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Find studies

Showing 1–25 of 49 studies in Biomarkers scoring ≥ 67 out of 100 · tagged Brain Scans (page 1 of 2) · 32,180 in the whole library · How the 0–100 score works

Download bibliography of these 49 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.

What “Biomarkers” covers

Biomarkers — Measurable signals in blood, brain scans or spinal fluid that can indicate Alzheimer's changes.

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.

The finalized AU-ARROW protocol is expected to allow development of an evidence-based innovative treatment plan to reduce cognitive decline and dementia risk, and effective transfer of research outcomes into Australian health policy. 5 key findings →

Design: randomized controlled trial Participants: 600 Evidence: high

Plasma Aβ40 values might not distinguish between PET (+) and PET (-) people. 2 key findings →

Design: meta-analysis Participants: 3,047 Evidence: high

Blood-based biomarkers (BBM) are becoming easily detectable tools to reveal pathological changes in Alzheimer's disease (AD). 1 key finding →

Design: systematic review Participants: 33 Evidence: high

Prospective biomarkers of Alzheimer's disease: A systematic review and meta-analysis

✓ Peer-reviewed alzhub usefulness score 79 out of 100. Ageing research reviews 2022-07-26

CSF Aβ42, t-tau, p-tau, tau/Aβ42; peripheral blood t-tau, Aβ42/Aβ40, NFL; whole, left and right HV, EC volume, MTA, 18 F-FDG PET, 11 C-PIB PET; APOE ε4 may be promising prospective biomarkers for AD progression. 3 key findings →

Design: meta-analysis Participants: 70 Evidence: high

Discriminative Accuracy of Plasma Phospho-tau217 for Alzheimer Disease vs Other Neurodegenerative Disorders

✓ Peer-reviewed alzhub usefulness score 77 out of 100. JAMA 2020-08-01

Mean age was 83.5 (SD, 8.5) years in cohort 1, 69.1 (SD, 10.3) years in cohort 2, and 35.8 (SD, 10.7) years in cohort 3; 38% were women in cohort 1, 51% in cohort 2, and 57% in cohort 3. 4 key findings →

Design: cross-sectional Participants: 301 Evidence: moderate

Association of Amyloid and Tau With Cognition in Preclinical Alzheimer Disease: A Longitudinal Study

✓ Peer-reviewed alzhub usefulness score 77 out of 100. JAMA neurology 2019-08-01

An antecedent rise in Aβ was associated with subsequent changes in tau (1.07 flortaucipir standardized uptake value ratios [SUVr]/PiB-SUVr; 95% CI, 0.13-3.46; P = .02). 5 key findings →

Design: cohort study Participants: 279 Evidence: moderate

Among 1431 participants, the mean (SD) age was 71.2 (8.8) years; 751 (52.5%) were male. 2 key findings →

Design: cohort study Participants: 1,135 Evidence: moderate

The NfL level was increased at baseline in patients with mild cognitive impairment and AD dementia (mean levels: cognitive unimpairment, 32.1 ng/L; mild cognitive impairment, 37.9 ng/L; and AD dementia, 45.9 ng/L; P Conclusions and relevance The findings suggest that plasma NfL can be used as a noninvasive biomarker associated with neurodegeneration in patients with AD and may be useful to monitor effects in trials of disease-modifying drugs. 3 key findings →

Design: cohort study Participants: 1,583 Evidence: moderate

Among 16 008 registered participants, 11 409 (71.3%) completed study procedures and were included in the analysis (median age, 75 years [interquartile range, 71-80]; 50.9% women; 60.5% with MCI). 5 key findings →

Design: longitudinal study Participants: 16 Evidence: moderate

Estimating the time course of biomarker changes in Alzheimer's disease

✓ Peer-reviewed alzhub usefulness score 76 out of 100. Brain : a journal of neurology 2026-06-01

Recent advancements in biomarkers have transformed Alzheimer's disease (AD) diagnosis from being purely symptom-based to include biological criteria. 1 key finding →

Design: longitudinal study Participants: 1,448 Evidence: moderate

Neurofilament light chain (NfL) is a promising fluid biomarker of disease progression for various cerebral proteopathies. 2 key findings →

Design: cross-sectional Participants: 187 Evidence: moderate

With the emergence of Alzheimer's disease (AD) disease-modifying therapies, identifying patients who could benefit from these treatments becomes critical. 1 key finding →

Participants: 1,422 Evidence: moderate

Data from 17 107 individuals (321 Asian, 635 Black, 829 Hispanic, and 15 322 White) with MCI or dementia and amyloid PET were analyzed between April 2020 and January 2022. 2 key findings →

Design: cohort study Participants: 3,154 Evidence: moderate

PTau217R reliably predicts regional tau accumulation in early AD, reducing reliance on tau PET scans and broadening its clinical application. 1 key finding →

Evidence: low

Weight loss predicts AD CSF and PET biomarker results and may occur downstream to amyloid-β accumulation in preclinical AD, paralleling cognitive decline. 5 key findings →

Design: cohort study Participants: 2,743 Evidence: moderate

Association between cell-bound blood amyloid-β(1-40) levels and hippocampus volume

✓ Peer-reviewed alzhub usefulness score 74 out of 100. Alzheimer's research & therapy 2014-10-20

Association of cell-bound Aβ(1-40) in blood with left hippocampal volume was much stronger than previously observed in Aβ plasma fractions. 3 key findings →

Design: meta-analysis Participants: 96 Evidence: high

Baseline and 3-month visit data were available for 272 participants in arm 1 and 260 in arm 2 (median [IQR] age: 71 [65-77] and 71 [65-77] years; 150/272 male [55%] and 135/260 male [52%]; 122/272 female [45%] and 125/260 female [48%]; median [IQR] education: 12 [10-15] and 13 [10-16] years, respectively). 3 key findings →

Participants: 844 Evidence: high

Detailed comparison of amyloid PET and CSF biomarkers for identifying early Alzheimer disease

✓ Peer-reviewed alzhub usefulness score 72 out of 100. Neurology 2015-09-09

The best CSF measures for identifying MCI-AD were Aβ42/total tau (t-tau) and Aβ42/hyperphosphorylated tau (p-tau) (area under the curve [AUC] 0.93-0.94). 3 key findings →

Design: longitudinal study Participants: 122 Evidence: moderate

The prospective cohort data from the JPSC-AD will provide valuable insights regarding the risk factors and etiology of dementia as well as for the development of predictive models and diagnostic markers for the future onset of dementia. 2 key findings →

Design: cohort study Participants: 11,410 Evidence: moderate

These findings suggest that the plasma Aβ42/Aβ40 may be useful in identifying individuals with very low levels of amyloid pathology, whereas p-tau, GFAP, and NfL may be useful in staging disease progression. 3 key findings →

Design: longitudinal study Participants: 784 Evidence: moderate

The systemic underrepresentation of Black participants in AD research impacts the ability to generalize research findings and determine the effectiveness and safety of disease-modifying treatments. 1 key finding →

Design: longitudinal study Participants: 629 Evidence: moderate

Both plasma p-tau181 and GFAP appear to reflect disease progression, as indicated by 7T MR-derived brain changes which are not limited to areas known to be affected by tau pathology and neuroinflammation measured by MRS myo-inositol, respectively. 1 key finding →

Design: longitudinal study Participants: 127 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
  • Randomized / 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
  • Multicenter 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 32,180 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 32,180 records, built mostly from automated pulls of Europe PMC (66.5% of the library) and OpenAlex (15.8%), 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.

1,045 records (3.2% of the library) are not peer-reviewed — 966 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    Where this research is being discussed: events

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