Why aren't individuals with developmental language disorders able to learn language as quickly or as well as their typical language peers? This question is at the heart of the study of developmental language disorders and, if understood, could provide a foundation to improve the language outcomes for affected individuals. In this grant, we propose to use functional magnetic resonance imaging (fMRI) to visualize neural resource allocation during the process of language learning by adults with typical language and with developmental language disorder. We will use paradigms that are known to produce rapid learning (over the course of minutes) so that the dynamics of language learning can be observed over the course of multiple fMRI scans within a single experimental session. The behavioral paradigms selected will focus on three aspects of language form, considered a core deficit for the disorder. We will use natural language stimuli (elements drawn from unfamiliar foreign languages) to enhance the ecological validity of the work. Advanced statistical modeling techniques, including Independent Component Analysis and Linear Structural Equation Modeling will be used to model fMRI data at a network level. Diffusion Tensor Imaging (DTI) will also serve to characterize the structural connections that underlie network-level interactions. This work will advance the field's basic understanding of how resources are allocated during the process of learning language and will address a current theory that posits language acquisition involves the allocation of both language and other cognitive resources in the service of learning. Furthermore, the work will help to determine whether learning by those with developmental language disorders reflects a general inability to allocate neural resources at sufficiently high levels (i.e., general hypoactivation) vs. ineffective allocation of resources (regional differences in activation or differences in connectivity among regions activated), or both.

Public Health Relevance

At 13% of the population, developmental language disorder is the most prevalent developmental disorder. The disorder impacts social communication, educational achievement, and economic prospects of those affected. Work that addresses why learning is poor may lead to improved methods for remediating the learning deficits of affected individuals.

National Institute of Health (NIH)
Research Project (R01)
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Language and Communication Study Section (LCOM)
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Cooper, Judith
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University of Arizona
Schools of Arts and Sciences
United States
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Plante, Elena; Almryde, Kyle; Patterson, Dianne K et al. (2015) Language lateralization shifts with learning by adults. Laterality 20:306-25
Forbes, Angus; Villegas, Javier; Almryde, Kyle R et al. (2014) A stereoscopic system for viewing the temporal evolution of brain activity clusters in response to linguistic stimuli. Proc SPIE Int Soc Opt Eng 9011:90110I
Patterson, Dianne K; Van Petten, Cyma; Beeson, PĂ©lagie M et al. (2014) Bidirectional iterative parcellation of diffusion weighted imaging data: separating cortical regions connected by the arcuate fasciculus and extreme capsule. Neuroimage 102 Pt 2:704-16
Plante, Elena; Patterson, Dianne; Dailey, Natalie S et al. (2014) Dynamic changes in network activations characterize early learning of a natural language. Neuropsychologia 62:77-86