Cross-vendor reliability of functional and structural brain connectivity in a travelling cohort.
Overview
- Ruhr University Bochum, BG University Hospital Bergmannsheil, Department of Neurology,Bochum, Germany
- Department of Information Technology, FH Dortmund, University of Applied Sciences and Arts,Dortmund, Germany
- Ruhr University Bochum, St. Josef Hospital, University Hospital of Pediatrics and Adolescent Medicine,Bochum, Germany
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/
Reproduced under the paper's license (CC BY), from the paper cited above.
Code
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Zenodo 18769049
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Data
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Data availability
Data and code used in this study are publicly available at (10.5281/
Reproduced under the paper's license (CC BY), from the paper cited above.
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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://
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/
url = {https://
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/
VL - 16
IS - 1
SP - 12071
SN - 2045-2322
PB - Nature Publishing Group
DO - 10.1038/
UR - https://
LA - en
ER -
CSL-JSON
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