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首页> 外文期刊>Neuropsychology >Disrupting the Speech Motor Network: Exploring Hemispheric Specialization for Verbal and Manual Sequencing Using a Dual-Task Approach
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Disrupting the Speech Motor Network: Exploring Hemispheric Specialization for Verbal and Manual Sequencing Using a Dual-Task Approach

机译:扰乱语音电机网络:使用双重任务方法探索口头和手动测序的半球专业化

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Objective: The concept of overlapping neural networks supporting both speech production and fine motor praxis is well accepted; however, few studies have explored the lateralized behavioral characteristics of both functions when performed simultaneously. Method: This study probes the characteristics of the dominant hemisphere by overloading cognitive processing via a novel dual-task paradigm. In 2 experiments, participants performed sets of motor and speech tasks under single-task and dual-task conditions. The sets of tasks differed as to the extent to which they relied on sequential processing, and we hypothesized that tasks more reliant on this type of processing would suffer a greater performance decrement under dual-task conditions. A reliable measure of hemispheric language dominance was obtained via functional transcranial Doppler (fTCD) ultrasound. Results: Speech production scores in the experimental set (i.e., sequential processing) were consistently impaired under dual-task conditions, a distinction that was not seen in the control set. Results of Experiment 2 confirm those of Experiment 1, whereby speech scores were most strongly impaired under dual-task conditions, especially in the experimental set. Motor performance suffered less than speech performance in dual-task conditions in both the experimental and control sets across both experiments. Conclusion: Data suggest that the common processing capacity for speech and fine motor praxis can be disrupted through a dual-task paradigm. This novel behavioral data supports theories of a motor-based gestural origin for language and indicates that speech production is more sensitive to the effects of increased processing requirements than are motor skills.
机译:目的:支持语音生产和精细马达的重叠神经网络的概念得到了很好的接受;然而,在同时执行时,很少有研究探索了两种功能的侧向行为特征。方法:本研究通过通过新型双重任务范例过载认知处理来探讨显性半球的特征。在2个实验中,参与者在单任务和双任务条件下执行了一组电机和语音任务。这些任务集不同于它们依赖于顺序处理的程度,并且我们假设任务更依赖于这种类型的处理将在双任务条件下遭受更大的性能下降。通过功能经颅多普勒(FTCD)超声获得了半球语言优势的可靠度量。结果:在双任务条件下,实验组中的语音生产评分(即,顺序处理)在双任务条件下持续受损,在控制集中没有看到的区别。实验2的结果证实了实验1的结果,其中语音评分在双任务条件下最强烈损害,特别是在实验组中。在两项实验中的实验和控制集中,电机性能在两项任务条件下遭受了较低的语音性能。结论:数据表明,通过双任务范例可以破坏语音和精细电机的常见处理能力。这种新的行为数据支持语言的基于电机的姿态原点的理论,并表明语音生产对加工要求的效果更敏感而不是运动技能。

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