ArticleFrontiers in aging neuroscience2013
Index of alpha/theta ratio of the electroencephalogram: a new marker for Alzheimer's disease.
Article in Frontiers in aging neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.
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Who cites it
45 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- From Single-Modal to Multi-Modal Artificial Intelligence in Alzheimer's Disease: A Systematic Review of Databases, Modalities, Diagnostic Performance, and Clinical Translation Challenges.Sensors (Basel, Switzerland) · 2026Pooled it
- Systematic Review on Resting-State EEG for Alzheimer's Disease Diagnosis and Progression Assessment.Disease markers · 2018Pooled it
- Acute response to cholinergic challenge predicts long-term response to galantamine treatment in patients with Alzheimer's disease.British journal of clinical pharmacology · 2022Trial
- Impact of Recording Conditions and Feature Fusion on Dementia Classification Using Spectral, Entropy, and Complexity EEG Features.Entropy (Basel, Switzerland) · 2026Article
- Resting-state EEG biomarkers of general and domain-specific cognitive impairment and plasma P-tau217 in patients with Alzheimer's disease and mild cognitive impairment.Frontiers in neurology · 2026Article
- Association of qEEG TAR and TBR During Eyes-Open and Eyes-Closed with Plasma Oligomeric Amyloid-β Levels in an Aging Population.Journal of clinical medicine · 2025Article
- Test-Retest Reliability of Single Spectral Power and Spectral Power Ratios in Relative and Absolute Values.Brain and behavior · 2025Article
- The Role of Quantitative EEG in the Diagnosis of Alzheimer's Disease.Diagnostics (Basel, Switzerland) · 2025Review
- High-Frequency rTMS Improves Visual Working Memory in Patients With aMCI: A Cognitive Neural Mechanism Study.CNS neuroscience & therapeutics · 2025Article
- Visual cortical activity in Charles Bonnet syndrome: testing the deafferentation hypothesis.Journal of neurology · 2025Article
- A Novel CNN-Based Framework for Alzheimer's Disease Detection Using EEG Spectrogram Representations.Journal of personalized medicine · 2025Article
- Electroencephalographic differences between waking and sleeping periods in patients with prolonged disorders of consciousness at different levels of consciousness.Frontiers in human neuroscience · 2025Article
- CNN-based framework for Alzheimer's disease detection from EEG via dynamic mode decomposition.Frontiers in neuroinformatics · 2025Article
- The role of quantitative EEG biomarkers in Alzheimer's disease and mild cognitive impairment: applications and insights.Frontiers in aging neuroscience · 2025Review
- Elusive Gains of Cognitive Training: Limited Effects on Neural Activity Across Sessions.Brain sciences · 2024Article
- Neural markers of reduced arousal and consciousness in mild cognitive impairment.International journal of geriatric psychiatry · 2024Article
- FAST functional connectivity implicates P300 connectivity in working memory deficits in Alzheimer's disease.Network neuroscience (Cambridge, Mass.) · 2024Article
- Quantitative Electroencephalography Markers for an Accurate Diagnosis of Frontotemporal Dementia: A Spectral Power Ratio Approach.Medicina (Kaunas, Lithuania) · 2023Article
- Depression diagnosis based on electroencephalography power ratios.Brain and behavior · 2023Article
- Effects of Robot-Assisted Activity Using a Communication Robot on Neurological Activity in Older Adults with and without Cognitive Decline.Journal of clinical medicine · 2023Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveWe evaluated quantitative EEG measures to determine a screening index to discriminate Alzheimer's disease (AD) patients from normal individuals.
methodsTwo groups of individuals older than 50 years, comprising a control group of 57 normal volunteers and a study group of 50 patients with probable AD, were compared. EEG recordings were obtained from subjects in a wake state with eyes closed at rest for 30 min. Logistic regression analysis was conducted.
resultsSpectral potentials of the alpha and theta bands were computed for all electrodes and the alpha/theta ratio calculated. Logistic regression of alpha/theta of the mean potential of the C3 and O1 electrodes was carried out. A formula was calculated to aid the diagnosis of AD yielding 76.4% sensitivity and 84.6% specificity for AD with an area under the ROC curve of 0.92.
conclusionLogistic regression of alpha/theta of the spectrum of the mean potential of EEG represents a good marker discriminating AD patients from normal controls.
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