The high frequency networks are hard to be observed with standard fMRI data. Those networks were submerged in the non-BOLD signal and could not be observed with standard fMRI methods. In this work, Multiband Multi-echo (MBME) sequence is used to sample brain fluctuations in high frequency (TR=0.75).By using acquired 8 echoes, T2* and I0 (initial intensity) values are calculated and fluctuations in the brain were separated into BOLD and non-BOLD. Results showed that there is an improved detection in several high frequency networks like LECN, dDMN, Language and high Visual networks by using the separated BOLD signal.
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