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Cross-vendor reliability of functional and structural brain connectivity in a travelling cohort.

Overview

Authors: Lionel Butry1, Johanna Thomä1, Johannes Forsting1, Elena K. Enax-Krumova1, Lara Schlaffke1,2,3
  1. Ruhr University Bochum, BG University Hospital Bergmannsheil, Department of Neurology,Bochum, Germany
  2. Department of Information Technology, FH Dortmund, University of Applied Sciences and Arts,Dortmund, Germany
  3. Ruhr University Bochum, St. Josef Hospital, University Hospital of Pediatrics and Adolescent Medicine,Bochum, Germany
Journal: Scientific reports, volume 16, issue 1, article 12071
Dates: received 19 January 2026; accepted 2 April 2026; published online 10 April 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1038/s41598-026-47705-1 · PMID 41963485 · PMCID PMC13070028 · OpenAlex W7153008335
Open access: gold, a free copy (OpenAlex)
Status: code verified
Categories: structural MRI / diffusion (modality), fMRI (modality), human (organism), methods / tools (subfield)
Methods: Preprocessing, Connectivity, Statistics, fMRI & imaging
Keywords: Generalizability, Magnetic resonance imaging, Harmonisation, fMRI, DTI, Connectome, Medical research, Neurology, Neuroscience
MeSH: Brain*, Connectome*, Magnetic Resonance Imaging*, Neuroimaging*, Adult, Brain Mapping, Cohort Studies, Female, Humans, Male, Reproducibility of Results (* major topic)
Topic: Functional Brain Connectivity Studies (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Funding: Ruhr-Universität Bochum (1007)
Citations: not cited yet (Europe PMC); 39 references in the paper

Abstract

Scanner-related bias is a major challenge in multi-centre neuroimaging studies. This study assesses cross-vendor reliability of functional and structural brain connectivity (FC, SC) and evaluates the effect of neuroComBat harmonisation. A travelling cohort (n = 10) of healthy participants was scanned on a Siemens Prisma 3T and a Philips Achieva 3.0T system within one week. Reliability metrics of FC (Pearson’s r) and SC (based on iFOD2 & SIFT2) were calculated for each edge before and after neuroComBat harmonisation. At the subject-level, reliability was poor for FC (ICC: 0.22 ± 0.23, wsCV: 62 ± 14%, unharmonised) and fair for SC (ICC: 0.43 ± 0.32, wsCV: 28 ± 15%, unharmonised). At the group-level, Bland-Altman analyses showed minimal systematic bias between scanners in both modalities, but with wide limits of agreement. Pattern similarity was 0.63 (FC) and 0.98 (SC). G Theory analyses showed the scanner accounted for 11.8% (FC) and 7.9% (SC) of the variance. After harmonisation, subject-level reliability only improved marginally, but scanner-dependent variability dropped to 0.8% and 1.1% in FC and SC, respectively. Overall, reliability was higher for SC than FC mirroring their differential temporal stability, for group-averaged than subject-level data, and for full-connectome organisation than for individual edges. NeuroComBat worked as designed, successfully mitigating scanner-dependent variance at the group but not the subject level.

Supplementary Information: The online version contains supplementary material available at 10.1038/s41598-026-47705-1.

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

Code

No file of the authors' code could be read here: it is described below, and read at its source.

Zenodo 18769049

License: CC-BY-4.0
State: the link answers, verified on 29 September 2026
Evidence: files inventoried
Size: 2 files
Software Heritage: not checked
Found in: “Data availability”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 29 September 2026: the link answers (HTTP 200)
  • 29 September 2026: the link answers (HTTP 200)
At the 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;
  • 0 scripts, each with its path and the digest of its content;
  • no match between paragraphs and code yet;
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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 and code used in this study are publicly available at (10.5281/zenodo.18769049).

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, issue, pages, dates, 5 authors, 9 keywords, 11 MeSH terms, 1 funder, 38 references.

Cite

This paper

Butry, L., Thomä, J., Forsting, J., Enax-Krumova, E. K., & Schlaffke, L. (2026). Cross-vendor reliability of functional and structural brain connectivity in a travelling cohort. Scientific reports, 16(1), 12071. https://doi.org/10.1038/s41598-026-47705-1

BibTeX

@article{butry2026cross,
author = {Butry, Lionel and Thomä, Johanna and Forsting, Johannes and Enax-Krumova, Elena K. and Schlaffke, Lara},
title = {{Cross-vendor reliability of functional and structural brain connectivity in a travelling cohort}},
journal = {Scientific reports},
year = {2026},
month = apr,
volume = {16},
number = {1},
pages = {12071},
publisher = {Nature Publishing Group},
issn = {2045-2322},
doi = {10.1038/s41598-026-47705-1},
url = {https://doi.org/10.1038/s41598-026-47705-1},
pmid = {41963485},
pmcid = {PMC13070028}
}

RIS

TY - JOUR
AU - Butry, Lionel
AU - Thomä, Johanna
AU - Forsting, Johannes
AU - Enax-Krumova, Elena K.
AU - Schlaffke, Lara
TI - Cross-vendor reliability of functional and structural brain connectivity in a travelling cohort
T2 - Scientific reports
J2 - Sci Rep
PY - 2026
DA - 2026/04/10
VL - 16
IS - 1
SP - 12071
SN - 2045-2322
PB - Nature Publishing Group
DO - 10.1038/s41598-026-47705-1
UR - https://doi.org/10.1038/s41598-026-47705-1
LA - en
ER -

CSL-JSON

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