Evidence map›Paper›PMID 42454584›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2026

Deep learning-based MRI analysis reveals Lewy body co-pathology accelerates brain aging in Alzheimer's disease.

Babak Ahmadi, Melissa Armstrong, Breton M Asken, Mostafa Reisi-Gahrooei, Abbas Babajani-Feremi, Alzheimer's Disease Neuroimaging Initiative, Australian Imaging Biomarkers and Lifestyle flagship study of ageing

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Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Babak AhmadiDepartment of Industrial and Systems Engineering, University of Florida, Gainesville, Florida, USA.
Melissa ArmstrongDepartment of Neurology, University of Florida, Gainesville, Florida, USA.
Breton M AskenDepartment of Clinical and Health Psychology, University of Florida, Gainesville, Florida, USA.
Mostafa Reisi-GahrooeiDepartment of Industrial and Systems Engineering, University of Florida, Gainesville, Florida, USA.
Abbas Babajani-FeremiDepartment of Neurology, University of Florida, Gainesville, Florida, USA.
Alzheimer's Disease Neuroimaging Initiative
Australian Imaging Biomarkers and Lifestyle flagship study of ageing

Funding

Mangurian-Fixel-McKnight Collaboration
6 · The paper itself

Abstract

introductionLewy body (LB) co-pathology is common in Alzheimer's disease (AD), yet its in vivo impact on neurodegeneration remains unclear.

methodsWe trained a 3D-DenseNet on multi-cohort T1-weighted magnetic resonance imaging (MRI) from cognitively unimpaired individuals to estimate brain age (BA) and applied it to cognitively impaired Alzheimer's Disease Neuroimaging Initiative (ADNI) participants stratified by cerebrospinal fluid (CSF) p-tau

resultsThe model robustly captured normative aging. AD+LB+ exhibited the greatest and fastest-increasing BAG, with saliency maps emphasizing regions that also showed steeper longitudinal atrophy and concordant cognitive decline, and BAG mediated a substantial portion of LB-related cognitive impairment within AD+. DISCUSSION: LB co-pathology confers an additional neurodegenerative burden in AD, underscoring the importance of combined biomarker assessment and targeted interventions.

Indexed as

AgingAlzheimer DiseaseBrainDeep LearningLewy BodiesLewy Body DiseaseMagnetic Resonance ImagingAgedAged, 80 and overalpha-SynucleinAmyloid beta-PeptidesAtrophyCognitive DysfunctionFemaleHumansMalealpha-SynucleinAmyloid beta-PeptidesAlzheimer's diseasebrain agebrain age gapcognitive declinecognitive impairmentco‐pathologydeep learningLewy bodyMRIneurodegenerationneurodegenerative burdenα‐synuclein

Identifiers

PMID42454584
PMCPMC13370797

What Socratic holds

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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 Socratic graph.