Abstract
The aim of this study was to characterize the non-stationarity level of resting-state EEG in patients with dementia due to Alzheimer’s disease (AD), subjects with mild cognitive impairment (MCI) and healthy controls. A frequency-dependent implementation of the Kullback-Leibler divergence was used to characterize non-stationarity patterns. The results showed a statistically significant increase in non-stationarity for AD patients with respect to controls in the 1–70 Hz frequency range, as well as a less pronounced increase for MCI subjects with respect to controls. These results suggest that EEG activity during short time windows consists of more structured oscillations than that of AD patients or MCI subjects.
This research was supported by ‘European Commission’ and ‘European Regional Development Fund’ (FEDER) under project ‘Análisis y correlación entre el genoma completo y la actividad cerebral para la ayuda en el diagnóstico de la enfermedad de Alzheimer’ (‘Cooperation Programme Interreg V-A Spain-Portugal, POCTEP 2014–2020’), by ‘Ministerio de Economía y Competitividad’ and FEDER under project TEC2014-53196-R, and by ‘Consejería de Educación de la Junta de Castilla y León’ and FEDER under project VA037U16. P. Núñez and S. Ruiz-Gómez have a predoctoral scholarship from the ‘Junta de Castilla y León’ and the European Social Fund.
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Núñez, P. et al. (2019). Characterizing Non-stationarity in Alzheimer’s Disease and Mild Cognitive Impairment by Means of Kullback-Leibler Divergence. In: Masia, L., Micera, S., Akay, M., Pons, J. (eds) Converging Clinical and Engineering Research on Neurorehabilitation III. ICNR 2018. Biosystems & Biorobotics, vol 21. Springer, Cham. https://doi.org/10.1007/978-3-030-01845-0_115
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