Yanchun, nirs2img is to convert your data (whatever it is) to an image file which can be opened by xjview. It’s does not convert to p-value. In xjview, you can view the image (beta, T, contrast etc). If it’s beta or contrast, then p-value in xjview is meaningless. ]]>

Hi,

Thank you sooo much for sharing this Visualization tool of fNIRS.

But I have a problem about the input parameter of nirs2img.

In the 5th step of “Read data and do GLM” process,”(if you want to view the result in a standard brain) Convert the values (T or beta or contrasts) to an image file by nirs2img(imgFileName, mni, value, doInterp, doXjview)”, I don’t know why can beta or contrasts can work and get the P value in xjview. Because NIRS_SPM just use the T to get the P value. Could you please help me understand why beta and contrasts can work?

Thank you so much!!

]]>Matti, I don’t have a script like this. If you do implement it and are willing to share it, please feel free to let me know. ]]>

thanks alot for sharing this code. I was wondering whether there is a “find nearest gray matter” tool available? (like in the talairach tool, e.g. perform a search within a 5mm radius).

I was thinking about implementing it, but since it seems to be some work involved I’d rather ask first if that code exists already :)

Best wishes

Matti

We do not have a paper referencing this button/function. ]]>

I wonder if you have a paper reference for your “cuixu Integral Hb”?

Thanks,

Guoqing

Do you have Ben’s contact information? ]]>

I have come across your good work

Also would like to be in touch with Ben Krasnow

Please advise how is possible to get his advise on a problem I am challenging with use of water jet priniciples ]]>

model = fully_conn(model,384)

#model = fully_conn(model,200)

#model = fully_conn(model,20)