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.
@article{arxiv.physics/0605182,
title = {Time-invariant person-specific frequency templates in human brain activity},
author = {Itai Doron and Eyal Hulata and Itay Baruchi and Vernon L. Towle and Eshel Ben-Jacob},
journal= {arXiv preprint arXiv:physics/0605182},
year = {2009}
}
Comments
4 pages, 4 figures (color), Phys. Rev. Lett. (in-press), minor English style changes