Evidence map›Paper›PMID 41017012›Full record

ArticleBrain imaging and behavior2025

Cognitive profiles among dementia-free older adults and their associations with neuroimaging markers.

Alice Hahn, Heather Volk, Corinne Pettigrew, Andreia Faria, Murat Bilgel, Hanzhang Lu, Michael Miller, Marilyn Albert, Anja Soldan, BIOCARD Research Team

Abstract read
In one paragraph

Article in Brain imaging and behavior, 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

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

10 authors.

Alice HahnDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. ahahn10@jhu.edu.ORCID http://orcid.org/0000-0001-7688-8198
Heather VolkDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Corinne PettigrewDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Andreia FariaDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Murat BilgelLaboratory of Behavioral Neuroscience, Intramural Research Program, National Institute on Aging, Baltimore, MD, USA.
Hanzhang LuDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Michael MillerDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Marilyn AlbertDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Anja SoldanDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
BIOCARD Research Team

Funding

Project 2 MeasurementU19AG033655 · NIA · JOHNS HOPKINS UNIVERSITY · PI MARILYN S. ALBERT · 2014 to 2026
$51.5M
'T V ASSESSMENT - MEMORY DISORDERED PATIENTS'P50AG005146 · NIA · JOHNS HOPKINS UNIVERSITY · PI ALBERT, MARILYN S. · 1985 to 2019
$37.6M
Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI MARILYN S. ALBERT · 2020 to 2026
$29.3M
TRD 4: Platforms for multi-modal and multi-scale imaging dataP41EB031771 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI Hanzhang Lu, Peter CM Van Zijl · 2021 to 2026
$9.9M
Research Training in Age-Related Cognitive DisordersT32AG027668 · NIA · JOHNS HOPKINS UNIVERSITY · PI MARILYN S. ALBERT · 2007 to 2026
$6.3M
NIA NIH HHS P30 AG066507NIA NIH HHS P50 AG005146NIA NIH HHS T32 AG027668NIA NIH HHS U19 AG033655NIBIB NIH HHS P41 EB031771NIH HHS T32-AG027668NIH HHS U19-AG033655
6 · The paper itself

Abstract

Prior studies have demonstrated the existence of cognitively-defined subgroups among dementia free older adults, however, it is unclear whether such subgroups are characterized by distinct neuroimaging measures of brain function and structure. To address this gap, the current study used latent profile analysis (LPA) to identify cognitively-defined subgroups in a sample of 167 (mean age = 69 years) dementia-free older adults with cognitive testing, amyloid PET, and multimodal brain MRI scans. The cognitive test scores covered the domains of episodic memory, executive function, language, and visuospatial processing. Linear regression models tested the associations between subgroup membership and neuroimaging measures, adjusting for age, sex, and years of education. Based on the LPA, three cognitive subgroups were identified: (1) high-average cognition (n = 61, 36%), (2) average cognition (n = 88, 53%), and low-average cognition (n = 18, 11%). Compared to the high-average group, the low-average group had lower volumes in cortical regions sensitive to Alzheimer's disease, lower global white matter microstructural integrity measured by diffusion tensor imaging, and higher global white matter hyperintensity burden. There were no group differences in global PET amyloid burden. Additionally, the high-average group tended to have higher resting-state functional connectivity within large-scale cognitive networks than the other two groups. These results suggest that cognitively-defined subgroups among older adults without dementia are associated with several measures of brain structure and function. Evaluating brain structure/function differences among dementia-free older adults may help identify individuals at greatest risk for future cognitive decline.

Indexed as

BrainCognitionAgedAged, 80 and overDementiaDiffusion Tensor ImagingExecutive FunctionFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeuroimagingNeuropsychological TestsPositron-Emission TomographyWhite MatterAlzheimer’s diseaseCognitionLatent profile analysisNeuroimaging

Identifiers

PMID41017012
PMCPMC12688011

What OpenQuestion holds

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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.