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首页> 外文会议>2012 IEEE Student Conference on Research and Development >EEG dynamics in neurological disorders: Parkinson's disease and stroke
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EEG dynamics in neurological disorders: Parkinson's disease and stroke

机译：神经疾病中的脑电动力学：帕金森氏病和中风

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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.
机译：脑电图（EEG）信号提供振荡动态和有关脑功能的有价值的信息。实际上，这允许检测神经系统状态的变化，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量的密切关系使脑电图可用于敏感评估神经退行性疾病，如帕金森病（PD）和中风。此外，在神经科学方面，关于对脑电图对振荡性大脑活动的理解方面取得了重大进展。本文回顾了过去几十年来在PD和卒中患者中脑电图异常的主要发现。这种异常的关系在帮助受影响的人的疾病和行为，例如抑郁症，自杀，情绪低落，攻击性等方面非常明显。该领域的进一步研究可以从数据采集，鉴别诊断的准确性和早期发现中的新技术改进中受益。提出了多种疾病，有助于更好地了解正常和受干扰的大脑网络。

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