brain
When you shop a new NIRS device, you want to compare all the different options in the market. One of the questions you may ask is: has anybody else been using the same device and how many? To this end, we compiled the number of publications citing so
When I was a graduate student at Baylor College of Medicine, I found myself often in an embarrassing situation — I felt completely lost when my fellow graduate students heatedly discussed a paper in our field but I never heard of this publicati
我在Baylor College of Medicine读研究生的时候经常遇到一种尴尬局面，就是同学们在热烈讨论本领域某篇文献的时候，我一脸茫然 — 因为我压根就不知道这篇文章。回头Pub
When I was a graduate student in Baylor College of Medicine I participated in an “exercise and brain” study in our lab as a subject, and got my brain scanned every week for about 10 weeks. I thought it was crazy; but apparently it’s
I have a friend who has been using fMRI for more than 10 years and now a professor. He heard NIRS might be a good technology to measure human brain but knew little about it. So what is the difference between NIRS and fMRI? This is probably a common q
In concurrent NIRS-MRI experiments, you often need to know exactly where the NIRS probes are in the MRI iamges. In this case, a fiducial marker becomes important. In our 2011 publication titled “A quantitative comparison of NIRS and fMRI across
NIRS hyperscanning data analysis (1) NIRS hyperscanning data analysis (2) NIRS hyperscanning data analysis (3) NIRS hyperscanning data analysis (4) How do we analyze hyperscanning data to find out the relationship between two brains? Obviously correl
Back in 2009 we published a paper titled “Functional near infrared spectroscopy (NIRS) signal improvement based on negative correlation between oxygenated and deoxygenated hemoglobin dynamics“. In a nutshell, we found the oxy- and deoxy-H
Assume you are doing a correlation study between two brain areas, A and B. For each subject, you get a single value, the correlation between A and B. And you have 100 subjects. How do you know if the mean of the correlation is significantly different
