The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.
Language in the aging brain: The network dynamics of cognitive decline and preservation
Open accessAbstract
Language is a crucial and complex lifelong faculty, underpinned by dynamic interactions within and between specialized brain networks. Whereas normal aging impairs specific aspects of language production, most core language processes are robust to brain aging. We review recent behavioral and neuroimaging evidence showing that language systems remain largely stable across the life span and that both younger and older adults depend on dynamic neural responses to linguistic demands. Although some aspects of network dynamics change with age, there is no consistent evidence that core language processes are underpinned by different neural networks in younger and older adults.
Overview
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.
Integrity signals
Registry
Cites
Statistics
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The cortical organization of speech processing
Hickok, G., & Poeppel, D. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2113 · Cited by 5,495
A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains
Good, C. D., Johnsrude, I. S., Ashburner, J., Henson, R. N. A., Friston, K. J., & Frackowiak, R. S. J. (2001) · NeuroImage · doi:10.1006/nimg.2001.0786 · Cited by 4,561
Binder, J. R., Desai, R. H., Graves, W. W., & Conant, L. L. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhp055 · Cited by 4,060
The adaptive brain: aging and neurocognitive scaffolding
Park, D. C., & Reuter-Lorenz, P. (2009) · Annual Review of Psychology · doi:10.1146/annurev.psych.59.103006.093656 · Cited by 2,790
The spatial and temporal signatures of word production components
Indefrey, P., & Levelt, W. J. M. (2004) · Cognition · doi:10.1016/j.cognition.2002.06.001 · Cited by 2,144
Hemispheric asymmetry reduction in older adults: the HAROLD model
Cabeza, R. (2002) · Psychology and Aging · doi:10.1037/0882-7974.17.1.85 · Cited by 2,125
Hemispheric asymmetry reduction in older adults: The HAROLD model.
Cabeza, R. E. L. (2002) · Psychology and Aging · doi:10.1037//0882-7974.17.1.85 · Cited by 2,036
The handbook of aging and cognition
Craik, F. I. M., & Salthouse, T. A. (1992) · doi:10.4324/9781410601988 · Cited by 2,003
Principles of Frontal Lobe Function
(2002) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195134971.001.0001 · Cited by 1,665
Baltes, P. B., & Lindenberger, U. (1997) · Psychology and Aging · doi:10.1037//0882-7974.12.1.12 · Cited by 1,430
Cited by
Digital medicine and the curse of dimensionality
Berisha, V., Krantsevich, C., Hahn, P. R., Hahn, S., Dasarathy, G., Turaga, P., & Liss, J. (2021) · npj Digital Medicine · doi:10.1038/s41746-021-00521-5 · Cited by 344
fMRI reveals language-specific predictive coding during naturalistic sentence comprehension
Shain, C., Blank, I. A., van Schijndel, M., Schuler, W., & Fedorenko, E. (2020) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2019.107307 · Cited by 215
Beltrami, D., Gagliardi, G., Rossini Favretti, R., Ghidoni, E., Tamburini, F., & Calzà, L. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00369 · Cited by 175
Corona Hernández, H., Corcoran, C., Achim, A. M., de Boer, J. N., Boerma, T., Brederoo, S. G., Cecchi, G. A., Ciampelli, S., Elvevåg, B., Fusaroli, R., et al. (2023) · Schizophrenia Bulletin · doi:10.1093/schbul/sbac215 · Cited by 56
Ivanova, O., Martínez‐Nicolás, I., & Meilán, J. J. G. (2024) · International Journal of Language & Communication Disorders · doi:10.1111/1460-6984.12888 · Cited by 38
Metadata
- Authors
- Shafto, M. A., & Tyler, L. K.
- Venue
- Science
- Published
- 2014-10-31
- Volume
- 346
- Issue
- 6209
- Pages
- 583-587
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2013349363
- Cited by
- 362
- References
- 61
- FWCI
- 8.51
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Language in the aging brain: The network dynamics of cognitive decline and preservation. https://app.cochat.ai/papers/10.1126/science.1254404
- The paper
- Shafto, M. A., & Tyler, L. K. (2014). Language in the aging brain: The network dynamics of cognitive decline and preservation. Science. https://doi.org/10.1126/science.1254404
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.