Evidence map›Paper›PMID 24982632›Full record

ArticleFrontiers in aging neuroscience2014

Cognitive reserve is associated with the functional organization of the brain in healthy aging: a MEG study.

María E López, Sara Aurtenetxe, Ernesto Pereda, Pablo Cuesta, Nazareth P Castellanos, Ricardo Bruña, Guiomar Niso, Fernando Maestú, Ricardo Bajo

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Electroencephalography, Magnetoencephalography, and Cognitive Reserve: A Systematic Review.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2021
    Pooled it
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  14. Electrophysiological Proxy of Cognitive Reserve Index.Frontiers in human neuroscience · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

María E LópezLaboratory of Cognitive and Computational Neuroscience (UCM-UPM), Centre for Biomedical Technology, Universidad Politécnica de Madrid Madrid, Spain ; Department of Basic Psychology II, Complutense University of Madrid Spain.
Sara AurtenetxeLaboratory of Cognitive and Computational Neuroscience (UCM-UPM), Centre for Biomedical Technology, Universidad Politécnica de Madrid Madrid, Spain ; Department of Basic Psychology II, Complutense University of Madrid Spain.
Ernesto PeredaGrupo de Ingeniería Eléctrica y Bioingeniería, Department of Industrial Engineering and Institute of Biomedical Technology, Universidad de La Laguna La Laguna, Tenerife.
Pablo CuestaLaboratory of Cognitive and Computational Neuroscience (UCM-UPM), Centre for Biomedical Technology, Universidad Politécnica de Madrid Madrid, Spain ; Department of Basic Psychology II, Complutense University of Madrid Spain.
Nazareth P CastellanosLaboratory of Cognitive and Computational Neuroscience (UCM-UPM), Centre for Biomedical Technology, Universidad Politécnica de Madrid Madrid, Spain.
Ricardo BruñaLaboratory of Cognitive and Computational Neuroscience (UCM-UPM), Centre for Biomedical Technology, Universidad Politécnica de Madrid Madrid, Spain.
Guiomar NisoLaboratory of Cognitive and Computational Neuroscience (UCM-UPM), Centre for Biomedical Technology, Universidad Politécnica de Madrid Madrid, Spain.
Fernando MaestúLaboratory of Cognitive and Computational Neuroscience (UCM-UPM), Centre for Biomedical Technology, Universidad Politécnica de Madrid Madrid, Spain ; Department of Basic Psychology II, Complutense University of Madrid Spain.
Ricardo BajoLaboratory of Cognitive and Computational Neuroscience (UCM-UPM), Centre for Biomedical Technology, Universidad Politécnica de Madrid Madrid, Spain ; Departamento de Matemáticas, Universidad Internacional de La Rioja (UNIR) Logroño, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The proportion of elderly people in the population has increased rapidly in the last century and consequently "healthy aging" is expected to become a critical area of research in neuroscience. Evidence reveals how healthy aging depends on three main behavioral factors: social lifestyle, cognitive activity, and physical activity. In this study, we focused on the role of cognitive activity, concentrating specifically on educational and occupational attainment factors, which were considered two of the main pillars of cognitive reserve (CR). Twenty-one subjects with similar rates of social lifestyle, physical and cognitive activity were selected from a sample of 55 healthy adults. These subjects were divided into two groups according to their level of CR; one group comprised subjects with high CR (9 members) and the other one contained those with low CR (12 members). To evaluate the cortical brain connectivity network, all participants were recorded by Magnetoencephalography (MEG) while they performed a memory task (modified version of the Sternberg's Task). We then applied two algorithms [Phase Locking Value (PLV) and Phase Lag Index (PLI)] to study the dynamics of functional connectivity. In response to the same task, the subjects with lower CR presented higher functional connectivity than those with higher CR. These results may indicate that participants with low CR needed a greater "effort" than those with high CR to achieve the same level of cognitive performance. Therefore, we conclude that CR contributes to the modulation of the functional connectivity patterns of the aging brain.

Indexed as

brain efficiencycognitive reservefunctional connectivityhealthy agingMEG

Identifiers

PMID24982632
PMCPMC4056015

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.