brain
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
NIRS hyperscanning data analysis (1)NIRS hyperscanning data analysis (2)NIRS hyperscanning data analysis (3)NIRS hyperscanning data analysis (4) Data quality check 1. Behavior data To identify behavior abnormalities, we need to plot the behavior data
NIRS hyperscanning data analysis (1) NIRS hyperscanning data analysis (2) NIRS hyperscanning data analysis (3) NIRS hyperscanning data analysis (4) Data collection We used Hitachi’s ETG 4000 to collect data. This device normally collects data f
NIRS hyperscanning data analysis (1) NIRS hyperscanning data analysis (2) NIRS hyperscanning data analysis (3) NIRS hyperscanning data analysis (4) In this series I will introduce how we analyzed NIRS hyperscanning data. NIRS hyperscanning is a techn
If you have digitizer data, then NFRI tool can be very useful to visualize these data on a brain. If you can’t access youtube, see below:
Honda has developed new brain-machine interface (BMI) technology that allows humans to control the Asimo humanoid robot simply by thinking certain thoughts. The technology is based on combined EEG and NIRS. The system reportedly has an accuracy rate
