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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).
Full 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.
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Inclusion and exclusion criteria
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:
120 participants in 2 patient groups
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Central trial contact
Silvia Hofer, MSc.
Data sourced from clinicaltrials.gov
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