Evidence map›Paper›PMID 42639119›Full record

ReviewFrontiers in aging neuroscience2026

Network hierarchy in Alzheimer's and Lewy body spectrum disorders: functional gradients, cognitive phenotypes, and translational gaps.

Yujian Liu, Tianjiao Lv, Yuan Li

Abstract readReview
In one paragraph

Review in Frontiers in aging neuroscience, 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.

Yujian LiuDepartment of Radiology, Zigong First People's Hospital, Zigong, China.
Tianjiao LvDepartment of Radiology, Zigong First People's Hospital, Zigong, China.
Yuan LiDepartment of Ultrasound, Zigong Fourth People's Hospital, Zigong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dementia syndromes alter cortical hierarchy in addition to individual brain regions. Functional connectivity gradients offer a continuous, low-dimensional framework for examining these hierarchy-level changes. This focused structured narrative review combines a transparent evidence audit with a candidate-target comparative framework for evaluating gradient evidence in Alzheimer's disease (AD) and Lewy body spectrum disorders, including dementia with Lewy bodies and Parkinson's disease dementia. The evidence is asymmetric. AD has comparatively direct evidence for metric-specific change at the default-mode/transmodal end of the principal cortical gradient, whereas Lewy body disease has sparse and partly negative direct functional-gradient evidence. The review defines evidence tiers and eligibility rules for translating conventional functional-connectivity findings into testable gradient hypotheses, and applies them to the Lewy body literature. This framework is intended to improve evidence appraisal when emerging neuroimaging methods are applied to heterogeneous disease populations. Current data support metric-specific principal-gradient change and transmodal dedifferentiation in AD. In Lewy body disease, posterior cortical, attention, salience, and control-network findings remain FC-derived candidate targets for direct testing. The review also addresses gradient-estimation methods, disease-specific confounds, mixed pathology, brain-behavior associations, and validation standards. Gradient measures are not proposed as ready clinical biomarkers. Instead, the review specifies the evidence required to determine whether hierarchy-axis phenotyping adds value beyond conventional connectivity, atrophy, and molecular biomarkers.

Indexed as

Alzheimer’s diseasecortical hierarchydementia with Lewy bodiesevidence asymmetryfunctional connectivity gradientsParkinson’s disease dementiavisual hallucinations

Identifiers

PMID42639119
PMCPMC13500640

What OpenQuestion holds

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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.