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Ignacio Echegoyen
Laboratory of Biological Networks, Centre for Biomedical Technology, Universidad Politécnica de Madrid (UPM), 28223 Madrid, Spain

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Journal article
Published: 18 January 2020 in Entropy
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We present one of the first applications of Permutation Entropy (PE) and Statistical Complexity (SC) (measured as the product of PE and Jensen-Shanon Divergence) on Magnetoencephalography (MEG) recordings of 46 subjects suffering from Mild Cognitive Impairment (MCI), 17 individuals diagnosed with Alzheimer’s Disease (AD) and 48 healthy controls. We studied the differences in PE and SC in broadband signals and their decomposition into frequency bands ( δ , θ , α and β ), considering two modalities: (i) raw time series obtained from the magnetometers and (ii) a reconstruction into cortical sources or regions of interest (ROIs). We conducted our analyses at three levels: (i) at the group level we compared SC in each frequency band and modality between groups; (ii) at the individual level we compared how the [PE, SC] plane differs in each modality; and (iii) at the local level we explored differences in scalp and cortical space. We recovered classical results that considered only broadband signals and found a nontrivial pattern of alterations in each frequency band, showing that SC does not necessarily decrease in AD or MCI.

ACS Style

Ignacio Echegoyen; David López-Sanz; Johann H. Martínez; Fernando Maestú; Javier M. Buldú. Permutation Entropy and Statistical Complexity in Mild Cognitive Impairment and Alzheimer’s Disease: An Analysis Based on Frequency Bands. Entropy 2020, 22, 116 .

AMA Style

Ignacio Echegoyen, David López-Sanz, Johann H. Martínez, Fernando Maestú, Javier M. Buldú. Permutation Entropy and Statistical Complexity in Mild Cognitive Impairment and Alzheimer’s Disease: An Analysis Based on Frequency Bands. Entropy. 2020; 22 (1):116.

Chicago/Turabian Style

Ignacio Echegoyen; David López-Sanz; Johann H. Martínez; Fernando Maestú; Javier M. Buldú. 2020. "Permutation Entropy and Statistical Complexity in Mild Cognitive Impairment and Alzheimer’s Disease: An Analysis Based on Frequency Bands." Entropy 22, no. 1: 116.