ArticleEntropy (Basel, Switzerland)2020
Permutation Entropy and Statistical Complexity in Mild Cognitive Impairment and Alzheimer's Disease: An Analysis Based on Frequency Bands.
Article in Entropy (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Reframing "paradoxical" excitation: disentangling electroencephalogram complexity and entropy reveals resting-state dynamics associated with propofol susceptibility in healthy adults.British journal of anaesthesia · 2026Article
- Multi-Entropy Feature Concatenation for Data-Efficient Cross-Subject Classification of Alzheimer's Disease and Frontotemporal Dementia from Single-Channel EEG.Entropy (Basel, Switzerland) · 2026Article
- Entropy as a Tool for Quantifying Biomedical Signals: Gaps and Opportunities in Clinical Methodological Approaches-A Scoping Review.Biomedical engineering and computational biology · 2026Review
- Symbolic Analysis of the Quality of Texts Translated into a Language Preserving Vowel Harmony.Entropy (Basel, Switzerland) · 2025Article
- Permutation Entropy and Its Niche in Hydrology: A Review.Entropy (Basel, Switzerland) · 2025Review
- EEG entropy insights in the context of physiological aging and Alzheimer's and Parkinson's diseases: a comprehensive review.GeroScience · 2024Review
- Automatic detection of Alzheimer's disease from EEG signals using an improved AFS-GA hybrid algorithm.Cognitive neurodynamics · 2024Article
- Local signal variability and functional connectivity: Sensitive measures of the excitation-inhibition ratio?Cognitive neurodynamics · 2024Article
- Longitudinal resting-state EEG in amyloid-positive patients along the Alzheimer's disease continuum: considerations for clinical trials.Alzheimer's research & therapy · 2023Article
- Network-level permutation entropy of resting-state MEG recordings: A novel biomarker for early-stage Alzheimer's disease?Network neuroscience (Cambridge, Mass.) · 2022Article
- BFF: Bayesian, Fiducial, and Frequentist Analysis of Cognitive Engagement among Cognitively Impaired Older Adults.Entropy (Basel, Switzerland) · 2021Article
- A Novel Recognition Strategy for Epilepsy EEG Signals Based on Conditional Entropy of Ordinal Patterns.Entropy (Basel, Switzerland) · 2020Article
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5 authors.
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Abstract
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.
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