dc.contributor.author | Barber Friend, Horacio Ángel | |
dc.contributor.author | Janssen, Niels | |
dc.contributor.author | Meij, Maartje van der | |
dc.contributor.author | López Pérez, Pedro Javier | |
dc.contributor.other | Psicología Cognitiva, Social y Organizacional | |
dc.contributor.other | IUNE, ITB | |
dc.date.accessioned | 2024-01-16T21:06:35Z | |
dc.date.available | 2024-01-16T21:06:35Z | |
dc.date.issued | 2020 | |
dc.identifier.uri | http://riull.ull.es/xmlui/handle/915/35397 | |
dc.description | 6- Janssen, N., van der Meij, M., López-Pérez, P.J., & Barber, H.A. (2020). Exploring the temporal dynamics of speech production with EEG and group ICA. Scientific Reports, 10: 3667. https://doi.org/10.1038/s41598-020-60301-1
https://www.nature.com/articles/s41598-020-60301-1 | |
dc.description.abstract | Speech production is a complex skill whose neural implementation relies on a large number of
diferent regions in the brain. How neural activity in these diferent regions varies as a function of
time during the production of speech remains poorly understood. Previous MEG studies on this topic
have concluded that activity proceeds from posterior to anterior regions of the brain in a sequential
manner. Here we tested this claim using the EEG technique. Specifcally, participants performed a
picture naming task while their naming latencies and scalp potentials were recorded. We performed
group temporal Independent Component Analysis (group tICA) to obtain temporally independent
component timecourses and their corresponding topographic maps. We identifed ffteen components
whose estimated neural sources were located in various areas of the brain. The trial-by-trial component
timecourses were predictive of the naming latency, implying their involvement in the task. Crucially,
we computed the degree of concurrent activity of each component timecourse to test whether activity
was sequential or parallel. Our results revealed that these ffteen distinct neural sources exhibit largely
concurrent activity during speech production. These results suggest that speech production relies on
neural activity that takes place in parallel networks of distributed neural sources. | en |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | |
dc.relation.ispartofseries | Scientific Reports (2020) 10:3667 | |
dc.rights | Licencia Creative Commons (Reconocimiento-No comercial-Sin obras derivadas 4.0 Internacional) | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es_ES | |
dc.title | Exploring the temporal dynamics of speech production with EEG and group ICA. | en |
dc.type | info:eu-repo/semantics/article | |
dc.identifier.doi | 10.1038/s41598-020-60301-1 | |