title: Time-invariant person-specific frequency templates in human brain activity.
abstract: 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 multielectrode electroencephalogram recordings. These personal frequency bands provide new templates for quantitative analyses of brain function, e.g., normal versus epileptic activity.
authors.affiliation: School of Physics and Astronomy, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel-Aviv University, Tel-Aviv 69978, Israel.
authors.forename: Itai
authors.initials: I
authors.lastname: Doron
authors.forename: Eyal
authors.initials: E
authors.lastname: Hulata
authors.forename: Itay
authors.initials: I
authors.lastname: Baruchi
authors.forename: Vernon L
authors.initials: VL
authors.lastname: Towle
authors.forename: Eshel
authors.initials: E
authors.lastname: Ben-Jacob
mesh_terms: D000465:Algorithms; D001921:Brain / Q000502:physiology*; D002540:Cerebral Cortex / Q000502:physiology; D004566:Electrodes; D004569:Electroencephalography / Q000379:methods*; D006801:Humans; D008959:Models, Neurological; D013355:Subdural Space / Q000502:physiology