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Rhythmic modulation of prediction errors: A top-down gating role for the beta-range in speech processing
Sevada Hovsepyan1, Itsaso Olasagasti1, Anne-Lise Giraud1,2
1Department of Basic Neurosciences, University of Geneva, Biotech Campus, Genève, Switzerland.
Plos Computational Biology
|November 7, 2023
Summary
Rhythmic brain activity, specifically in the beta range (20-30 Hz), enhances speech perception by optimizing alternating bottom-up and top-down processing. This finding suggests a frequency-based mechanism for coordinating neural information flow during natural language understanding.
Area of Science:
- Cognitive Neuroscience
- Computational Neuroscience
- Speech Processing
Background:
- Natural speech perception involves processing continuous acoustic input, integrating past information, and predicting future sounds.
- This complex task may be managed by a dynamic, hierarchical inferential process coordinating information flow across the language network.
- Neural oscillations, particularly theta, gamma, and beta rhythms, are implicated in different aspects of auditory and language processing.
Purpose of the Study:
- To investigate the role of rhythmic modulation in coordinating bottom-up and top-down information flow during speech perception.
- To determine if beta oscillations are optimal for this rhythmic modulation in a predictive coding framework.
- To explore the frequency-specific advantages for syllable identification in continuous speech.
Main Methods:
- Utilized Precoss-β, a predictive coding computational model designed to identify syllables in real-time speech.
- Simulated and analyzed the effects of rhythmic alternations between bottom-up and top-down processing on syllable recognition.
- Examined the relationship between neural frequency scales (theta, gamma, beta) and distinct processing roles within the model.
Main Results:
- The model demonstrated that a rhythmic alternation of bottom-up and top-down processing significantly improves syllable recognition.
- Optimal speech processing efficacy was achieved when the alternation frequency fell within the beta range (approximately 20-30 Hz).
- Theta and low-gamma oscillations were associated with syllable tracking and phoneme encoding, respectively, while beta oscillations supported inferential processes.
Conclusions:
- A rhythmic alternation of neural processing, particularly in the low-beta range, provides a significant advantage for speech perception.
- This frequency-specific coordination optimizes the interplay between sensory analysis (theta/gamma) and higher-level inference (beta).
- The principle of alternating processing regimes with frequency multiplexing may extend beyond speech to other cognitive functions.
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