Resting-state EEG shows distinct spectral signatures for Alzheimer's disease, suggesting its potential in developing diagnostic algorithms.
Resting-state EEG reveals distinct spectral signatures for AD and FTD, supporting its potential as a low-cost, non-invasive adjunctive tool for differential diagnosis. The replication of these findings in an independent, open-access dataset underscores their reliability and provides a foundation for developing automated diagnostic algorithms.
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Pan et al. (2025) studied this question.
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