Evidence map›Paper›PMID 42765092›Full record

ArticleBrain communications2026

Long-term brain volume trajectories and lifestyle associations in cognitively normal adults: the BRAIN-STRIDE study.

Shohei Fujita, Susumu Mori, Kengo Onda, Shouhei Hanaoka, Yukihiro Nomura, Takahiro Nakao, Akifumi Hagiwara, Yasuhiro Hagiwara, Hidemasa Takao, Takeharu Yoshikawa and 1 more

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Article in Brain communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Shohei FujitaDepartment of Radiology, The University of Tokyo, Tokyo, 113-8655, Japan.ORCID https://orcid.org/0000-0003-4276-6226
Susumu MoriRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
Kengo OndaRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.ORCID https://orcid.org/0000-0002-3346-144X
Shouhei HanaokaDepartment of Radiology, The University of Tokyo, Tokyo, 113-8655, Japan.
Yukihiro NomuraDepartment of Computational Diagnostic Radiology and Preventive Medicine, The University of Tokyo Hospital, Tokyo, 113-8655, Japan.
Takahiro NakaoDepartment of Computational Diagnostic Radiology and Preventive Medicine, The University of Tokyo Hospital, Tokyo, 113-8655, Japan.
Akifumi HagiwaraDepartment of Radiology, The University of Tokyo, Tokyo, 113-8655, Japan.ORCID https://orcid.org/0000-0001-5277-3249
Yasuhiro HagiwaraDepartment of Biostatistics, School of Public Health, The University of Tokyo, Tokyo, 113-0033, Japan.ORCID https://orcid.org/0000-0003-3792-5368
Hidemasa TakaoDepartment of Radiology, The University of Tokyo, Tokyo, 113-8655, Japan.
Takeharu YoshikawaDepartment of Computational Diagnostic Radiology and Preventive Medicine, The University of Tokyo Hospital, Tokyo, 113-8655, Japan.
Osamu AbeDepartment of Radiology, The University of Tokyo, Tokyo, 113-8655, Japan.ORCID https://orcid.org/0000-0002-1180-2629

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain ageing is a major determinant of cognitive health, yet the extent of inter-individual variability in structural trajectories and its links to lifestyle factors remain incompletely understood. We conducted a single-centre, prospective longitudinal cohort study within an urban academic health screening programme in Japan (November 2006 to April 2021), with up to 15 years of follow-up. Among 10 209 individuals who underwent screening, those with more than 10 years of serial visits were eligible; 186 participants were excluded for major intracranial findings, 3 for cognitive decline during follow-up and 3 for contraindications or ineligibility, yielding 653 cognitively normal adults [207 women (31.6%); mean (SD) age at baseline, 55.1 (9.3) years]. Participants underwent serial magnetic resonance imaging and Mini-Mental State Examination, along with baseline assessments of lifestyle and vascular risk factors including body mass index, blood pressure, smoking exposure and lipid profile. Annual percentage change in whole-brain and regional volumes was estimated using linear mixed-effects models after harmonization for scanner effects, and participants were categorized as rapid atrophy, typical, or atrophy-resistant based on percentile thresholds. Across 7915 MRI scans, whole-brain volume decline accelerated from 0.24% per year in the 40s to 0.44% per year in the 70s. Individuals classified as having rapid atrophy in their 40s exhibited rates of decline of 0.46% per year, comparable to population averages in the 70s, whereas atrophy-resistant individuals in their 70s demonstrated rates as low as 0.27% per year. Faster whole-brain atrophy was associated with higher body mass index [

Indexed as

ageingbrain volumecognitionlifestylelongitudinal studies

Identifiers

PMID42765092
PMCPMC13590224

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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.