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dc.contributor.authorPlante, Elena
dc.contributor.authorPatterson, Dianne
dc.contributor.authorSandoval, Michelle
dc.contributor.authorVance, Christopher J.
dc.contributor.authorAsbjørnsen, Arve E.
dc.date.accessioned2017-08-10T15:58:20Z
dc.date.available2017-08-10T15:58:20Z
dc.date.issued2017
dc.identifier.citationAn fMRI study of implicit language learning in developmental language impairment 2017, 14:277 NeuroImage: Clinicalen
dc.identifier.issn22131582
dc.identifier.pmid28203531
dc.identifier.doi10.1016/j.nicl.2017.01.027
dc.identifier.urihttp://hdl.handle.net/10150/625217
dc.description.abstractIndividuals with developmental language impairment can show deficits into adulthood. This suggests that neural networks related to their language do not normalize with time. We examined the ability of 16 adults with and without impaired language to learn individual words in an unfamiliar language. Adults with impaired language were able to segment individual words from running speech, but needed more time to do so than their normal-language peers. ICA analysis of fMRI data indicated that adults with language impairment activate a neural network that is comparable to that of adults with normal language. However, a regional analysis indicated relative hyperactivation of a collection of regions associated with language processing. These results are discussed with reference to the Statistical Learning Framework and the sub-skills thought to relate to word segmentation. (C) 2017 The University of Arizona. Published by Elsevier Inc.
dc.description.sponsorshipNational Institute on Deafness and Other Communication Disorders [R01DC011276]en
dc.language.isoenen
dc.publisherELSEVIER SCI LTDen
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S2213158217300281en
dc.rights© 2017 The University of Arizona. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license.en
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectStatistical learningen
dc.subjectLanguageen
dc.subjectLearningen
dc.subjectSpecific language impairmenten
dc.subjectfMRIen
dc.subjectBrainen
dc.titleAn fMRI study of implicit language learning in developmental language impairmenten
dc.typeArticleen
dc.contributor.departmentUniv Arizona, Dept Speech Language & Hearing Scien
dc.identifier.journalNeuroImage: Clinicalen
dc.description.noteOpen Access Journal.en
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en
dc.eprint.versionFinal published versionen
refterms.dateFOA2018-06-18T02:15:20Z
html.description.abstractIndividuals with developmental language impairment can show deficits into adulthood. This suggests that neural networks related to their language do not normalize with time. We examined the ability of 16 adults with and without impaired language to learn individual words in an unfamiliar language. Adults with impaired language were able to segment individual words from running speech, but needed more time to do so than their normal-language peers. ICA analysis of fMRI data indicated that adults with language impairment activate a neural network that is comparable to that of adults with normal language. However, a regional analysis indicated relative hyperactivation of a collection of regions associated with language processing. These results are discussed with reference to the Statistical Learning Framework and the sub-skills thought to relate to word segmentation. (C) 2017 The University of Arizona. Published by Elsevier Inc.


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© 2017 The University of Arizona. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license.
Except where otherwise noted, this item's license is described as © 2017 The University of Arizona. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license.