Phase- dependent word perception emerges from region- specific sensitivity to the statistics of language

• 成果类型: Article
• 署名作者: Ten Oever, Sanne; Titone, Lorenzo; te Rietmolen, Noemie; Martin, Andrea E.
• 署名单位: Max Planck Society; Radboud University Nijmegen; Maastricht University; Max Planck Society
• 刊物名称: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
• ISSN/ISSBN: 0027-13262
• DOI: 10.1073/pnas.2320489121
• 发表日期: 2024-06-04
• 关键词: neuronal oscillations; cortical organization; lexical access; SPEECH; entrainment; mechanism; DECISION; REPRESENTATIONS; expectation; precession

摘要

Neural oscillations reflect fluctuations in excitability, which biases the percept of ambiguous sensory input. Why this bias occurs is still not fully understood. We hypothesized that neural populations representing likely events are more sensitive, and thereby become active on earlier oscillatory phases, when the ensemble itself is less excitable. Perception of ambiguous input presented during less - excitable phases should therefore be biased toward frequent or predictable stimuli that have lower activation thresholds. Here, we show such a frequency bias in spoken word recognition using psychophysics, magnetoencephalography (MEG), and computational modelling. With MEG, we found a double dissociation, where the phase of oscillations in the superior temporal gyrus and medial temporal gyrus biased word - identification behavior based on phoneme and lexical frequencies, respectively. This finding was reproduced in a computational model. These results demonstrate that oscillations provide a temporal ordering of neural activity based on the sensitivity of separable neural populations.