Morphosyntactic prediction in automatic neural processing of spoken language: EEG evidence

Area of Science:

• Neuroscience
• Psycholinguistics
• Cognitive Science

Background:

• The human brain's automatic syntactic parsing is known, but its underlying mechanisms are unclear.
• The early left-anterior negativity (ELAN) in event-related potentials (ERPs) is linked to this parsing.
• Two hypotheses exist for ELAN: error detection versus morphosyntactic prediction/priming.

Purpose of the Study:

• To investigate the origin of the early left-anterior negativity (ELAN) component of event-related potentials (ERPs).
• To differentiate between error detection and morphosyntactic prediction/priming as explanations for ELAN.
• To explore the automaticity of early morphosyntactic parsing in the human brain.

Main Methods:

• Two experiments were conducted using a non-attend passive design with visual distraction.
• Event-related potentials (ERPs) were recorded.
• Stimuli included spoken pronoun-verb phrases with and without agreement violations, and isolated verbs.

Main Results:

• An ELAN component (∼130-220 ms) was observed for pronoun-verb gender agreement violations.
• This confirms a high degree of automaticity in early morphosyntactic parsing.
• The strongest ELAN was elicited by verbs presented in isolation, suggesting syntactic priming/predictability rather than error detection.

Conclusions:

• The findings support the hypothesis that ELAN reflects syntactic priming and predictability between words/morphemes.
• This process may involve associative links formed through linguistic experience.
• The results challenge the notion that ELAN is solely a specialized error-detection mechanism.