Evidence map›Paper›PMID 42469559›Full record

ReviewJournal of neural transmission (Vienna, Austria : 1996)2026

Neuropathological correlates of imaging in dementia with Lewy bodies.

Lauren Walker, Johannes Attems, Paul Donaghy

Abstract readReview
In one paragraph

Review in Journal of neural transmission (Vienna, Austria : 1996), 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

3 authors.

Lauren WalkerSchool of Health and Life Sciences, Middlesbrough Tower, Teesside University, Middlesbrough, TS1 3BB, UK. Lauren.walker@tees.ac.uk.
Johannes AttemsTranslational and Clinical Research Institute and NIHR Newcastle Biomedical Research Centre, Newcastle University, Newcastle upon Tyne, UK.
Paul DonaghyTranslational and Clinical Research Institute and NIHR Newcastle Biomedical Research Centre, Newcastle University, Newcastle upon Tyne, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dementia with Lewy bodies (DLB) is a common yet underdiagnosed neurodegenerative dementia, characterised neuropathologically by nigrostriatal dopaminergic degeneration and widespread α-synuclein aggregation. Clinical diagnosis remains challenging due to marked heterogeneity in presentation and substantial overlap with Alzheimer's disease (AD), resulting in diagnostic delays and frequent misdiagnosis. The ability to identify underlying pathological processes ante-mortem is essential to improve diagnostic accuracy, refine prognosis, stratify patients for clinical trials, and ultimately enable personalised therapeutic approaches. Over recent decades, major advances have been made in the development of neuroimaging biomarkers that reflect key features in Lewy body disease pathology, many of which have informed diagnostic criteria. In addition to dopaminergic dysfunction and α-synuclein pathology, co-existing neuropathologies including amyloid-β, tau, neuroinflammation, and vascular changes are increasingly recognised as important modifiers of clinical phenotype and disease trajectory in DLB. This review summarises the current landscape of neuroimaging modalities in DLB and critically examines their relationships with confirmed neuropathological correlates. We discuss indicative biomarkers such as striatal dopamine imaging and

Indexed as

BrainLewy Body DiseaseNeuroimagingalpha-SynucleinBiomarkersDopaminergic ImagingHumansalpha-SynucleinBiomarkersAutoradiographyDementia with Lewy bodiesNeuroimagingNeuropathology

Identifiers

PMID42469559
PMCPMC13545117

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Registered trials

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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.