Evidence map›Paper›PMID 33690853›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2021

Multimodal Image Analysis of Apparent Brain Age Identifies Physical Fitness as Predictor of Brain Maintenance.

Tora Dunås, Anders Wåhlin, Lars Nyberg, Carl-Johan Boraxbekk

Abstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–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

27 citing papers in PubMed.

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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.

Tora DunåsUmeå Center for Functional Brain Imaging (UFBI), Umeå University, S-901 87 Umeå, Sweden.ORCID 0000-0002-5911-9511
Anders WåhlinUmeå Center for Functional Brain Imaging (UFBI), Umeå University, S-901 87 Umeå, Sweden.
Lars NybergUmeå Center for Functional Brain Imaging (UFBI), Umeå University, S-901 87 Umeå, Sweden.
Carl-Johan BoraxbekkUmeå Center for Functional Brain Imaging (UFBI), Umeå University, S-901 87 Umeå, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maintaining a youthful brain structure and function throughout life may be the single most important determinant of successful cognitive aging. In this study, we addressed heterogeneity in brain aging by making image-based brain age predictions and relating the brain age prediction gap (BAPG) to cognitive change in aging. Structural, functional, and diffusion MRI scans from 351 participants were used to train and evaluate 5 single-modal and 4 multimodal prediction models, based on 7 regression methods. The models were compared on mean absolute error and whether they were related to physical fitness and cognitive ability, measured both currently and longitudinally, as well as study attrition and years of education. Multimodal prediction models performed at a similar level as single-modal models, and the choice of regression method did not significantly affect the results. Correlation with the BAPG was found for current physical fitness, current cognitive ability, and study attrition. Correlations were also found for retrospective physical fitness, measured 10 years prior to imaging, and slope for cognitive ability during a period of 15 years. The results suggest that maintaining a high physical fitness throughout life contributes to brain maintenance and preserved cognitive ability.

Indexed as

AdultAgedAged, 80 and overAgingBrainCognitionDiffusion Magnetic Resonance ImagingFemaleFunctional NeuroimagingHumansImage Processing, Computer-AssistedMachine LearningMagnetic Resonance ImagingMaleMiddle AgedPhysical Fitnessage predictionsbrain agingcognitionmultimodal MRIphysical fitness

Identifiers

PMID33690853
PMCPMC8196254

What OpenQuestion holds

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LicenceCC BY-NC
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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.