Provided are prefrontal-based brain-machine interfacing apparatus and a method thereof. The apparatus includes a brainwave measurement device configured to measure a prefrontal brainwave signal of a subject, and a processor configured to execute a cognitive brain-machine interface program stored in a memory, the processor pinpoints a brain cortical region generating the corresponding prefrontal brainwave signal among previously assigned multiple subdivisions of a prefrontal area, measures the sensor-level brain activity, extracts a prefrontal cortical-level activity pattern by computing source localization and calculating causal connectivity among two or more previously assigned brain regions on the basis of the degree of corresponding sensor-level brain activities, inputs the prefrontal activity pattern into a classifier which is previously generated by machine learning of multiple prefrontal activity patterns of the subject to identify one of the preset control conditions, and generates and outputs a preset machine regulating signal on the basis of a result of identification.
