Evidence map›Paper›PMID 40483269›Full record

ArticleScientific data2025

A Multimodal Dataset Addressing Motor Function in Autism.

João Ruivo Paulo, Teresa Sousa, João Perdiz, Lara Pereira, Mariette Vasen, Susana Mouga, Gabriel Pires, Miguel Castelo-Branco

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

João Ruivo PauloInstitute of Systems and Robotics, University of Coimbra, Coimbra, Portugal. jpaulo@isr.uc.pt.ORCID 0000-0003-2924-1687
Teresa SousaCoimbra Institute for Biomedical Imaging and Translational Research (CIBIT), Institute of Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal.
João PerdizInstitute of Systems and Robotics, University of Coimbra, Coimbra, Portugal.
Lara PereiraPhysics Department, NOVA School of Science and Technology, NOVA University of Lisbon, Lisbon, Portugal.
Mariette VasenFaculty of Mathematics and Computer Science, Friedrich-Schiller-University Jena, Jena, Germany.
Susana MougaCoimbra Institute for Biomedical Imaging and Translational Research (CIBIT), Institute of Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal.
Gabriel PiresInstitute of Systems and Robotics, University of Coimbra, Coimbra, Portugal.
Miguel Castelo-BrancoCoimbra Institute for Biomedical Imaging and Translational Research (CIBIT), Institute of Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal.ORCID 0000-0003-4364-6373

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autism has primarily been characterized at a social-cognitive level, with evidence suggesting impairments in action-perception and motor function. However, there is a lack of publicly available datasets that specifically address the neural and behavioral mechanisms linking these functions in autism. The Move4AS dataset aims to fill this gap, having been designed to facilitate the study of the underlying mechanisms of motor function in the autism spectrum. It combines multiple data modalities, including electroencephalography (EEG) and 3D motion data, collected during motor imitation tasks - dancing and walking - designed to recruit motor function in emotional and social contexts. It comprises a control group of 20 participants and a clinical group of 14 participants. EEG was recorded through a 16-channel wireless EEG cap, and 3D motion was captured using marker-based motion capture suits tracked by a 10-camera setup. Additionally, the dataset includes neuropsychological characterization of the participants (IQ and autism score).

Indexed as

Autistic DisorderMotor ActivityAdultElectroencephalographyFemaleHumansMaleWalking

Identifiers

PMID40483269
PMCPMC12145417

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.