fNIRS overview by Stork’s Big Analysis

1 min read

What’s the trend of fNIRS in brain research? Is the field growing or dying? Which country and which institute are the most productive? Who are the experts in the field and how can I contact them for collaboration? Which brain region(s) are mostly studied? Which disorder appears most frequently in the publications?

These are important questions to ask. However, even to a reseacher who works in the field (brain research with fNIRS), the answers may not readily available. Fortunately, Stork team’s new advanced feature “Big Analysis” makes it very easy to get the answers. As a matter a fact, it only required me to enter the keyword, and then it downloaded and analyzed about 6,500 publications and generated beautiful reports in less than 3 minutes.

Below is a screenshot of the report using keyword: (fnirs OR nirs  OR “near infrared”) brain

Stork's Big Analysis for fnirs Brain
Stork Big Analysis for fnirs Brain

Now we see, fNIRS research on the brain is growing steadily over the past 20 years, with recent growth ~10%. US, Japan, Germany and China are the top countries in this field. National Insitute of Radiological Sciences, UCL and Harvard are top institutes. The top diseases studied are Stroke, Brain Injury, Schizophrenia and Stress. NeuroImage, Adv Exp Med Biol, J Biomed Opt are top journals where the research is published. The mostly studied brain region is the frontal lobe. Some experts in the field are shown too, such as Hongjie Dai, David Boas, Allan Reiss, and Ilias Tachtsidis etc. Stork also shows the author network graph. It’s an interactive graph and it’s fun to drag things around to find out who are connected to who.

Most of the experts’ emails are available. That means when I want to contact them for collaboration, or invite them to review a paper, I don’t have to spend time in digging their emails.

The “Big Analysis” tool can be purchased through Stork website. The description can be found at here.

Receive email notification via email
Don't want to miss new papers in your field? Check out Stork we developed:

第十期 fNIRS Journal Club 通知 2020/7/25,10am

北京时间2020年7月25日周六上午10点,北京航空航天大学的汪待发副教授,博士生导师,将为大家讲解他们组去年发表的一篇脑机交互(BCI)的近红外文章。欢迎大家参加并参与讨论。 他要讲的文献如下:Y. Zheng,D. Zhang, L. Wang, Y. Wang, H. Deng, S. Zhang, D. Li, D. Wang, “Resting-State-Based Spatial Filtering for an fNIRS-Based Motor Imagery...
Xu Cui
1 min read


该文章可以通过该链接完整阅读(包括图片。这些图片有时微信禁止转载)。 我们印象当中,发文章需要做大量的实验和分析。实验对象可以是原子、病毒,可以是疾病、人群,也可以是恒星、宇宙。可是,如果分析的对象是文献本身,这样的研究有吗?能发文章吗? 小编虽然在科研领域20年,但是对这个问题还没有明确答案。于是这两天埋头钻研,结果脑洞大开,发现了一个原来从没听说过的领域:文献计量学,英文叫 Bibliometrics。借用百度百科的话,文献计量学是指用数学和统计学的方法,定量地分析一切知识载体的交叉科学。而这个领域竟然已存在100余年,不得不承认自己实在是孤陋寡闻。 于是,我们用“文献分析”的方法分析了“文献分析”类的文献(咦,怎么有点拗口?),看看有哪些意想不到的发现。我们用的关键词非常简单,就是 bibliometrics。数据来源是PubMed,分析工具是文献鸟的大分析。 01 — 上万篇论文用了“文献计量学” 首先,不仅有论文用了文献计量学的方法,而且有很多。在PubMed数据库里有一万余篇这类的论文。如果看趋势,我们发现在2005-2010增长速度较快,这几年稳定到每年750余篇。 02 — “文献计量学”论文可以发表在好期刊 那么,这上万篇的论文都发表在什么期刊?是灌水期刊吗?从上图的分布图来看,文献计量学的论文在各类期刊都有。在前25个期刊中,有Nature(254篇)、Science(74篇)、Lancet(41篇)、JAMA(32篇)这类顶尖文章(黄色标记),也有J Clin Epidemiol等这样的不错的期刊(绿色),当然也有影响力更低的期刊。 这么多Nature、Science等文章,自然引起了小编的怀疑和警惕。难道我通过分析文献就可以发表CNS文章?是不是太简单了?于是,小编点击进去,看看有哪些文章发表在这些顶级期刊。 果真不出所料,绝大部分在顶尖期刊的论文是评论、新闻、通信类型的。但是,通过仔细排查,我们还是找到了正规的、研究类的文章。下面举几个例子。 Lancet. 2019 Feb 9;393(10171):550-559. doi: 10.1016/S0140-6736(18)32995-7....
Xu Cui
14 sec read

fNIRS Journal Club 视频 浙江大学刘涛研究员

浙江大学刘涛研究员 浙江大学的刘涛研究员,博士生导师, 为大家讲解一篇商科领域的EEG文章: Samuel B. Barnett, and Moran Cerf (2017), “A ticket for your thoughts: Method for predicting content recall and sales using neural...
Xu Cui
10 sec read

Leave a Reply

Your email address will not be published. Required fields are marked *