2020
DOI: 10.1038/s41598-020-67551-z
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Neurocognitive signatures of phonemic sequencing in expert backward speakers

Abstract: Despite its prolific growth, neurolinguistic research on phonemic sequencing has largely neglected the study of individuals with highly developed skills in this domain. To bridge this gap, we report multidimensional signatures of two experts in backward speech, that is, the capacity to produce utterances by reversing the order of phonemes while retaining their identity. Our approach included behavioral assessments of backward and forward speech alongside neuroimaging measures of voxel-based morphometry, diffus… Show more

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Cited by 9 publications
(7 citation statements)
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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: 86%
“…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: 86%
“…Recently, multiple regional research efforts have been developed in LAC countries focused on the use of machine learning for the combination of neuroimaging modalities as well as behavioral/cognitive assessment to a better understanding of different dementias in our region ( 36 , 130 , 215 219 ). A multi-feature framework, targeting no one single potential biomarker, but a multilevel combination of measures, tuned by machine learning algorithms robust to assess simultaneously multiple features, supporting redundancy of information, and extracting the main components via progressive feature elimination process, would represent a new-generation promissory approach to target the complex multimodal nature of FTD.…”
Section: Discussionmentioning
confidence: 99%
“…Image preprocessing and statistical analysis have been done using CONN v.19c (https://web.conn-toolbox.org/) and SPM12 (http ://www.fil.ion.ucl.ac.uk/spm/) toolboxes following a standard analysis pipeline [20].…”
Section: Discussionmentioning
confidence: 99%
“…For statistical analysis of the results, we used random field theory (RFT [25]) to control the analysis-wise chance of false positives. Following the previous research [20] and considering that the analysis was performed for 133 seeds, cluster-level FDR (False Discovery Rate [26]) correction was adjusted to p < 3.76 Â 10 À4 (i.e., dividing the 0.05 α-value by the 133 tested seeds based on the Bonferroni correction to address multiple comparisons). The results were considered significant at a voxel-wise threshold of level p < 0.001 uncorrected and a cluster-level threshold of p < 3.76 Â 10 À4 FDR corrected.…”
Section: Discussionmentioning
confidence: 99%