Nonlinear analysis of local field potentials and motor cortex EEG in spinocerebellar ataxia 3
Nonlinear analysis of local field potentials and motor cortex EEG in spinocerebellar ataxia 3
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脊髓小脑共济失调 3 局部场电位和运动皮层脑电图的非线性分析
DOI：
10.1016/j.jocn.2018.10.018
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发表时间：
2019-01
影响因子：
2
通讯作者：
Wei Jianshe
中科院分区：
文献类型：
--
作者：
Yu Yi;He Xinqi;Zhao Zongya;Jiang Wenshuai;Pan Deng;Shi Lijuan;Xu Liuyang;Shi Liangliang;Gu Renjun;Wei Jianshe
本研究通过对SCA3小鼠和WT小鼠的分析，探索EEG在患者诊断中的潜在用途。自制的植入式电极被构建并植入，从大脑运动皮质和受疾病影响的小脑区提取脑电信号。用非线性动力学分析和脑电能量区分SCA3和WT小鼠，我们发现SCA3小鼠的这四个参数都增加了。SCA3组小鼠LZ复杂性的α带和theta带显著高于对照组。因此，可以通过阿尔法和西塔波段的LZ复杂性来区分这两组人。C0复杂性和近似熵分析表明，疾病组的随机性部分大于对照组，且SCA3小鼠的随机性增加。用Morris水迷宫测试分析小鼠的空间学习记忆能力，结果表明：在4天的训练中，与WT小鼠相比，SCa3小鼠的游泳速度、距离和到达平台的潜伏期均增加(p <； 0.0 5，0.0 1或0.001)。实验结果与脑电信号的结果相吻合。综上所述，脑电信号可用于识别小鼠的SCA3。它们也可能在临床上有助于诊断患者的小脑性共济失调，以及旨在加深对脊髓性脑性共济失调的了解的其他研究。
This study explores the potential usefulness of EEG for patient diagnosis by analyzing SCA3 and wt mice. Self-made implantable electrodes were constructed and implanted to extract EEG signals from the cerebral motor cortex and the cerebellar areas that are affected by the disease. Nonlinear dynamic analysis and EEG energy were used to distinguish between SCA3 and WT mice, and we found that all four were increased in SCA3 mice. The alpha and theta bands of LZ complexity were significantly higher in SCA3 mice than in the control group. Therefore, it was possible to distinguish between the two groups by the LZ complexity of their alpha and theta bands. Analysis of C0complexity and approximate entropy showed that the random part in the disease group was larger than in the control group, and that in addition the randomness was increased in SCA3 mice. The spatial learning and memory were analyzed by means of the Morris water maze test (MWM), The results showed that the swimming velocity, distance traveled and latency to reach the platform in SCA3 mice were increased when compared with WT mice during the 4 training days (p < 0.05, 0.01 or 0.001). And the results are conform to the results of EEG signals. In conclusion, EEG signals could be used to identify SCA3 in mice. They may also be clinically useful for the diagnosis of cerebellar ataxia in patients, and for additional studies aimed at gaining a deeper understanding of spinal cerebral ataxia.
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影响因子：
4.4
作者：
HABERHAUSEN, G;DAMIAN, MS;MULLER, U
通讯作者：
MULLER, U
影响因子：
3.5
作者：
Zeng, Sheng;Zeng, Junsheng;Wang, Junling
通讯作者：
Wang, Junling
DOI：
10.1083/jcb.200211046
发表时间：
2003-01-20
期刊：
The Journal of cell biology
影响因子：
--
作者：
Chen H;Detmer SA;Ewald AJ;Griffin EE;Fraser SE;Chan DC
通讯作者：
Chan DC
影响因子：
4
作者：
M. Rojo;Frédéric Legros;D. Château;A. Lombès
通讯作者：
M. Rojo;Frédéric Legros;D. Château;A. Lombès
影响因子：
3.5
作者：
Paradisi, Irene;Ikonomu, Vassiliki;Arias, Sergio
通讯作者：
Arias, Sergio