| Literature DB >> 35856094 |
Saima Malik-Moraleda1,2,3, Dima Ayyash4,5, Jeanne Gallée6, Josef Affourtit4,5, Malte Hoffmann7,8, Zachary Mineroff4,5,9, Olessia Jouravlev4,5,10, Evelina Fedorenko11,12,13.
Abstract
To understand the architecture of human language, it is critical to examine diverse languages; however, most cognitive neuroscience research has focused on only a handful of primarily Indo-European languages. Here we report an investigation of the fronto-temporo-parietal language network across 45 languages and establish the robustness to cross-linguistic variation of its topography and key functional properties, including left-lateralization, strong functional integration among its brain regions and functional selectivity for language processing.Entities:
Mesh:
Year: 2022 PMID: 35856094 DOI: 10.1038/s41593-022-01114-5
Source DB: PubMed Journal: Nat Neurosci ISSN: 1097-6256 Impact factor: 28.771