Implicit Segmentation of a Stream of Syllables Based on Transitional Probabilities: An MEG Study |
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| Authors: | Tuomas Teinonen Minna Huotilainen |
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| Institution: | (1) Cognitive Brain Research Unit, Department of Psychology, University of Helsinki, Helsinki, Finland;(2) Finnish Centre of Excellence in Interdisciplinary Music Research, University of Jyv?skyl?, Jyv?skyl?, Finland;(3) Department of Pediatrics, University of Helsinki, Helsinki, Finland;(4) Department of Pediatrics, Lund University, Lund, Sweden;(5) Department of Psychology, University of Tartu, Tartu, Estonia;(6) Centre of Functionally Integrative Neuroscience, Aarhus University, Aarhus, Denmark;(7) Department of Signal Processing and Acoustics, Helsinki University of Technology, Espoo, Finland |
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| Abstract: | Statistical segmentation of continuous speech, i.e., the ability to utilise transitional probabilities between syllables in
order to detect word boundaries, is reflected in the brain’s auditory event-related potentials (ERPs). The N1 and N400 ERP
components are typically enhanced for word onsets compared to random syllables during active listening. We used magnetoencephalography
(MEG) to record event-related fields (ERFs) simultaneously with ERPs to syllables in a continuous sequence consisting of ten
repeating tri-syllabic pseudowords and unexpected syllables presented between these pseudowords. We found the responses to
differ between the syllables within the pseudowords and between the expected and unexpected syllables, reflecting an implicit
process extracting the statistical characteristics of the sequence and monitoring for unexpected syllables. |
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