Evidence map›Paper›PMID 40800458›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2024

Quantifying human gray matter microstructure using neurite exchange imaging (NEXI) and 300 mT/m gradients.

Quentin Uhl, Tommaso Pavan, Malwina Molendowska, Derek K Jones, Marco Palombo, Ileana Ozana Jelescu

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
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

22 citing papers in PubMed.

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  9. ArXiv · 2025
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  17. Imaging neuroscience (Cambridge, Mass.) · 2025
    Article
  18. bioRxiv : the preprint server for biology · 2024
    Article
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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

6 authors.

Quentin UhlDepartment of Radiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland.
Tommaso PavanDepartment of Radiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland.
Malwina MolendowskaCardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, United Kingdom.
Derek K JonesCardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, United Kingdom.
Marco PalomboCardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, United Kingdom.
Ileana Ozana JelescuDepartment of Radiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Biophysical models of diffusion tailored to quantify gray matter microstructure are gathering increasing interest. The two-compartment Neurite EXchange Imaging (NEXI) model has been proposed recently to account for neurites, extra-cellular space, and exchange across the cell membrane. NEXI parameter estimation requires multi-shell multi-diffusion time data and has so far only been implemented experimentally on animal data collected on a preclinical magnetic resonance imaging (MRI) set-up. In this work, the translation of NEXI to the human cortex in vivo was achieved using a 3 T Connectom MRI system with 300 mT/m gradients, that enables the acquisition of a broad range of b-values (0 - 7.5 ms/µm²) with a window covering short to intermediate diffusion times (20 - 49 ms) suitable for the characteristic exchange times (10 - 50 ms). Microstructure estimates of four model variants: NEXI, NEXI

Indexed as

biophysical modelscortexdiffusion MRIexchangehuman brainin vivo

Identifiers

PMID40800458
PMCPMC12247613

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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.