ArticleFrontiers in neuroinformatics2018
Measuring Alterations of Spontaneous EEG Neural Coupling in Alzheimer's Disease and Mild Cognitive Impairment by Means of Cross-Entropy Metrics.
Article in Frontiers in neuroinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The EEG analysis and identification of Alzheimer's disease: a review.Frontiers in aging neuroscience · 2025Pooled it
- Dual-task standing in older adults with mild cognitive impairment: postural control complexity, prefrontal activation, and cognitive task performance.Frontiers in neuroscience · 2026Article
- Time-Frequency Domain Analysis of Quantitative Electroencephalography as a Biomarker for Dementia.Diagnostics (Basel, Switzerland) · 2025Review
- Visual-spatial processing impairment in the occipital-frontal connectivity network at early stages of Alzheimer's disease.Frontiers in aging neuroscience · 2023Article
- EEG-based clinical decision support system for Alzheimer's disorders diagnosis using EMD and deep learning techniques.Frontiers in human neuroscience · 2023Article
- Influence of PICALM and CLU risk variants on beta EEG activity in Alzheimer's disease patients.Scientific reports · 2021Article
- Exploring the Alterations in the Distribution of Neural Network Weights in Dementia Due to Alzheimer's Disease.Entropy (Basel, Switzerland) · 2021Article
- Identifying Individuals With Mild Cognitive Impairment Using Working Memory-Induced Intra-Subject Variability of Resting-State EEGs.Frontiers in computational neuroscience · 2021Article
- Risk Variants in Three Alzheimer's Disease Genes Show Association with EEG Endophenotypes.Journal of Alzheimer's disease : JAD · 2021Article
- Relationship between the Presence of theSensors (Basel, Switzerland) · 2020Article
- Inter-band Bispectral Analysis of EEG Background Activity to Characterize Alzheimer's Disease Continuum.Frontiers in computational neuroscience · 2020Article
- EEG Characterization of the Alzheimer's Disease Continuum by Means of Multiscale Entropies.Entropy (Basel, Switzerland) · 2019Article
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Authors and funding
7 authors.
Funding
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Abstract
Alzheimer's Disease (AD) represents the most prevalent form of dementia and is considered a major health problem due to its high prevalence and its economic costs. An accurate characterization of the underlying neural dynamics in AD is crucial in order to adopt effective treatments. In this regard, mild cognitive impairment (MCI) is an important clinical entity, since it is a risk-state for developing dementia. In the present study, coupling patterns of 111 resting-state electroencephalography (EEG) recordings were analyzed. Specifically, we computed Cross-Approximate Entropy (
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Registered trials
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