Cited by 93Sleep and Wakefulness ResearchLanguage Development and DisordersReading and Literacy Development

Consolidation of vocabulary during sleep: The rich get richer?

Open access
James, Emma, Gaskell, M. Gareth, Weighall, Anna, Henderson, Lisa·2017·Neuroscience & Biobehavioral Reviews

Abstract

Sleep plays a role in strengthening new words and integrating them with existing vocabulary knowledge, consistent with neural models of learning in which sleep supports hippocampal transfer to neocortical memory. Such models are based on adult research, yet neural maturation may mean that the mechanisms supporting word learning vary across development. Here, we propose a model in which children may capitalise on larger amounts of slow-wave sleep to support a greater demand on learning and neural reorganisation, whereas adults may benefit from a richer knowledge base to support consolidation. Such an argument is reinforced by the well-reported "Matthew effect", whereby rich vocabulary knowledge is associated with better acquisition of new vocabulary. We present a meta-analysis that supports this association between children's existing vocabulary knowledge and their integration of new words overnight. Whilst multiple mechanisms likely contribute to vocabulary consolidation and neural reorganisation across the lifespan, we propose that contributions of existing knowledge should be rigorously examined in developmental studies. Such research has potential to greatly enhance neural models of learning.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.neubiorev.2017.01.054

Cites

18 of 18 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Sleep's role in procedural memory consolidation in children is less robust than its role in declarative memory.

    “While the role of sleep in procedural memory consolidation in children remains less robust compared to declarative memory, findings suggest potential but inconsistent benefits.”

    From Sleep and memory consolidation in healthy, neurotypical children, and adults: a summary of systematic reviews and meta-analyses. (2023) · cites this paper as [31]

    Section 3.2 reports sleep-related benefits for children's declarative memory and improved explicit recall after sleep from an implicitly learned motor sequence. The References section lists a study titled “Sleep in children improves memory performance on declarative but not procedural tasks,” but the review does not itself assess how robust procedural consolidation is relative to declarative consolidation across children. Its motor-task example concerns extraction of explicit knowledge, not improved procedural performance. (LLM, conf=0.78)

    Experimental — accuracy not yet measured
  • Similar findings (sleep aiding assimilation of new linguistic information) are observed with school-aged children.

    “Similar findings are observed with school-aged children [31]”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 34

  1. Ashworth, A., Hill, C. M., Karmiloff-Smith, A., & Dimitriou, D. (2014). Sleep enhances memory consolidation in children. Journal of Sleep Research, 23, 304-310.
  2. Bakker, I., Takashima, A., van Hell, J. G., Janzen, G., & McQueen, J. M. (2014). Competition from unseen or unheard novel words: Lexical consolidation across modalities. Journal of Memory and Language, 73, 116-130.
  3. Catts, H. W., Compton, D., Tomblin, J. B., & Bridges, M. S. (2012). Prevalence and nature of late-emerging poor readers. Journal of Educational Psychology, 104, 166.
  4. Clay, F., Bowers, J. S., Davis, C. J., & Hanley, D. A. (2007). Teaching adults new words: the role of practice and consolidation. Journal of Experimental Psychology: Learning, Memory, and Cognition, 33, 970.
  5. Coutanche, M. N., & Thompson-Schill, S. L. (2014). Fast mapping rapidly integrates information into existing memory networks. Journal of Experimental Psychology: General, 143, 2296.
  6. Davis, M. H., Di Betta, A. M., Macdonald, M. J., & Gaskell, M. G. (2009). Learning and consolidation of novel spoken words. Journal of Cognitive Neuroscience, 21, 803-820.
  7. Davis, M. H., & Gaskell, M. G. (2009). A complementary systems account of word learning: neural and behavioural evidence. Philosophical Transactions of the Royal Society of London B: Biological Sciences, 364, 3773-3800.
  8. Dimitriou, D., Karmiloff-Smith, A., Ashworth, A., & Hill, C. M. (2013). Impaired sleep-related learning in children with Williams syndrome. Pediatrics Research International Journal, 2013.
  9. Dumay, N., Gaskell, M. G., Feng, X., Forbus, K., Gentner, D., & Regier, T. (2004). A day in the life of a spoken word. Paper presented at the Proceedings of the Twenty-Sixth Annual Conference of the Cognitive Science Society.
  10. Gais, S., Mölle, M., Helms, K., & Born, J. (2002). Learning-dependent increases in sleep spindle density. The Journal of Neuroscience, 22, 6830-6834.
  11. Giedd, J. N., Vaituzis, A. C., Hamburger, S. D., Lange, N., Rajapakse, J. C., Kaysen, D., . . . Rapoport, J. L. (1996). Quantitative MRI of the temporal lobe, amygdala, and hippocampus in normal human development: ages 4-18 years. Journal of Comparative Neurology, 366, 223-230.
  12. Henderson, L., Weighall, A., & Gaskell, G. (2013b). Learning new vocabulary during childhood: Effects of semantic training on lexical consolidation and integration. Journal of Experimental Child Psychology, 116, 572-592.
  13. Hennies, N., Ralph, M. A. L., Kempkes, M., Cousins, J. N., & Lewis, P. A. (2016). Sleep Spindle Density Predicts the Effect of Prior Knowledge on Memory Consolidation. The Journal of Neuroscience, 36, 3799-3810.
  14. Horváth, K., Myers, K., Foster, R., & Plunkett, K. (2015b). Napping facilitates word learning in early lexical development. Journal of Sleep Research, 24, 503- 509.
  15. Kumaran, D., & McClelland, J. L. (2012). Generalization through the recurrent interaction of episodic memories: a model of the hippocampal system. Psychological Review, 119, 573.
  16. Kurth, S., Ringli, M., Geiger, A., LeBourgeois, M., Jenni, O. G., & Huber, R. (2010). Mapping of cortical activity in the first two decades of life: a high- density sleep electroencephalogram study. The Journal of Neuroscience, 30, 13211-13219.
  17. Mattys, S. L., & Clark, J. H. (2002). Lexical activity in speech processing: Evidence from pause detection. Journal of Memory and Language, 47, 343-359.
  18. McClelland, J. L. (2013). Incorporating rapid neocortical learning of new schema- consistent information into complementary learning systems theory. Journal of Experimental Psychology: General, 142, 1190.
  19. McClelland, J. L., McNaughton, B. L., & O'Reilly, R. C. (1995). Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory. Psychological Review, 102, 419.
  20. Mölle, M., Marshall, L., Gais, S., & Born, J. (2004). Learning increases human electroencephalographic coherence during subsequent slow sleep oscillations. Proceedings of the National Academy of Sciences of the United States of America, 101, 13963-13968.
  21. Moscovitch, M., Rosenbaum, R. S., Gilboa, A., Addis, D. R., Westmacott, R., Grady, C., . . . Winocur, G. (2005). Functional neuroanatomy of remote episodic, semantic and spatial memory: a unified account based on multiple trace theory. Journal of Anatomy, 207, 35-66.
  22. Nation, K., & Snowling, M. J. (1998). Semantic processing and the development of word-recognition skills: Evidence from children with reading comprehension difficulties. Journal of Memory and Language, 39, 85-101.
  23. Ngo, H.-V. V., Miedema, A., Faude, I., Martinetz, T., Mölle, M., & Born, J. (2015). Driving Sleep Slow Oscillations by Auditory Closed-Loop Stimulation-A Self-Limiting Process. The Journal of Neuroscience, 35, 6630-6638.
  24. Nicolas, A., Petit, D., Rompre, S., & Montplaisir, J. (2001). Sleep spindle characteristics in healthy subjects of different age groups. Clinical Neurophysiology, 112(3), 521-527.
  25. Østby, Y., Tamnes, C. K., Fjell, A. M., Westlye, L. T., Due-Tønnessen, P., & Walhovd, K. B. (2009). Heterogeneity in subcortical brain development: a structural magnetic resonance imaging study of brain maturation from 8 to 30 years. The Journal of Neuroscience, 29, 11772-11782.
  26. Ricketts, J., Bishop, D. V., & Nation, K. (2008). Investigating orthographic and semantic aspects of word learning in poor comprehenders. Journal of Research in Reading, 31, 117-135.
  27. Rodd, J. M., Cutrin, B. L., Kirsch, H., Millar, A., & Davis, M. H. (2013). Long-term priming of the meanings of ambiguous words. Journal of Memory and Language, 68, 180-198.
  28. Schreiner, T., & Rasch, B. (2016). The beneficial role of memory reactivation for language learning during sleep: A review. Brain and language.
  29. Scoville, W. B., & Milner, B. (1957). Loss of recent memory after bilateral hippocampal lesions. Journal of Neurology, Neurosurgery & Psychiatry, 20, 11-21.
  30. Stanovich, K. E. (1986). Matthew effects in reading: Some consequences of individual differences in the acquisition of literacy. Reading Research Quarterly, 360-407.
  31. Storkel, H. L., & Hoover, J. R. (2011). The influence of part-word phonotactic probability/neighborhood density on word learning by preschool children varying in expressive vocabulary. Journal of Child Language, 38(03), 628- 643.
  32. Stothard, S. E., & Hulme, C. (1995). A comparison of phonological skills in children with reading comprehension difficulties and children with decoding difficulties. Journal of Child Psychology and Psychiatry, 36, 399-408.
  33. Werchan, D. M., & Gómez, R. L. (2014). Wakefulness (not sleep) promotes generalization of word learning in 2.5-year-old children. Child Development, 85(2), 429-436.
  34. Wilhelm, I., Kurth, S., Ringli, M., Mouthon, A.-L., Buchmann, A., Geiger, A., . . . Huber, R. (2014). Sleep slow-wave activity reveals developmental changes in experience-dependent plasticity. The Journal of Neuroscience, 34, 12568- 12575.

Cited by

Sorted by citations

Authors
James, E., Gaskell, M. G., Weighall, A., & Henderson, L.
Affiliations
  • University of York (GB)
  • University of Leeds (GB)
Corresponding author
Henderson, Lisa
Venue
Neuroscience & Biobehavioral Reviews
Publisher
Elsevier BV
Published
2017-06
Volume
77
Pages
1-13
ISSN
0149-7634 (ISSN-L)
OpenAlex
W2592353186
Cited by
93
References
18
Citations by year
2026: 2 · 2025: 7 · 2024: 17 · 2023: 9 · 2022: 19 · 2021: 17 · 2020: 5 · 2019: 8 · 2018: 5 · 2017: 4
FWCI
0.67
Type
journal article
Language
en
Open access
Locations
  • Neuroscience & Biobehavioral Reviews (publishedVersion)
  • PubMed (publishedVersion)
  • White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
Funders
  • Leverhulme Trust
  • Economic and Social Research Council (ES/N009924/1)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Sleep and Wakefulness Research
  • Social Sciences › Psychology › Developmental and Educational Psychology › Language Development and Disorders
  • Social Sciences › Psychology › Developmental and Educational Psychology › Reading and Literacy Development
Keywords
vocabulary consolidation, sleep, slow-wave sleep, word learning, prior knowledge, Matthew effect, children, adults, lifespan development
MeSH terms
Humans, Learning, Memory, Sleep, Vocabulary, Knowledge

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review