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首页> 外文期刊>Frontiers in Psychology >Dynamic modulation of shared sensory and motor cortical rhythms mediates speech and non-speech discrimination performance
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Dynamic modulation of shared sensory and motor cortical rhythms mediates speech and non-speech discrimination performance

机译:共享的感觉和运动皮质节律的动态调制介导语音和非语音识别性能

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Oscillatory models of speech processing have proposed that rhythmic cortical oscillations in sensory and motor regions modulate speech sound processing from the bottom-up via phase reset at low frequencies (3–10 Hz) and from the top-down via the disinhibition of alpha/beta rhythms (8–30 Hz). To investigate how the proposed rhythms mediate perceptual performance, electroencephalographic (EEG) was recorded while participants passively listened to or actively identified speech and tone-sweeps in a two-force choice in noise discrimination task presented at high and low signal-to-noise ratios. EEG data were decomposed using independent component analysis and clustered across participants using principle component methods in EEGLAB. Left and right hemisphere sensorimotor and posterior temporal lobe clusters were identified. Alpha and beta suppression was associated with active tasks only in sensorimotor and temporal clusters. In posterior temporal clusters, increases in phase reset at low frequencies were driven by the quality of bottom-up acoustic information for speech and non-speech stimuli, whereas phase reset in sensorimotor clusters was associated with top-down active task demands. A comparison of correct discrimination trials to those identified at chance showed an earlier performance related effect for the left sensorimotor cluster relative to the left-temporal lobe cluster during the syllable discrimination task only. The right sensorimotor cluster was associated with performance related differences for tone–sweep stimuli only. Findings are consistent with internal model accounts suggesting that early efferent sensorimotor models transmitted along alpha and beta channels reflect a release from inhibition related to active attention to auditory discrimination. Results are discussed in the broader context of dynamic, oscillatory models of cognition proposing that top-down internally generated states interact with bottom-up sensory processing to enhance task performance.
机译:语音处理的振荡模型提出,感觉和运动区域的节律性皮层振荡会通过自下而上通过低频(3-10 Hz)的相位重置来调节语音处理,而通过自上而下通过抑制α/β来调节语音处理。节奏(8–30 Hz)。为了研究拟议的节奏如何介导知觉表现,在参与者以高和低信噪比呈现的噪声识别任务中,以两力选择被动聆听或主动识别语音和音频扫描时,记录了脑电图(EEG) 。使用独立的成分分析方法分解EEG数据,并使用EEGLAB中的主成分方法在参与者之间进行聚类。左和右半球感觉运动和后颞叶群集。阿尔法和贝塔抑制只与感觉运动和颞部群集中的活动任务相关。在后颞部簇中,低频和低频重置相位的增加是由语音和非语音刺激的自下而上的声学信息的质量驱动的,而感觉运动簇中的相位重置与自上而下的主动任务需求相关。将正确的辨别试验与偶然发现的辨别试验进行比较,结果表明,仅在音节辨别任务期间,左感觉运动群集相对于左颞叶群集的早期性能相关效应。正确的感觉运动群集仅与音调刺激的性能相关差异相关。研究结果与内部模型相吻合,表明沿α和β通道传递的早期传出的感觉运动模型反映了与积极关注听觉歧视相关的抑制作用的释放。在动态,振荡的认知模型的更广泛上下文中讨论了结果,提出了自上而下的内部生成状态与自下而上的感官处理相互作用以增强任务性能。

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