Whyatt Caroline P, Torres Elizabeth B
Psychology, Rutgers University - The State University of New Jersey-Busch Campus, Piscataway, NJ, United States.
Front Psychol. 2018 Aug 23;9:1526. doi: 10.3389/fpsyg.2018.01526. eCollection 2018.
The nosology and epidemiology of Autism has undergone transformation following consolidation of once disparate disorders under the umbrella diagnostic, autism spectrum disorders. Despite this re-conceptualization, research initiatives, including the NIMH's Research Domain Criteria and Precision Medicine, highlight the need to bridge psychiatric and psychological classification methodologies with biomedical techniques. Combining traditional bibliometric co-word techniques, with tenets of graph theory and network analysis, this article provides an objective thematic review of research between 1994 and 2015 to consider evolution and focus. Results illustrate growth in Autism research since 2006, with nascent focus on physiology. However, modularity and citation analytics demonstrate dominance of subjective psychological or psychiatric constructs, which may impede progress in the identification and stratification of biomarkers as endorsed by new research initiatives.
随着曾经分散的疾病在“自闭症谱系障碍”这一综合诊断范畴下得到整合,自闭症的疾病分类学和流行病学已经发生了转变。尽管有了这种重新概念化,但包括美国国立精神卫生研究所的研究领域标准和精准医学在内的研究倡议强调,需要将精神科和心理分类方法与生物医学技术相结合。本文结合传统的文献计量共词技术、图论原理和网络分析,对1994年至2015年间的研究进行了客观的主题综述,以考量其发展演变和研究重点。结果表明,自2006年以来自闭症研究不断增长,且开始关注生理学。然而,模块化和引文分析表明,主观的心理或精神科概念占据主导地位,这可能会阻碍新研究倡议所认可的生物标志物识别和分层方面的进展。