Conference Proceeding

Analysis of spontaneous MEG activity in mild cognitive impairment using spectral entropies and disequilibrium measures

Dept. TSCIT, Univ. of Valladolid, Valladolid, Spain
Conference proceedings: ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference 10/2010; DOI:10.1109/IEMBS.2010.5628085 In proceeding of: Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Source: IEEE Xplore

ABSTRACT The aim of this study was to explore the ability of several spectral entropies and disequilibrium measures to discriminate between spontaneous magnetoencephalographic (MEG) oscillations from 18 mild cognitive impairment (MCI) patients and 24 controls. The Shannon spectral entropy (SSE), Tsallis spectral entropy (TSE), and Rényi spectral entropy (RSE) were calculated from the normalized power spectral density to evaluate the irregularity patterns. In addition, the Euclidean (ED) and Wootters (WD) distances were computed as disequilibrium measures. Results revealed statistically significant lower SSE and TSE(2) values for MCI patients than for controls (p <; 0.05) in the right lateral region of the brain. ED also obtained statistically significant lower values for MCI patients than for controls using the (p <; 0.05) in the right lateral region of the brain. These findings suggest that MCI is associated with a significant decrease in irregularity of MEG activity. In addition, the highest accuracy of 64.3% was achieved by the SSE. We conclude that measures from information theory can be useful to both characterize abnormal brain dynamics and help in MCI detection.

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Keywords

18 mild cognitive impairment
 
24 controls
 
abnormal brain dynamics
 
disequilibrium measures
 
Euclidean
 
information theory
 
irregularity
 
irregularity patterns
 
lateral region
 
MEG
 
MEG activity
 
normalized power spectral density
 
RSE
 
spontaneous magnetoencephalographic
 
SSE
 
statistically significant lower SSE
 
statistically significant lower values
 
Tsallis spectral entropy
 
Wootters