Differentiate frequency bands in resting state EEG

Hello everyone,

I have a dataset for resting state EEG grouped into different diagnoses normal, mild cognitive impairment, and dementia for eyes-open and -closed, already preprocessed and artifacts removed. I would compare each group's frequency bands (delta, theta, alpha, and gamma), like normal vs. MCI, normal vs. dementia, and MCI vs. dementia, in eyes open and closed. I am asking how I could execute this problem using Brainstorm.

Thank You,


If you are new to Brainstorm, start by following all the introduction tutorial until #26 included, then follow the EEG&Epilepsy tutorial, and finally the resting state tutorial:

These tutorials will teach you everything you need to compute the EEG signal power and compare it across patient groups or conditions. If you have further specific questions, please post them on this forum.

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Thank you for taking the time to respond. I will take time and see the tutorials.