Advertisement

Fluid dynamics during sleep

During non–rapid eye movement sleep, low-frequency oscillations in neural activity support memory consolidation and neuronal computation. Sleep is also associated with increased interstitial fluid volume and clearance of metabolic waste products. It is unknown why these processes co-occur and how they are related. Fultz et al. simultaneously measured electrophysiological, hemodynamic, and flow signals in the human brain (see the Perspective by Grubb and Lauritzen). Large oscillations of fluid inflow to the brain appeared during sleep and were tightly coupled to functional magnetic resonance imaging signals and entrained to electroencephalogram slow waves. Slow oscillatory neuronal activity thus leads to oscillations in blood volume, drawing cerebrospinal fluid into and out of the brain.
Science, this issue p. 628; see also p. 572

Abstract

Sleep is essential for both cognition and maintenance of healthy brain function. Slow waves in neural activity contribute to memory consolidation, whereas cerebrospinal fluid (CSF) clears metabolic waste products from the brain. Whether these two processes are related is not known. We used accelerated neuroimaging to measure physiological and neural dynamics in the human brain. We discovered a coherent pattern of oscillating electrophysiological, hemodynamic, and CSF dynamics that appears during non–rapid eye movement sleep. Neural slow waves are followed by hemodynamic oscillations, which in turn are coupled to CSF flow. These results demonstrate that the sleeping brain exhibits waves of CSF flow on a macroscopic scale, and these CSF dynamics are interlinked with neural and hemodynamic rhythms.
Get full access to this article

View all available purchase options and get full access to this article.

Already a Subscriber?

Supplementary Material

Summary

Materials and Methods
Supplementary Text
Figs. S1 to S10
References (4457)

Resources

File (aax5440_fultz_sm.pdf)

References and Notes

1
S. Diekelmann, J. Born, The memory function of sleep. Nat. Rev. Neurosci. 11, 114–126 (2010).
2
M. Steriade, A. Nuñez, F. Amzica, A novel slow (< 1 Hz) oscillation of neocortical neurons in vivo: Depolarizing and hyperpolarizing components. J. Neurosci. 13, 3252–3265 (1993).
3
M. Massimini, R. Huber, F. Ferrarelli, S. Hill, G. Tononi, The sleep slow oscillation as a traveling wave. J. Neurosci. 24, 6862–6870 (2004).
4
L. Marshall, H. Helgadóttir, M. Mölle, J. Born, Boosting slow oscillations during sleep potentiates memory. Nature 444, 610–613 (2006).
5
A. Destexhe, D. Contreras, in Sleep and Anesthesia, A. Hutt, Ed. (Springer, 2011), p. 258.
6
E. J. W. Van Someren, Y. D. Van Der Werf, P. R. Roelfsema, H. D. Mansvelder, F. H. L. da Silva, Slow brain oscillations of sleep, resting state, and vigilance. Prog. Brain Res. 193, 3–15 (2011).
7
V. V. Vyazovskiy, K. D. Harris, Sleep and the single neuron: The role of global slow oscillations in individual cell rest. Nat. Rev. Neurosci. 14, 443–451 (2013).
8
B. O. Watson, D. Levenstein, J. P. Greene, J. N. Gelinas, G. Buzsáki, Network Homeostasis and State Dynamics of Neocortical Sleep, Neuron 90, 839–852 (2016).
9
M. Fukunaga, S. G. Horovitz, P. van Gelderen, J. A. de Zwart, J. M. Jansma, V. N. Ikonomidou, R. Chu, R. H. R. Deckers, D. A. Leopold, J. H. Duyn, Large-amplitude, spatially correlated fluctuations in BOLD fMRI signals during extended rest and early sleep stages. Magn. Reson. Imaging 24, 979–992 (2006).
10
S. G. Horovitz, M. Fukunaga, J. A. de Zwart, P. van Gelderen, S. C. Fulton, T. J. Balkin, J. H. Duyn, Low frequency BOLD fluctuations during resting wakefulness and light sleep: A simultaneous EEG-fMRI study. Hum. Brain Mapp. 29, 671–682 (2008).
11
A. Mitra, A. Z. Snyder, E. Tagliazucchi, H. Laufs, M. E. Raichle, Propagated infra-slow intrinsic brain activity reorganizes across wake and slow wave sleep. eLife 4, e10781 (2015).
12
M. Boly, V. Perlbarg, G. Marrelec, M. Schabus, S. Laureys, J. Doyon, M. Pélégrini-Issac, P. Maquet, H. Benali, Hierarchical clustering of brain activity during human nonrapid eye movement sleep. Proc. Natl. Acad. Sci. U.S.A. 109, 5856–5861 (2012).
13
T. T. Dang-Vu, M. Schabus, M. Desseilles, G. Albouy, M. Boly, A. Darsaud, S. Gais, G. Rauchs, V. Sterpenich, G. Vandewalle, J. Carrier, G. Moonen, E. Balteau, C. Degueldre, A. Luxen, C. Phillips, P. Maquet, Spontaneous neural activity during human slow wave sleep. Proc. Natl. Acad. Sci. U.S.A. 105, 15160–15165 (2008).
14
C. Kaufmann, R. Wehrle, T. C. Wetter, F. Holsboer, D. P. Auer, T. Pollmächer, M. Czisch, Brain activation and hypothalamic functional connectivity during human non-rapid eye movement sleep: An EEG/fMRI study. Brain 129, 655–667 (2006).
15
L. J. Larson-Prior, J. M. Zempel, T. S. Nolan, F. W. Prior, A. Z. Snyder, M. E. Raichle, Cortical network functional connectivity in the descent to sleep. Proc. Natl. Acad. Sci. U.S.A. 106, 4489–4494 (2009).
16
L. Xie, H. Kang, Q. Xu, M. J. Chen, Y. Liao, M. Thiyagarajan, J. O’Donnell, D. J. Christensen, C. Nicholson, J. J. Iliff, T. Takano, R. Deane, M. Nedergaard, Sleep drives metabolite clearance from the adult brain. Science 342, 373–377 (2013).
17
L. M. Hablitz, H. S. Vinitsky, Q. Sun, F. F. Stæger, B. Sigurdsson, K. N. Mortensen, T. O. Lilius, M. Nedergaard, Increased glymphatic influx is correlated with high EEG delta power and low heart rate in mice under anesthesia. Sci. Adv. 5, eaav5447 (2019).
18
S. Dreha-Kulaczewski, A. A. Joseph, K.-D. Merboldt, H.-C. Ludwig, J. Gärtner, J. Frahm, Inspiration is the major regulator of human CSF flow. J. Neurosci. 35, 2485–2491 (2015).
19
V. Kiviniemi, X. Wang, V. Korhonen, T. Keinänen, T. Tuovinen, J. Autio, P. LeVan, S. Keilholz, Y.-F. Zang, J. Hennig, M. Nedergaard, Ultra-fast magnetic resonance encephalography of physiological brain activity - Glymphatic pulsation mechanisms? J. Cereb. Blood Flow Metab. 36, 1033–1045 (2016).
20
D. Schley, R. Carare-Nnadi, C. P. Please, V. H. Perry, R. O. Weller, Mechanisms to explain the reverse perivascular transport of solutes out of the brain. J. Theor. Biol. 238, 962–974 (2006).
21
J. J. Iliff, M. Wang, D. M. Zeppenfeld, A. Venkataraman, B. A. Plog, Y. Liao, R. Deane, M. Nedergaard, Cerebral arterial pulsation drives paravascular CSF-interstitial fluid exchange in the murine brain. J. Neurosci. 33, 18190–18199 (2013).
22
H. Mestre, J. Tithof, T. Du, W. Song, W. Peng, A. M. Sweeney, G. Olveda, J. H. Thomas, M. Nedergaard, D. H. Kelley, Flow of cerebrospinal fluid is driven by arterial pulsations and is reduced in hypertension. Nat. Commun. 9, 4878 (2018).
23
I. F. Harrison, B. Siow, A. B. Akilo, P. G. Evans, O. Ismail, Y. Ohene, P. Nahavandi, D. L. Thomas, M. F. Lythgoe, J. A. Wells, Non-invasive imaging of CSF-mediated brain clearance pathways via assessment of perivascular fluid movement with diffusion tensor MRI. eLife 7, e34028 (2018).
24
P. S. Özbay, C. Chang, D. Picchioni, H. Mandelkow, T. M. Moehlman, M. G. Chappel-Farley, P. van Gelderen, J. A. de Zwart, J. H. Duyn, Contribution of systemic vascular effects to fMRI activity in white matter. Neuroimage 176, 541–549 (2018).
25
A. Scouten, R. T. Constable, VASO-based calculations of CBV change: Accounting for the dynamic CSF volume. Magn. Reson. Med. 59, 308–315 (2008).
26
S. K. Piechnik, J. Evans, L. H. Bary, R. G. Wise, P. Jezzard, Functional changes in CSF volume estimated using measurement of water T2 relaxation. Magn. Reson. Med. 61, 579–586 (2009).
27
S. Ogawa, T. M. Lee, A. R. Kay, D. W. Tank, Brain magnetic resonance imaging with contrast dependent on blood oxygenation. Proc. Natl. Acad. Sci. U.S.A. 87, 9868–9872 (1990).
28
K. K. Kwong, J. W. Belliveau, D. A. Chesler, I. E. Goldberg, R. M. Weisskoff, B. P. Poncelet, D. N. Kennedy, B. E. Hoppel, M. S. Cohen, R. Turner, Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation. Proc. Natl. Acad. Sci. U.S.A. 89, 5675–5679 (1992).
29
N. K. Logothetis, J. Pauls, M. Augath, T. Trinath, A. Oeltermann, Neurophysiological investigation of the basis of the fMRI signal. Nature 412, 150–157 (2001).
30
B. J. He, M. E. Raichle, The fMRI signal, slow cortical potential and consciousness. Trends Cogn. Sci. 13, 302–309 (2009).
31
C. Mateo, P. M. Knutsen, P. S. Tsai, A. Y. Shih, D. Kleinfeld, Entrainment of Arteriole Vasomotor Fluctuations by Neural Activity Is a Basis of Blood-Oxygenation-Level-Dependent ‘Resting-State’ Connectivity. Neuron 96, 936–948.e3 (2017).
32
M. L. Schölvinck, A. Maier, F. Q. Ye, J. H. Duyn, D. A. Leopold, Neural basis of global resting-state fMRI activity. Proc. Natl. Acad. Sci. U.S.A. 107, 10238–10243 (2010).
33
R. B. Buxton, K. Uludağ, D. J. Dubowitz, T. T. Liu, Modeling the hemodynamic response to brain activation. Neuroimage 23 (suppl. 1), S220–S233 (2004).
34
K. J. Friston, A. Mechelli, R. Turner, C. J. Price, Nonlinear responses in fMRI: The Balloon model, Volterra kernels, and other hemodynamics. Neuroimage 12, 466–477 (2000).
35
A. B. Simon, R. B. Buxton, Understanding the dynamic relationship between cerebral blood flow and the BOLD signal: Implications for quantitative functional MRI. Neuroimage 116, 158–167 (2015).
36
M. Asgari, D. de Zélicourt, V. Kurtcuoglu, Glymphatic solute transport does not require bulk flow. Sci. Rep. 6, 38635 (2016).
37
A. K. Diem, R. O. Carare, R. O. Weller, N. W. Bressloff, A control mechanism for intra-mural peri-arterial drainage via astrocytes: How neuronal activity could improve waste clearance from the brain. PLOS ONE 13, e0205276 (2018).
38
B. A. Mander, V. Rao, B. Lu, J. M. Saletin, J. R. Lindquist, S. Ancoli-Israel, W. Jagust, M. P. Walker, Prefrontal atrophy, disrupted NREM slow waves and impaired hippocampal-dependent memory in aging. Nat. Neurosci. 16, 357–364 (2013).
39
J. K. Holth, S. K. Fritschi, C. Wang, N. P. Pedersen, J. R. Cirrito, T. E. Mahan, M. B. Finn, M. Manis, J. C. Geerling, P. M. Fuller, B. P. Lucey, D. M. Holtzman, The sleep-wake cycle regulates brain interstitial fluid tau in mice and CSF tau in humans. Science 363, 880–884 (2019).
40
E. Shokri-Kojori, G.-J. Wang, C. E. Wiers, S. B. Demiral, M. Guo, S. W. Kim, E. Lindgren, V. Ramirez, A. Zehra, C. Freeman, G. Miller, P. Manza, T. Srivastava, S. De Santi, D. Tomasi, H. Benveniste, N. D. Volkow, β-Amyloid accumulation in the human brain after one night of sleep deprivation. Proc. Natl. Acad. Sci. U.S.A. 115, 4483–4488 (2018).
41
J.-E. Kang, M. M. Lim, R. J. Bateman, J. J. Lee, L. P. Smyth, J. R. Cirrito, N. Fujiki, S. Nishino, D. M. Holtzman, Amyloid-beta dynamics are regulated by orexin and the sleep-wake cycle. Science 326, 1005–1007 (2009).
42
H. F. Iaccarino, A. C. Singer, A. J. Martorell, A. Rudenko, F. Gao, T. Z. Gillingham, H. Mathys, J. Seo, O. Kritskiy, F. Abdurrob, C. Adaikkan, R. G. Canter, R. Rueda, E. N. Brown, E. S. Boyden, L.-H. Tsai, Gamma frequency entrainment attenuates amyloid load and modifies microglia. Nature 540, 230–235 (2016).
43
N. E Fultz, G. Bonmassar, K. Setsompop, R. A. Stickgold, B. R. Rosen, J. R. Polimeni, L. D. Lewis, Sleep-wake imaging ROI time series. Figshare (2019);
44
M. J. Prerau, K. E. Hartnack, G. Obregon-Henao, A. Sampson, M. Merlino, K. Gannon, M. T. Bianchi, J. M. Ellenbogen, P. L. Purdon, Tracking the sleep onset process: An empirical model of behavioral and physiological dynamics. PLOS Comput. Biol. 10, e1003866 (2014).
45
Q. Luo, X. Huang, G. H. Glover, Ballistocardiogram artifact removal with a reference layer and standard EEG cap. J. Neurosci. Methods 233, 137–149 (2014).
46
A. J. W. van der Kouwe, T. Benner, D. H. Salat, B. Fischl, Brain morphometry with multiecho MPRAGE. Neuroimage 40, 559–569 (2008).
47
K. Setsompop, B. A. Gagoski, J. R. Polimeni, T. Witzel, V. J. Wedeen, L. L. Wald, Blipped-controlled aliasing in parallel imaging for simultaneous multislice echo planar imaging with reduced g-factor penalty. Magn. Reson. Med. 67, 1210–1224 (2012).
48
P. J. Allen, O. Josephs, R. Turner, A method for removing imaging artifact from continuous EEG recorded during functional MRI. Neuroimage 12, 230–239 (2000).
49
M. E. H. Chowdhury, K. J. Mullinger, P. Glover, R. Bowtell, Reference layer artefact subtraction (RLAS): A novel method of minimizing EEG artefacts during simultaneous fMRI. Neuroimage 84, 307–319 (2014).
50
G. H. Glover, T. Q. Li, D. Ress, Image-based method for retrospective correction of physiological motion effects in fMRI: RETROICOR. Magn. Reson. Med. 44, 162–167 (2000).
51
C. Iber, S. Ancoli-Israel, A. L. Chesson, S. F. Quan, The AASM Manual for the Scoring of Sleep and Associated Events (American Academy of Sleep Medicine, Westchester, Illinois, ed. 1, 2007).
52
D. N. Greve, B. Fischl, Accurate and robust brain image alignment using boundary-based registration. Neuroimage 48, 63–72 (2009).
53
B. Fischl, FreeSurfer. Neuroimage 62, 774–781 (2012).
54
S. Kim, D. L. Parker, in Magnetic Resonance Angiography: Principles and Applications, J. C. Carr, T. J. Carroll, Eds. (Springer, 2012).
55
H. Bokil, P. Andrews, J. E. Kulkarni, S. Mehta, P. P. Mitra, Chronux: A platform for analyzing neural signals. J. Neurosci. Methods 192, 146–151 (2010).
56
J. H. Gao, I. Miller, S. Lai, J. Xiong, P. T. Fox, Quantitative assessment of blood inflow effects in functional MRI signals. Magn. Reson. Med. 36, 314–319 (1996).
57
J. B. Mandeville, J. J. A. Marota, C. Ayata, G. Zaharchuk, M. A. Moskowitz, B. R. Rosen, R. M. Weisskoff, Evidence of a cerebrovascular postarteriole windkessel with delayed compliance. J. Cereb. Blood Flow Metab. 19, 679–689 (1999).

Information & Authors

Information

Published In

Science
Volume 366Issue 64651 November 2019
Pages: 628 - 631

History

Received: 15 April 2019
Accepted: 18 September 2019

Permissions

Request permissions for this article.

Authors

Affiliations

Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA.
Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA 02129, USA.
Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA 02129, USA.
Department of Radiology, Harvard Medical School, Boston, MA 02115, USA.
Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA 02129, USA.
Department of Radiology, Harvard Medical School, Boston, MA 02115, USA.
Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA.
Department of Psychiatry, Harvard Medical School, Boston, MA 02115, USA.
Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA 02129, USA.
Department of Radiology, Harvard Medical School, Boston, MA 02115, USA.
Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA 02129, USA.
Department of Radiology, Harvard Medical School, Boston, MA 02115, USA.
Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA.
Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA 02129, USA.

Notes

*Corresponding author. Email: [email protected]

Funding Information

http://dx.doi.org/10.13039/100000002National Institutes of Health: P41-EB015896
http://dx.doi.org/10.13039/100000002National Institutes of Health: S10-RR023043
http://dx.doi.org/10.13039/100000002National Institutes of Health: S10-OD010759
http://dx.doi.org/10.13039/100000025National Institute of Mental Health: R00-MH111748
http://dx.doi.org/10.13039/100000025National Institute of Mental Health: R01MH048832
http://dx.doi.org/10.13039/100000025National Institute of Mental Health: R01MH111419
http://dx.doi.org/10.13039/100000025National Institute of Mental Health: R01-MH111438
http://dx.doi.org/10.13039/100000065National Institute of Neurological Disorders and Stroke: R21NS106706
http://dx.doi.org/10.13039/100000070National Institute of Biomedical Imaging and Bioengineering: R01EB019437
http://dx.doi.org/10.13039/100000070National Institute of Biomedical Imaging and Bioengineering: R01EB024343

Metrics & Citations

Metrics

Citations

View Options

Media

Figures

Other

Tables

Share

Information & Authors
Published In
issue cover image
Science
Volume 366|Issue 6465
1 November 2019
Submission history
Received:15 April 2019
Accepted:18 September 2019
Published in print:1 November 2019
Metrics & Citations
Article usage
Altmetrics
Export citation

Select the format you want to export the citation of this publication.

Cited by
  1. A deep sleep stage in Drosophila with a functional role in waste clearance, Science Advances, 7, 4, (2021)./doi/10.1126/sciadv.abc2999
    Abstract
  2. Quantification of Oscillatory Shear Stress from Reciprocating CSF Motion on 4D Flow Imaging, American Journal of Neuroradiology, 42, 3, (479-486), (2021).https://doi.org/10.3174/ajnr.A6941
    Crossref
  3. The frequency-dependent effect of electrical fields on the mobility of intracellular vesicles in astrocytes, Biochemical and Biophysical Research Communications, 534, (429-435), (2021).https://doi.org/10.1016/j.bbrc.2020.11.064
    Crossref
  4. Detailed Assessment of Sleep Architecture With Deep Learning and Shorter Epoch-to-Epoch Duration Reveals Sleep Fragmentation of Patients With Obstructive Sleep Apnea, IEEE Journal of Biomedical and Health Informatics, 25, 7, (2567-2574), (2021).https://doi.org/10.1109/JBHI.2020.3043507
    Crossref
  5. Detection of neuropeptides in vivo and open questions for current and upcoming fluorescent sensors for neuropeptides, Peptides, 136, (170456), (2021).https://doi.org/10.1016/j.peptides.2020.170456
    Crossref
  6. Sleep and Indoor Air Quality, Handbook of Indoor Air Quality, (1-16), (2021).https://doi.org/10.1007/978-981-10-5155-5
    Crossref
  7. undefined, Saratov Fall Meeting 2020: Computations and Data Analysis: from Molecular Processes to Brain Functions, (18), (2021).https://doi.org/10.1117/12.2590856
    Crossref
  8. Orofacial musculoskeletal pain: An evidence-based bio-psycho-social matrix model, Neuroscience & Biobehavioral Reviews, 128, (12-20), (2021).https://doi.org/10.1016/j.neubiorev.2021.06.008
    Crossref
  9. Rethinking the use of hypnotics for treatment of insomnia in the elderly, Expert Opinion on Pharmacotherapy, 22, 8, (953-957), (2021).https://doi.org/10.1080/14656566.2021.1900116
    Crossref
  10. Hydrocephalus Revisited: New Insights into Dynamics of Neurofluids on Macro- and Microscales, Neuropediatrics, 52, 04, (233-241), (2021).https://doi.org/10.1055/s-0041-1731981
    Crossref
  11. See more
Loading...
Share
Share article link

Share on social media
Get Access
Log in to view the full text

AAAS Log in

AAAS login provides access to Science for AAAS members, and access to other journals in the Science family to users who have purchased individual subscriptions, as well as limited access for those who register for access.

Log in via OpenAthens.
Log in via Shibboleth.
More options

Purchase digital access to this article

Download and print this article for your personal scholarly, research, and educational use.

Purchase this issue in print

Buy a single issue of Science for just $15 USD.

View Options
Tables
References

(0)eLetters

No eLetters have been published for this article yet.

eLetters is an online forum for ongoing peer review. Submission of eLetters are open to all. eLetters are not edited, proofread, or indexed. Please read our Terms of Service before submitting your own eLetter.