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Cited by 915

The DOI matches its Crossref record; 95 of the 95 references it cites were found in a registry or an index.

Efficiency, capacity, compensation, maintenance, plasticity: emerging concepts in cognitive reserve

Open access
Barulli, Daniel, Stern, Yaakov·2013·Trends in Cognitive Sciences

Abstract

Cognitive reserve (CR) is a concept meant to account for the frequent discrepancy between an individual’s measured level of brain pathology and her expected cognitive performance. It is particularly important within the context of aging and dementia, but has wider applicability to all forms of brain damage. As such, it has intimate links to related compensatory and neuroprotective concepts, as well as to the related notion of brain reserve. In this article, we introduce the concept of cognitive reserve and explicate its potential cognitive neural implementation. We conclude that cognitive reserve is compatible and complementary with many related concepts, but that each much draw sharper conceptual boundaries in order to truly explain preserved cognitive function in the face of aging or brain damage.

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Crossref · 10.1016/j.tics.2013.08.012

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Metadata

Authors
Barulli, D., & Stern, Y.
Venue
Trends in Cognitive Sciences
Publisher
Elsevier BV
Published
2013-10
Volume
17
Issue
10
Pages
502-509
ISSN
1364-6613 (ISSN-L)
OpenAlex
W2117971276
Cited by
915
References
95
FWCI
5.61
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Efficiency, capacity, compensation, maintenance, plasticity: emerging concepts in cognitive reserve. https://app.cochat.ai/papers/10.1016/j.tics.2013.08.012
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Barulli, D., & Stern, Y. (2013). Efficiency, capacity, compensation, maintenance, plasticity: emerging concepts in cognitive reserve. Trends in Cognitive Sciences. https://doi.org/10.1016/j.tics.2013.08.012

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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.