The study investigates the correspondence between functional networks activated during tasks and those observed in the resting brain. Using independent component analysis (ICA), the researchers analyzed activation maps from the BrainMap database and resting fMRI data from 36 subjects. They found that the major functional networks identified in task-based activation studies closely matched those observed in the resting brain, suggesting that the brain's functional dynamics are continuously active even when at rest. The analysis revealed 10 primary functional networks, including visual, default mode, cerebellar, sensorimotor, auditory, executive control, and frontoparietal networks, which were well-correlated between the resting and activation datasets. The findings indicate that the brain's functional networks are fully utilized during both active and resting states, providing insights into the brain's continuous interactions and potential clinical applications.The study investigates the correspondence between functional networks activated during tasks and those observed in the resting brain. Using independent component analysis (ICA), the researchers analyzed activation maps from the BrainMap database and resting fMRI data from 36 subjects. They found that the major functional networks identified in task-based activation studies closely matched those observed in the resting brain, suggesting that the brain's functional dynamics are continuously active even when at rest. The analysis revealed 10 primary functional networks, including visual, default mode, cerebellar, sensorimotor, auditory, executive control, and frontoparietal networks, which were well-correlated between the resting and activation datasets. The findings indicate that the brain's functional networks are fully utilized during both active and resting states, providing insights into the brain's continuous interactions and potential clinical applications.