EEG dynamics in neurological disorders: Parkinson's disease and stroke

Yuvaraj Ramachandran Muthulakshmi, M. Murugappan, K. Sundaraj
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引用次数: 8

Abstract

The electroencephalogram (EEG) signals provide oscillatory dynamics and valuable information about brain function. In fact, this permits the detection of changes in neurological state which are especially useful in the limited clinical examinations. Perhaps, the close relationship of EEG metabolism with cerebral blood flow enables EEG to be useful in the sensitive evaluation of neurodegenerative disorders such as Parkinson disease (PD) and Stroke. In addition, significant advances have been made in neuroscience concerning the understanding of oscillatory brain activities with EEG. This article reviews main findings of EEG abnormalities in PD and Stroke patients performed in last few decades. This abnormal relationship is highly evident in assisting the affected people disorders and behaviors, such as depression, suicide, emotional deficits, aggression etc. Further studies in this field could benefit from new technological improvements in data acquisition, accuracy of differential diagnosis and early detection of disorders are proposed which helps in better understanding of normal and disturbed brain networks.
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脑电图动力学在神经系统疾病:帕金森病和中风
脑电图(EEG)信号提供了振荡动力学和有价值的脑功能信息。事实上,这允许检测神经状态的变化,这在有限的临床检查中特别有用。也许,脑电图代谢与脑血流的密切关系使脑电图在神经退行性疾病(如帕金森病(PD)和中风)的敏感评估中有用。此外,在脑电图对振荡脑活动的理解方面,神经科学也取得了重大进展。本文综述了近几十年来PD和脑卒中患者脑电图异常的主要发现。这种不正常的关系在帮助受影响的人的障碍和行为,如抑郁、自杀、情绪缺陷、攻击等方面非常明显。该领域的进一步研究可能受益于数据采集、鉴别诊断准确性和疾病早期检测方面的新技术改进,这有助于更好地理解正常和紊乱的大脑网络。
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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