title: Analysis of spontaneous MEG activity in mild cognitive impairment using spectral entropies and disequilibrium measures.
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.
authors.affiliation: Biomedical Engineering Group (GIB), Dpt. TSCIT, University of Valladolid, Camino del Cementerio s/n, 47011, Spain.
authors.forename: Ricardo
authors.initials: R
authors.lastname: Bruña
authors.forename: Jesús
authors.initials: J
authors.lastname: Poza
authors.forename: Carlos
authors.initials: C
authors.lastname: Gómez
authors.forename: Alberto
authors.initials: A
authors.lastname: Fernández
authors.forename: Roberto
authors.initials: R
authors.lastname: Hornero
mesh_terms: D000368:Aged; D000465:Algorithms; D003072:Cognition Disorders / Q000473:pathology* / Q000503:physiopathology*; D019277:Entropy; D005260:Female; D006801:Humans; D015225:Magnetoencephalography / Q000379:methods; D008297:Male