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Temporal dynamics of sensorimotor integration in speech perception and production: independent component analysis of EEG data

机译:语音感知和产生过程中感觉运动整合的时空动力学:脑电数据的独立成分分析

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Activity in anterior sensorimotor regions is found in speech production and some perception tasks. Yet, how sensorimotor integration supports these functions is unclear due to a lack of data examining the timing of activity from these regions. Beta (~20 Hz) and alpha (~10 Hz) spectral power within the EEG μ rhythm are considered indices of motor and somatosensory activity, respectively. In the current study, perception conditions required discrimination (same/different) of syllables pairs (/ba/ and /da/) in quiet and noisy conditions. Production conditions required covert and overt syllable productions and overt word production. Independent component analysis was performed on EEG data obtained during these conditions to (1) identify clusters of μ components common to all conditions and (2) examine real-time event-related spectral perturbations (ERSP) within alpha and beta bands. 17 and 15 out of 20 participants produced left and right μ-components, respectively, localized to precentral gyri. Discrimination conditions were characterized by significant (pFDR < 0.05) early alpha event-related synchronization (ERS) prior to and during stimulus presentation and later alpha event-related desynchronization (ERD) following stimulus offset. Beta ERD began early and gained strength across time. Differences were found between quiet and noisy discrimination conditions. Both overt syllable and word productions yielded similar alpha/beta ERD that began prior to production and was strongest during muscle activity. Findings during covert production were weaker than during overt production. One explanation for these findings is that μ-beta ERD indexes early predictive coding (e.g., internal modeling) and/or overt and covert attentional/motor processes. μ-alpha ERS may index inhibitory input to the premotor cortex from sensory regions prior to and during discrimination, while μ-alpha ERD may index sensory feedback during speech rehearsal and production.
机译:在言语产生和一些感知任务中发现前感觉运动区的活动。然而,由于缺乏检查这些区域活动时间的数据,尚不清楚感觉运动整合如何支持这些功能。脑电图μ节律内的beta(〜20 Hz)和alpha(〜10 Hz)频谱功率分别被视为运动和体感活动的指标。在当前的研究中,知觉条件要求在安静和嘈杂的条件下区分(相同/不同)音节对(/ ba /和/ da /)。生产条件需要秘密和公开的音节生产以及公开的字词生产。对在这些条件下获得的EEG数据进行了独立的成分分析,以(1)识别所有条件下共有的μ成分簇,以及(2)检查alpha和β波段内与事件相关的实时光谱扰动(ERSP)。 20名参与者中有17名和15名分别产生了左和右μ分量,它们位于中央前回。区分条件的特征在于刺激呈现之前和期间的早期α事件相关的同步(ERS)显着(pFDR <0.05),以及刺激偏移之后的alpha事件相关的失步(ERD)。 Beta ERD开始得很早,并且随着时间的流逝获得了增长。发现安静和嘈杂的歧视条件之间存在差异。明显的音节和单词产生都产生相似的α/βERD,这在产生之前就开始了,并且在肌肉活动中最强。秘密生产期间的发现要弱于公开生产期间的发现。这些发现的一种解释是,μ-βERD会索引早期的预测编码(例如,内部建模)和/或明显的和秘密的注意/运动过程。 μ-alphaERS可以在辨别之前和之中从感觉区域索引抑制输入到运动前皮质,而μ-alphaERD可以在语音演练和产生过程中索引感觉反馈。

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