The activity of neural networks gives rise to simple motor behaviors as well as complex behaviors. To understand how the network activity is transformed into human behaviors, it is necessary to identify task-specific networks and analyze the dynamic network activity that changes with time. A functional area of unitary pooled activity (FAUPA) is defined as an area in which the temporal variation of the activity is the same across the entire area. Using the signal time course of a task-associated FAUPA may identify the functional network specific for the task. This study introduced a novel method to map task-specific networks.