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Dataset Information

Dementia detection from brain activity during sleep.


ABSTRACT:

Study objectives

Dementia is a growing cause of disability and loss of independence in the elderly, yet remains largely underdiagnosed. Early detection and classification of dementia can help close this diagnostic gap and improve management of disease progression. Altered oscillations in brain activity during sleep are an early feature of neurodegenerative diseases and be used to identify those on the verge of cognitive decline.

Methods

Our observational cross-sectional study used a clinical dataset of 10 784 polysomnography from 8044 participants. Sleep macro- and micro-structural features were extracted from the electroencephalogram (EEG). Microstructural features were engineered from spectral band powers, EEG coherence, spindle, and slow oscillations. Participants were cl

SUBMITTER: Ye EM 

PROVIDER: S-EPMC9995788 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature