Evidence map›Paper›PMID 36302797›Full record

ArticleScientific reports2022

Prediction of autistic tendencies at 18 months of age via markerless video analysis of spontaneous body movements in 4-month-old infants.

Hirokazu Doi, Naoya Iijima, Akira Furui, Zu Soh, Rikuya Yonei, Kazuyuki Shinohara, Mayuko Iriguchi, Koji Shimatani, Toshio Tsuji

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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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

9 authors.

Hirokazu Doi *Department of Science and Engineering, Kokushikan University, Setagaya, Japan.
Naoya Iijima *Graduate School of Engineering, Hiroshima University, Higashihiroshima, Japan.
Akira Furui *Graduate School of Advanced Science and Engineering, Hiroshima University, Higashihiroshima, Japan.
Zu SohGraduate School of Advanced Science and Engineering, Hiroshima University, Higashihiroshima, Japan.
Rikuya YoneiSchool of Engineering, Hiroshima University, Higashihiroshima, Japan.
Kazuyuki ShinoharaGraduate School of Biomedical Sciences, Nagasaki University, Nagasaki, Japan.
Mayuko IriguchiGraduate School of Biomedical Sciences, Nagasaki University, Nagasaki, Japan.
Koji ShimataniFaculty of Health and Welfare, Prefectural University of Hiroshima, Hiroshima, Japan.
Toshio TsujiGraduate School of Advanced Science and Engineering, Hiroshima University, Higashihiroshima, Japan. tsuji-c@bsys.hiroshima-u.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early intervention is now considered the core treatment strategy for autism spectrum disorders (ASD). Thus, it is of significant clinical importance to establish a screening tool for the early detection of ASD in infants. To achieve this goal, in a longitudinal design, we analyzed spontaneous bodily movements of 4-month-old infants from general population and assessed their ASD-like behaviors at 18 months of age. A total of 26 movement features were calculated from video-recorded bodily movements of infants at 4 months of age. Their risk of ASD was assessed at 18 months of age with the Modified Checklist for Autism in Toddlerhood, a widely used screening questionnaire. Infants at high risk for ASD at 18 months of age exhibited less rhythmic and weaker bodily movement patterns at 4 months of age than low-risk infants. When the observed bodily movement patterns were submitted to a machine learning-based analysis, linear and non-linear classifiers successfully predicted ASD-like behavior at 18 months of age based on the bodily movement patterns at 4 months of age, at the level acceptable for practical use. This study analyzed the relationship between spontaneous bodily movements at 4 months of age and the ASD risk at 18 months of age. Experimental results suggested the utility of the proposed method for the early screening of infants at risk for ASD. We revealed that the signs of ASD risk could be detected as early as 4 months after birth, by focusing on the infant's spontaneous bodily movements.

Indexed as

Autism Spectrum DisorderAutistic DisorderEarly DiagnosisHumansInfantMovementRisk

Identifiers

PMID36302797
PMCPMC9614013

What OpenQuestion holds

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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.