Cited by 271Dementia and Cognitive Impairment ResearchCognitive Abilities and TestingCognitive Functions and Memory

Measuring cognitive reserve based on the decomposition of episodic memory variance

Open access
Reed, B. R., Mungas, D., Farias, S. T., Harvey, D., Beckett, L., Widaman, K., Hinton, L., DeCarli, C.·2010·Brain

Abstract

In later adulthood brain pathology becomes common and trajectories of cognitive change are heterogeneous. Among the multiple determinants of late-life cognitive course, cognitive reserve has been proposed as an important factor that modifies or buffers the impact of brain pathology on cognitive function. This article presents and investigates a novel method for measuring and investigating such factors. The core concept is that in a population where pathology is common and variably present, 'reserve' may be defined as the difference between the cognitive performance predicted by an individual's level of pathology and that individual's actual performance. By this definition, people whose measured cognitive performance is better than predicted by pathology have high reserve, whereas those who perform worse than predicted have low reserve. To test this hypothesis, we applied a latent variable model to data from a diverse ageing cohort and decomposed the variance in a measure of episodic memory into three components, one predicted by demographics, one predicted by pathology as measured by structural MRI and a 'residual' or 'reserve' term that included all remaining variance. To investigate the plausibility of this approach, we then tested the residual component as an operational measure of reserve. Specific predictions about the effects of this putative reserve measure were generated from a general conceptual model of reserve. Each was borne from the results. The results show that the current level of reserve, as measured by this decomposition approach, modifies rates of conversion from mild cognitive impairment to dementia, modifies rates of longitudinal decline in executive function and, most importantly, attenuates the effect of brain atrophy on cognitive decline such that atrophy is more strongly associated with cognitive decline in subjects with low reserve than in those with high reserve. Decomposing the variance in cognitive function scores offers a promising new approach to the measure and study of cognitive reserve.

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 · 10.1093/brain/awq154

Cites

108 of 108 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?

  • When adults with high reserve eventually show cognitive decline, they decline at a rapid rate.

    “However, it has been observed that when adults with high levels of reserve, as indicated by one or more reserve proxies, do eventually display cognitive decline, they do so at a rapid rate 69.”

    From Maintenance, reserve and compensation: the cognitive neuroscience of healthy ageing (2018) · cites this paper as [69]

    The Hypothesis 4 results report that higher baseline reserve predicted slower, not faster, decline in executive function. The Discussion likewise says higher reserve was associated with less decline. The paper does not report a separate analysis of decline after its onset that would support the citing sentence's qualification. (LLM, conf=0.81)

    Checked by a reasoning model — may be wrong.

    Experimental — accuracy not yet measured

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: 1

  1. [70]70. Muthe ´n LK, Muthe ´n BO. Mplus User's Guide. Fifth Edition. Los Angeles, CA: Muthe ´n & Muthe ´n; 2007.

Cited by

Sorted by citations

Authors
Reed, B. R., Mungas, D., Farias, S. T., Harvey, D., Beckett, L., Widaman, K., Hinton, L., & DeCarli, C.
Affiliations
  • VA Northern California Health Care System (US)
  • University of California, Davis (US)
Venue
Brain
Published
2010-06-30
Volume
133
Issue
8
Pages
2196-2209
ISSN
  • 0006-8950 (ISSN-L)
  • 1460-2156
OpenAlex
W2128035066
Cited by
271
References
108
Citations by year
2026: 19 · 2025: 15 · 2024: 23 · 2023: 23 · 2022: 21 · 2021: 32 · 2020: 20 · 2019: 25 · 2018: 15 · 2017: 13 · 2016: 9 · 2015: 12 · 2014: 8 · 2013: 15 · 2012: 10
FWCI
7.87
Type
journal article
Language
en
Open access
Locations
  • Brain (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • California Department of Public Health
  • National Institute on Aging (AG021028, AG 10220, P30AG010129, R01AG021028, AG031563, AG-10129, R01AG010220, R01AG031563)
  • National Institute of Neurological Disorders and Stroke (R01NS017950)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
Keywords
cognitive reserve, episodic memory, variance decomposition, latent variable models, brain atrophy, mild cognitive impairment, conversion to dementia, executive function decline, cognitive decline, neuropathology, later adulthood, structural MRI
MeSH terms
Aged, Aging, Brain, Cognition, Cognition Disorders, Data Interpretation, Statistical, Dementia, Female, Follow-Up Studies, Hippocampus, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Male, Memory, Memory Disorders, Models, Psychological, Neuropsychological Tests, Organ Size, Executive Function

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