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Resting-state connectivity reveals a role for sensorimotor systems in vocal emotional processing in children

机译:休息状态连接揭示了感觉运动系统在儿童的声乐情绪加工中的作用

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摘要

Voices are a primary source of emotional information in everyday interactions. Being able to process non-verbal vocal emotional cues, namely those embedded in speech prosody, impacts on our behaviour and communication. Extant research has delineated the role of temporal and inferior frontal brain regions for vocal emotional processing. A growing number of studies also suggest the involvement of the motor system, but little is known about such potential involvement. Using resting-state fMRI, we ask if the patterns of motor system intrinsic connectivity play a role in emotional prosody recognition in children. Fifty-five 8-year-old children completed an emotional prosody recognition task and a resting-state scan. Better performance in emotion recognition was predicted by a stronger connectivity between the inferior frontal gyrus (IFG) and motor regions including primary motor, lateral premotor and supplementary motor sites. This is mostly driven by the IFG pars triangularis and cannot be explained by differences in domain-general cognitive abilities. These findings indicate that individual differences in the engagement of sensorimotor systems, and in its coupling with inferior frontal regions, underpin variation in children's emotional speech perception skills. They suggest that sensorimotor and higher-order evaluative processes interact to aid emotion recognition, and have implications for models of vocal emotional communication.
机译:声音是日常互动中情绪信息的主要来源。能够处理非言语声乐情绪线索,即嵌入在博物馆中的人,影响我们的行为和沟通。现存研究界定了时间和劣质额度脑区对声乐情绪处理的作用。越来越多的研究还提出了电机系统的参与,但是对这种潜在的参与知之甚少。使用休息状态FMRI,我们询问电动机系统的模式是否在儿童中的情感韵律识别中发挥作用。五十五岁儿童完成了情感韵律识别任务和休息状态扫描。通过初级电动机(IFG)和电机区域之间的较强的连接,预测了情感识别的更好性能,包括初级电机,侧向热球和补充电动机场。这主要由IFG Pars Triangularis驱动,并且不能通过域一般认知能力的差异来解释。这些发现表明,传感器系统的接合,以及其与较差的前部区域的耦合,基于儿童情绪语音感知技能的变化来实现各个差异。他们建议感觉运动员和高阶评估过程互动以援助情绪识别,并对声乐情绪通信的模型产生影响。

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