Impact of Sleep on Extracellular Volume in Human Brains: A Study with Simultaneous Sodium (<sup>23</sup>Na) MRI and EEG

Abstract Background Alzheimer's disease is associated with neurotoxic amyloid‐beta (Aβ) plaques. Studies in mice demonstrated that cerebrospinal fluid (CSF) clearance, if impaired, reduces Aβ clearance by 70% and that sleep enhances CSF clearance via expanding extracellular space by 60%. However, the impact of sleep on extracellular volume in human remains unclear due to lack of non‐invasive technology. In this study, we use unique sodium ( 23 Na) magnetic resonance imaging (MRI) to measure extracellular volume fraction (ECVF) in healthy subjects while monitoring their sleep stage with MRI‐compatible electroencephalography (EEG). Method With IRB approval, we studied 16 cognitively‐healthy subjects (age 52.9 ± 17.6 years, ranging 27–77 years, 7 males and 9 females). The study lasted 1.5 hours, including four repeated 16‐min sodium MRIs on a clinical scanner at 3T (Prisma, Siemens), and continuous EEG recording (Brain Vision, 32‐channel, Garner, NC). The subjects were instructed to relax and fall asleep. Sleep was scored to five stages (wake, N1, N2, N3, and REM), based on American Academy of Sleep Medicine (AASM) Manual (v2.6, 2020). Sodium MRI was performed with a dual‐tuned ( 1 H‐ 23 Na) birdcage coil (QED, Cleveland, OH) and a custom‐developed pulse sequence, twisted projection imaging (TPI), with parameters: FOV=220mm, matrix size=64, 3D isotropic, TE/TR = 0.5/100ms, flip angle=90°, averages=6, and TA=16min. ECVF, a e , was calculated on the sodium images voxel‐by‐voxel, i.e., s = ΔV (a e C e + a i C i ) = ΔV (145 a e + 15 a i ), with a e + a i = 1. Result In panel P1 is the set‐up of the study, including the MRI, EEG, sodium images, and hardware set‐up. In P2 are typical EEG waveforms and spectra of sleep stages. In P3 is a representative of ECVF maps from a subject (43 years old, female). In P4 are outcomes of the study. Surprisingly, we observed a decrease in ECVF with sleep stage in the gray matter ( P =0.036) and in the white matter ( P =0.085, nearly significant). Conclusion This study surprisingly observed a decrease in ECVF with sleep stage in the gray matter of healthy subjects, and in white matter as possible. This finding is contrary to the outcome from the animal studies and needs to confirm with more human subjects.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.089650
Primary Topic
Advanced MRI Techniques and Applications
Type
article
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article

Impact of Sleep on Extracellular Volume in Human Brains: A Study with Simultaneous Sodium (23Na) MRI and EEG

Arjun V. Masurkar, Yvonne W. Lui, Yulin Ge, Ying‐Chia Lin et al.
Alzheimer s & Dementia
Advanced MRI Techniques and Applications
article

Impact of Sleep on Extracellular Volume in Human Brains: A Study with Simultaneous Sodium (23Na) MRI and EEG

Arjun V. Masurkar, Yvonne W. Lui, Yulin Ge, Ying‐Chia Lin, Simon Henin, Yongxian Qian, J. F. Babb, Anli Liu, Zena Rockowitz, Nahbila‐Malikha Kumbella, Xingye Chen
article en

Abstract

Abstract Background Alzheimer's disease is associated with neurotoxic amyloid‐beta (Aβ) plaques. Studies in mice demonstrated that cerebrospinal fluid (CSF) clearance, if impaired, reduces Aβ clearance by 70% and that sleep enhances CSF clearance via expanding extracellular space by 60%. However, the impact of sleep on extracellular volume in human remains unclear due to lack of non‐invasive technology. In this study, we use unique sodium ( 23 Na) magnetic resonance imaging (MRI) to measure extracellular volume fraction (ECVF) in healthy subjects while monitoring their sleep stage with MRI‐compatible electroencephalography (EEG). Method With IRB approval, we studied 16 cognitively‐healthy subjects (age 52.9 ± 17.6 years, ranging 27–77 years, 7 males and 9 females). The study lasted 1.5 hours, including four repeated 16‐min sodium MRIs on a clinical scanner at 3T (Prisma, Siemens), and continuous EEG recording (Brain Vision, 32‐channel, Garner, NC). The subjects were instructed to relax and fall asleep. Sleep was scored to five stages (wake, N1, N2, N3, and REM), based on American Academy of Sleep Medicine (AASM) Manual (v2.6, 2020). Sodium MRI was performed with a dual‐tuned ( 1 H‐ 23 Na) birdcage coil (QED, Cleveland, OH) and a custom‐developed pulse sequence, twisted projection imaging (TPI), with parameters: FOV=220mm, matrix size=64, 3D isotropic, TE/TR = 0.5/100ms, flip angle=90°, averages=6, and TA=16min. ECVF, a e , was calculated on the sodium images voxel‐by‐voxel, i.e., s = ΔV (a e C e + a i C i ) = ΔV (145 a e + 15 a i ), with a e + a i = 1. Result In panel P1 is the set‐up of the study, including the MRI, EEG, sodium images, and hardware set‐up. In P2 are typical EEG waveforms and spectra of sleep stages. In P3 is a representative of ECVF maps from a subject (43 years old, female). In P4 are outcomes of the study. Surprisingly, we observed a decrease in ECVF with sleep stage in the gray matter ( P =0.036) and in the white matter ( P =0.085, nearly significant). Conclusion This study surprisingly observed a decrease in ECVF with sleep stage in the gray matter of healthy subjects, and in white matter as possible. This finding is contrary to the outcome from the animal studies and needs to confirm with more human subjects.

Alzheimer s & DementiaVol. 20(S2)
New York University (US)
Good health and well-being
Openalex Percentile: Top 58%
Advanced MRI Techniques and Applications
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