2019
DOI: 10.1016/j.neuroimage.2019.02.056
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Tracking the microstructural properties of the main white matter pathways underlying speech processing in simultaneous interpreters

Abstract: Due to the high linguistic and cognitive demands placed on real-time language translation, professional simultaneous interpreters (SIs) have previously been proposed to serve as a reasonable model for evaluating experience-dependent brain properties. However, currently it is still unknown whether intensive language training during adulthood might be reflected in microstructural changes in language-related white matter pathways contributing to sound-to-meaning mapping, auditory-motor integration, and verbal mem… Show more

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Cited by 14 publications
(14 citation statements)
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References 73 publications
(138 reference statements)
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“…www.nature.com/scientificreports/ Finally, as stated earlier, our study indicates that similar forms of language expertise may recruit differential neural mechanisms. Although the majority of the studies on language-related neuroplasticity have favored averaged reports across multiple samples, thus masking potential individual differences within their samples 90,92,93,96 , our results align with few studies using difficult artificial language learning tasks in healthy subjects that report individual variability in the integrity of dorsal and ventral white matter tracts associated to successful learning 22,112 . Crucially, a recent study 116 has also provided evidence on individual variability in auditory-motor integration abilities, potentially related to the adoption of different cognitive strategies during linguistically demanding tasks.…”
Section: Discussionsupporting
confidence: 79%
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“…www.nature.com/scientificreports/ Finally, as stated earlier, our study indicates that similar forms of language expertise may recruit differential neural mechanisms. Although the majority of the studies on language-related neuroplasticity have favored averaged reports across multiple samples, thus masking potential individual differences within their samples 90,92,93,96 , our results align with few studies using difficult artificial language learning tasks in healthy subjects that report individual variability in the integrity of dorsal and ventral white matter tracts associated to successful learning 22,112 . Crucially, a recent study 116 has also provided evidence on individual variability in auditory-motor integration abilities, potentially related to the adoption of different cognitive strategies during linguistically demanding tasks.…”
Section: Discussionsupporting
confidence: 79%
“…Third, our design did not include online measures of the functional activity during backward speech neural correlates of backward expertise. Even though the results converge with those from task-related fMRI research on spontaneous backward speech 31 , and despite the validity of off-line assessments to detect neural correlates of language expertise 90,93,96 , further investigations involving online and offline neuroscientific measures are needed. Fourth, our cross-sectional design did not allow us to determine whether the neural patterns observed are the result of experience-dependent plastic changes due to training, or if they reflect pre-existing individual differences.…”
Section: Discussionmentioning
confidence: 67%
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“…Interestingly, the involvement of the dorsal frontoparietal language circuit agrees with recent evidence from a neuroimaging study of two language experts in "backward speech", which consist in the production of utterances by reversing the order of phonemes (e.g., at the word level, from mesaasem or at syllable level, same) (Torres-Prioris et al, 2020). Structural MRI analysis in these experts indicated increased grey matter volume, greater integrity of white matter and functional connectivity along dorsal language stream regions mediating phonological encoding and audio-motor integration and supporting short-term storage and manipulation of verbal information, which also converges with structural changes in this dorsal fronto-temporal parietal network previously observed in simultaneous interpreters (Elmer & Kühnis, 2016;Elmer et al, 2019) and expert phoneticians (Vandermosten, Price & Golestani, 2016).…”
Section: Involvement Of Frontal But Not Ventral Language-related Regions During Palindrome Creationsupporting
confidence: 57%
“…Finally, artefactual bers, if present in any of the tracts / hemispheres, were removed using exclusion ROIs, as is standard practice in manual reconstructions (Elmer et al 2019;Vaquero et al 2021). Tract volume and Fractional Anisotropy (FA) values were extracted in every participant for each tract and hemisphere.…”
Section: Tract Dissectionsmentioning
confidence: 99%