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Non-invasive MRI of choroid plexus vascular function.

Code ↔ Paper

2 matches between paragraphs of the paper and lines of its authors' code, computed by the harvester (lexical-v1). Click a colored paragraph or line to see its counterpart.

The 2 matches
  1. [1] § Methods › Study 1: Choroid plexus vascular elasticity measured by hypercapnia challenge ↔ pro_CO2_CVR_DLBS_Data.m, lines 76–146 · score 0.68 · EtCO2, BOLD signal, delay, lowest, residual, linear
  2. [2] § Methods › Study 2: Choroid plexus vascular elasticity measured by intermittent breath modulation ↔ pro_CO2_CVR_DLBS_Data.m, lines 76–146 · score 0.55 · EtCO2, BOLD signal, linear, brain

Paper

Loaded from Europe PMC by your browser, not stored by OSCR: doi.org · Europe PMC

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The authors' code

MATLAB · 210 lines · 8 KB · no license · 2 matches

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It can be read at the source: pro_CO2_CVR_DLBS_Data.m.

Overview

Authors: Peiying Liu1, Lori Donaldson1, Beini Hu1, Gagan S Wig2,3, Hanzhang Lu4
ORCID iDs: Peiying Liu, Beini Hu
  1. Department of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States
  2. Center for Vital Longevity & Department of Psychology, The University of Texas at Dallas, Dallas, TX, United States
  3. Department of Psychiatry, The University of Texas Southwestern Medical Center, Dallas, TX, United States
  4. The Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States
Journal: Imaging neuroscience (Cambridge, Mass.), volume 4, article IMAG.a.1216
Dates: received 19 September 2025; accepted 11 March 2026; published online 17 April 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1162/imag.a.1216 · PMID 42016556 · PMCID PMC13094013 · OpenAlex W7147019455
Open access: diamond, a free copy (OpenAlex)
Status: code verified
Categories: fMRI (modality)
Methods: Spectral & time-frequency, Statistics, Preprocessing, fMRI & imaging
Keywords: choroid plexus, vasculature, elasticity, functional MRI, BOLD, aging
Topic: Cerebrospinal fluid and hydrocephalus (Cellular and Molecular Neuroscience, Neuroscience), according to OpenAlex
Funding: National Institutes of Health (P41EB031771, EB031771, U01NS100588, R01 NS115771); National Institute of Neurological Disorders and Stroke (R01 NS115771, U01 NS100588); National Institute of Biomedical Imaging and Bioengineering (P41 EB031771)
Citations: not cited yet (Europe PMC); 37 references in the paper

Abstract

Choroid plexus (ChP) is a highly vascularized tissue in the ventricles of the brain, and it plays an important role in the production of cerebrospinal fluid (CSF) and formation of the blood-CSF barrier. The function of ChP vessels has been implicated in waste clearance efficiency during aging and neurodegenerative diseases. At present, postmortem studies are the main method to assess choroid plexus vascular integrity, with a few tools to measure ChP function in living humans. Here, we proposed a non-invasive MRI approach to assess ChP vascular elasticity based on the detection of MRI signal changes in response to vasoactive challenges. The mechanism of the signal is hypothesized to be due to reciprocal blood and stroma volume alterations during vessel expansion. We demonstrated that ChP vascular elasticity can be evaluated with BOLD MRI using a hypercapnia challenge of CO2 inhalation. This effect is specifically located in the brain ventricles where ChP is abundant. We revealed the ability of the technique in detecting age-related reduction in ChP vascular elasticity. We further showed that this effect can be assessed with gas-free methods, including intermittent breath modulation and resting-state BOLD fMRI. We characterized the image contrast requirement under which this effect can be detected. This technique may provide a clinically feasible tool for assessing ChP vascular function in health and disease.

Reproduced under the paper's license (CC BY), from the paper cited above.

Repository

Its files are read in the Code ↔ Paper reader above, with 2 matches between paragraphs and lines of code.

BrainPhysioMRI/ChP_elasticity

License: none: the authors keep all their rights
State: the link answers, verified on 29 September 2026
Evidence: files inventoried
Commit: 22a138f6cc646d47e6571f49b3110dc6482e46c8, 20 March 2026
Languages: MATLAB (4)
Size: 21 files, 4 scripts
Software Heritage: not archived
Found in: “Data and Code Availability”
Holds: README
Not found: license file, CITATION.cff, environment file, tests, continuous integration, documentation
Tools: SPM (4 files)
Availability: 1 check, the latest on 29 September 2026: the link answers
  • 29 September 2026: the link answers
5 files, not copied: shown from their source

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Tracing map

Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.

What the map holds:

  • 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 4 scripts, each with its path and the digest of its content;
  • 2 matches between paragraphs of the paper and lines of the code (method lexical-v1);
  • neither the text of the paper nor the code itself.

Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

Datasets cited

Data and Code Availability

All data of Study 1 from the DLBS are available open access on OpenNeuro.org (https://openneuro.org/datasets/ds004856). All data of Study 2 are available open access on OpenNeuro.org (https://openneuro.org/datasets/ds007588). All data of Study 3 were downloaded from OpenfMRI (https://openfmri.org/dataset/ds000258/).

The codes used in this work are available at https://github.com/BrainPhysioMRI/ChP_elasticity

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

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Version 1, 29 September 2026: the first record

Recorded: type, language, journal, volume, pages, dates, 5 authors, 6 keywords, 3 funders, 37 references.

Cite

This paper

Liu, P., Donaldson, L., Hu, B., Wig, G. S., & Lu, H. (2026). Non-invasive MRI of choroid plexus vascular function. Imaging neuroscience (Cambridge, Mass.), 4, IMAG.a.1216. https://doi.org/10.1162/imag.a.1216

BibTeX

@article{liu2026non,
author = {Liu, Peiying and Donaldson, Lori and Hu, Beini and Wig, Gagan S and Lu, Hanzhang},
title = {{Non-invasive MRI of choroid plexus vascular function}},
journal = {Imaging neuroscience (Cambridge, Mass.)},
year = {2026},
month = apr,
volume = {4},
pages = {IMAG.a.1216},
publisher = {MIT Press},
issn = {2837-6056},
doi = {10.1162/imag.a.1216},
url = {https://doi.org/10.1162/imag.a.1216},
pmid = {42016556},
pmcid = {PMC13094013}
}

RIS

TY - JOUR
AU - Liu, Peiying
AU - Donaldson, Lori
AU - Hu, Beini
AU - Wig, Gagan S
AU - Lu, Hanzhang
TI - Non-invasive MRI of choroid plexus vascular function
T2 - Imaging neuroscience (Cambridge, Mass.)
J2 - Imaging Neurosci (Camb)
PY - 2026
DA - 2026/04/17
VL - 4
SP - IMAG.a.1216
SN - 2837-6056
PB - MIT Press
DO - 10.1162/imag.a.1216
UR - https://doi.org/10.1162/imag.a.1216
LA - en
ER -

CSL-JSON

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