Investigating the neural correlates of phonological encoding using a cluster-based analysis approach.

Area of Science:

• Cognitive Neuroscience
• Psycholinguistics
• Speech Production Research

Background:

• Phonological encoding is a key speech production step, progressing incrementally.
• The incremental nature of encoding for multisyllabic words and its neural basis remain unclear.
• Limited research exists on the serial processing within syllables of multisyllabic words.

Purpose of the Study:

• To investigate the timing of phonological encoding between and within syllables of bisyllabic words.
• To examine the neural activity underlying the serial processing of phonological encoding.
• To clarify the incremental nature of encoding for multisyllabic words.

Main Methods:

• Utilized electroencephalography (EEG) and a data-driven cluster-based analysis.
• Employed a phoneme-monitoring task with covert picture naming of bisyllabic words.
• Analyzed neuroelectric activity using cluster-based permutation testing.

Main Results:

• Faster response times were observed for targets at the first syllable (S1) onset compared to the second syllable (S2) onset.
• Neural activity differed significantly for targets at S1 onset versus S1 offset.
• No significant differences were found between S2 onset and S2 offset monitoring.

Conclusions:

• Phonological encoding in bisyllabic words proceeds incrementally.
• Neural findings support a serial time course of encoding extending to phonemes within the first syllable.
• Results offer insights into speech production models.