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Analysis of convective and diffusive transport in the brain interstitium

Authors :
Lori Ray
Jeffrey J. Iliff
Jeffrey J. Heys
Source :
Fluids and Barriers of the CNS, Vol 16, Iss 1, Pp 1-18 (2019)
Publication Year :
2019
Publisher :
BMC, 2019.

Abstract

Abstract Background Despite advances in in vivo imaging and experimental techniques, the nature of transport mechanisms in the brain remain elusive. Mathematical modelling verified using available experimental data offers a powerful tool for investigating hypotheses regarding extracellular transport of molecules in brain tissue. Here we describe a tool developed to aid in investigation of interstitial transport mechanisms, especially the potential for convection (or bulk flow) and its relevance to interstitial solute transport, for which there is conflicting evidence. Methods In this work, we compare a large body of published experimental data for transport in the brain to simulations of purely diffusive transport and simulations of combined convective and diffusive transport in the brain interstitium, incorporating current theories of perivascular influx and efflux. Results The simulations show (1) convective flow in the interstitium potentially of a similar magnitude to diffusive transport for molecules of interest and (2) exchange between the interstitium and perivascular space, whereby fluid and solutes may enter or exit the interstitium, are consistent with the experimental data. Simulations provide an upper limit for superficial convective velocity magnitude (approximately $$v$$ v = 50 μm min−1), a useful finding for researchers developing techniques to measure interstitial bulk flow. Conclusions For the large molecules of interest in neuropathology, bulk flow may be an important mechanism of interstitial transport. Further work is warranted to investigate the potential for bulk flow.

Details

Language :
English
ISSN :
20458118
Volume :
16
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Fluids and Barriers of the CNS
Publication Type :
Academic Journal
Accession number :
edsdoj.7b8175fffbe94295ba2182c9ae934ed7
Document Type :
article
Full Text :
https://doi.org/10.1186/s12987-019-0126-9