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Note (1) 1S: 1-step simple; 1C: 1-step complex; 2S: 2-step simple; 2C: 2-step complex.
(2) 0: onset scan; -1,-2: the first scan and second scan before the stimulus scan onset.
Fig. 7.
Different BOLD pattern in predefined regions
To conclude, it is possible that using BOLD signal time courses of selected
ROIs, including PPC, PFC, ACC, FG, and caudate, to predict the mental states
of high-level cognitive processes from fMRI data. To our best knowledge this
study is the first one reported in using machine learning methods to decode
cognition during problem solving. Until now, this is only a preliminary study,
many problems still have to be addressed in future work, such as how to use this
kind of method to clarify the roles of brain regions in problem solving, how to
understand and explain the performances of classification in depth.
