Hemodynamic functional connectivity optimization of frequency EEG microstates enables attention LSTM framework to classify distinct temporal cortical communications of different cognitive tasks

RT @Brain_Products: This simultaneous #EEG-#fMRI study proposes an attention-based deep learning framework that processes temporal dynamics…

This simultaneous #EEG-#fMRI study proposes an attention-based deep learning framework that processes temporal dynamics of the 12 distinct, fMRI functional connectivity optimized, quasi-stable frequency #microstates to classify cognitive task engagement. h