Electroencephalography and neuroimaging are major techniques in brain investigation. Electrocerebral activity represents local action potentials and widespread excitatory and inhibitory postsynaptic potentials recorded as the EEG. ECoG records an average of synchronous, widespread post-synaptic potentials arising in vertically oriented pyramidal cells of the upper layers of the cerebral cortex [1]. Advances in computer technology have allowed quantification of the EEG and expansion of quantitative EEG (qEEG) analysis in neurophysiology, as well as clinical neurology, with a great success. Among the variety of techniques in this field, the computer assisted frequency (spectral) analysis (FFT) of the EEG signals provides a sensitive tool for time-course studies of different compounds acting on particular neurotransmitter systems. Frequency data are often analyzed as the power spectrum, measured as total power in microvolts-squared divided by frequency (µV2/Hz) and separated into low (delta, theta) or high (alpha, beta) frequency bands.
