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dc.contributor.authorHu, Jennifer
dc.contributor.authorSmall, Hannah
dc.contributor.authorKean, Hope
dc.contributor.authorTakahashi, Atsushi
dc.contributor.authorZekelman, Leo
dc.contributor.authorKleinman, Daniel
dc.contributor.authorRyan, Elizabeth
dc.contributor.authorNieto-Castañón, Alfonso
dc.contributor.authorFerreira, Victor
dc.contributor.authorFedorenko, Evelina
dc.date.accessioned2023-03-27T13:24:04Z
dc.date.available2023-03-27T13:24:04Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/1721.1/148770
dc.description.abstract<jats:title>Abstract</jats:title> <jats:p>A fronto-temporal brain network has long been implicated in language comprehension. However, this network’s role in language production remains debated. In particular, it remains unclear whether all or only some language regions contribute to production, and which aspects of production these regions support. Across 3 functional magnetic resonance imaging experiments that rely on robust individual-subject analyses, we characterize the language network’s response to high-level production demands. We report 3 novel results. First, sentence production, spoken or typed, elicits a strong response throughout the language network. Second, the language network responds to both phrase-structure building and lexical access demands, although the response to phrase-structure building is stronger and more spatially extensive, present in every language region. Finally, contra some proposals, we find no evidence of brain regions—within or outside the language network—that selectively support phrase-structure building in production relative to comprehension. Instead, all language regions respond more strongly during production than comprehension, suggesting that production incurs a greater cost for the language network. Together, these results align with the idea that language comprehension and production draw on the same knowledge representations, which are stored in a distributed manner within the language-selective network and are used to both interpret and generate linguistic utterances.</jats:p>en_US
dc.language.isoen
dc.publisherOxford University Press (OUP)en_US
dc.relation.isversionof10.1093/CERCOR/BHAC350en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcebioRxiven_US
dc.titlePrecision fMRI reveals that the language-selective network supports both phrase-structure building and lexical access during language productionen_US
dc.typeArticleen_US
dc.identifier.citationHu, Jennifer, Small, Hannah, Kean, Hope, Takahashi, Atsushi, Zekelman, Leo et al. 2022. "Precision fMRI reveals that the language-selective network supports both phrase-structure building and lexical access during language production." Cerebral Cortex.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.relation.journalCerebral Cortexen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2023-03-27T13:19:40Z
dspace.orderedauthorsHu, J; Small, H; Kean, H; Takahashi, A; Zekelman, L; Kleinman, D; Ryan, E; Nieto-Castañón, A; Ferreira, V; Fedorenko, Een_US
dspace.date.submission2023-03-27T13:19:44Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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