Ahmad Asma Hayati, Zabri Siti Hajar, Roslan Siti Mariam, Ayob Nur Ayunie, Abd Hamid Aini Ismafairus, Mohd Taib Nur Hartini, Mohamad Nasibah, Othman Zahiruddin, Tamam Sofina, Marzuki Aleya Aziz, Zakaria Rahimah
Department of Physiology, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.
Brain & Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.
Malays J Med Sci. 2024 Aug;31(4):111-125. doi: 10.21315/mjms2024.31.4.9. Epub 2024 Aug 27.
The human reward system has been extensively studied using neuroimaging. This bibliometric analysis aimed to determine the global trend in diffusion magnetic resonance imaging (dMRI) and human reward research in terms of the number of documents, the most active countries and their collaborating countries, the top journals and institutions, the most prominent authors and most cited articles, and research hotspots.
The research datasets were acquired from the Scopus database. The search terms used were 'reward' AND 'human' AND 'diffusion imaging' OR 'diffusion tensor imaging' OR 'diffusion MRI' OR 'diffusion-weighted imaging' OR 'tractography' in the abstract, article title and keywords. A total of 336 publications were analysed using Harzing's Publish or Perish and VOSviewer software.
The results revealed an upward trend in the number of publications with the highest number of articles in 2020 and 2022. Most publications were limited to countries, authors, and institutions in the USA, China and Europe. Bracht, Coenen, Wiest, Federspiel and Feng were among the top authors from Switzerland, Germany and the UK. , , and the were the top journals. Among the top articles, six were reviews and four were original articles, while the top keywords in human reward research were 'diffusion MRI', 'adolescence', 'depression' and 'reward-related brain areas'.
These findings may serve as researchers' references to find collaborative authors, relevant journals, cooperative countries/institutions, and hot topics related to dMRI and reward research.
人类奖赏系统已通过神经影像学得到广泛研究。本文献计量分析旨在从文献数量、最活跃的国家及其合作国家、顶级期刊和机构、最杰出的作者和被引次数最多的文章以及研究热点等方面,确定扩散磁共振成像(dMRI)与人类奖赏研究的全球趋势。
研究数据集来自Scopus数据库。在摘要、文章标题和关键词中使用的检索词为“奖赏”“人类”以及“扩散成像”或“扩散张量成像”或“扩散磁共振成像”或“扩散加权成像”或“纤维束成像”。使用哈津的《发表或灭亡》和VOSviewer软件对总共336篇出版物进行了分析。
结果显示出版物数量呈上升趋势,2020年和2022年的文章数量最多。大多数出版物局限于美国、中国和欧洲的国家、作者和机构。布拉赫特、科嫩、维斯特、费德斯皮尔和冯是来自瑞士、德国和英国的顶级作者。 、 和 是顶级期刊。在顶级文章中,六篇是综述,四篇是原创文章,而人类奖赏研究中最热门的关键词是“扩散磁共振成像”“青少年”“抑郁症”和“奖赏相关脑区”。
这些发现可为研究人员寻找合作作者、相关期刊、合作国家/机构以及与dMRI和奖赏研究相关的热点话题提供参考。