Abstract
Fluctuations in brain water content has attracted increasing interest, particularly as regards studies of the glymphatic system, which is connected with the complex organization of dural lymphatic vessels, responsible for cleaning tissue. Disturbances of glymphatic circulation are associated with several brain disorders, including dementia. This article introduces an approach to noninvasive measurement of water dynamics in the human brain utilizing near-infrared spectroscopy (NIRS). We demonstrate the possibility to sense dynamic variations of water content between the skull and grey matter, for instance, in the subarachnoid space. Measured fluctuations in water content, especially in the cerebrospinal fluid (CSF), are assumed to be correlated with the dynamics of glymphatic circulation. The sampling volume for the NIRS optode was estimated by Monte Carlo modelling for the wavelengths of 660, 740, 830 and 980 nm. In addition, using combinations of these wavelengths, this article presents the calculation models for quantifying water and haemodynamics. The presented NIRS technique allows long-term functional brain monitoring, including sleeping time. Furthermore, it is used in combination with different magnetic neuroimaging techniques, particularly magnetic resonance encephalography. Using the combined setup, we report the preliminary results on the interaction between CSF and blood oxygen level-dependent fluctuations.
| Original language | English |
|---|---|
| Article number | e201700123 |
| Journal | Journal of Biophotonics |
| Volume | 11 |
| Issue number | 8 |
| Early online date | 19 Dec 2017 |
| DOIs | |
| Publication status | Published - 8 Aug 2018 |
Funding
Academy of Finland, Grant/Award numbers: 250215, 290596; Russian Science Foundation, Grant/Award number: 15-14-10008; Jane and Aatos Erkko Foundation; European Regional Development Fund The authors acknowledge the internship students Zofia Lor-enc, Ricardo Esteban González, Hanqin Liu and Wang Siyi for assistance with the experimental measurements. A.B., V. Ko. and V.Ki. acknowledge the support provided by CSC— the IT Center for Science, Finland, for computational resources. This study was partially funded by the European Regional Development Fund, coordinated by the Centre for Health and Technology, Oulu, Finland and by a JAES grant. A.B. acknowledges the support provided by the Academy of Finland (grants: 290596). I.M. acknowledges the partial support from the MEPhI Academic Excellence Project (Contract No. 02.a03.21.0005) and Russian Science Foundation (Grant No.: 15-14-10008). M.H. acknowledges the support provided by the Academy of Finland (grant 250215, Finnish Programme for Centres of Excellence in Research 2012-2017). T.M. gratefully acknowledges the support from ITEE Strategic Action (University of Oulu).
Keywords
- brain
- CSF
- glymphatic system
- lymph
- MRI
- Near-infrared spectroscopy
- NIRS
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