ArticleAlzheimer's & dementia (Amsterdam, Netherlands)
Personalized modeling of Alzheimer's disease progression estimates neurodegeneration severity from EEG recordings.
Article in Alzheimer's & dementia (Amsterdam, Netherlands). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 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
- Virtual brain and electroencephalography explain the variance of memory alterations in mild cognitive impairment.Alzheimer's research & therapy · 2026Article
- A multi-frequency whole-brain neural mass model with homeostatic feedback inhibition.PLoS computational biology · 2026Article
- The optimization of neuroprosthetic interfaces relying on biophysical and surrogate digital twins.npj biomedical innovations · 2026Review
- Digital twins support cross-modal and cross-centric classification of mild cognitive impairment.Communications medicine · 2026Article
- Data-driven subtypes of subjective cognitive decline: neuropsychological profiles, Alzheimer's disease biomarkers, and clinical trajectories.Journal of neurology · 2025Article
- Diversity-sensitive brain clocks linked to biophysical mechanisms in aging and dementia.Nature. Mental health · 2025Article
- A multi-frequency whole-brain neural mass model with homeostatic feedback inhibition.bioRxiv : the preprint server for biology · 2025Article
- Digital twins and non-invasive recordings enable early diagnosis of Alzheimer's disease.Alzheimer's research & therapy · 2025Observational
- Personalized brain models link cognitive decline progression to underlying synaptic and connectivity degeneration.Alzheimer's research & therapy · 2025Article
- Development of Neurodegenerative Disease Diagnosis and Monitoring from Traditional to Digital Biomarkers.Biosensors · 2025Review
- Event-related potential markers of subjective cognitive decline and mild cognitive impairment during a sustained visuo-attentive task.NeuroImage. Clinical · 2025Article
- Homeodynamic feedback inhibition control in whole-brain simulations.PLoS computational biology · 2024Article
- Functional network disruption in cognitively unimpaired autosomal dominant Alzheimer's disease: a magnetoencephalography study.Brain communications · 2024Article
- Tau mediates the reshaping of the transcriptional landscape toward intermediate Alzheimer's disease stages.Frontiers in cell and developmental biology · 2024Article
- ChatGPT and BCI-VR: a new integrated diagnostic and therapeutic perspective for the accurate diagnosis and personalized treatment of mild cognitive impairment.Frontiers in human neuroscience · 2024Article
- Personalized modeling of Alzheimer's disease progression estimates neurodegeneration severity from EEG recordings.Alzheimer's & dementia (Amsterdam, Netherlands)Article
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12 authors.
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Abstract
introductionEarly identification of Alzheimer's disease (AD) is necessary for a timely onset of therapeutic care. However, cortical structural alterations associated with AD are difficult to discern.
methodsWe developed a cortical model of AD-related neurodegeneration accounting for slowing of local dynamics and global connectivity degradation. In a monocentric study we collected electroencephalography (EEG) recordings at rest from participants in healthy (HC,
resultsOur model outperformed standard EEG analysis not only in discriminating between HC and MCI conditions (F1 score 0.95 vs 0.75) but also in identifying SCD patients with biological hallmarks of AD in the cerebrospinal fluid (recall 0.87 vs 0.50). DISCUSSION: Personalized models could (1) support classification of MCI, (2) assess the presence of AD pathology, and (3) estimate the risk of cognitive decline progression, based only on economical and non-invasive EEG recordings. Highlights: Personalized cortical model estimating structural alterations from EEG recordings.Discrimination of Mild Cognitive Impairment (MCI) and Healthy (HC) subjects (95%)Prediction of biological markers of Alzheimer's in Subjective Decline (SCD) Subjects (87%)Transition correctly predicted for 3/3 subjects that converted from SCD to MCI after 1y.
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