fNIRS short channel correction

Hi,
I have become a huge fan of Brainstorm/Nirstorm in my analyses of fNIRS data, and I have learned the use of the software through the excellent workshops from 2018-2024.

But, does Brainstorm/Nirstorm have options for performing subtraction of extracerebral noise based on the use of short channel fNIRS data?

Thank you very much for your help.

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Hi @SteffenMF

Thank you for this feedback.

@edelaire any recommendation for this?

Hello,

Thanks a lot for your feedback on Nirstorm :slight_smile:

You can use the process called NIRS > pre-process > Remove superficial noise

it is using the average of the short-sepration channel to subtract the extracerebral noise from the nirs signals.

You can find the short channel using either their name (ie. S1D17, S2D17...) or using a source-detector distance threshold (ie < 1 cm).

The baseline is used to find how to perform the subtraction; the subtraction is then applied on the entire signal. You can use the entire signal if your recording is relatively short and has no major motion artifacts. Otherwise, we recommend using a clean portion of your data signal.

Let me know if you have any questions,
Edouard

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