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Functional connectivity reveals dissociable ventrolateral prefrontal mechanisms for the control of multilingual word retrieval

Authors :
Branzi, Francesca M.
Martin, Clara D.
Carreiras, Manuel
Paz-alonso, Pedro M.
Branzi, Francesca M.
Martin, Clara D.
Carreiras, Manuel
Paz-alonso, Pedro M.
Publication Year :
2020

Abstract

Issue Online: 08 December 2019<br />This functional magnetic resonance imaging study established that different portions of the ventrolateral prefrontal cortex (vlPFC) support reactive and proactive language control processes during multilingual word retrieval. The study also examined whether proactive language control consists in the suppression of the nontarget lexicon. Healthy multilingual volunteers participated in a task that required them to name pictures alternately in their dominant and less‐dominant languages. Two crucial variables were manipulated: the cue‐target interval (CTI) to either engage (long CTI) or prevent (short CTI) proactive control processes, and the cognate status of the to‐be‐named pictures (noncognates vs. cognates) to capture selective pre‐activation of the target language. The results of the functional connectivity analysis showed a clear segregation between functional networks related to mid‐vlPFC and anterior vlPFC during multilingual language production. Furthermore, the results revealed that multilinguals engage in proactive control to prepare the target language. This proactive modulation, enacted by anterior vlPFC, is achieved by boosting the activation of lexical representations in the target language. Finally, control processes supported by both mid‐vlPFC and the left inferior parietal lobe, were similarly engaged by reactive and proactive control, possibly exerted on phonological representations to reduce cross‐language interference.

Details

Database :
OAIster
Notes :
This work was supported by one grant from the European Research Council under the European Community’s Seventh Framework (FP7/2007–2013 Cooperation grant agreement 613465-AThEME). Francesca M. Branzi was partially supported by a postdoctoral fellowship from the European Union’s Horizon 2020 research and innovation programme, under the Marie Sklodowska-Curie grant agreement No 658341. Pedro M. Paz-Alonso was supported by grants (RYC-2014–15440, PSI2015-65696) from the Spanish Ministry of Economy and Competitiveness (MINECO), and a grant (PI2016-12) from the Basque Government. Manuel Carreiras was partially supported by grant ERC-2011-ADG-295362 from the European Research Council, and grant PSI2015-67353-R from the MINECO. BCBL acknowledges funding from Ayuda Centro de Excelencia Severo Ochoa SEV-2015–0490 from the MINECO, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1202405626
Document Type :
Electronic Resource