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Find studies

Showing 176–200 of 218 studies with an author at National Hospital for Neurology and Neurosurgery (GB) (page 8 of 9) · 28,180 in the whole library · How the 0–100 score works

Download bibliography of these 218 studies, in this order: BibTeX (.bib) · RIS (.ris)

Browse by subject, author or institution

Each number is how many studies that link shows, with your other filters kept.

A note on reading research. One study is rarely the final word.

We try to note the size of a study, whether it was in humans or animals, and how early-stage the finding is. If a summary here doesn't make that clear, treat it with extra caution and check the original source.

Subtype and Stage Inference (SuStaIn) is an unsupervised learning algorithm that uniquely enables the identification of subgroups of individuals with distinct pseudo-temporal disease progression patterns from cross-sectional datasets. 4 key findings →

Design: cross-sectional Evidence: low

In vivo detection of microglial activation in frontotemporal dementia

✓ Peer-reviewed alzhub usefulness score 48 out of 100. Annals of neurology 2004-12-01

Using positron emission tomography and [(11)C](R)-PK11195, a marker of "peripheral benzodiazepine sites" that is upregulated on activated microglia during progressive tissue pathology, we show increased binding of [(11)C](R)-PK11195 in frontotemporal lobar degeneration in the typically affected frontotemporal brain regions. 2 key findings →

Evidence: low

Hearing impairment and dementia: cause, catalyst or consequence?

✓ Peer-reviewed alzhub usefulness score 48 out of 100. Journal of Neurology 2025-05-16

The relationship between hearing impairment and dementia has attracted significant attention, the 2024 Lancet Commission report identifying hearing loss as the largest modifiable risk factor for dementia from mid-life. 2 key findings →

Evidence: low

Quantitative susceptibility mapping reveals differences between subtypes of Lewy body dementia

✓ Peer-reviewed alzhub usefulness score 48 out of 100. Brain 2025-09-03

Dementia with Lewy bodies (DLB) and Parkinson's disease dementia (PDD) are subtypes of Lewy body dementia, and are considered two ends of a disease spectrum. 5 key findings →

Participants: 66 Evidence: low

These results show significant differences in neurogranin and total-tau between typical and atypical patients, which may relate to factors other than disease topography. 4 key findings →

Participants: 27 Evidence: low

Alzheimer's disease (AD) is recognized to have a long presymptomatic period, during which there is progressive accumulation of molecular pathology, followed by inexorable neuronal damage. 2 key findings →

Evidence: low

Amyloid deposition can take place in the walls of arteries, arterioles, and, less often, capillaries and veins of the central nervous system, a phenomenon known as cerebral amyloid angiopathy (CAA). 4 key findings →

Evidence: low

Salivary Biomarkers for Alzheimer's Disease and Related Disorders

✓ Peer-reviewed alzhub usefulness score 46 out of 100. Neurology and therapy 2019-12-12

The search for accessible and cost-effective biomarkers to complement current cerebrospinal fluid (CSF) and imaging biomarkers in the accurate detection of Alzheimer disease (AD) and other common neurodegenerative disorders remains a challenging task. 5 key findings →

Evidence: low

Alpha-synuclein (aSyn) post-translational modifications (PTM), especially phosphorylation at serine 129 and C-terminal truncations, are highly enriched in Lewy bodies (LB), Lewy neurites, and other pathological aggregates in Parkinson's disease and synucleinopathies. 1 key finding →

Evidence: low

The purpose of the present study was to investigate if cerebrospinal fluid (CSF) biomarkers of neurodegeneration are associated with cognition in bipolar disorder and healthy controls, respectively. 4 key findings →

Evidence: low

White matter abnormalities on magnetic resonance imaging (MRI) are associated with dementia and include white matter hyperintensities (WMH; also termed leukoaraiosis) and visible perivascular spaces (PVS). 2 key findings →

Evidence: low

Alzheimer disease (AD) is characterized by amyloid-β plaques (A), tau tangles (T), and neurodegeneration (N), collectively defining the ATN framework. 4 key findings →

Design: longitudinal study Evidence: moderate

The risk of delirium admissions was elevated for the first 1-30 days of prescriptions [IRR 1.54 (95% CI 1.30-1.82) for men, 1.44 (1.22-1.70) for women] and whilst reducing over time for women [1.10 (0.94-1.29) for 91-365 days of prescriptions], it remained elevated for men [1.38 (1.17-1.64)]. 5 key findings →

Participants: 293 Evidence: low

Sixteen affected individuals are described from two families with early onset autosomal dominant familial Alzheimer's disease. 3 key findings →

Evidence: low

The association between an AD-like signature using the established biomarkers Aβ42, T-tau, and P-tau with increased levels of NFL provides in vivo evidence of an association between AD and subcortical axonal degeneration in this uniquely large dataset of CSF samples tested for dementia biomarkers. 2 key findings →

Evidence: low

Despite variation and overlap of atrophy patterns, visual inspection of regional atrophy on MRI may aid in discriminating AD and FTLD. 1 key finding →

Evidence: low

Plasma glial fibrillary acidic protein (GFAP) has emerged as a promising biomarker of astrocytic reactivity in preclinical Alzheimer´s Disease (AD). 4 key findings →

Participants: 143 Evidence: low

= 0.71) longitudinally. YKL-40 associations with FW and FW-corrected fractional anisotropy were null. 4 key findings →

Design: cross-sectional Evidence: moderate

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Where “Free full text” comes from

Free full text links and the Full text may need a subscription label come from Unpaywall, Europe PMC and OpenAlex records of free copies, checked 10 Oct 2026. A study with neither is unknown, not paywalled. Show only studies that are free to read

How the 0–100 score works — and why some entries are capped

This is alzhub's own score. It is not an official metric, not an impact factor, and no journal, publisher or ranking body endorses it. We built it so that a reader who is not a scientist can tell a landmark trial from a conference abstract without having to already know the difference. Every point comes from one of 20 components, all of them printed on the study itself, so you can disagree with our arithmetic rather than having to trust the total.

  • Journal tier up to 10 pts
  • Journal's citation record up to 4 pts
  • Study design up to 12 pts
  • Strength of evidence up to 5 pts
  • Peer-review validation up to 10 pts
  • How recent up to 5 pts
  • Sample size up to 4 pts
  • Effect reported up to 3 pts
  • Studied in people up to 3 pts
  • Randomised / blinded up to 2 pts
  • Times cited up to 7 pts
  • Citations per year up to 5 pts
  • Impact for its field and year up to 6 pts
  • Cited by studies here up to 6 pts
  • Still being cited up to 4 pts
  • Senior author's track record up to 4 pts
  • Institution's track record up to 3 pts
  • Multi-centre collaboration up to 3 pts
  • Indexed in PubMed up to 2 pts
  • Free to read up to 2 pts

Journals are placed in ordered tiers, never given a numeric impact factor — we could not verify current impact factors from a source we control, and an invented one would be worse than none. Tier 1 is the top-tier general journals (NEJM, The Lancet, JAMA, Nature, Science, Nature Medicine); tier 2 is the leading specialty journals; tier 3 is every other peer-reviewed journal. A separate part scores how much the journal's own papers are cited, which tells the tier-3 journals apart.

Two rules we don't bend. First, we never fill in a missing value: if a record does not state a sample size or a design, that component scores zero, and if we simply have no data for a part, such as a citation count, that part is left out and the study is scored on the parts we could check. The study card says which. Second, anything that is not a peer-reviewed article is capped at 16/100 and carries a warning chip — so a conference abstract or a company press release can never outrank a peer-reviewed paper, no matter how good it looks.

We rank a rigorous null result — a good trial showing that something does not work — above an early positive finding. Someone deciding whether to buy a supplement is served by that, and the rigour is already counted by the design and journal components.

The score is computed from the published data alone and is reproducible: the same file always yields the same numbers.

See the whole rubric drawn out → — four charts covering all 28,180 studies: how the scores are spread and where the cap bites, which of the 20 components the library is strong and weak on, which subjects rest on stronger evidence, and what kinds of study each subject is actually built from.

What this library is — and isn't

This is a large sample of the Alzheimer's literature, not an exhaustive index of it. It holds 28,180 records, built mostly from automated pulls of Europe PMC (61.7% of the library) and OpenAlex (18.1%), plus smaller pulls from PubMed, Crossref and medRxiv. If a study, a drug, or a finding isn't here, that is not evidence it doesn't exist in the literature — it may simply not have been pulled in yet.

1,034 records (3.7% of the library) are not peer-reviewed — 962 of those are preprints posted before any journal review, and the rest are conference abstracts, regulatory notices and reports. Every study card on this page states its status plainly, and the score above is capped for anything that isn't a peer-reviewed article.

See the full, machine-readable breakdown of this library's coverage →

Newest studies, as a dated timeline →    Atom feed