Evidence map›Paper›PMID 38498091›Full record

ReviewNeuroscience bulletin2024

The Application of Extended Reality in Treating Children with Autism Spectrum Disorder.

Weijia Zhao, Song Xu, Yanan Zhang, Dandan Li, Chunyan Zhu, Kai Wang

Abstract readReview
In one paragraph

Review in Neuroscience bulletin, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Observational
  8. Review
  9. Article
  10. 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

6 authors.

Weijia Zhao *First Clinical Medical College, Anhui Medical University, Hefei, 230032, China.ORCID http://orcid.org/0009-0004-4098-5761
Song Xu *School of Biomedical Engineering, Anhui Medical University, Hefei, 230032, China.
Yanan ZhangSchool of Mental Health and Psychological Sciences, Anhui Medical University, China, Hefei, 230032, China.
Dandan LiResearch Center for Translational Medicine, The Second Hospital of Anhui Medical University, Hefei, 230000, China. lidandan050295@163.com.ORCID http://orcid.org/0000-0002-7713-853X
Chunyan ZhuSchool of Mental Health and Psychological Sciences, Anhui Medical University, China, Hefei, 230032, China.
Kai WangSchool of Mental Health and Psychological Sciences, Anhui Medical University, China, Hefei, 230032, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autism Spectrum Disorder (ASD) is a common neurodevelopmental disorder in children, characterized by social interaction, communication difficulties, and repetitive and stereotyped behaviors. Existing intervention methods have limitations, such as requiring long treatment periods and needing to be more convenient to implement. Extended Reality (XR) technology offers a virtual environment to enhance children's social, communication, and self-regulation skills. This paper compares XR theoretical models, application examples, and intervention effects. The study reveals that XR intervention therapy is mainly based on cognitive rehabilitation, teaching, and social-emotional learning theories. It utilizes algorithms, models, artificial intelligence (AI), eye-tracking, and other technologies for interaction, achieving diverse intervention outcomes. Participants showed effective improvement in competency barriers using XR-based multimodal interactive platforms. However, Mixed Reality (MR) technology still requires further development. Future research should explore multimsodal interaction technologies combining XR and AI, optimize models, prioritize the development of MR intervention scenarios, and sustain an optimal intervention level.

Indexed as

Autism Spectrum DisorderArtificial IntelligenceChildHumansVirtual RealityAutism spectrum disordeExtended realityIntervention modelMultimodal interaction technologiesTreatment effectiveness evaluation

Identifiers

PMID38498091
PMCPMC11306495

What OpenQuestion holds

Textmetadata
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.