EEG Power-Spectral and Coherence Differences Between Attentional States during a Complex Auditory Task

Abstract

This electroencephalographic CEEG) study was designed to explore the diferences in power spectra and coherence associated with subjective levels of engrossment, or absorption, in an auditory task. Quantitative referential EEG activity was recorded using 19 electrodes while subjects (n = 17) listened to a story and indicated on a continuous basis] by means ofa hand held switch, whether they were engrossed or non-engrossed in the story content. Results from power spectra data indicated significant differences between subjective engrossed and non-engrossed states (particularly in the theta and beta1 bands) with increased mean power during engrossed states. Differences in coherence were not shown to be significantly different. The results suggest that engrossed and non-engrossed states have different EEG correlates for power measures during specific complex tasks. .

Optimized FPGA based continuous wavelet transform

“…According to Section 3.4, as most of the EEG frequency components are less than 60 Hz [20], upper frequency components can be omitted to reduce the number of computations and save required BRAM. Fig.…”

The Role of Slow-Wave Electroencephalographic Activity in Reading

“…Benham and colleagues found a widespread significant increase in the 4-8 Hz band when participants reported being engrossed in listening to a story, as opposed to when they reported not being engrossed (Benham, Rasey, Lubar, Frederick, & Zoffuto, 1997). Maybe children with attention deficit disorder engage in some internal engrossment (which some may call day dreaming) that occupies working memory resources.…”

FPGA implementation of wavelet coherence for EEG and ERP signals

“…The maximum amplitude for the EEG signal can go up to 100 µV and their frequency components are in the range 0.5-100 Hz [3]. However, the typical frequency range of an EEG epoch is 0.5-40 Hz [4]. Real time EEG applications are highly depend on the event related potential (ERP) components superimposed on the ongoing EEG and specifically, the P300 [5][6].…”