学的重要特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Advances in neurobiology
Advances in neurobiology Neuroscience-Neurology
CiteScore
2.80
自引率
0.00%
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