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A frontotemporal dementia-like phenotype in schizophrenia: links to striatal dopamine and iron accumulation.

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6 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 6 matches · 2 of them tie a paragraph to a whole file, not to given lines: weak matches, whose lines are not tinted
  1. [1] § Materials and methods › Participants ↔ searchindex.js, the whole file · a weak match · score 0.78 · London, granted, health, mental, psychiatrist, article
  2. [2] § Materials and methods › Data analysis › Machine-learning analysis ↔ simulation/nk_SimulateML2.m, lines 1–84 · score 0.70 · outer folds, NeuroMiner, cross validation, machine learning, nested, library
  3. [3] § Materials and methods › Data analysis › Pre-trained bvFTD classifier ↔ searchindex.js, the whole file · a weak match · score 0.70 · cross validation, morphometry, resliced, segmentation, sex, volume
  4. [4] § Materials and methods › Data analysis › Statistical analysis ↔ JuSpace/compute_DomainGauges_2D.m, lines 1–148 · score 0.55 · Pearson correlations, correlation coefficients, Fisher, transformation, scores, NM
  5. [5] § Materials and methods › Data analysis › Pre-trained bvFTD classifier ↔ preproc/drrobust/robpca.m, lines 1–60 · score 0.54 · principal component, high dimensional, cross validation, covariate, maps, preprocessed
  6. [6] § Materials and methods › Data analysis › Machine-learning analysis ↔ trainpredict/liblinear-2.44/python/liblinear/liblinearutil.py, lines 43–162 · score 0.52 · support vector regression, cross validation, SVR, LIBSVM, folds, Machine

Paper

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The authors' code

JavaScript · 1 line · 78 KB · GPL-2.0 · 2 matches

  1. 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searchindex.js at commit 11e9b92, under GPL-2.0 · at the source

Overview

Authors: Xuanhan Chang1, Linda Bryant1, Sergio Mena Ortega1, Oliver Howes1, Jan Sedlacik2, Mattia Veronese1, Matthias L. Schroeter3,4, Paris Alexandros Lalousis1,5, Nikolaos Koutsouleris1,5,6,7, Luke Vano1,2, Fiona Coutts1,8
  1. Institute of Psychiatry, Psychology & Neuroscience, King’s College London,London, UK
  2. Mansfield Centre for Innovation - MR Facility, MRC Laboratory of Medical Sciences, Hammersmith Hospital,London, UK
  3. Max Planck Institute for Human Cognitive and Brain Sciences,Leipzig, Germany
  4. Clinic for Cognitive Neurology at University Leipzig,Leipzig, Germany
  5. Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University,Munich, Germany
  6. Max-Planck Institute of Psychiatry,Munich, Germany
  7. DZPG (German Centre for Mental Health), Partner site Munich/Augsburg, Munich, Germany
  8. Centre for Addictions and Mental Health,Toronto, ON Canada
Dates: received 26 January 2026; accepted 16 April 2026; published online 25 April 2026; in print October 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1038/s41386-026-02426-x · PMID 42034849 · PMCID PMC13598093 · OpenAlex W7155602149
Open access: hybrid, a free copy (OpenAlex)
Status: code verified
Categories: structural MRI / diffusion (modality), PET / SPECT (modality), human (organism), Alzheimer's / dementia (population), schizophrenia / psychosis (population), clinical / translational (subfield)
Methods: Statistics, Smoothing, state filtering, decompositions, Machine learning, Preprocessing, Connectivity, fMRI & imaging
Keywords: Schizophrenia, Dementia
MeSH: Corpus Striatum*, Dopamine*, Frontotemporal Dementia*, Iron*, Schizophrenia*, Adult, Clinical Trials, Phase I as Topic, Dihydroxyphenylalanine, Dopaminergic Imaging, Female, Gray Matter, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Phenotype, Positron-Emission Tomography, Young Adult (* major topic)
Topic: Functional Brain Connectivity Studies (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Citations: cited by 1 paper (Europe PMC); 87 references in the paper

Abstract

Some schizophrenia patients share characteristics with behavioral variant frontotemporal dementia (bvFTD) including gray matter volume (GMV) similarities, suggesting overlapping brain mechanisms that may contribute to disease heterogeneity in schizophrenia. However, it is not yet understood whether schizophrenia patients with a bvFTD-like GMV signature also show additional features of bvFTD. Seventy-six patients with schizophrenia (mean age 31.2 years; 71% male) from a previous clinical trial (NCT04038957) underwent structural magnetic resonance imaging (MRI) to measure GMV. Healthy controls (n = 79) were used for age-related dynamic standardisation. Subsets of patients also completed [¹⁸F]-DOPA positron emission tomography (PET; n = 40) for striatal dopamine synthesis, neuromelanin-sensitive MRI (NM-MRI; n = 68) for midbrain dopaminergic integrity, and quantitative susceptibility mapping (QSM; n = 69) for brain iron accumulation. A previously validated machine-learning–based GMV classifier quantified bvFTD-like pattern expression in each schizophrenia patient. Associations with neurochemical, clinical, and medication measures were examined using correlation analyses. Higher bvFTD scores were associated with lower striatal dopamine synthesis capacity (r = –0.343, p = 0.032) and higher striatal QSM values (r = 0.282, p = 0.020), but showed no significant association with QSM or NM-MRI values in the dopaminergic midbrain (p = 0.903 and p = 0.102, respectively). No significant associations were found with negative symptom severity or with medication. Schizophrenia patients expressing a stronger bvFTD-like GMV pattern show lower striatal dopamine synthesis and elevated striatal iron, both hallmark features of bvFTD. This contrasts with the hyperdopaminergic model of schizophrenia and suggests distinct, potentially neurodegenerative mechanisms.

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

Repositories

Its files are read in the Code ↔ Paper reader above, with 6 matches between paragraphs and lines of code.

neurominer-git.github.io/neurominer_1.2

License: none: the authors keep all their rights
State: the link answers, verified on 30 September 2026
Evidence: the link answers
Software Heritage: not checked
Found in: the text, “Pre-trained bvFTD classifier”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 30 September 2026: the link answers (HTTP 200)
  • 30 September 2026: the link answers (HTTP 200)

neurominer-git/NeuroMiner_1.2

License: GPL-2.0
State: the link answers, verified on 30 September 2026
Evidence: files inventoried
Commit: 11e9b92ef4bcc99e1faee760444880aae813b6bd, 23 July 2024
Languages: MATLAB (2389), C/C++ (275), C (110), C++ (52), Python (29), JavaScript (20), Shell (7), Java (3)
Size: 3,856 files, 2,885 scripts
Software Heritage: not archived
Found in: the references
Holds: README, license file, environment (Python/requirements.txt, trainpredict/liblinear-2.44/python/setup.py), tests, documentation
Not found: CITATION.cff, continuous integration
Tools: SPM (58 files), Statistics and Machine Learning Toolbox (47 files), Brain Connectivity Toolbox (24 files), scikit-learn (9 files), Optimization Toolbox (8 files), Image Processing Toolbox (7 files), SciPy (6 files), FreeSurfer (5 files), NumPy (5 files), fdr_bh (Benjamini-Hochberg FDR) (3 files), Tools for NIfTI and ANALYZE image (MATLAB) (2 files), pandas (2 files), export_fig (1 file), Numba (1 file)
Availability: 1 check, the latest on 30 September 2026: the link answers
  • 30 September 2026: the link answers
2,000 files

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:

  • 2 repositories of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 1,998 scripts, each with its path and the digest of its content;
  • 6 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

Data were taken from a previous clinical trial (NCT04038957) as part of the Department of Psychosis Shared Database Initiative at the Institute for Psychiatry, Psychology and Neuroscience. For details on the data please reach out to Dr Luke Vano.

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

Versions

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Version 1, 30 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 11 authors, 2 keywords, 18 MeSH terms, 1 funder, 83 references.

Cite

This paper

Chang, X., Bryant, L., Mena Ortega, S., Howes, O., Sedlacik, J., Veronese, M., Schroeter, M. L., Lalousis, P. A., Koutsouleris, N., Vano, L., & Coutts, F. (2026). A frontotemporal dementia-like phenotype in schizophrenia: links to striatal dopamine and iron accumulation. Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 51(11), 2074-2082. https://doi.org/10.1038/s41386-026-02426-x

BibTeX

@article{chang2026frontotemporal,
author = {Chang, Xuanhan and Bryant, Linda and Mena Ortega, Sergio and Howes, Oliver and Sedlacik, Jan and Veronese, Mattia and Schroeter, Matthias L. and Lalousis, Paris Alexandros and Koutsouleris, Nikolaos and Vano, Luke and Coutts, Fiona},
title = {{A frontotemporal dementia-like phenotype in schizophrenia: links to striatal dopamine and iron accumulation}},
journal = {Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology},
year = {2026},
month = apr,
volume = {51},
number = {11},
pages = {2074--2082},
publisher = {Nature Publishing Group},
issn = {0893-133X},
doi = {10.1038/s41386-026-02426-x},
url = {https://doi.org/10.1038/s41386-026-02426-x},
pmid = {42034849},
pmcid = {PMC13598093}
}

RIS

TY - JOUR
AU - Chang, Xuanhan
AU - Bryant, Linda
AU - Mena Ortega, Sergio
AU - Howes, Oliver
AU - Sedlacik, Jan
AU - Veronese, Mattia
AU - Schroeter, Matthias L.
AU - Lalousis, Paris Alexandros
AU - Koutsouleris, Nikolaos
AU - Vano, Luke
AU - Coutts, Fiona
TI - A frontotemporal dementia-like phenotype in schizophrenia: links to striatal dopamine and iron accumulation
T2 - Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology
J2 - Neuropsychopharmacology
PY - 2026
DA - 2026/04/25
VL - 51
IS - 11
SP - 2074
EP - 2082
SN - 0893-133X
PB - Nature Publishing Group
DO - 10.1038/s41386-026-02426-x
UR - https://doi.org/10.1038/s41386-026-02426-x
LA - en
ER -

CSL-JSON

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