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Disrupting the speech motor network: exploring hemispheric specialisation for verbal and manual sequencing using a dual-task approach

Version 4 2024-03-12, 17:35
Version 3 2023-10-29, 14:27
journal contribution
posted on 2024-03-12, 17:35 authored by Jessica Hodgson, Rachel Tremlin, John Hudson
<p>Objective: The concept of overlapping neural networks supporting both speech production and fine motor praxis is well accepted; however few studies explore the lateralised behavioural characteristics of language and praxis when performed simultaneously. Method: This study probes the characteristics of the dominant hemisphere by overloading cognitive processing via a novel dual-task paradigm. Two experiments are presented where participants performed sets of motor and speech tasks under single and dual-task conditions. The sets of tasks differed on the extent to which they relied on sequential processing, with the hypothesis 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 sequential processing arm were consistently impaired under dual-task conditions, a distinction not seen in the control arm. Results of experiment 2 confirm those of experiment 1, whereby speech scores were most strongly impaired under dual-task conditions and significantly more so in the experimental arm. Motor performance suffered less than speech performance in dual-task conditions over both experimental and control arms in both experimentsConclusion: Data suggest that the common processing capacity for speech and motor praxis can be disrupted through a dual-task paradigm. This novel behavioural data supports theories suggesting 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 tasks</p>

History

School affiliated with

  • School of Psychology (Research Outputs)

Publication Title

Neuropsychology

Volume

33

Issue

8

Pages/Article Number

1101-1110

Publisher

American Psychological Association (APA)

ISSN

0894-4105

Date Submitted

2019-07-03

Date Accepted

2019-06-23

Date of First Publication

2019-11-30

Date of Final Publication

2019-11-30

Date Document First Uploaded

2019-07-01

ePrints ID

36366

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