Evidence map›Paper›PMID 35643187›Full record

ReviewNeurobiology of disease2022

Quantifying cerebrospinal fluid dynamics: A review of human neuroimaging contributions to CSF physiology and neurodegenerative disease.

Neel H Mehta, Richard A Suss, Jonathan P Dyke, Neil D Theise, Gloria C Chiang, Sara Strauss, Leslie Saint-Louis, Yi Li, Silky Pahlajani, Vivek Babaria and 3 more

Open access · goldAbstract readReview
In one paragraph

Review in Neurobiology of disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 4% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

  1. Utility of cortical tissue analysis in normal pressure hydrocephalus.Cerebral cortex (New York, N.Y. : 1991) · 2024
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Idiopathic CSF dynamic disturbances causing headache: a narrative review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Review
  7. Review
  8. MRI markers of cerebrospinal fluid dynamics predict dementia and mediate the impact of cardiovascular risk.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  9. Article
  10. Article
  11. Fluid dynamics model of the cerebral ventricular system.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  12. Review
  13. Review
  14. Review
  15. Review
  16. Article
  17. Review
  18. A brain-wide solute transport model of the glymphatic system.Journal of the Royal Society, Interface · 2024
    Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 7 institutions in 2 countries.

Neel H MehtaDepartment of Biology, Cornell University, Ithaca, NY, USA.
Richard A SussDivision of Neuroradiology, Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Jonathan P DykeCitigroup Biomedical Imaging Center, Weill Cornell Medicine, New York, NY, USA.
Neil D TheiseDepartment of Pathology, NYU Grossman School of Medicine, New York, NY, USA.
Gloria C ChiangDivision of Neuroradiology, Department of Radiology, Weill Cornell Medicine, New York, NY, USA.
Sara StraussDivision of Neuroradiology, Department of Radiology, Weill Cornell Medicine, New York, NY, USA.
Leslie Saint-LouisDepartment of Radiology, NYU Langone Health, New York, NY, USA.
Yi LiBrain Health Imaging Institute, Department of Radiology, Weill Cornell Medicine, New York, NY, USA.
Silky PahlajaniBrain Health Imaging Institute, Department of Radiology, Weill Cornell Medicine, New York, NY, USA.
Vivek BabariaOrange County Spine and Sports, Interventional Physiatry, Newport Beach, CA, USA.
Lidia GlodzikBrain Health Imaging Institute, Department of Radiology, Weill Cornell Medicine, New York, NY, USA.
Roxana O CarareDepartment of Medicine, University of Southampton, Southampton, UK.
Mony J de LeonBrain Health Imaging Institute, Department of Radiology, Weill Cornell Medicine, New York, NY, USA. Electronic address: mdl4001@med.cornell.edu.
Cornell University · USWeill Cornell Medicine · USMIND Research Institute · USNew York University · USNYU Langone Health · USThe University of Texas Southwestern Medical Center · USUniversity of Southampton · GB

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
Disparities in COVID Disease Severity and Outcomes in New York CityUL1TR002384 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI JULIANNE L IMPERATO-MCGINLEY · 2017 to 2026
$86.2M
PREDICTORS OF COGNITIVE DECLINE IN NORMAL AGINGR01AG012101 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI DE LEON, MONY J., RUSINEK, HENRY · 1993 to 2015
$6.7M
CLINICAL CORRELATES OF LONGITUDINAL PET CHANGES IN ADR01AG013616 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI DE LEON, MONY J. · 1995 to 2013
$6.2M
Biomarkers in Early Alzheimer's Disease (AD).R01AG022374 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI DE LEON, MONY J., RUSINEK, HENRY · 2004 to 2015
$5.2M
PET Measures of CSF Clearance in Preclinical Alzheimer's DiseaseRF1AG057570 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI DE LEON, MONY J. · 2017 to 2017
$4.1M
The effects of iron on oxidative stress and Alzheimer's biomarkers in amyloid-positive and negative elderly normalR01AG068398 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI CHIANG, GLORIA CHIA-YI · 2020 to 2024
$2.8M
CSF Clearance with 11C-Butanol PET Predicts Amyloid DepositionR56AG058913 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI DE LEON, MONY J., RUSINEK, HENRY · 2018 to 2018
$861k
NCATS NIH HHS UL1 TR001873NCATS NIH HHS UL1 TR002384NIA NIH HHS R01 AG012101NIA NIH HHS R01 AG013616NIA NIH HHS R01 AG022374NIA NIH HHS R01 AG068398NIA NIH HHS R56 AG058913NIA NIH HHS RF1 AG057570
6 · The paper itself

Abstract

Cerebrospinal fluid (CSF), predominantly produced in the ventricles and circulating throughout the brain and spinal cord, is a key protective mechanism of the central nervous system (CNS). Physical cushioning, nutrient delivery, metabolic waste, including protein clearance, are key functions of the CSF in humans. CSF volume and flow dynamics regulate intracranial pressure and are fundamental to diagnosing disorders including normal pressure hydrocephalus, intracranial hypotension, CSF leaks, and possibly Alzheimer's disease (AD). The ability of CSF to clear normal and pathological proteins, such as amyloid-beta (Aβ), tau, alpha synuclein and others, implicates it production, circulation, and composition, in many neuropathologies. Several neuroimaging modalities have been developed to probe CSF fluid dynamics and better relate CSF volume and flow to anatomy and clinical conditions. Approaches include 2-photon microscopic techniques, MRI (tracer-based, gadolinium contrast, endogenous phase-contrast), and dynamic positron emission tomography (PET) using existing approved radiotracers. Here, we discuss CSF flow neuroimaging, from animal models to recent clinical-research advances, summarizing current endeavors to quantify and map CSF flow with implications towards pathophysiology, new biomarkers, and treatments of neurological diseases.

Indexed as

Alzheimer DiseaseNeurodegenerative DiseasesAmyloid beta-PeptidesBiomarkersHumansNeuroimagingPeptide FragmentsPositron-Emission Tomographytau ProteinsAmyloid beta-PeptidesBiomarkersPeptide Fragmentstau ProteinsCerebrospinal fluidFluid dynamicsModalitiesMRINeuroimagingPET

Identifiers

PMID35643187
PMCPMC9987579
OpenAlexW4281609131

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.