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Brain Mechanisms Project

Introduction.
During the succeding years since Kraepelin many efforts have been made to create a scientific classification of mental disorders all of which have been limited utility. Normaly all the researchers use fMRI or other neuroimaging techniques like sPECT to studying the function of the living brain, looking for the pathophysiology if not the etiology. We preferred to use EEG.The first EEGs recorded from psychiatric patients who demonstrated symptomatology associated with schizophrenia, were recorded as early as 1936 by Lemere (Lemere 1936), and later in 1937 by Berger (Ellingson 1954). Visual inspection of the EEG recorded from Berger’s psychotic patients revealed certain aberrationsunlike those from non-psychotic subjects. These aberrations were referred to as "disorganized EEGs", later known as fronta delta and theta activity.

Due to advances in computing, the task of quantifying these "disorganized" patterns of EEG found in these patients was easier and increasingly available to more research laboratories. Some techniques, such as neurometric classification or quantitative EEG (John et al. 1988, 1992), or the application of EEG modeling techniques (Koukkou et al. 1993, 1995) have demonstrated a greater success at discriminating different mental disorders.

By coupling EEG topographical mapping withneuropsychological testing…this may shed light on mechanisms responsible for information processing abnormalities in mental disorders. They indicate that functional activation conditions are more sensitive than the resting state to the differentiation of patients from controls.

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css válido xhtml válido Fundación Española para el Desarrollo de la Neurometría CIF: G73650608
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