Evidence map›Paper›PMID 32210453›Full record

ArticlePloS one2020

Cortical thickness and its associations with age, total cognition and education across the adult lifespan.

Christian Habeck, Yunglin Gazes, Qolamreza Razlighi, Yaakov Stern

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.2field-weighted citation impact, top 6% of its field
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

22 citing papers in PubMed, 38 citations in OpenAlex.

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  17. Educational attainment does not influence brain aging.Proceedings of the National Academy of Sciences of the United States of America · 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

4 authors at 1 institution in 1 country.

Christian HabeckCognitive Neuroscience Division, Department of Neurology, Columbia University Medical Center, New York, NY, United States of America.ORCID 0000-0001-9961-7446
Yunglin GazesCognitive Neuroscience Division, Department of Neurology, Columbia University Medical Center, New York, NY, United States of America.
Qolamreza RazlighiCognitive Neuroscience Division, Department of Neurology, Columbia University Medical Center, New York, NY, United States of America.
Yaakov SternCognitive Neuroscience Division, Department of Neurology, Columbia University Medical Center, New York, NY, United States of America.
Columbia University Irving Medical Center · US

Funding

Research Education CoreP30AG066462 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI James McCallum Noble · 2020 to 2026
$30.1M
Exploring Cognitive Aging Using Reference Ability Neural NetworksR01AG038465 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HABECK, CHRISTIAN GEORG, STERN, YAAKOV · 2011 to 2025
$17.0M
Imaging of Cognition, Learning and Memory in AgingR01AG026158 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI STERN, YAAKOV · 2004 to 2021
$10.9M
Exploring Cognitive Aging Using Refernce Ability Neural NetworksRF1AG038465 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HABECK, CHRISTIAN GEORG, STERN, YAAKOV · 2016 to 2018
$7.6M
Longitudinal changes in white matter integrity predicting cognitive changes in reasoning and vocabulary abilitiesK01AG051777 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GAZES, YUNGLIN · 2016 to 2020
$623k
NIA NIH HHS K01 AG051777NIA NIH HHS P30 AG066462NIA NIH HHS R01 AG026158NIA NIH HHS R01 AG038465NIA NIH HHS RF1 AG038465
6 · The paper itself

Abstract

Early-life education (years of schooling) has been investigated in regards to cognition, health outcomes and mortality. It has been shown to confer cognitive reserve that might lessen the impact of brain pathology and its impact on cognitive and motor functioning in a variety of neurodegenerative diseases and, for instance, to influence electrical activity [Begum, T., Reza, F., Ahmed, I., & Abdullah, J. M. (2014). Influence of education level on design-induced N170 and P300 components of event related potentials in the human brain. J Integr Neurosci, 13(1), 71-88. doi:10.1142/S0219635214500058]. On the other hand, demonstrations of a direct association between education and brain-structural measures have been more equivocal and scant. The current study sought to identify univariate cortical-thickness patterns underlying education and general intelligence after adjusting for age, gender and possible in-scanner movement in 353 individuals aged 40 to 80. We followed up this idea with multivariate analyses as well. For univariate analyses, our analyses yielded no robust associations between education and general intelligence beyond confounding effects of gender, age and extraneous in-scanner movement. A subsequent multivariate analyses showed a relationship between education and regional cortical thickness with a robust pattern of negative as well as positive loadings in several right-sided brain areas, speaking to a subtle but robust distributed effect of education on cortical thickness. Cortical thickness variance that is the residual of this education-related pattern was shown to be positively associated with age and extraneous in-scanner movement. Our study thus presents a complex picture of the association of education with regional cortical thickness: education was associated with a distributed brain-wide pattern of positive as well as negative loadings with unaccounted residuals being larger for older participants. Focal regional associations beyond demographic and age covariates were not identified.

Indexed as

CognitionEducational StatusLongevityAdultAgedCerebral CortexFemaleHumansMaleMiddle Aged

Identifiers

PMID32210453
PMCPMC7094839
OpenAlexW3013108048

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.