Learning language with the wrong neural scaffolding: the cost of neural commitment to sounds

Does tuning to one's native language explain the “sensitive period” for language learning? We explore the idea that tuning to (or becoming more selective for) the properties of one's native-language could result in being less open (or plastic) for tuning to the properties of a new language...

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Main Authors: Hudson Kam, Carla L., Ettlinger, Marc, Vytlacil, Jason, D'Esposito, Mark, Finn, Amy Sue
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Format: Article
Language:en_US
Published: Frontiers Research Foundation 2013
Online Access:http://hdl.handle.net/1721.1/82932
https://orcid.org/0000-0002-7717-3562
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author Hudson Kam, Carla L.
Ettlinger, Marc
Vytlacil, Jason
D'Esposito, Mark
Finn, Amy Sue
author2 Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
author_facet Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Hudson Kam, Carla L.
Ettlinger, Marc
Vytlacil, Jason
D'Esposito, Mark
Finn, Amy Sue
author_sort Hudson Kam, Carla L.
collection MIT
description Does tuning to one's native language explain the “sensitive period” for language learning? We explore the idea that tuning to (or becoming more selective for) the properties of one's native-language could result in being less open (or plastic) for tuning to the properties of a new language. To explore how this might lead to the sensitive period for grammar learning, we ask if tuning to an earlier-learned aspect of language (sound structure) has an impact on the neural representation of a later-learned aspect (grammar). English-speaking adults learned one of two miniature artificial languages (MALs) over 4 days in the lab. Compared to English, both languages had novel grammar, but only one was comprised of novel sounds. After learning a language, participants were scanned while judging the grammaticality of sentences. Judgments were performed for the newly learned language and English. Learners of the similar-sounds language recruited regions that overlapped more with English. Learners of the distinct-sounds language, however, recruited the Superior Temporal Gyrus (STG) to a greater extent, which was coactive with the Inferior Frontal Gyrus (IFG). Across learners, recruitment of IFG (but not STG) predicted both learning success in tests conducted prior to the scan and grammatical judgment ability during the scan. Data suggest that adults' difficulty learning language, especially grammar, could be due, at least in part, to the neural commitments they have made to the lower level linguistic components of their native language.
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spelling mit-1721.1/829322022-10-02T08:25:53Z Learning language with the wrong neural scaffolding: the cost of neural commitment to sounds Hudson Kam, Carla L. Ettlinger, Marc Vytlacil, Jason D'Esposito, Mark Finn, Amy Sue Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences McGovern Institute for Brain Research at MIT Finn, Amy Sue Does tuning to one's native language explain the “sensitive period” for language learning? We explore the idea that tuning to (or becoming more selective for) the properties of one's native-language could result in being less open (or plastic) for tuning to the properties of a new language. To explore how this might lead to the sensitive period for grammar learning, we ask if tuning to an earlier-learned aspect of language (sound structure) has an impact on the neural representation of a later-learned aspect (grammar). English-speaking adults learned one of two miniature artificial languages (MALs) over 4 days in the lab. Compared to English, both languages had novel grammar, but only one was comprised of novel sounds. After learning a language, participants were scanned while judging the grammaticality of sentences. Judgments were performed for the newly learned language and English. Learners of the similar-sounds language recruited regions that overlapped more with English. Learners of the distinct-sounds language, however, recruited the Superior Temporal Gyrus (STG) to a greater extent, which was coactive with the Inferior Frontal Gyrus (IFG). Across learners, recruitment of IFG (but not STG) predicted both learning success in tests conducted prior to the scan and grammatical judgment ability during the scan. Data suggest that adults' difficulty learning language, especially grammar, could be due, at least in part, to the neural commitments they have made to the lower level linguistic components of their native language. National Science Foundation (U.S.). Graduate Research Fellowship Program 2013-12-16T19:10:39Z 2013-12-16T19:10:39Z 2013-11 2013-05 Article http://purl.org/eprint/type/JournalArticle 1662-5137 http://hdl.handle.net/1721.1/82932 Finn, Amy S., Carla L. Hudson Kam, Marc Ettlinger, Jason Vytlacil, and Mark D Esposito. “Learning language with the wrong neural scaffolding: the cost of neural commitment to sounds.” Frontiers in Systems Neuroscience 7 (2013). https://orcid.org/0000-0002-7717-3562 en_US http://dx.doi.org/10.3389/fnsys.2013.00085 Frontiers in Systems Neuroscience Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Frontiers Research Foundation Frontiers Research Foundation
spellingShingle Hudson Kam, Carla L.
Ettlinger, Marc
Vytlacil, Jason
D'Esposito, Mark
Finn, Amy Sue
Learning language with the wrong neural scaffolding: the cost of neural commitment to sounds
title Learning language with the wrong neural scaffolding: the cost of neural commitment to sounds
title_full Learning language with the wrong neural scaffolding: the cost of neural commitment to sounds
title_fullStr Learning language with the wrong neural scaffolding: the cost of neural commitment to sounds
title_full_unstemmed Learning language with the wrong neural scaffolding: the cost of neural commitment to sounds
title_short Learning language with the wrong neural scaffolding: the cost of neural commitment to sounds
title_sort learning language with the wrong neural scaffolding the cost of neural commitment to sounds
url http://hdl.handle.net/1721.1/82932
https://orcid.org/0000-0002-7717-3562
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