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Seeing beyond words: Visualizing autism spectrum disorder biomarker insights
Xinyue Xie1,2, Rongyi Zhou1,2, Zihan Fang2
1The First Affiliated Hospital of Henan University of Chinese Medicine, Pediatrics Hospital, Zhengzhou, Henan, 450000, China.
Heliyon
|May 2, 2024
Summary
Bibliometric analysis reveals global trends in Autism Spectrum Disorder (ASD) biomarkers, highlighting genetics, imaging, and emerging areas like eye tracking. Future research should integrate diverse biomarkers for precise ASD diagnosis and treatment.
Area of Science:
- Biomedical Research
- Neuroscience
- Genetics
Background:
- Autism Spectrum Disorder (ASD) research has seen significant growth.
- Identifying reliable biomarkers is crucial for precise ASD assessment and diagnosis.
Purpose of the Study:
- To elucidate global research trends in Autism Spectrum Disorder (ASD) biomarkers.
- To identify critical research focal points and emerging areas.
- To discuss the integration of diverse biomarker modalities for precise ASD assessment.
Main Methods:
- Bibliometric analysis of publications from the Web of Science Core Collection until December 31, 2022.
- Utilized visualization tools (R, VOSviewer, CiteSpace, gCLUTO) for network and co-citation analysis.
- Examined collaborative networks, keyword associations, and publication trends.
Main Results:
- ASD biomarker research began in 2004, with 4348 documents by end of 2022.
- The United States is the most prolific country; University of California, Davis is the leading institution.
- Key research areas include genetics, imaging, oxidative stress, neuroinflammation, gut microbiota, and eye tracking. Emerging topics include DNA methylation, metabolomics, and resting-state fMRI.
Conclusions:
- The field of ASD biomarker research is dynamic and evolving.
- Future research should focus on individual stratification, methodological standardization, and integrating biomarker modalities.
- Longitudinal studies are essential for advancing ASD diagnosis and treatment precision.
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