Executive Resources Shape the Impact of Language Predictability Across the Adult Lifespan

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.

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Publication Details

Journal
eLife
Published
2025-09-19
DOI
https://doi.org/10.7554/elife.108176.1
Primary Topic
Neurobiology of Language and Bilingualism
Type
article
Field-Weighted Citation Impact
0.00
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article

Executive Resources Shape the Impact of Language Predictability Across the Adult Lifespan

Lea‐Maria Schmitt, Sarah Tune, Gesa Hartwigsen, Sandra Martin et al.
eLife
Neurobiology of Language and Bilingualism
article

Executive Resources Shape the Impact of Language Predictability Across the Adult Lifespan

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

Abstract

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.

eLife
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)
Openalex Percentile: Top 75%
Neurobiology of Language and Bilingualism
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