Evidence map›Paper›PMID 38302499›Full record

ArticleNature communications2024

Brain asymmetries from mid- to late life and hemispheric brain age.

Max Korbmacher, Dennis van der Meer, Dani Beck, Ann-Marie G de Lange, Eli Eikefjord, Arvid Lundervold, Ole A Andreassen, Lars T Westlye, Ivan I Maximov

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
15.0field-weighted citation impact, top 1% 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

23 citing papers in PubMed, 37 citations in OpenAlex.

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  11. Charting structural brain asymmetry across the human lifespan.bioRxiv : the preprint server for biology · 2025
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  17. Learning-based inference of longitudinal image changes: Applications in embryo development, wound healing, and aging brain.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  18. Review
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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 at 3 institutions in 4 countries.

Max KorbmacherDepartment of Health and Functioning, Western Norway University of Applied Sciences, Bergen, Norway. max.korbmacher@hvl.no.ORCID 0000-0002-8113-2560
Dennis van der MeerNORMENT Centre for Psychosis Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway.
Dani BeckNORMENT Centre for Psychosis Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway.ORCID 0000-0002-0974-9304
Ann-Marie G de LangeNORMENT Centre for Psychosis Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway.
Eli EikefjordDepartment of Health and Functioning, Western Norway University of Applied Sciences, Bergen, Norway.
Arvid LundervoldMohn Medical Imaging and Visualization Centre (MMIV), Bergen, Norway.
Ole A AndreassenNORMENT Centre for Psychosis Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway.ORCID 0000-0002-4461-3568
Lars T WestlyeNORMENT Centre for Psychosis Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway.ORCID 0000-0001-8644-956X
Ivan I MaximovDepartment of Health and Functioning, Western Norway University of Applied Sciences, Bergen, Norway. ivan.maximov@hvl.no.ORCID 0000-0001-6319-6774
Oslo University Hospital · NOUniversity of Bergen · NOWestern Norway University of Applied Sciences · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human brain demonstrates structural and functional asymmetries which have implications for ageing and mental and neurological disease development. We used a set of magnetic resonance imaging (MRI) metrics derived from structural and diffusion MRI data in N=48,040 UK Biobank participants to evaluate age-related differences in brain asymmetry. Most regional grey and white matter metrics presented asymmetry, which were higher later in life. Informed by these results, we conducted hemispheric brain age (HBA) predictions from left/right multimodal MRI metrics. HBA was concordant to conventional brain age predictions, using metrics from both hemispheres, but offers a supplemental general marker of brain asymmetry when setting left/right HBA into relationship with each other. In contrast to WM brain asymmetries, left/right discrepancies in HBA are lower at higher ages. Our findings outline various sex-specific differences, particularly important for brain age estimates, and the value of further investigating the role of brain asymmetries in brain ageing and disease development.

Indexed as

Functional LateralityWhite MatterBrainDiffusion Magnetic Resonance ImagingFemaleHumansMagnetic Resonance ImagingMale

Identifiers

PMID38302499
PMCPMC10834516
OpenAlexW4391440477

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.