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| Name | Class |
|---|---|
| Alzheimer's Drug Discovery Foundation | OTHER |
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data collection based on this study will allow us to collect and calibrate neurophysiological and cognitive data collected from in-ear EEG recordings of the initial baseline/reference population in Swiss healthy individuals that can be used as reference to data collected in other populations, for instance, to be compared with any other similar dataset in the future (e.g., Alzheimer patient cohorts).
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| healthy young adults | between 20-40 years |
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| healthy older adults | between 50-75 years |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| This is an observational study | Other | This is an observational study |
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| Measure | Description | Time Frame |
|---|---|---|
| Density of slow-wave activity (SWA) readout from in-ear EEG 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 (young vs elderly) | 7 nights of at-home recordings |
| Relative phasic pupilometry responses in exploration vs exploration states in the cognitive task | latent 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 (young vs elderly) | 1 experimental session |
| Measure | Description | Time Frame |
|---|---|---|
| Power changes of wake EEG brain activity in close vs open eyes condition | We will compute the relative changes of EEG power in close vs open eyes. The relative changes will be compared in both groups (young vs elderly) | 7 days of at-home recordings |
| Relative time-frequency decomposition responses in exploration vs exploration states in the cognitive task measured with EEG |
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Participants fulfilling all of the following inclusion criteria are eligible for the study:
Informed Consent as documented by signature
Healthy young adults group: Age range 20-40
Healthy older adults group: Age range 50-75
Normal physical and mental status:
Native German speaker or good understanding of German
Participants are not eligible if the fulfil the following exclusion criteria:
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Data will be collected in healthy young adults (age range 20-40) and healthy older adults (age range 50-75).
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Silvia Hofer, MSc. | Contact | +41 44 632 98 73 | silvia. hofer @hest. ethz. ch |
| Name | Affiliation | Role |
|---|---|---|
| Rafael Polania, PhD | ETH Zurich | Principal Investigator |
| Caroline Lustenberger, PhD | ETH Zurich | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| ETH Zurich | Recruiting | Zurich | Schweiz | 8057 | Switzerland |
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We will evaluate the the differences spatio-temporal changes in the power spectrum depending on the state in wich the participant is (exploration vs exploitation) in the cognitive task. The relative changes will be compared in both groups (young vs elderly) |
| 1 experimental session |