Individuals 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.
| Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/625217 |
| Date | January 2017 |
| Creators | Plante, Elena, Patterson, Dianne, Sandoval, Michelle, Vance, Christopher J., Asbjørnsen, Arve E. |
| Contributors | Univ Arizona, Dept Speech Language & Hearing Sci |
| Publisher | ELSEVIER SCI LTD |
| Source Sets | University of Arizona |
| Language | English |
| Detected Language | English |
| Type | Article |
| Rights | © 2017 The University of Arizona. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license. |
| Relation | http://linkinghub.elsevier.com/retrieve/pii/S2213158217300281 |
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