Evidence map›Paper›PMID 40113810›Full record

ArticleScientific data2025

An fMRI dataset for appetite neural correlates in people living with Motor Neuron Disease.

Jeryn Chang, JingLei Lv, Christine C Guo, Diana Lucia, Saskia Bollmann, Kelly Garner, Pamela A McCombe, Robert D Henderson, Thomas B Shaw, Frederik J Steyn and 1 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Jeryn ChangSchool of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, Australia.ORCID http://orcid.org/0000-0002-6659-365X
JingLei LvSchool of Biomedical Engineering, Faculty of Engineering, The University of Sydney, Sydney, Australia.
Christine C GuoActiGraph, LLC, Pensacola, FL, USA.
Diana LuciaAustralian Institute of Bioengineering and Nanotechnology, The University of Queensland, Brisbane, Australia.
Saskia BollmannSchool of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, Australia.
Kelly GarnerSchool of Psychology, University of New South Wales, Sydney, NSW, Australia.
Pamela A McCombeDepartment of Neurology, Royal Brisbane and Women's Hospital, Brisbane, Australia.ORCID http://orcid.org/0000-0003-2704-8517
Robert D HendersonDepartment of Neurology, Royal Brisbane and Women's Hospital, Brisbane, Australia.
Thomas B Shaw *School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, Australia. t.shaw@uq.edu.au.ORCID http://orcid.org/0000-0003-2490-0532
Frederik J Steyn *School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, Australia. f.steyn@uq.edu.au.ORCID http://orcid.org/0000-0002-4782-3608
Shyuan T Ngo *Australian Institute of Bioengineering and Nanotechnology, The University of Queensland, Brisbane, Australia. s.ngo@uq.edu.au.ORCID http://orcid.org/0000-0002-1388-2108

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The dataset investigates the neural correlates of appetite in people living with motor neuron disease (plwMND) compared to non-neurodegenerative disease controls. Thirty-six plwMND and twenty-three controls underwent two fMRI sessions: one in a fasted state and one postprandial. Participants viewed visual stimuli of non-food items, low-calorie foods, and high-calorie foods in a randomised block design. Imaging data included T1w, T2w, and task-based and resting-state fMRI scans, and measures are complemented by subjective appetite questionnaires and anthropometric measures. This dataset is unique for its inclusion of functional imaging across prandial states, offering insights into the neural mechanisms of appetite regulation in patients with MND. Researchers can explore various aspects of the data, including the functional responses to food stimuli and their associations with clinical and appetite measures. The data, deposited in OpenNeuro, follows the Brain Imaging Data Structure (BIDS) standard, ensuring compatibility and reproducibility for future research. This comprehensive dataset provides a resource for studying the central mechanisms of appetite regulation in MND.

Indexed as

AppetiteBrainMagnetic Resonance ImagingMotor Neuron DiseaseAgedFemaleHumansMaleMiddle Aged

Identifiers

PMID40113810
PMCPMC11926184

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.