Time-invariant person-specific frequency templates in human brain activity

The various human brain tasks are performed at different locations and time scales. Yet, we discovered the existence of time-invariant (above an essential time scale) partitioning of the brain activity into personal state-specific frequency bands. For that, we perform temporal and ensemble averaging of best wavelet packet bases from multi-electrode EEG recordings. These personal frequency-bands provide new templates for quantitative analyses of brain function, e.g., normal vs. epileptic activity.