MedStar Authors catalog › Details for: Language learning in the adult brain: A neuroanatomical meta-analysis of lexical and grammatical learning.
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Language learning in the adult brain: A neuroanatomical meta-analysis of lexical and grammatical learning.

by Turkeltaub, Peter E.
Citation: Neuroimage. 193:178-200, 2019 Feb 28..Journal: NeuroImage.Published: ; 2019ISSN: 1053-8119.Full author list: Tagarelli KM; Shattuck KF; Turkeltaub PE; Ullman MT.UI/PMID: 30826361.Subject(s): IN PROCESS -- NOT YET INDEXEDInstitution(s): MedStar National Rehabilitation NetworkActivity type: Journal Article.Medline article type(s): Journal ArticleDigital Object Identifier: https://dx.doi.org/10.1016/j.neuroimage.2019.02.061 (Click here) Abbreviated citation: Neuroimage. 193:178-200, 2019 Feb 28.Abstract: Language learning as an adult, though often difficult, is quite common. Nevertheless, the neural substrates of this process remain unclear, even though identifying them should clarify how language is learned and could lead to improved success at this endeavor. We addressed this gap by conducting multiple neuroanatomical meta-analyses to synthesize the functional neuroimaging literature of language learning. We focused on learning lexical and grammatical knowledge, two building blocks of language. Lexical and grammatical learning yielded overlapping activation in frontal (e.g., BA 44/45) and posterior parietal regions. Only lexical learning showed ventral occipito-temporal (ventral stream) activation, while only grammatical learning showed basal ganglia (anterior caudate/putamen) activation. To further elucidate the neurocognition of grammar learning, we also tested specific predictions of the declarative/procedural model of language. Consistent with the model, grammar learning predicted to rely especially on declarative memory (e.g., with explicit training) showed hippocampal involvement, while grammar learning predicted to rely particularly on procedural memory (e.g., with implicit training) showed anterior caudate/putamen involvement. Finally, given the prevalence of research on artificial grammars, we performed separate analyses of artificial grammar and non-artificial grammar (e.g., miniature language) paradigms. These yielded overlapping activation, especially in BA 44, underscoring the validity of artificial grammars as models for grammar learning in natural languages. In sum, the study elucidates the empirical and theoretical landscape of language learning and has applied implications.Abstract: Copyright (c) 2019 Elsevier Inc. All rights reserved.

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