Neural Evidence for Tonal Prediction: Multivariate Decoding of Predicted Tone Categories Using Functional Magnetic...

Area of Science:

• Psycholinguistics
• Neuroscience
• Speech Perception

Background:

• Predictive processing is crucial for language comprehension, enabling anticipation of linguistic input.
• While segmental prediction is well-studied, suprasegmental prediction, like lexical tone, is less understood.
• Lexical tone is essential for meaning in tonal languages such as Mandarin Chinese.

Purpose of the Study:

• To investigate if listeners can form and neurally represent predicted lexical tone in the absence of auditory stimuli.
• To explore the neural substrates underlying suprasegmental prediction.
• To compare neural representations of predicted versus perceived tone.

Main Methods:

• Utilized a Mandarin Chinese tone sandhi paradigm to establish tonal predictions.
• Employed functional magnetic resonance imaging (fMRI) to record brain activity.
• Applied multivariate pattern analysis (MVPA) to decode predicted tonal information from neural data.

Main Results:

• Predicted tonal categories were successfully decoded from brain activity without auditory input.
• Neural representations of predicted tones were found in auditory, articulatory motor regions, and the right cerebellum.
• Distinct neural substrates were identified for predicted tone representations compared to perceived tones.

Conclusions:

• Provides direct neural evidence for the ability to form representations of lexical tone during prediction.
• Expands understanding of suprasegmental prediction in speech processing.
• Highlights the cerebellum's role in linguistic prediction, particularly for suprasegmental features.