Dynamic Assessment of CSF Mobility and Blood-CSF Exchange During Wake and Sleep Stages: Brain Clearance Study

Dynamic Assessment of CSF Mobility and Blood-CSF Exchange During Wake and Sleep Stages: Brain Clearance Study - Monitoring physiological changes during sleep

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

NL-OMON

Registry ID

NL-OMON57389

Enrollment

Registered

2024-09-19

Start date

2026-02-13

Completion date

Unknown

Last updated

2026-06-08

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Brain clearance sleep The brain’s cleaning process during sleep

Interventions

None listed

Eligibility

Age

18 Years to 64 Years

Inclusion criteria

Inclusion criteria: * Aged between 18- 40 years old * Able and willing to give written informed consent * Regular sleep wake cycle (6-9 hours of daily sleep) * Self-reported sleep efficiency higher or equal to 80% * Participant is comfortable sleeping in supine position

Exclusion criteria

Exclusion criteria: * Any contradictions to MRI * Pregnancy or a chance of being pregnant (as reported by the volunteer) * Any current or previous somatic sleep/neurological disorders and/or psychiatric illness * Heavy smokers (>5 cigarettes a day or >60mg nicotine a day) * Infection (cold, flu) in the past weekmonth * History of drug and/or alcohol abuse * Travelling across time zones (>3h) in the past month

Design outcomes

Primary

Measure	Time frame
CSF-mobility assessment during wake and sleep (at 7T) The study aims to investigate the effects of sleep on CSF mobility in several brain regions, including the subarachnoid space around the middle cerebral artery and sulci, the 4th ventricle, and perivascular spaces in the basal ganglia and around penetrating arteries. Parameters, such as mean diffusivity (MD), fractional anisotropy (FA), axial diffusivity (AD), and radial diffusivity (RD), will be compared across different wake and sleep stages using repeated measures ANOVA. Blood-CSF water exchange during wake and sleep (at 3T) The primary aim is to examine how sleep affects hemodynamic variations, particularly focusing on water exchange between blood and CSF. Parameters such as arterial transit time (ATT), cerebral blood flow (CBF), and blood-CSF water exchange, derived from the multi-echo multi-delay ASL sequence, will be analyzed across different wake-sleep stages using repeated measures ANOVA.	—

Measure

Time frame

CSF-mobility assessment during wake and sleep (at 7T) The study aims to investigate the effects of sleep on CSF mobility in several brain regions, including the subarachnoid space around the middle cerebral artery and sulci, the 4th ventricle, and perivascular spaces in the basal ganglia and around penetrating arteries. Parameters, such as mean diffusivity (MD), fractional anisotropy (FA), axial diffusivity (AD), and radial diffusivity (RD), will be compared across different wake and sleep stages using repeated measures ANOVA. Blood-CSF water exchange during wake and sleep (at 3T) The primary aim is to examine how sleep affects hemodynamic variations, particularly focusing on water exchange between blood and CSF. Parameters such as arterial transit time (ATT), cerebral blood flow (CBF), and blood-CSF water exchange, derived from the multi-echo multi-delay ASL sequence, will be analyzed across different wake-sleep stages using repeated measures ANOVA.

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Secondary

Measure	Time frame
1) Investigating the role of cardiac/respiratory oscillations in CSF mobility as measure for effective brain clearance (at 7T) The aim is to investigate the association between CSF mobility in perivascular spaces and the driving forces that contribute to efficient brain clearance. To achieve this, spectral analysis will be performed on the heart and respiration rate variability. Subsequently, the correlation (Pearsons correlation coefficient) between the spectral analysis results and CSF mobility measures (MD, AD, RD, FA) will be explored. 2) Exploring the correlation between sleep habits and changes (wake vs. SWS) in CSF mobility in perivascular spaces (at 7T) To examine the associations between slow wave sleep-wake characteristics and changes in CSF mobility, we will conduct Pearson correlation analyses. The sleep-wake characteristics included in these analyses are as follows: 1. Change in sleepiness, as measured by the Karolinska Sleepiness Scale (KSS). 2. Chronotype, as measured by the Morningness-Eveningness Questionnaire (MEQ). 3. Mean total sleep time (TST) per night for the previous week. 4. TST for the previous night, as measured by both sleep diary and actigraphy. 3) CSF-waves* in 4th ventricle The aim is to investigate the relationship between 'CSF-waves' (spectral power at ~0.05Hz measured with CSF-BOLD or with real-time phase contrast planned around the fourth ventricle) and CSF mobility measures during slow wave sleep. Pearson correlation of spectral power at ~0.05Hz and MD, AD, RD, FA.	—

Measure

Time frame

1) Investigating the role of cardiac/respiratory oscillations in CSF mobility as measure for effective brain clearance (at 7T) The aim is to investigate the association between CSF mobility in perivascular spaces and the driving forces that contribute to efficient brain clearance. To achieve this, spectral analysis will be performed on the heart and respiration rate variability. Subsequently, the correlation (Pearson*s correlation coefficient) between the spectral analysis results and CSF mobility measures (MD, AD, RD, FA) will be explored. 2) Exploring the correlation between sleep habits and changes (wake vs. SWS) in CSF mobility in perivascular spaces (at 7T) To examine the associations between slow wave sleep-wake characteristics and changes in CSF mobility, we will conduct Pearson correlation analyses. The sleep-wake characteristics included in these analyses are as follows: 1. Change in sleepiness, as measured by the Karolinska Sleepiness Scale (KSS). 2. Chronotype, as measured by the Morningness-Eveningness Questionnaire (MEQ). 3. Mean total sleep time (TST) per night for the previous week. 4. TST for the previous night, as measured by both sleep diary and actigraphy. 3) *CSF-waves* in 4th ventricle The aim is to investigate the relationship between 'CSF-waves' (spectral power at ~0.05Hz measured with CSF-BOLD or with real-time phase contrast planned around the fourth ventricle) and CSF mobility measures during slow wave sleep. Pearson correlation of spectral power at ~0.05Hz and MD, AD, RD, FA.

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Countries

Netherlands

Contacts

Public ContactB. Örzsik

Leids Universitair Medisch Centrum

b.orzsik@lumc.nl071- 5263678

Outcome results