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This study will investigate the validity of the HOGAR EEG/PSG monitoring kit designed by Bitbrain as a tool for characterizing and assessing cognitive function in older adults, as well as for detecting and predicting cognitive decline. The kit consists of two EEG headbands and a mobile computing device that allows measurements of sleep patterns (PSG) and brain activity (EEG) in a home environment.
Full description
The sample includes 500 participants with various degrees of cognitive impairment according to standard clinical criteria, confirmed through an assessment of cognitive status in the laboratories of Bitbrain and the Miguel Servet Hospital in Zaragoza. This assessment includes an introductory session to the study and two cognitive assessment sessions lasting approximately 2 hours each. The first session includes the explanation of the study protocol, the signing of the informed consent, a short cognitive evaluation using screening tests, and the acquisition of blood samples. The second session includes a recording of brain activity using a versatile semi-dry EEG device (Bitbrain, Spain) under resting conditions and the second part of the battery of cognitive evaluations. During the second session, the battery of cognitive and behavioral tests will be completed.
Outside the hospital environment, participants will receive an in-person tutorial and then take the HOGAR biosignal acquisition kit home for 2 days to collect physiological activity in their daily environment. Each day, they will record EEG in resting conditions and PSG during sleep, both self-administered or with the assistance of a family member. This includes the use of the devices Ikon and Ikon Sleep (Bitbrain, Spain) with a Microsoft Surface with user-friendly software.
This cross-sectional study will allow for the examination of correlations between EEG and PSG acquired in participants' homes with all standard tests in a laboratory setting (especially tests for cognitive decline analysis), and specifically their predictive capacity using artificial intelligence tools. Subsequently, a longitudinal follow-up will explore the possibility of predicting cognitive and behavioral decline based on biosensor measurements in the home environment.
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Inclusion and exclusion criteria
General Inclusion Criteria:
Inclusion Criteria 'Mild Dementia' group:
Inclusion Criteria 'Mild Cognitive Impairment' group:
Inclusion Criteria 'Subjective Cognitive Decline' group:
Inclusion criteria No impairment group:
500 participants in 4 patient groups
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Data sourced from clinicaltrials.gov
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