Suppr超能文献

利用自互信息对阿尔茨海默病患者的脑磁图背景活动进行分析。

Magnetoencephalogram background activity analysis in Alzheimer's disease patients using auto mutual information.

作者信息

Gómez Carlos, Hornero Roberto, Fernández Alberto, Abasolo Daniel, Escudero Javier, López Miguel

机构信息

E. T. S. Ingenieros de Telecomunicación, Valladolid Univ., Valladolid, Spain.

出版信息

Conf Proc IEEE Eng Med Biol Soc. 2006;2006:6181-4. doi: 10.1109/IEMBS.2006.260317.

Abstract

The goal of this study was to analyze the magnetoencephalogram (MEG) background activity in patients with Alzheimer's disease (AD) using the auto mutual information (AMI). Applied to time series, AMI provides a measure of future points predictability from past points. Five minutes of recording were acquired with a 148-channel whole-head magnetometer (MAGNES 2500 WH, 4D neuroimaging) in 12 patients with probable AD and 12 elderly control subjects. Artifact-free epochs of 20 seconds (3392 points, sample frequency of 169.6 Hz) were selected for our study. Our results showed that the absolute values of the averaged decline rate of AMI were lower in AD patients than in control subjects for all channels. In addition, there were statistically significant differences (p<0.01, Student's t-test) in most channels. These preliminary results suggest that neuronal dysfunction in AD is associated with differences in the dynamical processes underlying the MEG recording.

摘要

本研究的目的是使用自互信息(AMI)分析阿尔茨海默病(AD)患者的脑磁图(MEG)背景活动。应用于时间序列时,AMI可衡量根据过去的点预测未来点的能力。使用148通道全头磁强计(MAGNES 2500 WH,4D神经成像)对12例可能患有AD的患者和12名老年对照受试者进行了5分钟的记录。我们的研究选择了20秒(3392个点,采样频率为169.6 Hz)的无伪迹时段。我们的结果表明,所有通道中AD患者的AMI平均下降率绝对值均低于对照受试者。此外,大多数通道存在统计学显著差异(p<0.01,学生t检验)。这些初步结果表明,AD中的神经元功能障碍与MEG记录背后的动态过程差异有关。

相似文献

1
Magnetoencephalogram background activity analysis in Alzheimer's disease patients using auto mutual information.
Conf Proc IEEE Eng Med Biol Soc. 2006;2006:6181-4. doi: 10.1109/IEMBS.2006.260317.
2
Analysis of the magnetoencephalogram background activity in Alzheimer's disease patients with auto-mutual information.
Comput Methods Programs Biomed. 2007 Sep;87(3):239-47. doi: 10.1016/j.cmpb.2007.07.001. Epub 2007 Aug 7.
3
Nonlinear forecasting measurement of magnetoencephalogram recordings from Alzheimer's disease patients.
Annu Int Conf IEEE Eng Med Biol Soc. 2008;2008:2153-6. doi: 10.1109/IEMBS.2008.4649620.
4
MEG analysis in Alzheimer's disease computing approximate entropy for different frequency bands.
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:2379-82. doi: 10.1109/IEMBS.2010.5627236.
5
Complexity analysis of the magnetoencephalogram background activity in Alzheimer's disease patients.
Med Eng Phys. 2006 Nov;28(9):851-9. doi: 10.1016/j.medengphy.2006.01.003. Epub 2006 Feb 24.
6
Analysis of MEG recordings from Alzheimer's disease patients with sample and multiscale entropies.
Annu Int Conf IEEE Eng Med Biol Soc. 2007;2007:6184-7. doi: 10.1109/IEMBS.2007.4353767.
7
Study of the MEG background activity in Alzheimer's disease patients with scaling analysis methods.
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:3485-8. doi: 10.1109/IEMBS.2009.5334569.
8
Rejection of artifact sources in magnetoencephalogram background activity using independent component analysis.
Conf Proc IEEE Eng Med Biol Soc. 2006;2006:5282-5. doi: 10.1109/IEMBS.2006.260215.
9
Nonlinear analysis of electroencephalogram and magnetoencephalogram recordings in patients with Alzheimer's disease.
Philos Trans A Math Phys Eng Sci. 2009 Jan 28;367(1887):317-36. doi: 10.1098/rsta.2008.0197.
10
Decreased Lempel-Ziv complexity in Alzheimer's disease patients' magnetoencephalograms.
Conf Proc IEEE Eng Med Biol Soc. 2005;2005:4514-7. doi: 10.1109/IEMBS.2005.1615472.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验