OSCR

NeuroMorph: A Unified Morphological Reference Space for Cross-Disease Brain Profiling

Overview

  1. School of Psychology & Neuroscience, University of Glasgow, Glasgow,UK
  2. Department of Information Engineering, University of Brescia, Italy
  3. School of Health & Wellbeing, University of Glasgow, Glasgow, UK
  4. School of Cardiovascular & Metabolic Health, University of Glasgow, UK
Institutions: University of Glasgow (United Kingdom); University of Brescia (Italy)
Dates: published online 14 August 2026
Type: Preprint
License: CC BY-NC-ND
Identifiers: DOI 10.64898/2026.08.13.26359403 · OpenAlex W7203478345
Open access: green, a free copy (OpenAlex)
Status: dead link
Categories: structural MRI / diffusion (modality), human (organism), clinical / translational (subfield)
Methods: Connectivity, Statistics, Smoothing, state filtering, decompositions, Machine learning, Preprocessing
Keywords: Deep learning, structural MRI, morphology, lifespan trajectories, disease classification
Topic: Functional Brain Connectivity Studies (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Funding: Biotechnology and Biological Sciences Research Council (BB/S006605/1)
Citations: cited by 1 paper (Europe PMC); 54 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

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

rockNroll87q/NeuroMorph

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: the text
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

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.

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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;
  • 0 scripts, each with its path and the digest of its content;
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Data

Datasets cited

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 2, 28 September 2026

  • Authors: added Sergio Benini (0000-0003-2152-9424); Michele Svanera (0000-0002-7828-9209); removed Sergio Benini; Michele Svanera

Version 1, 27 September 2026: the first record

Recorded: type, journal, dates, 10 authors, 5 keywords, 1 funder, 48 references.

Cite

This paper

Dalby, C., Dibble, A., Benini, S., Ferrari, D., Lyall, D. M., Harvey, M., Quinn, T., Muckli, L., Fracasso, A., & Svanera, M. (2026). NeuroMorph: A Unified Morphological Reference Space for Cross-Disease Brain Profiling. medRxiv (preprint). https://doi.org/10.64898/2026.08.13.26359403

BibTeX

@article{dalby2026neuromorph,
author = {Dalby, Connor and Dibble, Austin and Benini, Sergio and Ferrari, Damiano and Lyall, Donald M. and Harvey, Monika and Quinn, Terry and Muckli, Lars and Fracasso, Alessio and Svanera, Michele},
title = {{NeuroMorph: A Unified Morphological Reference Space for Cross-Disease Brain Profiling}},
journal = {medRxiv (preprint)},
year = {2026},
month = aug,
publisher = {medRxiv},
doi = {10.64898/2026.08.13.26359403},
url = {https://doi.org/10.64898/2026.08.13.26359403}
}

RIS

TY - JOUR
AU - Dalby, Connor
AU - Dibble, Austin
AU - Benini, Sergio
AU - Ferrari, Damiano
AU - Lyall, Donald M.
AU - Harvey, Monika
AU - Quinn, Terry
AU - Muckli, Lars
AU - Fracasso, Alessio
AU - Svanera, Michele
TI - NeuroMorph: A Unified Morphological Reference Space for Cross-Disease Brain Profiling
T2 - medRxiv (preprint)
J2 - medRxiv
PY - 2026
DA - 2026/08/14
PB - medRxiv
DO - 10.64898/2026.08.13.26359403
UR - https://doi.org/10.64898/2026.08.13.26359403
ER -

CSL-JSON

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The tracing map gets a citation of its own once an author has validated it and it has a DOI.

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