Duan Li, Zhu Gang
Department of Psychiatry, the First Affiliated Hospital of China Medical University, Shenyang, China.
Central Laboratory, the First Affiliated Hospital of China Medical University, Shenyang, China.
Front Psychiatry. 2020 Feb 7;11:27. doi: 10.3389/fpsyt.2020.00027. eCollection 2020.
Recently, magnetic resonance imaging (MRI) technology has been widely used to quantitatively analyze brain structure, morphology, and functional activities, as well as to clarify the neuropathological and neurobiological mechanisms of schizophrenia. However, although there have been many relevant results and conclusions, there has been no systematic assessment of this field.
To analyze important areas of research utilizing MRI in studies of schizophrenia and explore major trends and the knowledge structure using bibliometric analysis.
Literature related to MRI studies of schizophrenia published in PubMed between January 1, 2004 and December 31, 2018 were retrieved in 5-year increments. The extracted major Medical Subject Headings (MeSH) terms/MeSH subheadings were analyzed quantitatively. Bi-clu-stering analysis, social network analysis (SNA), and strategic diagrams were employed to analyze the word matrix and co-occurrence matrix of high-frequency MeSH terms.
For the periods of 2004 to 2008, 2009 to 2013, and 2014 to 2018, the number of relevant retrieved publications were 916, 1,344, and 1,512 respectively, showing an overall growth trend. 26, 34, and 36 high-frequency major MeSH terms/MeSH subheadings were extracted in each period, respectively. In line with strategic diagrams, the main undeveloped theme clusters in 2004-2008 were effects of antipsychotics on brain structure and their curative efficacy. These themes were replaced in 2009-2013 by physiopathology mechanisms of schizophrenia, etiology of cognitive disorder, research on default mode network and schizophrenic psychology, and were partially replaced in 2014-2018 by studies of differences in the neurobiological basis for schizophrenia and other mental disorders. Based on SNA, nerve net/physiopathology and psychotic disorder/pathology were considered the emerging hotspots of research in 2009-2013 and 2014-2018.
MRI studies on schizophrenia were relatively diverse, but the theme clusters derived from each period may reflect the publication trends to some extent. Bibliometric research over a 15-year period may be helpful in depicting the overall scope of research interest and may generate novel ideas for researchers initiating new projects.
近年来，磁共振成像（MRI）技术已被广泛用于定量分析脑结构、形态和功能活动，以及阐明精神分裂症的神经病理学和神经生物学机制。然而，尽管已有许多相关结果和结论，但该领域尚未进行系统评估。
分析利用MRI研究精神分裂症的重要研究领域，并运用文献计量分析探索主要趋势和知识结构。
检索2004年1月1日至2018年12月31日期间发表在PubMed上的与精神分裂症MRI研究相关的文献，以5年为增量进行检索。对提取的主要医学主题词（MeSH）/MeSH副主题词进行定量分析。采用双聚类分析、社会网络分析（SNA）和战略图分析高频MeSH词的词矩阵和共现矩阵。
2004年至2008年、2009年至2013年、2014年至2018年期间，检索到的相关出版物数量分别为916篇、1344篇和1512篇，呈总体增长趋势。各时期分别提取了26个、34个和36个高频主要MeSH词/MeSH副主题词。根据战略图，2004 - 2008年主要未开发的主题簇是抗精神病药物对脑结构的影响及其疗效。这些主题在2009年至2013年被精神分裂症的生理病理机制、认知障碍的病因、默认模式网络和精神分裂症心理学研究所取代，并在2014年至2018年部分被精神分裂症与其他精神障碍神经生物学基础差异的研究所取代。基于SNA，神经网络/生理病理学和精神障碍/病理学被认为是2009年至2013年和2014年至2018年研究的新兴热点。
关于精神分裂症的MRI研究相对多样，但各时期得出的主题簇可能在一定程度上反映了出版趋势。15年期间的文献计量研究可能有助于描绘研究兴趣的总体范围，并可能为启动新项目的研究人员产生新的想法。
