Gómez Carlos, Hornero Roberto, Abásolo Daniel, Fernández Alberto, Escudero Javier
Biomedical Engineering Group, E. T. S. Ingenieros de Telecomunicación, University of Valladolid, Camino del Cementerio s/n, 47011-Valladolid, Spain.
Comput Methods Programs Biomed. 2007 Sep;87(3):239-47. doi: 10.1016/j.cmpb.2007.07.001. Epub 2007 Aug 7.
The aim of the present study was to analyse the magnetoencephalogram (MEG) background activity in patients with Alzheimer's disease (AD), one of the most frequent disorders among elderly population. For this pilot study, we recorded the MEGs with a 148-channel whole-head magnetometer in 20 patients with probable AD and 21 age-matched control subjects. Artefact-free epochs of 3392 samples were analysed with auto-mutual information (AMI). Average AMI decline rates were lower for the AD patients' recordings than for control subjects' ones. Statistically significant differences were found using a Student's t-test (p<0.01) in 144 channels. Mean AMI values were analysed with a receiver operating characteristic curve. Sensitivity, specificity and accuracy values of 75%, 90.5% and 82.9% were obtained. Our results show that AMI estimations of the magnetic brain activity are different in both groups, hence indicating an abnormal type of dynamics associated with AD. This study suggests that AMI might help medical doctors in the diagnosis of the disease.
本研究的目的是分析阿尔茨海默病（AD）患者的脑磁图（MEG）背景活动，AD是老年人群中最常见的疾病之一。在这项初步研究中，我们使用148通道全头磁强计记录了20例可能患有AD的患者和21名年龄匹配的对照者的脑磁图。对3392个样本的无伪迹时段进行了自互信息（AMI）分析。AD患者记录的平均AMI下降率低于对照者。使用学生t检验（p<0.01）在144个通道中发现了具有统计学意义的差异。用受试者工作特征曲线分析平均AMI值。获得的灵敏度、特异性和准确性值分别为75%、90.5%和82.9%。我们的结果表明，两组的脑磁活动的AMI估计值不同，因此表明与AD相关的一种异常动力学类型。这项研究表明，AMI可能有助于医生诊断该疾病。
