Previous studies suggested that the initial decrease in the BOLD signal reflects primary neuronal activity more than the later hemodynamic positive peak responses. We applied the hyper-alignment algorithm to 7T-BOLD timeseries during the facial expression discrimination task. and conducted the MVPA using the aligned data. We found decoding accuracies in the amygdala and superior temporal sulcus at 2 s after the face onset were significantly beyond baseline and the voxels contributing to the decoding accuracy displayed decreasing pattern in hemodynamics response, revealing that the initial decrease in 7T-BOLD signals contains finer information than thought previously.
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