Evidence map›Paper›PMID 32029859›Full record

ArticleScientific reports2020

Optimal Mass Transport with Lagrangian Workflow Reveals Advective and Diffusion Driven Solute Transport in the Glymphatic System.

Sunil Koundal, Rena Elkin, Saad Nadeem, Yuechuan Xue, Stefan Constantinou, Simon Sanggaard, Xiaodan Liu, Brittany Monte, Feng Xu, William Van Nostrand and 5 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 85 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed, 1 pooled it
8.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

85 citing papers in PubMed, 1 synthesis or guideline pooled it, 119 citations in OpenAlex.

  1. Pooled it
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  15. Cerebral small vessel disease: The impact of glymphopathy and sleep disorders.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2025
    Review
  16. MR-AIV revealsbioRxiv : the preprint server for biology · 2025
    Article
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25 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 7 institutions in 2 countries.

Sunil Koundal *Department of Anesthesiology, Yale School of Medicine, New Haven, CT, USA.
Rena Elkin *Departments of Computer Science/Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, USA.
Saad NadeemDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, NY, NY, USA.
Yuechuan XueDepartment of Anesthesiology, Yale School of Medicine, New Haven, CT, USA.
Stefan ConstantinouDepartment of Anesthesiology, Yale School of Medicine, New Haven, CT, USA.
Simon SanggaardDepartment of Anesthesiology, Yale School of Medicine, New Haven, CT, USA.
Xiaodan LiuDepartment of Anesthesiology, Yale School of Medicine, New Haven, CT, USA.
Brittany MonteDepartment of Anesthesiology, Yale School of Medicine, New Haven, CT, USA.
Feng XuGeorge & Anne Ryan Institute for Neuroscience, Department of Biomedical and Pharmaceutical Sciences, University of Rhode Island, Rhode Island, RI, USA.
William Van NostrandGeorge & Anne Ryan Institute for Neuroscience, Department of Biomedical and Pharmaceutical Sciences, University of Rhode Island, Rhode Island, RI, USA.
Maiken NedergaardCenter for Translational Neuromedicine, University of Rochester Medical Center, Rochester, NY, USA.
Hedok LeeDepartment of Anesthesiology, Yale School of Medicine, New Haven, CT, USA.
Joanna WardlawBrain Research Imaging Centre, Centre for Clinical Brain Sciences, Dementia Research Institute at the University of Edinburgh, Edinburgh, United Kingdom.ORCID http://orcid.org/0000-0002-9812-6642
Helene BenvenisteDepartment of Anesthesiology, Yale School of Medicine, New Haven, CT, USA.
Allen TannenbaumDepartments of Computer Science/Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, USA. allen.tannenbaum@stonybrook.edu.
Yale University · USUniversity of Rhode Island · USApplied Mathematics (United States) · USMemorial Sloan Kettering Cancer Center · USStony Brook Medicine · USUK Dementia Research Institute · GBUniversity of Rochester Medical Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Para-Vascular Basis of Small Vessel DiseaseR01NS100366 · NINDS · UNIVERSITY OF ROCHESTER · PI NEDERGAARD, MAIKEN · 2016 to 2020
$3.8M
Research Supplement for Kennelia MellansonRF1AG057705 · NIA · STATE UNIVERSITY NEW YORK STONY BROOK · PI BENVENISTE, HELENE D, ENIKOLOPOV, GRIGORI N · 2017 to 2021
$3.7M
Characterizing the glymphatic peri-vascular connectome and its disruption in ADRF1AG053991 · NIA · YALE UNIVERSITY · PI BENVENISTE, HELENE D, NEDERGAARD, MAIKEN · 2016 to 2016
$3.4M
Age and AD related bottlenecks in glymphatic-lymphatic waste transportRF1AG057575 · NIA · UNIVERSITY OF ROCHESTER · PI NEDERGAARD, MAIKEN · 2017 to 2017
$3.2M
Capillary hyperemia in white matter: Novel mechanistic insight and effect of hypertension and agingRF1NS110049 · NINDS · UNIVERSITY OF ROCHESTER · PI NEDERGAARD, MAIKEN, WAN, JIANDI · 2018 to 2018
$2.9M
Chief Scientist Office CZB/4/517NCATS NIH HHS UL1 TR001863NCI NIH HHS P30 CA008748NIA NIH HHS RF1 AG053991NIA NIH HHS RF1 AG057575NIA NIH HHS RF1 AG057705NINDS NIH HHS R01 NS100366NINDS NIH HHS RF1 NS110049
6 · The paper itself

Abstract

The glymphatic system (GS) hypothesis states that advective driven cerebrospinal fluid (CSF) influx from the perivascular spaces into the interstitial fluid space rapidly transport solutes and clear waste from brain. However, the presence of advection in neuropil is contested and solutes are claimed to be transported by diffusion only. To address this controversy, we implemented a regularized version of the optimal mass transport (rOMT) problem, wherein the advection/diffusion equation is the only a priori assumption required. rOMT analysis with a Lagrangian perspective of GS transport revealed that solute speed was faster in CSF compared to grey and white matter. Further, rOMT analysis also demonstrated 2-fold differences in regional solute speed within the brain. Collectively, these results imply that advective transport dominates in CSF while diffusion and advection both contribute to GS transport in parenchyma. In a rat model of cerebral small vessel disease (cSVD), solute transport in the perivascular spaces (PVS) and PVS-to-tissue transfer was slower compared to normal rats. Thus, the analytical framework of rOMT provides novel insights in the local dynamics of GS transport that may have implications for neurodegenerative diseases. Future studies should apply the rOMT analysis approach to confirm GS transport reductions in humans with cSVD.

Indexed as

Models, NeurologicalAnimalsCerebral Small Vessel DiseasesCerebrospinal FluidDiffusionDisease Models, AnimalExtracellular FluidFemaleGlymphatic SystemHumansHydrodynamicsMagnetic Resonance ImagingMaleNeuropilRats

Identifiers

PMID32029859
PMCPMC7004986
OpenAlexW3004896280

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.