ArticleNetwork neuroscience (Cambridge, Mass.)2022
Network-level permutation entropy of resting-state MEG recordings: A novel biomarker for early-stage Alzheimer's disease?
Article in Network neuroscience (Cambridge, Mass.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 24 citations in OpenAlex.
- EEG-Pype: An accessible MNE-Python pipeline with graphical user interface for preprocessing and analysis of resting-state electroencephalography data.PLoS computational biology · 2026Article
- Interpretable Network-Level Biomarker Discovery for Alzheimer's Stage Assessment Using Resting-State fNIRS Complexity Graphs.Brain sciences · 2026Article
- Reliability and state-dependency of EEG connectivity, complexity and network characteristics.Scientific reports · 2025Article
- Amyloid-β deposition predicts oscillatory slowing of magnetoencephalography signals and a reduction of functional connectivity over time in cognitively unimpaired adults.Brain communications · 2025Article
- Applications of OPM-MEG for translational neuroscience: a perspective.Translational psychiatry · 2024Review
- Local signal variability and functional connectivity: Sensitive measures of the excitation-inhibition ratio?Cognitive neurodynamics · 2024Article
- Functional network disruption in cognitively unimpaired autosomal dominant Alzheimer's disease: a magnetoencephalography study.Brain communications · 2024Article
- Network Hyperexcitability in Early-Stage Alzheimer's Disease: Evaluation of Functional Connectivity Biomarkers in a Computational Disease Model.Journal of Alzheimer's disease : JAD · 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 Hyperexcitability in Early Alzheimer's Disease: Is Functional Connectivity a Potential Biomarker?Brain topography · 2023Article
- Editorial: Focus feature on biomarkers in network neuroscience.Network neuroscience (Cambridge, Mass.) · 2022Article
- Replication and validation of two novel magnetoencephalography functional connectivity measures in Alzheimer's disease.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
- Erratum issued
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Increasing evidence suggests that measures of signal variability and complexity could present promising biomarkers for Alzheimer's disease (AD). Earlier studies have however been limited to the characterization of local activity. Here, we investigate whether a network version of permutation entropy could serve as a novel biomarker for early-stage AD. Resting-state source-space magnetoencephalography was recorded in 18 subjects with subjective cognitive decline (SCD) and 18 subjects with mild cognitive impairment (MCI). Local activity was characterized by permutation entropy (PE). Network-level interactions were studied using the inverted joint permutation entropy (JPE
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