Evidence map›Paper›PMID 40909802›Full record

ArticleResearch square2025

Risk and protective factors associated with brain grey matter patterns in a population-based cohort of cognitively unimpaired 70-year-olds.

Giulia Lorenzon, Anna Marseglia, Konstantinos Poulakis, Camillo Imbimbo, Lina Rydén, Evangelos Galaris, Olof Lindberg, Sara Shams, Rosaleena Mohanty, Daniel Ferreira and 5 more

Abstract readPreprint
In one paragraph

Article in Research square, 2025. 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

5 · Who and what money

Authors and funding

15 authors.

Giulia LorenzonKarolinska Institutet.
Anna MarsegliaKarolinska Institutet.
Konstantinos PoulakisKarolinska Institutet.
Camillo ImbimboKarolinska Institutet.
Lina RydénUniversity of Gothenburg.
Evangelos GalarisKarolinska Institutet.
Olof LindbergKarolinska Institutet.
Sara ShamsKarolinska University Hospital, Karolinska Institutet.
Rosaleena MohantyKarolinska Institutet.
Daniel FerreiraKarolinska Institutet.
Miia KivipeltoKarolinska Institutet.
Maria EriksdotterKarolinska Institutet.
Silke KernUniversity of Gothenburg.
Ingmar SkoogUniversity of Gothenburg.
Eric WestmanKarolinska Institutet.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Aging involves heterogeneous brain grey matter (GM) loss patterns that may overlap with dementia-related changes. We evaluated cognitively unimpaired older adults to identify specific GM patterns, their clinical and cognitive profiles, and longitudinal trajectories. Methods: We analyzed 746 participants from the Gothenburg H70 Study using random forest clustering based on MRI measures of cortical thickness and subcortical volume across 41 regions. We examined associations with clinical and MRI variables, APOE status, and CSF Alzheimer biomarkers (n = 286), and assessed 5-year cognitive and brain trajectories using regression models. Results: Five clusters emerged, mainly differing in frontoparietal regions. Compared to Cluster 1 (reference), Cluster 2 showed diffuse GM loss, higher odds of diabetes (OR = 2.54, 95%CI [1.27-5.06]) and risk alcohol consumption (OR = 1.83, 95%CI [1.13-2.97]), poorer episodic memory (β=-0.190, p = 0.014) and visuospatial abilities (β =-0.209, p = 0.044), and greater longitudinal decline in MMSE (β Conclusions: Cardiovascular and psychosocial factors are key determinants of GM integrity and cognition. Targeting these risks factors may preserve brain health in late life.

Indexed as

Alzheimer diseaseBiomarkersBrain ageingCardiovascular risk factorsDementiaPrevention

Identifiers

PMID40909802
PMCPMC12408009

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.