Title
Analysis of the magnetoencephalogram background activity in Alzheimer's disease patients with auto-mutual information.
Abstract
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.
Year
DOI
Venue
2007
10.1016/j.cmpb.2007.07.001
Computer Methods and Programs in Biomedicine
Keywords
Field
DocType
disease patient,magnetoencephalogram background activity,present study,age-matched control subject,ad patient,probable ad,average ami decline rate,pilot study,148-channel whole-head magnetometer,artefact-free epoch,auto-mutual information,control subject,statistically significant difference,entropy,state,receiver operating characteristic curve,eeg,complexity,mutual information,statistical significance,time series
Population,Disease,Receiver operating characteristic,Computer science,Brain activity and meditation,Mutual information,Statistics,Electroencephalography,Dementia
Journal
Volume
Issue
ISSN
87
3
0169-2607
Citations 
PageRank 
References 
6
0.88
4
Authors
5
Name
Order
Citations
PageRank
Carlos Gómez18615.72
Roberto Hornero260367.74
Daniel Abásolo325326.22
Alberto Fernández45311.82
Escudero Javier517427.45