Evidence map›Paper›PMID 41408633›Full record

ArticleBMC medicine2025

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

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

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Giulia LorenzonDivision of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institutet, Huddinge, 141 52, Sweden. giulia.lorenzon@ki.se.
Anna MarsegliaDivision of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institutet, Huddinge, 141 52, Sweden.
Konstantinos PoulakisDivision of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institutet, Huddinge, 141 52, Sweden.
Camillo ImbimboDivision of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institutet, Huddinge, 141 52, Sweden.
Lina RydénNeuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, 431 39, Sweden.
Evangelos GalarisDivision of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institutet, Huddinge, 141 52, Sweden.
Olof LindbergDivision of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institutet, Huddinge, 141 52, Sweden.
Sara ShamsDepartment of Radiology, The Institution for Clinical Neuroscience, Karolinska University Hospital, Karolinska Institutet, Stockholm, 171 76, Sweden.
Rosaleena MohantyDivision of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institutet, Huddinge, 141 52, Sweden.
Daniel FerreiraDivision of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institutet, Huddinge, 141 52, Sweden.
Miia KivipeltoDivision of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institutet, Huddinge, 141 52, Sweden.
Maria EriksdotterDivision of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institutet, Huddinge, 141 52, Sweden.
Silke KernNeuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, 431 39, Sweden.
Ingmar Skoog *Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, 431 39, Sweden.
Eric Westman *Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institutet, Huddinge, 141 52, Sweden. eric.westman@ki.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAgeing involves heterogeneous brain grey matter (GM) 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.

methodsWe analysed 746 participants from the Gothenburg H70 study using random forest cross-sectional clustering based on MRI measures of cortical thickness and subcortical volume across 41 regions. Using regression-based models, we examined associations with clinical, MRI variables, biochemical, and CSF Alzheimer biomarkers (n = 286) and assessed 5-year longitudinal cognitive and brain trajectories.

resultsFive 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 at-risk alcohol consumption (OR = 1.83, 95% CI [1.13-2.97]), poorer episodic memory (β =  - 0.19, p = 0.014) and visuospatial abilities (β =  - 0.21, p = 0.044), and greater longitudinal decline in MMSE (β

conclusionsCardiovascular and psychosocial factors influence GM integrity, which in turn relates to cognition. Targeting these risk factors may preserve brain health in late life.

Indexed as

AgingBrainCognitionGray MatterAgedAged, 80 and overCohort StudiesCross-Sectional StudiesFemaleHumansLongitudinal StudiesMagnetic Resonance ImagingMaleProtective FactorsRisk FactorsAlzheimer diseaseBiomarkersBrain ageingCardiovascular risk factorsDementiaGrey matter patternsPreventionUnsupervised clustering

Identifiers

PMID41408633
PMCPMC12822138

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.