The role of neuronal oscillations in the processing of speech has recently come to prominence. Since resting-state (RS) brain activity has been shown to predict both task-related brain activation and behavioural performance, we set out to establish whether inter-individual differences in spectrally-resolved RS-MEG power are associated with variations in words-in-noise recognition in a sample of 88 participants made available by the Human Connectome Project. Positive associations with resilience to noise were observed with power in the range 21 and 29 Hz in a number of areas along the left temporal gyrus and temporo-parietal association areas peaking in left posterior superior temporal gyrus (pSTG). Significant associations were also found in the right posterior superior temporal gyrus in the frequency range 30-40 Hz. We propose that individual differences in words-in-noise performance are related to baseline excitability levels of the neural substrates of phonological processing.

中文翻译：

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抗噪声大脑：静息状态振荡活动预测噪声识别

神经元振荡在语音处理中的作用最近变得突出。由于静息状态 (RS) 大脑活动已被证明可以预测与任务相关的大脑活动和行为表现，因此我们着手确定光谱分辨 RS-MEG 功率的个体间差异是否与词输入的变化有关- 人类连接组计划提供的 88 名参与者样本中的噪声识别。在 21 和 29 Hz 范围内的功率沿左颞回和颞顶联合区的多个区域中观察到与噪声弹性的正关联，在左后颞上回 (pSTG) 达到峰值。在 30-40 Hz 的频率范围内，在右侧颞上回中也发现了显着的关联。