Back to Search Start Over

Time course of word production in fast and slow speakers: A high density ERP topographic study

Authors :
Andrea Valente
Marina Laganaro
Cyril Perret
Source :
NeuroImage, NeuroImage, Vol. 59, No 4 (2012) pp. 3881-3888
Publication Year :
2012
Publisher :
Elsevier BV, 2012.

Abstract

The transformation of an abstract concept into an articulated word is achieved through a series of encoding processes, which time course has been repeatedly investigated in the psycholinguistic and neuroimaging literature on single word production. The estimates of the time course issued from previous investigations represent the timing of process duration for mean processing speed: as production speed varies significantly across speakers, a crucial question is how the timing of encoding processing varies with speed. Here we investigated whether between-subjects variability in the speed of speech production is distributed along all encoding processes or if it is accounted for by a specific processing stage. We analysed event-related electroencephalographical (ERP) correlates during overt picture naming in 45 subjects divided into three speed subgroups according to their production latencies. Production speed modulated waveform amplitudes in the time window ranging from about 200 to 350 ms after picture presentation and the duration of a stable electrophysiological spatial configuration in the same time period. The remaining time windows from picture onset to 200 ms before articulation were unaffected by speed. By contrast, the manipulation of a psycholinguistic variable, word age-of-acquisition, modulated ERPs in all speed subgroups in a different and later time period, starting at around 400 ms after picture presentation, associated with phonological encoding processes. These results indicate that the between-subject variability in the speed of single word production is principally accounted for by the timing of a stable electrophysiological activity in the 200-350 ms time period, presumably associated with lexical selection.

Details

ISSN :
10538119
Volume :
59
Database :
OpenAIRE
Journal :
NeuroImage
Accession number :
edsair.doi.dedup.....04799b04563b6f54f9776f337f2b03bb