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Diagnosis of Alzheimer’s disease via resting-state EEG: integration of spectrum, complexity, and synchronization signal features
Research article (Frontiers in Aging Neuroscience, 2023) · cited 56× · AI/ML
Diagnosis of Alzheimer’s disease via resting-state EEG: integration of spectrum, complexity, and synchronization signal features
Summary
Diagnosis of Alzheimer’s disease via resting-state EEG: integration of spectrum, complexity, and synchronization signal features is a scholarly article[1].
Key Facts
Diagnosis of Alzheimer’s disease via resting-state EEG: integration of spectrum, complexity, and synchronization signal features's instance of is recorded as scholarly article[2].
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Diagnosis of Alzheimer’s disease via resting-state EEG: integration of spectrum, complexity, and synchronization signal features. Retrieved May 24, 2026, from https://4ort.xyz/entity/diagnosis-of-alzheimers-disease-via-resting-state-eeg-integration-of-spectrum-complexity-and-synchronization-signal-feat
MLA“Diagnosis of Alzheimer’s disease via resting-state EEG: integration of spectrum, complexity, and synchronization signal features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/diagnosis-of-alzheimers-disease-via-resting-state-eeg-integration-of-spectrum-complexity-and-synchronization-signal-feat.
BibTeX@misc{4ortxyz_diagnosis-of-alzheimers-disease-via-resting-state-eeg-integration-of-spectrum-complexity-and-synchronization-signal-feat_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Diagnosis of Alzheimer’s disease via resting-state EEG: integration of spectrum, complexity, and synchronization signal features}}, year = {2026}, url = {https://4ort.xyz/entity/diagnosis-of-alzheimers-disease-via-resting-state-eeg-integration-of-spectrum-complexity-and-synchronization-signal-feat}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Diagnosis of Alzheimer’s disease via resting-state EEG: integration of spectrum, complexity, and synchronization signal features — https://4ort.xyz/entity/diagnosis-of-alzheimers-disease-via-resting-state-eeg-integration-of-spectrum-complexity-and-synchronization-signal-feat (retrieved 2026-05-24)
