Detection of speech errors in the speech of others: An ERP study

Lesya Y. Ganushchak*, Niels O. Schiller

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

4 Citations (Scopus)


The current event-related brain potential study examined the processing of observed speech errors. Participants were asked to detect errors in the speech of others while listening to the description of a visual network. Networks consisted of colored drawings of objects connected by straight or curved lines. We investigated the processing of two types of errors in the network descriptions, i.e., incorrect color and errors in determiners usage (gender agreement violations). In the 100- to 300-ms and 300- to 550-ms time windows, we found larger PMN and N400 amplitudes for both color and determiner error trials compared to correct trials. Furthermore, color but not determiner errors led to larger P600 amplitudes compared to correct color trials. Color errors also showed enhanced P600 amplitudes compared to determiner errors. Taken together, processing erroneous network descriptions elicits different brain potentials than listening to the corresponding correct utterances. Hence, speech is monitored for errors not only during speech production but also during listening to the naturally occurring speech of others.

Original languageEnglish
Pages (from-to)3331-3337
Number of pages7
Issue number4
Publication statusPublished - 15 Feb 2010

Bibliographical note

Funding Information:
The work presented in this manuscript was supported by NWO grant no. 453-02-006 to Niels O. Schiller. The authors thank Iemke Horemans and Maya Visser for the data acquisition at Maastricht University and two anonymous reviewers for their helpful comments on an earlier version of this manuscript. Correspondence concerning this article should be addressed to Lesya Ganushchak, Department of Cognitive Psychology, Leiden University-Institute for Psychological Research (LU-IPR), Wassenaarseweg 52, 2333 AK Leiden, The Netherlands; Email: [email protected].


Dive into the research topics of 'Detection of speech errors in the speech of others: An ERP study'. Together they form a unique fingerprint.

Cite this