BRAIN ELECTRICAL MECHANISMS OF BILINGUAL SPEECH MANAGEMENT - AN INITIAL INVESTIGATION

Citation
H. Petsche et al., BRAIN ELECTRICAL MECHANISMS OF BILINGUAL SPEECH MANAGEMENT - AN INITIAL INVESTIGATION, Electroencephalography and clinical neurophysiology, 86(6), 1993, pp. 385-394
Citations number
53
Categorie Soggetti
Neurosciences
ISSN journal
00134694
Volume
86
Issue
6
Year of publication
1993
Pages
385 - 394
Database
ISI
SICI code
0013-4694(1993)86:6<385:BEMOBS>2.0.ZU;2-K
Abstract
This exploratory study deals with EEG changes in 3 professional interp reters while mentally interpreting from their mother language into for eign languages and vice versa. EEGs were recorded while interpreting a nd compared with the periods at rest between these periods of interpre ting. Significant (P < 0.05) changes of coherence between all pairs of electrodes with respect to the averaged EEG at rest were computed for 5 frequency bands between 4 and 32 Hz. The verbal tasks were control- compared with comparable coherence measures for mental arithmetic and listening to music. Interindividual differences predominated, but cert ain common characteristics of the EEG measures were also found. The te mporal regions were most involved in interpreting and particularly in the uppermost beta band (24-32 Hz). More coherence increases - particu larly in the right hemisphere - were found while interpreting into the foreign than into the native language. Coherence changes were found t o accumulate in certain regions of the scalp as pivots or focal areas which apparently have functional significance for the task in question as nodal points of information exchange and/or transfer. Such pivots were found in T3 more than in T4 (in the right-handers) and vice versa in a left-hander. Theta and alpha bands behaved differently and did n ot show such clear-cut differences. The results during mental arithmet ic and listening to music were different from the ones while interpret ing. The results give support to the conception of the cortex as a net work serving the greatest possible divergence and convergence of signa ls.