Abstract

ObjectivesThis study investigated the best predictor to capture age-related changes in passive-sentence production using a constrained sentence-production paradigm and explored the role of working-memory capacity in relation to the task demands of the sentence-production tasks.MethodsA total of 60 participants participated in the study ranging in age from 21 to 86. All were administered a syntactic-priming and a sentence-completion task under either canonical or noncanonical word-order conditions.ResultsAge was significantly and negatively correlated with sentence-production tasks, and the most demanding condition with a noncanonical word order under the syntactic priming paradigm was the best predictor of aging. Working-memory capacity was significantly and positively correlated with all conditions, but the significant correlation remained only for the most demanding condition (the priming task with a noncanonical word order) after controlling for age.DiscussionSentence-production abilities were vulnerable to aging, and these effects manifested most clearly when the task demands were high enough to tax individuals’ cognitive capacity. Working-memory capacity partially accounted for age-related changes in sentence-production abilities.

Highlights

  • Age-related differences in sentence production and their underlying cognitive mechanisms have received increasing attention

  • Sentence-production abilities were vulnerable to aging, and these effects manifested most clearly when the task demands were high enough to tax individuals’ cognitive capacity

  • Working-memory capacity partially accounted for age-related changes in sentence-production abilities

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Summary

Objectives

This study investigated the best predictor to capture age-related changes in passive-sentence production using a constrained sentence-production paradigm and explored the role of working-memory capacity in relation to the task demands of the sentence-production tasks. University of Texas Health Science Center at San Antonio, Research Imaging Institute, UNITED STATES

Methods
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