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Multimodal ultra-high-field MRI, clinical, cognitive, and genetic profiles across the ALS-FTD spectrum.

Overview

Authors: Thomas B Shaw1,2,3, Aiman Al Najjar2, Markus Barth1,2, Steffen Bollmann1,4, Pierrick Bourgeat5, Jeryn Chang6, Harriet Dempsey-Jones7, Amir Fazlollahi8, Jurgen Fripp5, Natalie Garden9, Christine C Guo10, Robert D Henderson3,11, Elaine Kuan1, Jinglei Lv12,13, Pamela A McCombe3,11, Aswin Narayanan2, Shyuan T Ngo3,14, Vinh Nguyen9, Kieran O’Brien15, Gail Robinson7,8, Simon Robinson16,17, Olivier Salvado18, Ashley Stewart1, Frederik J Steyn3,6, Saskia Bollmann1
ORCID iDs: Thomas B Shaw, Markus Barth, Pierrick Bourgeat, Harriet Dempsey-Jones, Aswin Narayanan, Olivier Salvado
18 affiliations
  1. School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, Australia
  2. Centre for Advanced Imaging, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, Australia
  3. Royal Brisbane and Women’s Hospital, Neurology Dept., Brisbane, Australia
  4. Queensland Digital Health Centre, The University of Queensland, Brisbane, Australia
  5. Australian e-Health Research Centre, CSIRO Health and Biosecurity, Herston, Queensland Australia
  6. School of Biomedical Sciences, The University of Queensland, Brisbane, Australia
  7. School of Psychology, The University of Queensland, Brisbane, Australia
  8. Queensland Brain Institute, The University of Queensland, Brisbane, Australia
  9. QIMR Berghofer Medical Research Institute, Brisbane, Australia
  10. Ametris, Pensacola, FL USA
  11. Centre for Clinical Research, The University of Queensland, Brisbane, Australia
  12. Sydney Medical School, School of Biomedical Engineering, The University of Sydney, Sydney, Australia
  13. Brain and Mind Centre, The University of Sydney, Sydney, Australia
  14. Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, Australia
  15. Siemens Healthcare Pty Ltd, Brisbane, Australia
  16. High Field MR Center, Department for Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
  17. Christian Doppler Laboratory for MR Imaging Biomarkers, Department for Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
  18. Queensland University of Technology, Brisbane, Australia
Institutions: The University of Queensland (Australia); Royal Brisbane and Women's Hospital (Australia); Commonwealth Scientific and Industrial Research Organisation (Australia); Australian e-Health Research Centre (Australia); CSIRO Health and Biosecurity (Australia); QIMR Berghofer Medical Research Institute (Australia); The University of Sydney (Australia); Medical University of Vienna (Austria); Queensland University of Technology (Australia)
Journal: Scientific data, volume 13, issue 1, article 1152
Dates: received 27 October 2025; accepted 13 May 2026; published online 19 May 2026
Type: Data paper · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1038/s41597-026-07461-3 · PMID 42156779 · PMCID PMC13454292 · OpenAlex W7161637474
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: structural MRI / diffusion (modality), human (organism), other condition (population), Alzheimer's / dementia (population), methods / tools (subfield)
Methods: Smoothing, state filtering, decompositions
MeSH: Amyotrophic Lateral Sclerosis*, Frontotemporal Dementia*, Magnetic Resonance Imaging*, Cognition, Humans (* major topic)
Topic: Amyotrophic Lateral Sclerosis Research (Neurology, Medicine), according to OpenAlex
Funding: Austrian Federal Ministry for Digital and Economic Affairs, the National Foundation for Research, Technology, and Development; National Health and Medical Research Council, Australia (APP 1088419, DP250103627); National Health and Medical Research Council (APP2029871, Boosting Dementia Research Leadership Fellowship (APP1135769)); FightMND (ECR-202503-01848, Mid-Career Research Fellowship); Brain and Mind Centre, University of Sydney (Research Development Grant); University of Queensland Graduate School (RTP); Australian Research Council, Australia (Linkage Grant LP200301393); Marie Sklodowska-Curie Actions, European Union (794298); Australian Research Council (DP240102161, DP250103627, FT140100865, IC170100035, DP200103386); University of Sydney (Fudan Brain and Intelligence Science Alliance Flagship Research Program, Moyira Elizabeth Vine Fund for Research into Schizophrenia Program); Motor Neurone Disease Research Australia (TU2201, PDF2112); Commonwealth Scientific and Industrial Research Organisation; The Christian Doppler Research Association; Austrian Science Fund FWF (10.55776/PAT3786024)
Citations: cited by 1 paper (Europe PMC); 78 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Code

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Code availability statement

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  • no repository, dataset or request procedure was recognized in it

Read it in the paper: doi.org/10.1038/s41597-026-07461-3.

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Data

Datasets cited

Data availability statement

The paper has a data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

Read it in the paper: doi.org/10.1038/s41597-026-07461-3.

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, 28 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 25 authors, 5 MeSH terms, 14 funders, 69 references.

Cite

This paper

Shaw, T. B., Al Najjar, A., Barth, M., Bollmann, S., Bourgeat, P., Chang, J., Dempsey-Jones, H., Fazlollahi, A., Fripp, J., Garden, N., Guo, C. C., Henderson, R. D., Kuan, E., Lv, J., McCombe, P. A., Narayanan, A., Ngo, S. T., Nguyen, V., O’Brien, K., . . . Bollmann, S. (2026). Multimodal ultra-high-field MRI, clinical, cognitive, and genetic profiles across the ALS-FTD spectrum. Scientific data, 13(1), 1152. https://doi.org/10.1038/s41597-026-07461-3

BibTeX

@article{shaw2026multimodal,
author = {Shaw, Thomas B and Al Najjar, Aiman and Barth, Markus and Bollmann, Steffen and Bourgeat, Pierrick and Chang, Jeryn and Dempsey-Jones, Harriet and Fazlollahi, Amir and Fripp, Jurgen and Garden, Natalie and Guo, Christine C and Henderson, Robert D and Kuan, Elaine and Lv, Jinglei and McCombe, Pamela A and Narayanan, Aswin and Ngo, Shyuan T and Nguyen, Vinh and O’Brien, Kieran and Robinson, Gail and Robinson, Simon and Salvado, Olivier and Stewart, Ashley and Steyn, Frederik J and Bollmann, Saskia},
title = {{Multimodal ultra-high-field MRI, clinical, cognitive, and genetic profiles across the ALS-FTD spectrum}},
journal = {Scientific data},
year = {2026},
month = may,
volume = {13},
number = {1},
pages = {1152},
publisher = {Nature Publishing Group},
issn = {2052-4463},
doi = {10.1038/s41597-026-07461-3},
url = {https://doi.org/10.1038/s41597-026-07461-3},
pmid = {42156779},
pmcid = {PMC13454292}
}

RIS

TY - JOUR
AU - Shaw, Thomas B
AU - Al Najjar, Aiman
AU - Barth, Markus
AU - Bollmann, Steffen
AU - Bourgeat, Pierrick
AU - Chang, Jeryn
AU - Dempsey-Jones, Harriet
AU - Fazlollahi, Amir
AU - Fripp, Jurgen
AU - Garden, Natalie
AU - Guo, Christine C
AU - Henderson, Robert D
AU - Kuan, Elaine
AU - Lv, Jinglei
AU - McCombe, Pamela A
AU - Narayanan, Aswin
AU - Ngo, Shyuan T
AU - Nguyen, Vinh
AU - O’Brien, Kieran
AU - Robinson, Gail
AU - Robinson, Simon
AU - Salvado, Olivier
AU - Stewart, Ashley
AU - Steyn, Frederik J
AU - Bollmann, Saskia
TI - Multimodal ultra-high-field MRI, clinical, cognitive, and genetic profiles across the ALS-FTD spectrum
T2 - Scientific data
J2 - Sci Data
PY - 2026
DA - 2026/05/19
VL - 13
IS - 1
SP - 1152
SN - 2052-4463
PB - Nature Publishing Group
DO - 10.1038/s41597-026-07461-3
UR - https://doi.org/10.1038/s41597-026-07461-3
LA - en
ER -

CSL-JSON

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