ABSTRACT
Electroencephalography (EEG) is a measure of electrical activity on the scalp, which is distinguished from single-cell unit recordings where electrodes are placed on particular cells in the brain. Recording of electrical activity of the brain through the placement of small electrodes on the scalp produces an electroencephalogram that can be interpreted to understand brain activity. Event-related potential (ERP)are time-locked, which means that researchers can mark and measure the onset of the particular waves of interest and then look at statistical analysis, usually through analysis of variance and regression techniques. ERPs are the averaged time-locked wave responses embedded within the EEG signal. Other measurable aspects of EEG/ERP data are joint time frequency, wavelet analysis, and source localization techniques. The use of EEG is widely viewed as the best neuroimaging technique for developmental studies because it is noninvasive, resistant to motor artifacts, and can be applied to sensitive populations such as newborns.
