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The quest for the best: manual, atlas- and spatial prior-based delineation of locus coeruleus.

Overview

  1. Imaging Neuroscience of Ageing – inAGE laboratory, Neurology Department - Inselspital, University Hospital Bern, University Bern, Bern, Switzerland
  2. Graduate School for Health Sciences, University of Bern, Switzerland
  3. Department of Clinical Neurosciences, University of Cambridge, Cambridge, Biomedical Campus, UK
  4. Sorbonne Université, Institut du Cerveau – Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France
  5. Laboratory for Neuroimaging Research, Department of Clinical Neuroscience, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
  6. University Institute for Diagnostic and Interventional Neuroradiology - Inselspital, University Hospital Bern, University Bern, Bern, Switzerland
Journal: NeuroImage. Clinical, volume 51, article 104039
Dates: received 18 May 2026; accepted 19 July 2026; published online 21 July 2026; in print 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1016/j.nicl.2026.104039 · PMID 42492140 · PMCID PMC13427573 · OpenAlex W4416774046
Open access: gold, a free copy (OpenAlex)
Status: dead link
Categories: structural MRI / diffusion (modality), human (organism), methods / tools (subfield)
Methods: Connectivity, Statistics, Smoothing, state filtering, decompositions, Machine learning, fMRI & imaging
Keywords: atlas, locus coeruleus, brainstem nuclei, neuromelanin MRI, quantitative MRI, relaxometry
MeSH: Atlases as Topic*, Image Processing, Computer-Assisted*, Locus Coeruleus*, Magnetic Resonance Imaging*, Adult, Brain Mapping, Female, Humans, Male, Melanins, Middle Aged, Young Adult (* major topic)
Topic: Neurogenesis and neuroplasticity mechanisms (Developmental Neuroscience, Neuroscience), according to OpenAlex
Funding: Swiss National Science Foundation (184784, 213595, 320030); French National Research Agency; Innosuisse Swiss Innovation Agency; Horizon Europe
Citations: not cited yet (Europe PMC); 85 references in the paper

Abstract

Despite advances in neuromelanin-sensitive brain imaging and a plethora of software solutions, the reliable non-invasive delineation of the locus coeruleus (LC) in the human brainstem remains challenging. We sought to evaluate the spatial accuracy and consistency of atlas- and probabilistic spatial prior-based LC delineation. We acquired neuromelanin-sensitive 3 T MRI data in healthy volunteers (n = 24; mean age 40.0 ± 16.8 years; 42% female). Manual labelling by 9 raters performed twice provided the basis for individual- and group-level comparisons, showing moderate inter-rater agreement (mean Dice = 0.7). For the atlas-based labelling, we tested seven open-access LC atlases, a consensus reference representing the atlases' overlap and the averaged manual labelling. Open-access atlases demonstrated low spatial concordance (Dice = 0.2–0.4), while the averaged manual labelling atlas had higher spatial overlap (Dice = 0.6). Probabilistic delineation using spatial priors showed the strongest voxel-wise similarity with manual labelling (r = 0.3) when the averaged manual labelling atlas was used as prior. Principal component analysis confirmed the greater spatial compactness for atlas-based labelling. Atlas-based labelling using the averaged manual labelling atlas in an extended 3 T cohort (n = 2393, mean age 58.44 ± 13.75 years) identified that tissue myelin and iron declined continuously from early adulthood, while free tissue water increased – a neurobiological trend robust to atlas choice. LC volume showed an inverted-U trajectory. Our results highlight the potential of atlas-based labelling for LC identification and demonstrate its sensitivity to physiologically grounded aging processes, suggesting that harmonised validation strategies and context-sensitive approaches can improve reliability.

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.

dmiolga/LC_delineation

License: none: the authors keep all their rights
State: the link is dead, verified on 27 September 2026
Evidence: found in the paper
Software Heritage: not archived
Found in: “Data and code availability”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 27 September 2026: the link is dead
  • 27 September 2026: the link is dead

The paper's code and data availability statement is in the Data section.

Tracing map

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  • 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
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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 will be made available on request.

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

Data Availability Statement

The data from the CoLaus|PsyCoLaus cohort used in this study cannot be fully shared due to the inclusion of potentially sensitive patient information. According to the competent authority, the Research Ethic Committee of the Canton of Vaud, Switzerland, sharing or transferring this data would violate Swiss legislation designed to protect participants' personal rights. However, non-identifiable, individual-level data can be made available to researchers who meet the criteria for accessing confidential data, for detailed instructions please see https://www.colaus-psycolaus.ch/professionals/how-to-collaborate/) by CoLaus|PsyCoLaus Datacenter (CHUV, Lausanne, Switzerland). Code to all analyses and figures will be uploaded to https://github.com/dmiolga/LC_delineation.git once the paper has been accepted.

Data will be made available on request.

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

Versions

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Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, pages, dates, 8 authors, 6 keywords, 12 MeSH terms, 4 funders, 85 references.

Cite

This paper

Dmitrichenko, O., Baldizzi, G., Schmidt, T., Bussy, A., Colliot, O., Lutti, A., Kherif, F., & Draganski, B. (2026). The quest for the best: manual, atlas- and spatial prior-based delineation of locus coeruleus. NeuroImage. Clinical, 51, 104039. https://doi.org/10.1016/j.nicl.2026.104039

BibTeX

@article{dmitrichenko2026quest,
author = {Dmitrichenko, Olga and Baldizzi, Giuseppina and Schmidt, Tatjana and Bussy, Aurélie and Colliot, Olivier and Lutti, Antoine and Kherif, Ferath and Draganski, Bogdan},
title = {{The quest for the best: manual, atlas- and spatial prior-based delineation of locus coeruleus}},
journal = {NeuroImage. Clinical},
year = {2026},
month = jul,
volume = {51},
pages = {104039},
publisher = {Elsevier},
issn = {2213-1582},
doi = {10.1016/j.nicl.2026.104039},
url = {https://doi.org/10.1016/j.nicl.2026.104039},
pmid = {42492140},
pmcid = {PMC13427573}
}

RIS

TY - JOUR
AU - Dmitrichenko, Olga
AU - Baldizzi, Giuseppina
AU - Schmidt, Tatjana
AU - Bussy, Aurélie
AU - Colliot, Olivier
AU - Lutti, Antoine
AU - Kherif, Ferath
AU - Draganski, Bogdan
TI - The quest for the best: manual, atlas- and spatial prior-based delineation of locus coeruleus
T2 - NeuroImage. Clinical
J2 - Neuroimage Clin
PY - 2026
DA - 2026/07/21
VL - 51
SP - 104039
SN - 2213-1582
PB - Elsevier
DO - 10.1016/j.nicl.2026.104039
UR - https://doi.org/10.1016/j.nicl.2026.104039
LA - en
ER -

CSL-JSON

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