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Poster Session A: Tuesday, August 12, 1:30 – 4:30 pm, de Brug & E‑Hall

Perspective: Home-based Sleep Intervention for Dementia Prevention

Stanisław Narębski¹, Tomasz Komendzinski¹, Tomasz M Rutkowski¹; ¹Nicolaus Copernicus University

Presenter: Tomasz M Rutkowski

Dementia poses a significant and escalating public health challenge, necessitating effective preventative strategies. Age-related sleep disturbances, particularly loss of slow-wave sleep (SWS), are linked to an increased risk of dementia. This study employs a two-stage approach to develop a biomarker of cognitive decline from sleep parameters using machine learning and investigate a non-pharmacological intervention in adults aged 50 and older. We evaluate the efficacy of home-based closed-loop auditory stimulation (CLAS), which enhances slow oscillations using synchronized auditory cues delivered using wearable EEG technology. We aim to assess the potential of CLAS, through improved sleep quality, to delay the onset of cognitive impairment, potentially offering a scalable intervention for dementia prevention.

Topic Area: Memory, Spatial Cognition & Skill Learning

Extended Abstract: Full Text PDF