Nonlinear forecasting measurement of magnetoencephalogram recordings from Alzheimer's disease patients (original) (raw)
Related papers
Nonlinear analysis of brain magnetoencephalographic activity in Alzheimer disease patients
Acta neurologica Belgica, 2007
Non-linear analysis was applied on MEG signals of Alzheimer Disease (AD) patients in order to investigate the underlying complexity of the brain dynamics. A Single channel SQUID was used to record the MEG signals in 9 AD patients and 5 normal individuals. The magnetic activity, for each patient, was recorded from a total of 64 points of the skull (32 points from each temporal lobe). Nonlinear analysis was applied in the abnormal MEG points of the brain. In AD patients some recorded points were found with high amplitudes and low frequencies in magnetic activity. By applying nonlinear analysis in these records low values in the correlation dimension D of the reconstructed phase space were found. SQUID obtained MEG signaling from brains of AD patients showed a lower complexity compared to the brain of normal subjects.
… in Medicine and …, 2006
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 ...