Effects of deep respiration on cerebrospinal fluid flow in 4th ventricle

Poster No:

2096 

Submission Type:

Abstract Submission 

Authors:

Kian Wong1, Chun Siong Soon1, Yicun Wang2, Jeff Duyn2, Michael Chee1

Institutions:

1Centre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore, 2National Institutes of Health, Bethesda, MD

First Author:

Kian Wong  
Centre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore
Singapore, Singapore

Co-Author(s):

Chun Siong Soon  
Centre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore
Singapore, Singapore
Yicun Wang  
National Institutes of Health
Bethesda, MD
Jeff Duyn  
National Institutes of Health
Bethesda, MD
Michael Chee  
Centre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore
Singapore, Singapore

Introduction:

Accumulation of neurotoxic brain metabolites contributes to the development of Alzheimer's Disease (Darst et al., 2021). Clearance of these substances is enhanced during sleep particularly deep sleep through increased transfer from brain through interstitial spaces and then into the CSF. Enhancing CSF flow might thus be beneficial (Burman & Alperin, 2023). Recent work has shown that slower and deep breathing can increase CSF oscillations and flow. CSF flow in the ventricles can be quantified with high temporal resolution (Chen et al., 2015; Dreha-Kulaczewski et al., 2015; Yildiz et al., 2017), including a steady-state free precession (SSFP) sequence (Wang et al., 2022) by measuring the shift and distortion in frequency tags. We examined the replicability of this method with a guided breathing paradigm in young adults before examining if the breathing-induced increases in CSF flow are attenuated in older adults.

Methods:

Five healthy participants (mean age 24.8 years; 1 male) were studied using an IRB approved protocol. Each participant underwent five 7min 58s task runs during which breathing was guided by an expanding (inhalation) or contracting (exhalation) circle. Interspersed between 86 normal breaths (2.5s inhale, 2.5s exhale) were 6 deep breaths (4s inhale, 4s exhale; larger circle). Deep breaths were separated by either 10 or 20 normal breaths (Fig. 1).
MRI scans were conducted on a 3T Prisma Scanner (Siemens Healthineers, Erlangen, Germany) using a 32-channel head and neck receiver array. Participants undertook two runs of a T2* weighted multiband (sms = 4) EPI sequence, and three using an SSFP sequence (TR 6ms; TE 3ms; flip angle 45°; slice thickness 3mm; FOV 240mm; matrix size 192 x 108; resolution 1.3mm x 1.3mm; frame rate 216ms). A hi-res (1mm isovoxel) structural MPRAGE scan was also acquired.
For the SSFP sequence, a shim offset was introduced following B0 shimming to create the tags, and the frequency shift was tuned to position a tag in the 4th ventricle (Wang et. al., 2022). Tag profiles (Fig 1b) were extracted across time. Offset values for each breathing epoch were baseline-corrected to the 1 second period preceding the breath. Area under the curve for the breathing-related tag distortions were calculated and normalized to the event duration to obtain the offset distance per second, which provided a surrogate measure of CSF movement. The offset distance per second for deep vs normal breaths were compared by repeated measures t-tests.

Results:

Deep breaths showed significantly higher offset distance per second than normal breaths (paired t-test: t = -2.85, p<.05). This indicates that the change in CSF flow rate is not just a linear function of breath duration, but also depth of breathing, as can be seen in Fig 2.
Supporting Image: Figure1.png
   ·Figure 1. A) Time sequence of guided breathing, with deep breaths (dark gray; 8s) separated by 10 or 20 normal breaths (light gray; 5s). B) A representative SSFP scan showing locations of the tags use
Supporting Image: Figure2.jpg
   ·Figure 2. Offset distance of the 4th ventricle tag for normal vs deep breaths, averaged across all 5 participants. Error bars show SEM at each sampling point.
 

Conclusions:

In this preliminary work, we demonstrated how CSF flow can be increased during guided breathing by increasing breath duration and depth, where deeper breathing elicited substantially higher volume of ventricular CSF flow. This could potentially benefit brain metabolite waste clearance (Burman & Alperin, 2023). Additionally, the change in CSF flow may be accompanied by a change in BOLD signal, which we plan to verify in the acquired multiband EPI scans.

Neuroanatomy, Physiology, Metabolism and Neurotransmission:

Anatomy and Functional Systems 1

Physiology, Metabolism and Neurotransmission :

Physiology, Metabolism and Neurotransmission Other 2

Keywords:

Cerebro Spinal Fluid (CSF)
Other - Respiration

1|2Indicates the priority used for review

Provide references using author date format

Burman, R. (2023), 'CSF-to-blood toxins clearance is modulated by breathing through cranio–spinal CSF oscillation', Journal of Sleep Research, e14029.
Chen, L. (2015), 'Dynamics of respiratory and cardiac CSF motion revealed with real-time simultaneous multi-slice EPI velocity phase contrast imaging', Neuroimage, 122:281-7.
Darst, B.F. (2021), 'Metabolites Associated with Early Cognitive Changes Implicated in Alzheimer’s Disease', Journal of Alzheimer's Disease, 79(3): 1041–1054.
Dreha-Kulaczewski, S. (2015), 'Inspiration is the major regulator of human CSF flow', Journal of Neuroscience, 35(6):2485-91.
Wang, Y. (2022), 'Cerebrovascular activity is a major factor in the cerebrospinal fluid flow dynamics', Neuroimage, 258, 119362.
Yildiz, S. (2017), 'Quantifying the influence of respiration and cardiac pulsations on cerebrospinal fluid dynamics using real-time phase-contrast MRI', Journal of Magnetic Resonance Imaging, 46: 431-439.