This computer analysis makes it possible to detect and quantify abnormal brain organization, to give a quantitative definition of the severity of brain disease, and to identify subgroups of pathophysiological abnormalitites within groups of patients with similar clinical symptoms.
Reliable and meaningful results require an adequate amount of good quality raw data, correlated with age, transformed for Gaussian distributions, and corrected for intercorrelations among measures.
Neurometric analysis is able to detect consistent patterns of abnormalities in patients with subtle cognitive dysfunctions and psychiatric disorders.
This was due in part to the advent of inexpensive methods of linking computers to traditional EEG devices.
Leading researchers in the field included Frank Duffy,[4] E. Roy John, and Robert Thatcher.