Executive resources shape the impact of language predictability across the adult lifespan

Humans routinely anticipate upcoming language, but whether such predictions come at a cognitive cost remains debated. In this study, we demonstrate the resource-dependent nature of predictive mechanisms in language comprehension across the lifespan: Experimentally limiting executive resources through a concurrent task reduces the effect of language predictability on reading time. Participants ( N = 175, replication N = 96) read short articles presented word-by-word while completing a secondary font colour n -back task, thus varying cognitive demand. Language predictability was indexed by word surprisal as derived from a pre-trained large language model (GPT-2). Across two independent samples, our findings reveal that language predictions are not cost-free: They draw on executive control resources, and this dependency becomes more pronounced with age (18–85 years). These results help resolve the debate over cognitive demands in language comprehension and highlight prediction as a dynamic, resource-dependent process across the lifespan.

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Publication Details

Journal
eLife
Published
2026-01-28
DOI
https://doi.org/10.7554/elife.108176.3
Primary Topic
Neurobiology of Language and Bilingualism
Type
article
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article

Executive resources shape the impact of language predictability across the adult lifespan

Sandra Martin, Jonas Obleser, Gesa Hartwigsen, Lea-Maria Schmitt et al.
eLife
Neurobiology of Language and Bilingualism
article

Executive resources shape the impact of language predictability across the adult lifespan

Sandra Martin, Jonas Obleser, Gesa Hartwigsen, Lea-Maria Schmitt, Sarah Tune, Merle Marie Schuckart
article en

Abstract

Humans routinely anticipate upcoming language, but whether such predictions come at a cognitive cost remains debated. In this study, we demonstrate the resource-dependent nature of predictive mechanisms in language comprehension across the lifespan: Experimentally limiting executive resources through a concurrent task reduces the effect of language predictability on reading time. Participants ( N = 175, replication N = 96) read short articles presented word-by-word while completing a secondary font colour n -back task, thus varying cognitive demand. Language predictability was indexed by word surprisal as derived from a pre-trained large language model (GPT-2). Across two independent samples, our findings reveal that language predictions are not cost-free: They draw on executive control resources, and this dependency becomes more pronounced with age (18–85 years). These results help resolve the debate over cognitive demands in language comprehension and highlight prediction as a dynamic, resource-dependent process across the lifespan.

eLifeVol. 14
Radboud University Nijmegen (NL), Max Planck Institute for Human Cognitive and Brain Sciences (DE), Institute of Psychology, Chinese Academy of Sciences (CN), Leipzig University (DE), University of Lübeck (DE)
Quality Education
Openalex Percentile: Top 76%
Neurobiology of Language and Bilingualism
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Executive resources shape the impact of language predictability across the adult lifespan — Sandra Martin, Jonas Obleser, et al. · eLife (2026) | TGRS Research Map | TGRS