1. Xie, L, Kang, H, Xu, Q, et al. Sleep drives metabolite clearance from the adult brain. Science 2013; 342: 373–377.
Google Scholar | Crossref | Medline | ISI2. Iliff, JJ, Wang, M, Zeppenfeld, DM, et al. Cerebral arterial pulsation drives paravascular CSF–interstitial fluid exchange in the murine brain. J Neurosci 2013; 33: 18190–18199.
Google Scholar | Crossref | Medline | ISI3. Jessen NA, Munk ASF, Lundgaard I, et al. The glymphatic system: a beginner’s guide. Neurochemical research 2015; 40: 2583–2599.
Google Scholar | Crossref4. Han, F, Chen, J, Belkin-Rosen, A, et al. Reduced coupling between cerebrospinal fluid flow and global brain activity is linked to Alzheimer disease–related pathology. PLoS Biol 2021; 19: e3001233.
Google Scholar | Crossref | Medline5. Braun, M, Iliff, JJ. The impact of neurovascular, blood-brain barrier, and glymphatic dysfunction in neurodegenerative and metabolic diseases. Int Rev Neurobiol 2020; 154: 413–436.
Google Scholar | Crossref | Medline6. Simon, MJ, Iliff, JJ. Regulation of cerebrospinal fluid (CSF) flow in neurodegenerative, neurovascular and neuroinflammatory disease. Biochim Biophys Acta 2016; 1862: 442–451.
Google Scholar | Crossref | Medline | ISI7. Telano LN and Baker S. Physiology, Cerebral Spinal Fluid. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing. 2022. Available from: https://www.ncbi.nlm.nih.gov/books/NBK519007/.
Google Scholar8. Orešković, D, Radoš, M, Klarica, M. Cerebrospinal fluid secretion by the choroid plexus? Physiol Rev 2016; 96: 1661–1662.
Google Scholar | Crossref | Medline9. Mestre, H, Tithof, J, Du, T, et al. Flow of cerebrospinal fluid is driven by arterial pulsations and is reduced in hypertension. Nat Commun 2018; 9: 1–9.
Google Scholar | Crossref | Medline10. van Veluw, SJ, Hou, SS, Calvo-Rodriguez, M, et al. Vasomotion as a driving force for paravascular clearance in the awake mouse brain. Neuron 2020; 105: 549–561. e545.
Google Scholar | Crossref | Medline11. Chen, L, Beckett, A, Verma, A, et al. Dynamics of respiratory and cardiac CSF motion revealed with real-time simultaneous multi-slice EPI velocity phase contrast imaging. Neuroimage 2015; 122: 281–287.
Google Scholar | Crossref | Medline12. Dreha-Kulaczewski, S, Joseph, AA, Merboldt, K-D, et al. Inspiration is the major regulator of human CSF flow. J Neurosci 2015; 35: 2485–2491.
Google Scholar | Crossref | Medline | ISI13. Dreha-Kulaczewski, S, Joseph, AA, Merboldt, K-D, et al. Identification of the upward movement of human CSF in vivo and its relation to the brain venous system. J Neurosci 2017; 37: 2395–2402.
Google Scholar | Crossref | Medline14. Akaishi, T, Takahashi, T, Nakashima, I, et al. Osmotic pressure of serum and cerebrospinal fluid in patients with suspected neurological conditions. Neural Regen Res 2020; 15: 944–947.
Google Scholar | Crossref | Medline15. Matsumae, M, Kuroda, K, Yatsushiro, S, et al. Changing the currently held concept of cerebrospinal fluid dynamics based on shared findings of cerebrospinal fluid motion in the cranial cavity using various types of magnetic resonance imaging techniques. Neurol Med Chir (Tokyo) 2019; 59: 133–146.
Google Scholar | Crossref | Medline16. Feinberg, DA, Mark, AS. Human brain motion and cerebrospinal fluid circulation demonstrated with MR velocity imaging. Radiology 1987; 163: 793–799.
Google Scholar | Crossref | Medline | ISI17. Yamada, S, Miyazaki, M, Kanazawa, H, et al. Visualization of cerebrospinal fluid movement with spin labeling at MR imaging: preliminary results in normal and pathophysiologic conditions. Radiology 2008; 249: 644–652.
Google Scholar | Crossref | Medline | ISI18. Jaeger, E, Sonnabend, K, Schaarschmidt, F, et al. Compressed-sensing accelerated 4D flow MRI of cerebrospinal fluid dynamics. Fluids Barriers Cns 2020; 17: 1–11.
Google Scholar | Crossref | Medline19. Fultz, NE, Bonmassar, G, Setsompop, K, et al. Coupled electrophysiological, hemodynamic, and cerebrospinal fluid oscillations in human sleep. Science 2019; 366: 628–631.
Google Scholar | Crossref | Medline20. Liu, TT, Nalci, A, Falahpour, M. The global signal in fMRI: nuisance or information? Neuroimage 2017; 150: 213–229.
Google Scholar | Crossref | Medline21. Mokri, B. The monro–kellie hypothesis: applications in CSF volume depletion. Neurology 2001; 56: 1746–1748.
Google Scholar | Crossref | Medline | ISI22. Delaidelli, A, Moiraghi, A. Respiration: a new mechanism for CSF circulation? J Neurosci 2017; 37: 7076–7078.
Google Scholar | Crossref | Medline23. Dreha-Kulaczewski, S, Konopka, M, Joseph, AA, et al. Respiration and the watershed of spinal CSF flow in humans. Sci Rep 2018; 8: 1–7.
Google Scholar | Crossref | Medline24. Spijkerman, JM, Geurts, LJ, Siero, JC, et al. Phase contrast MRI measurements of net cerebrospinal fluid flow through the cerebral aqueduct are confounded by respiration. J Magn Reson Imaging 2019; 49: 433–444.
Google Scholar | Crossref | Medline25. Vigneau ‐Roy, N, Bernier, M, Descoteaux, M, et al. Regional variations in vascular density correlate with resting‐state and task‐evoked blood oxygen level‐dependent signal amplitude. Hum Brain Mapp 2014; 35: 1906–1920.
Google Scholar | Crossref | Medline26. Yang, HC, Liang, Z, Yao, J, et al. Vascular effects of caffeine found in BOLD fMRI. J Neurosci Res 2019; 97: 456–466.
Google Scholar | Crossref | Medline27. Christen, T, Jahanian, H, Ni, WW, et al. Noncontrast mapping of arterial delay and functional connectivity using resting‐state functional MRI: a study in moyamoya patients. J Magn Reson Imaging 2015; 41: 424–430.
Google Scholar | Crossref | Medline | ISI28. Tong, Y, Lindsey, KP, Hocke, LM, et al. Perfusion information extracted from resting state functional magnetic resonance imaging. J Cereb Blood Flow Metab 2017; 37: 564–576.
Google Scholar | SAGE Journals | ISI29. Ni, L, Li, J, Li, W, et al. The value of resting-state functional MRI in subacute ischemic stroke: comparison with dynamic susceptibility contrast-enhanced perfusion MRI. Sci Rep 2017; 7: 41586–41588.
Google Scholar | Crossref | Medline30. Aso, T, Jiang, G, Urayama, S-i, et al. A resilient, non-neuronal source of the spatiotemporal lag structure detected by bold signal-based blood flow tracking. Front Neurosci 2017; 11: 256.
Google Scholar | Crossref | Medline31. Buxton, RB, Wong, EC, Frank, LR. Dynamics of blood flow and oxygenation changes during brain activation: the balloon model. Magn Reson Med 1998; 39: 855–864.
Google Scholar | Crossref | Medline | ISI32. Power, JD, Plitt, M, Laumann, TO, et al. Sources and implications of whole-brain fMRI signals in humans. Neuroimage 2017; 146: 609–625.
Google Scholar | Crossref | Medline33. Zhang, Y, Brady, M, Smith, S. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm. IEEE Trans Med Imaging 2001; 20: 45–57.
Google Scholar | Crossref | Medline | ISI34. Tong, Y, Yao, J, Chen, JJ, et al. The resting-state fMRI arterial signal predicts differential blood transit time through the brain. J Cereb Blood Flow Metab 2019; 39: 1148–1160.
Google Scholar | SAGE Journals | ISI35. Yao, J, Wang, JH, Yang, HC, et al. Cerebral circulation time derived from fMRI signals in large blood vessels. J Magn Reson Imaging 2019; 50: 1504–1513.
Google Scholar | Crossref | Medline36. Hocke, LM, Tong, Y, Lindsey, KP, et al. Comparison of peripheral NIRS LFOs to other denoising methods in resting state functional fMRI with ultra-high temporal resolution. Magn Reson Med 2016; 76: 1697–1707.
Google Scholar | Crossref | Medline37. Aslan, S, Hocke, L, Schwarz, N, et al. Extraction of the cardiac waveform from simultaneous multislice fMRI data using slice sorted averaging and a deep learning reconstruction filter. Neuroimage 2019; 198: 303–316.
Google Scholar | Crossref | Medline38. Klose, U, Strik, C, Kiefer, C, et al. Detection of a relation between respiration and CSF pulsation with an echoplanar technique. J Magn Reson Imaging 2000; 11: 438–444.
Google Scholar | Crossref | Medline | ISI39. Gao, YR, Drew, PJ. Effects of voluntary locomotion and calcitonin gene-related peptide on the dynamics of single dural vessels in awake mice. J Neurosci 2016; 36: 2503–2516.
Google Scholar | Crossref | Medline40. Drew, PJ, Shih, AY, Kleinfeld, D. Fluctuating and sensory-induced vasodynamics in rodent cortex extend arteriole capacity. Proc Natl Acad Sci U S A 2011; 108: 8473–8478.
Google Scholar | Crossref | Medline | ISI41. Aalkjær, C, Boedtkjer, D, Matchkov, V. Vasomotion – what is currently thought? Acta Physiol (Oxf) 2011; 202: 253–269.
Google Scholar | Crossref | Medline | ISI42. Osol, G, Halpern, W. Spontaneous vasomotion in pressurized cerebral arteries from genetically hypertensive rats. Am J Physiol 1988; 254: H28–33.
Google Scholar | Medline | ISI43. Drew, PJ. Vascular and neural basis of the BOLD signal. Curr Opin Neurobiol 2019; 58: 61–69.
Google Scholar | Crossref | Medline44. Tong, Y, Frederick, BD. Time lag dependent multimodal processing of concurrent fMRI and near-infrared spectroscopy (NIRS) data suggests a global circulatory origin for low-frequency oscillation signals in human brain. Neuroimage 2010; 53: 553–564.
Google Scholar | Crossref | Medline | ISI45. Kleinfeld, D, Mitra, PP, Helmchen, F, et al. Fluctuations and stimulus-induced changes in blood flow observed in individual capillaries in layers 2 through 4 of rat neocortex. Proc Natl Acad Sci U S A 1998; 95: 15741–15746.
Google Scholar | Crossref | Medline | ISI46. Drew, PJ, Shih, AY, Driscoll, JD, et al. Chronic optical access through a polished and reinforced thinned skull. Nat Methods 2010; 7: 981–984.
Google Scholar | Crossref | Medline | ISI47. Mayhew, JE, Askew, S, Zheng, Y, et al. Cerebral vasomotion: a 0.1-Hz oscillation in reflected light imaging of neural activity. Neuroimage 1996; 4: 183–193.
Google Scholar | Crossref | Medline | ISI48. Mateo, C, Knutsen, PM, Tsai, PS, et al. Entrainment of arteriole vasomotor fluctuations by neural activity is a basis of blood-oxygenation-level-dependent “resting-state” connectivity. Neuron 2017; 96: 936–948.