Evidence map›Paper›PMID 40323705›Full record

ArticleAutism research : official journal of the International Society for Autism Research2025

Effective Autism Classification Through Grasping Kinematics.

Erez Freud, Zoha Ahmad, Eitan Shelef, Bat Sheva Hadad

Abstract read
In one paragraph

Article in Autism research : official journal of the International Society for Autism Research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Motor Disorders in Autism: From Comorbidity to Core Criterion.Autism research : official journal of the International Society for Autism Research · 2026
    Review
  3. Article
  4. Reduced Hand Specialization and Idiosyncratic Visuomotor Strategies in Autism During Naturalistic Object Manipulation.Autism research : official journal of the International Society for Autism Research · 2026
    Article
  5. Reduced Dissociation Between Perception and Action in Autistic Individuals.Journal of autism and developmental disorders · 2026
    Article
  6. Article
  7. 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

4 authors.

Erez FreudDepartment of Psychology, York University, Toronto, Canada.ORCID 0000-0003-3758-3855
Zoha AhmadCentre for Vision Research, York University, Toronto, Canada.
Eitan ShelefDepartment of Geology and Environmental Science, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Bat Sheva HadadDepartment of Special Education and the Edmond J. Safra Brain Research Center for Learning Disabilities, Faculty of Education, University of Haifa, Haifa, Israel.

Funding

Canada First Research Excellence Fund - VISTA : Science to application and Connected MindsIsrael Science Foundation 882/19-BSHNatural Sciences and Engineering Research Council of CanadaUnited States-Israel Binational Science Foundation 2342020-BSH
6 · The paper itself

Abstract

Autism is a complex neurodevelopmental condition, where motor abnormalities play a central role alongside social and communication difficulties. These motor symptoms often manifest in early childhood, making them critical targets for early diagnosis and intervention. This study aimed to assess whether kinematic features from a naturalistic grasping task could accurately distinguish autistic participants from non-autistic ones. We analyzed grasping movements of autistic and non-autistic young adults, tracking two markers placed on the thumb and index finger. Using a subject-wise cross-validated classifiers, we achieved accuracy scores of above 84%. Receiver operating characteristic analysis revealed strong classification performance with area under the curve values of above 0.95 at the subject-wise analysis and above 0.85 at the trial-wise analysis. These findings indicate strong reliability in accurately distinguishing autistic participants from non-autistic ones. These findings suggest that subtle motor control differences can be effectively captured, offering a promising approach for developing accessible and reliable diagnostic tools for autism.

Indexed as

Autistic DisorderHand StrengthPsychomotor PerformanceAdultBiomechanical PhenomenaFemaleHumansMaleReproducibility of ResultsYoung Adultautismgraspingmachine learningmotion trackingvisuomotor control

Identifiers

PMID40323705
PMCPMC12166512

What OpenQuestion holds

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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.