Brain processing of grammatical word class was studied analyzing event
-related potential (ERP) brain fields. Normal subjects observed a rand
omized sequence of single German nouns and verbs on a computer screen,
while 20-channel ERP field map series were recorded separately for bo
th word classes. Spatial microstate analysis was applied, based on the
observation that series of ERP maps consist of epochs of quasi-stable
map landscapes and based on the rationale that different map land sca
pes must have been generated by different neural generators and thus s
uggest different brain functions. Space-oriented segmentation of the m
ean map series identified nine successive, different functional micros
tates, i.e., steps of brain information processing characterized by qu
asi-stable map landscapes. In the microstate from 116 to 172 msec, nou
n-related maps differed significantly from verb-related maps along the
left-right axis. The results indicate that different neural populatio
ns represent different grammatical word classes in language processing
, in agreement with clinical observations. This word class differentia
tion as revealed by the spatial-temporal organization of neural activi
ty occurred at a time after word input compatible with speed of readin
g. (C) 1996 Academic Press, Inc.