Myo-inositol concentration in the medial prefrontal cortex is associated with changes in brain white matter microstructure in early psychosis.
The 2 matches
- [1] § Methods › Microstructure estimation ↔ matlab/WMTI_Watson_maps.m, lines 1–96 · score 0.88 · axonal water fraction, perpendicular diffusivities, parameter maps, axonal diffusivity, extra axonal, orientation
- [2] § Methods › Microstructure estimation ↔ WMTI_Watson.py, lines 164–248 · score 0.87 · axonal water fraction, perpendicular diffusivities, axonal diffusivity, parameter maps, extra axonal, orientation
Paper
Loaded from Europe PMC by your browser, not stored by OSCR: doi.org · Europe PMC
The paper is loaded when this pane is shown.
The authors' code
MATLAB · 124 lines · 3.7 KB · no license · 1 match
WMTI_Watson_maps.m at commit 97d9c02, no license · at the source
Overview
- Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
- Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- Service of General Psychiatry, Treatment and Early Intervention in Psychosis Program. Lausanne University Hospital (CHUV), Lausanne, Switzerland
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience. King’s College of London, London, UK
- Centro Investigacion Biomedica en Red de Salud Mental (CIBERSAM); Instituto de Biomedicina de Sevilla (IBIS), Hospital Universitario Virgen del Rocio, Departamento de Psiquiatria, Universidad de Sevilla, Sevilla, Spain
- Division of Child and Adolescent Psychiatry, Department of Psychiatry, Lausanne University Hospital and the University of Lausanne, Lausanne, Switzerland
- Center for Biomedical Imaging (CIBM), Lausanne, Switzerland
- Institute of Physics (IPHYS), Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
Abstract
Recent research highlights the critical role of white matter (WM) alterations in psychosis and schizophrenia (SZ), reporting volumetric and structural brain changes in affected individuals. In this study, we explored the role of astroglia in SZ, which is believed to play a role in white matter integrity. We investigated for the first time the associations between advanced diffusion Magnetic Resonance Imaging (dMRI) measures of WM microstructure and Magnetic Resonance Spectroscopy (MRS)-derived glial markers in 30 subjects with early psychosis (EP, mean age 24 ± 6) versus 49 healthy controls (HC, mean age 25 ± 6). We focused on two metabolites involved in glia: myo-Inositol (myo-Ins) and total Choline (tCho), measured in the medial prefrontal cortex (mPFC), relating them to quantitative dMRI metrics derived from Diffusion Kurtosis Imaging (DKI) and WM Tract Integrity-Watson (WMTI-W) biophysical model, including mean diffusivity and kurtosis, axonal water fraction and extra-axonal diffusivities in the whole white matter. Our findings reveal a difference between EP and HC in WM diffusivities, specifically in the extra-axonal parallel direction, but not in MRS metabolites. However, we found that the mPFC myo-Ins concentrations in EP are exclusively and strongly associated with proximal WM microstructure features, in the form of a positive correlation with axonal water fraction, a proxy for axonal density, and a negative correlation with extra-axonal parallel diffusivity, suggesting the white matter alterations could be linked to astrocytic changes in early psychosis.
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.
Mic-map/WMTI-Watson_Python
97d9c024824655945007fe4a9d1a6b2d729e0d03, 9 July 2024Availability: 1 check, the latest on 27 September 2026: the link answers
- 27 September 2026: the link answers
4 files, not copied: shown from their source
OSCR keeps no copy of these files: this repository has no license that allows it. The reader above shows each one from its source, fetched by your browser at commit 97d9c02, when its fingerprint is the one OSCR verified. How this works.
- WMTI_Watson.py — Python, 248 lines, 1 match, shown from its source
- matlab/
WMTI_Watson_maps.m — MATLAB, 124 lines, 1 match, shown from its source - matlab/
WMTI_Watson_wrapper.m — MATLAB, 56 lines, shown from its source - README.md — Text, 58 lines, shown from its source
The paper's code and data availability statement is in the Data section.
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;
- 3 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
No dataset and no data link were found in the paper.
Data availability
The data supporting the findings of this study are available from the corresponding author upon reasonable request. The code for WMTI-W can be found here: https://
Reproduced under the paper's license (CC BY), from the paper cited above.
Versions
The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.
Version 1, 27 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 13 authors, 3 keywords, 15 MeSH terms, 1 funder, 98 references.
Cite
This paper
Pavan, T., Wang, Q., Alemán-Gómez, Y., Jenni, R., Cleusix, M., Alameda, L., Q Do, K., Conus, P., Hagmann, P., Steullet, P., Klauser, P., Xin, L., & Jelescu, I. (2026). Myo-inositol concentration in the medial prefrontal cortex is associated with changes in brain white matter microstructure in early psychosis. Translational psychiatry, 16(1), 393. https://
BibTeX
@article{pavan2026myo,
author = {Pavan, Tommaso and Wang, Qiaochu and Alemán-Gómez, Yasser and Jenni, Raoul and Cleusix, Martine and Alameda, Luis and Q Do, Kim and Conus, Philippe and Hagmann, Patric and Steullet, Pascal and Klauser, Paul and Xin, Lijing and Jelescu, Ileana},
title = {{Myo-inositol concentration in the medial prefrontal cortex is associated with changes in brain white matter microstructure in early psychosis}},
journal = {Translational psychiatry},
year = {2026},
month = jun,
volume = {16},
number = {1},
pages = {393},
publisher = {Nature Publishing Group},
issn = {2158-3188},
doi = {10.1038/
url = {https://
pmid = {42230558},
pmcid = {PMC13444330}
}
RIS
TY - JOUR
AU - Pavan, Tommaso
AU - Wang, Qiaochu
AU - Alemán-Gómez, Yasser
AU - Jenni, Raoul
AU - Cleusix, Martine
AU - Alameda, Luis
AU - Q Do, Kim
AU - Conus, Philippe
AU - Hagmann, Patric
AU - Steullet, Pascal
AU - Klauser, Paul
AU - Xin, Lijing
AU - Jelescu, Ileana
TI - Myo-inositol concentration in the medial prefrontal cortex is associated with changes in brain white matter microstructure in early psychosis
T2 - Translational psychiatry
J2 - Transl Psychiatry
PY - 2026
DA - 2026/
VL - 16
IS - 1
SP - 393
SN - 2158-3188
PB - Nature Publishing Group
DO - 10.1038/
UR - https://
LA - en
ER -
CSL-JSON
{
"id": "10.1038/
"type": "article-journal",
"title": "Myo-inositol concentration in the medial prefrontal cortex is associated with changes in brain white matter microstructure in early psychosis",
"container-title": "Translational psychiatry",
"author": [
{
"family": "Pavan",
"given": "Tommaso"
},
{
"family": "Wang",
"given": "Qiaochu"
},
{
"family": "Alemán-Gómez",
"given": "Yasser"
},
{
"family": "Jenni",
"given": "Raoul"
},
{
"family": "Cleusix",
"given": "Martine"
},
{
"family": "Alameda",
"given": "Luis"
},
{
"family": "Q Do",
"given": "Kim"
},
{
"family": "Conus",
"given": "Philippe"
},
{
"family": "Hagmann",
"given": "Patric"
},
{
"family": "Steullet",
"given": "Pascal"
},
{
"family": "Klauser",
"given": "Paul"
},
{
"family": "Xin",
"given": "Lijing"
},
{
"family": "Jelescu",
"given": "Ileana"
}
],
"container-title-short":
"volume": "16",
"issue": "1",
"page": "393",
"DOI": "10.1038/
"PMID": "42230558",
"PMCID": "PMC13444330",
"ISSN": "2158-3188",
"publisher": "Nature Publishing Group",
"URL": "https://
"language": "en",
"issued": {
"date-parts": [
[
2026,
6,
2
]
]
}
}
The tracing map gets a citation of its own once an author has validated it and it has a DOI.
Similar papers
The papers with a page that share the most with this one: the tools found in their code, their categories, datasets, cited references and authors, the rarest counting most.
- [1] doi:10.1162/imag.a.1276 [code]
- High-resolution whole-brain magnetic resonance spectroscopic imaging in youth at risk for psychosis.Journal: Imaging neuroscience (Cambridge, Mass.)In common: NiBabel, SciPy, NumPy, schizophrenia / psychosis, 9 references, 3 authors
- [2] doi:10.1162/imag.a.1317 [code]
- Bayesian insights into exchange and restriction in gray matter diffusion MRI.Journal: Imaging neuroscience (Cambridge, Mass.)In common: NiBabel, NumPy, structural MRI / diffusion, 2 references, 2 authors
- [3] doi:10.1038/s41467-026-70018-w [code]
- Geometry of the cumulant series in diffusion MRI.Journal: Nature communicationsIn common: Tools for NIfTI and ANALYZE image (MATLAB), structural MRI / diffusion, 6 references
- [4] doi:10.2463/mrms.mp.2024-0149 [code]
- Image Distortion Correction for Diffusion MR Imaging Using a Transformer-based U-Net.Journal: Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in MedicineIn common: Tools for NIfTI and ANALYZE image (MATLAB), NiBabel, SciPy, 1 other tool, structural MRI / diffusion, 3 references
- [5] doi:10.1038/s41598-026-51531-w [code]
- Multimodal age-dependent diffusion-MRI analysis of the neocortex in a rat model of cortical dysplasia.Journal: Scientific reportsIn common: NiBabel, SciPy, NumPy, structural MRI / diffusion, 4 references
- [6] doi:10.1002/nbm.70277 [code]
- Hierarchical Bayesian Modelling Improves Microstructural Parameter Mapping in Diffusion and Exchange MRI Data.Journal: NMR in biomedicineIn common: Tools for NIfTI and ANALYZE image (MATLAB), Optimization Toolbox, NiBabel, 2 other tools, structural MRI / diffusion, 1 reference
- [7] doi:10.1002/mrm.70507 [code]
- Comparative Systematic Analysis of Gray Matter Biophysical Models on a Public Dataset.Journal: Magnetic resonance in medicineIn common: NiBabel, SciPy, NumPy, structural MRI / diffusion, author Ileana O. Jelescu
- [8] doi:10.1038/s41586-026-10631-3 [code]
- A prognostic human brain network for diffuse midline glioma.Journal: NatureIn common: Tools for NIfTI and ANALYZE image (MATLAB), Optimization Toolbox, NiBabel, 2 other tools, 1 reference
- [9] doi:10.1038/s41467-026-71151-2 [code]
- Common and distinct neural correlates of social interaction processing and theory of mind in narratives.Journal: Nature communicationsIn common: Optimization Toolbox, NiBabel, SciPy, 1 other tool, 3 references
- [10] doi:10.1371/journal.pbio.3003861
- Learning engages transient and sustained cellular mechanisms in the human brain.Journal: PLoS biologyIn common: structural MRI / diffusion, 4 references
Contribute
The authors of this paper can claim it, correct its record and validate its tracing map, and the maintainers of its code (its owner, or a public member of its organization) correct what it says of their repository; anyone signed in can ask for its removal. Every request goes to OSCR's own machine, which answers it; your account page follows them.
Sign in with ORCID to claim this paper as one of its authors, correct its record or validate its tracing map: when the paper's metadata lists your ORCID iD, you are recognized at once. Maintainers of its code: sign in with GitHub, then claim the repository on your account page.
Claim this paper
Correct its record
Say what each link of this record is, remove the ones that are not the paper's, add the ones that are missing. The correction becomes a new version of the record, in its Versions section.
Validate its tracing map
You validate the map as this page shows it: 1 repository of the authors' code, each at its verified commit and with its license, 3 scripts, and 2 matches between paragraphs and code (see the Code and Map sections). It then receives a DOI on Zenodo, with you (your ORCID iD) and OSCR as its creators; the code itself is not deposited.
The map's fingerprint: sha256:559d37d0c0d41114…
Add the badge to its README
The badge links the code to this page. Copy one of these into the README of the paper's code: only you decide where it goes, and nothing is changed for you.
Markdown
[, paste the snippet at the top, then “Commit changes…” and, to review it first, “Create a new branch and start a pull request”. You open the pull request; OSCR asks for no permission.
Request its removal
To ask OSCR to remove this record, the copies of its authors' scripts or its tracing map, use the removal request page: signed in, you say who you are, what to remove and why, then review and confirm the request. Published rules decide every request (how).
Discussion, reproductions, activity
Discussion: questions and error reports about this paper and its code, from signed-in readers and its authors. It opens with sign-in.
Reproductions: reports from readers who ran the authors' code: what they reproduced, with which environment, commit and data. It opens with sign-in.
Activity: what happens around this paper: new versions of its record, its map's validation, discussions and reproductions. It opens with sign-in.