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Age-related changes in the neural networks supporting semantic cognition: A meta-analysis of 47 functional neuroimaging studies

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Original languageEnglish
Pages (from-to)134-150
JournalNeuroscience and Biobehavioral Reviews
Volume84
Early online date26 Nov 2017
DOIs
Publication statusPublished - Jan 2018

Abstract

Semantic cognition is central to understanding of language and the world and, unlike many cognitive domains, is thought to show little age-related decline. We investigated age-related differences in the neural basis of this critical cognitive domain by performing an activation likelihood estimation (ALE) meta-analysis of functional neuroimaging studies comparing young and older people. On average, young people outperformed their older counterparts during semantic tasks. Overall, both age groups activated similar left-lateralised regions. However, older adults displayed less activation than young people in some elements of the typical left-hemisphere semantic network, including inferior prefrontal, posterior temporal and inferior parietal cortex. They also showed greater activation in right frontal and parietal regions, particularly those held to be involved in domain-general controlled processing, and principally when they performed more poorly than the young. Thus, semantic processing in later life is associated with a shift from semantic-specific to domain-general neural resources, consistent with the theory of neural dedifferentiation, and a performance-related reduction in prefrontal lateralisation, which may reflect a response to increased task demands.

    Research areas

  • semantic memory, fMRI, multiple demand network, default mode network

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