Brain Oscillations, Sleep, and Arousal in Human Cognition - COL
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Alzheimer Disease, Early Onset
- Sponsor
- Swiss Federal Institute of Technology
- Enrollment
- 120
- Locations
- 1
- Primary Endpoint
- Density of slow-wave activity (SWA) readout from in-ear EEG recordings
- Status
- Recruiting
- Last Updated
- 3 years ago
Overview
Brief Summary
Data collection based on this study will allow us to collect neurophysiological and cognitive data collected from in-ear EEG recordings of the Autosomal dominant alzheimer's disease population in Colombia
Detailed Description
There is solid neurophysiological evidence indicating that abnormal brain rhythms during sleep and noradrenergic dysfunction are core components of cognitive decline and AD onset, and their related pathophysiology. Crucially, irregularities in these neurophysiological mechanisms appear to occur in an asymptomatic and pre-symptomatic stage, but their potential to identify susceptibility for triggering neurodegeneration has yet to be established. Thus, the possibility to identify such risk biomarkers in humans will require the acquisition of large-scale data related direct or indirect measurements of these physiological signatures. A possible key source to obtain such large-scale data related to sleep and noradrenergic function is the assessment of electroencephalographic recordings through non-obtrusive, low-cost, and reliable wearable sensors, alongside the use of advanced neuro-computational algorithms that link brain function and behavioral outcomes of LC function via pupilometry measurements.
Investigators
Eligibility Criteria
Inclusion Criteria
- Not provided
Exclusion Criteria
- Not provided
Outcomes
Primary Outcomes
Density of slow-wave activity (SWA) readout from in-ear EEG recordings
Time Frame: Up to 7 nights of at-home recordings
in-ear EEG will be monitored during 7 nights, the aggregated density of SWA over the 7 nights will be compared in both groups (mutation vs non-mutation carrier)
Relative phasic pupilometry responses in exploration vs exploration states in the cognitive task
Time Frame: experimental session at day 1
atent variables of the LC-noradrenergic neuro-computational model based on our cognitive task will indicate the state in wich the participant is (exploration vs exploitation). The relative phasic pupilometry responses in these two states will serve as a proxy of the degree of LC-noradrenergic reaction to these states. The relative reactivity will be compared in both groups (mutation vs non-mutation carriers)
Secondary Outcomes
- Relative time-frequency decomposition responses in exploration vs exploration states in the cognitive task measured with EEG(experimental session at day 1)