ArticleFrontiers in neuroscience2021
Identification of Electroencephalogram Signals in Alzheimer's Disease by Multifractal and Multiscale Entropy Analysis.
Article in Frontiers in neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 45 citations in OpenAlex.
- Neural Complexity of Implicit Attitudes Predicts Exercise Behavior in Hypertensive Patients: An EEG Entropy Study.Brain sciences · 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
- A Novel Working Memory Task-Induced EEG Response (WM-TIER) Feature Extraction Framework for Detecting Alzheimer's Disease and Mild Cognitive Impairment.Biosensors · 2025Article
- Screening system for assessing suitability of cognitive behavioral therapy for chronic low back pain.Scientific reports · 2025Article
- Identifying Features of Electroencephalography Associated with Improved Awareness in Persistent Vegetative State via Multiscale Entropy: A Machine Learning Modeling Study.Neurotrauma reports · 2025Article
- 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
- Is EEG Entropy a Useful Measure for Alzheimer's Disease?Actas espanolas de psiquiatria · 2024Review
- Sex differences of signal complexity at resting-state functional magnetic resonance imaging and their associations with the estrogen-signaling pathway in the brain.Cognitive neurodynamics · 2024Article
- A Novel Metric for Alzheimer's Disease Detection Based on Brain Complexity Analysis via Multiscale Fuzzy Entropy.Bioengineering (Basel, Switzerland) · 2024Article
- Fingerprints of decreased cognitive performance on fractal connectivity dynamics in healthy aging.GeroScience · 2024Article
- What can entropy metrics tell us about the characteristics of ocular fixation trajectories?PloS one · 2024Article
- Brain complexity in stroke recovery after bihemispheric transcranial direct current stimulation in mice.Brain communications · 2024Article
- Evaluating cortical excitatory and inhibitory activity through interictal intracranial electroencephalography in mesial temporal lobe epilepsy.Frontiers in neuroscience · 2024Article
- Inter-individual variability during neurodevelopment: an investigation of linear and nonlinear resting-state EEG features in an age-homogenous group of infants.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Editorial: Perspectives in brain-network dynamics in computational psychiatry.Frontiers in computational neuroscience · 2023Article
- Brain entropy, fractal dimensions and predictability: A review of complexity measures for EEG in healthy and neuropsychiatric populations.The European journal of neuroscience · 2022Review
- Network-level permutation entropy of resting-state MEG recordings: A novel biomarker for early-stage Alzheimer's disease?Network neuroscience (Cambridge, Mass.) · 2022Article
- Enhanced temporal complexity of EEG signals in older individuals with high cognitive functions.Frontiers in neuroscience · 2022Article
- A Regional Smoothing Block Sparse Bayesian Learning Method With Temporal Correlation for Channel Selection in P300 Speller.Frontiers in human neuroscience · 2022Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Alzheimer's disease (AD) is the most common form of dementia and is a progressive neurodegenerative disease that primarily develops in old age. In recent years, it has been reported that early diagnosis of AD and early intervention significantly delays disease progression. Hence, early diagnosis and intervention are emphasized. As a diagnostic index for AD patients, evaluating the complexity of the dependence of the electroencephalography (EEG) signal on the temporal scale of Alzheimer's disease (AD) patients is effective. Multiscale entropy analysis and multifractal analysis have been performed individually, and their usefulness as diagnostic indicators has been confirmed, but the complemental relationship between these analyses, which may enhance diagnostic accuracy, has not been investigated. We hypothesize that combining multiscale entropy and fractal analyses may add another dimension to understanding the alteration of EEG dynamics in AD. In this study, we performed both multiscale entropy and multifractal analyses on EEGs from AD patients and healthy subjects. We found that the classification accuracy was improved using both techniques. These findings suggest that the use of multiscale entropy analysis and multifractal analysis may lead to the development of AD diagnostic tools.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.