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生物信息学框架下亨廷顿舞蹈症的诊断评估

Diagnostic Evaluation of Huntington's Disease Within the Frame of Bioinformatics.

作者信息

Bobori Catherine

机构信息

Bioinformatics and Human Electrophysiology Laboratory (BiHELab), Department of Informatics, Ionian University, 7 Tsirigoti Square, Corfu, Greece.

出版信息

Adv Exp Med Biol. 2017;987:109-118. doi: 10.1007/978-3-319-57379-3_11.

Abstract

Huntington's disease is an autosomal dominant neurodegenerative disorder characterized by motor and cognitive impairment. At the early stages of the disease scientists have observed psychological changes and differences in patients' alpha, beta and theta powers. The early diagnosis of Huntington's disease is very important in order to administrate the correct medication to the patients and slow down the progress of the disease. This paper aims to suggest a protocol in which experiments could be based on, in an attempt to make an early diagnosis of the disease by taking into consideration the patients' electroencephalographic recordings during the early stages of the disease, as well as the methods of processing and classifying those EEG signals.

摘要

亨廷顿舞蹈症是一种常染色体显性神经退行性疾病,其特征为运动和认知功能受损。在疾病早期,科学家们观察到患者存在心理变化以及α波、β波和θ波功率的差异。亨廷顿舞蹈症的早期诊断对于给患者施用正确药物并减缓疾病进展非常重要。本文旨在提出一个可供实验依据的方案,试图通过考虑疾病早期患者的脑电图记录以及这些脑电信号的处理和分类方法来对该疾病进行早期诊断。

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