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Multiple motor systems spontaneously track speech structures at distinct levels with individual variability
Lu Luo1, Xiaoyu Zhang2, Lingxi Lu2
1School of Psychology, Beijing Sport University, Beijing 100084, China; Laboratory of Sports Stress and Adaptation of General Administration of Sport, Beijing 100084, China.
Individual differences in auditory-motor coupling influence speech tracking. Motor systems like vocalization and eye movements contribute to processing hierarchical speech structures, with high synchronizers showing stronger engagement.
Area of Science:
- Cognitive Neuroscience
- Speech Perception
- Motor Control
Background:
- Auditory-motor coupling strength varies significantly between individuals.
- The precise timescales of motor system involvement in hierarchical speech tracking are not well understood.
Purpose of the Study:
- To investigate how individual differences in auditory-motor coupling affect motor system contributions to hierarchical speech tracking.
- To explore the roles of articulatory, oculomotor, and autonomic systems in processing speech structure.
Main Methods:
- Utilized a modified speech-to-speech synchronization (SSS) paradigm with hierarchically structured speech.
- Recorded articulatory vocalization, eye movements, and cardiac activity during and after auditory stimulus presentation.
- Analyzed performance based on a bimodal distribution separating high and low synchronizers.
Main Results:
- Vocalization demonstrated spontaneous word-level tracking, stronger in high synchronizers, indicating temporal prediction.
- Covert oculomotor activity showed syllable-rate tracking exclusively in high synchronizers, with distinct temporal dynamics.
- High synchronizers exhibited subtle, structure-dependent modulation of autonomic cardiac activity.
Conclusions:
- Articulatory and oculomotor systems offer complementary roles in speech tracking, varying across individuals.
- Individual differences in auditory-motor coupling modulate the engagement and organization of these motor contributions.
- This multisystem approach provides markers for embodied mechanisms in hierarchical speech processing.
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