Brain Oscillatory Signatures of Auditory Stimuli Across Different Vigilance and Sedation States
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Anesthesia
- Sponsor
- Insel Gruppe AG, University Hospital Bern
- Enrollment
- 80
- Locations
- 1
- Primary Endpoint
- Brain oscillatory power derived by EEG
- Status
- Recruiting
- Last Updated
- 3 years ago
Overview
Brief Summary
The investigators want to explore how presenting acoustic stimuli influences brain oscillatory signatures and heart rhythm- dynamics across different vigilance and sedation states.
The investigators will administer acoustic stimuli during sedation and anaesthesia while brain activity and heart activity are being recorded by electroencephalogram and electrocardiogram.
On the day following anaesthesia an optional nap/sleep period's EEG and ECG will be recorded. During this short sleep, patients will again be exposed to acoustic stimuli. The recorded EEG and ECG will be compared intra-and inter-individually to recordings from sedation and anaesthesia.
Investigators
Eligibility Criteria
Inclusion Criteria
- •Informed Consent as documented by signature
- •Good general health status
- •Planned ophthalmic/plastic surgery at Inselspital Berne
Exclusion Criteria
- •Contraindications on ethical grounds
- •Neurological/neurodegenerative disorder
- •Hearing problems (only if patients are not able to perceive the acoustic stimuli)
- •Pacemaker
- •Deep brain stimulator
- •Pregnancy
- •Known or suspected drug or alcohol abuse
- •Critical surgery procedure
Outcomes
Primary Outcomes
Brain oscillatory power derived by EEG
Time Frame: Continuously across anaesthesia/sedation/sleep up to 8 hours
Brain oscillatory response to acoustic stimuli derived by power spectral density in canonical frequency bands from 0.5 up to 40 Hz.
Brain oscillatory response derived by Hilbert Amplitude
Time Frame: Continuously across anaesthesia/sedation/sleep up to 8 hours
Brain oscillatory response to acoustic stimuli derived by Hilbert-transforming EEG data and extracting Hilbert amplitude in microVolts
Spindle characteristics - number of spindles
Time Frame: Continuously across anaesthesia/sedation/sleep up to 8 hours
Number of spindles
Spindle characteristics - amplitude of spindles
Time Frame: Continuously across anaesthesia/sedation/sleep up to 8 hours
Spindle amplitude in microVolts
Spindle characteristics - frequency of spindles
Time Frame: Continuously across anaesthesia/sedation/sleep up to 8 hours
Frequency of spindles in Hz
Spindle characteristics - duration of spindles
Time Frame: Continuously across anaesthesia/sedation/sleep up to 8 hours
Duration of spindles in ms
Secondary Outcomes
- Heart rate(Continuously across anaesthesia/sedation/sleep up to 8 hours)
- Instantaneous heart rate(Continuously across anaesthesia/sedation/sleep up to 8 hours)
- Heart rate variability(Continuously across anaesthesia/sedation/sleep up to 8 hours)
- Slow wave characteristics - amplitude(Continuously across anaesthesia/sedation/sleep up to 8 hours)
- Slow wave characteristics - number(Continuously across anaesthesia/sedation/sleep up to 8 hours)
- Slow wave characteristics - frequency(Continuously across anaesthesia/sedation/sleep up to 8 hours)
- Slow wave characteristics - slope(Continuously across anaesthesia/sedation/sleep up to 8 hours)
- Number of sleep arousals(Continuously across sleep up to 8 hours)