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Find studies

Showing 101–125 of 2,900 studies · tagged Brain Scans (page 5 of 116) · 27,780 in the whole library · How the 0–100 score works

Download bibliography of the first 500 of these 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.

Common Genetic Variation Indicates Separate Causes for Periventricular and Deep White Matter Hyperintensities

✓ Peer-reviewed alzhub usefulness score 71 out of 100. Stroke 2020-06-10

Periventricular white matter hyperintensities (WMH; PVWMH) and deep WMH (DWMH) are regional classifications of WMH and reflect proposed differences in cause. 4 key findings →

Design: meta-analysis Participants: 26,654 Evidence: high

It is currently unclear whether plasma biomarkers can be used as independent prognostic tools to predict changes associated with early Alzheimer's disease. 4 key findings →

Design: longitudinal study Participants: 123 Evidence: moderate

Addition of CAT to the PACC provides unique information about early cognitive decline not currently captured by the episodic memory, executive function, and global cognition components and may therefore improve detection of early Aβ-related cognitive decline. 1 key finding →

Design: longitudinal study Participants: 70 Evidence: moderate

Plasma p-tau217 showed the strongest individual association with Aβ PET status (area under the curve [AUC], 0.85). 5 key findings →

Design: cohort study Participants: 1,407 Evidence: moderate

The best-performing MRI-free approaches had high continuous and dichotomous agreement with MRI-dependent SUVRs for Aβ PET and temporal flortaucipir (R2 ≥0.95; ± agreement ≥92%) and for Alzheimer's disease-related effect sizes; agreement was slightly lower for entorhinal flortaucipir and longitudinal slopes. 2 key findings →

Design: longitudinal study Participants: 1,290 Evidence: moderate

There were 571 participants in the normal cognition group, 625 participants in the subjective cognitive decline group, 155 participants in the objectively defined subtle cognitive decline group, 501 participants in the mild cognitive impairment group, 471 participants in Alzheimer's disease group, and 128 participants with cognitive impairment from other known causes. 5 key findings →

Design: longitudinal study Participants: 4,386 Evidence: moderate

The A+P+T- group showed a slower rate of increase in tau-PET compared to the A+P+T+ group, primarily in neocortical regions. 4 key findings →

Design: longitudinal study Participants: 231 Evidence: moderate

Alzheimer's disease diagnostic accuracy by fluid and neuroimaging ATN framework

✓ Peer-reviewed alzhub usefulness score 71 out of 100. CNS neuroscience & therapeutics 2023-07-12

Our findings suggest that plasma, CSF, and neuroimaging biomarkers differ considerably within the ATN framework; the most accurate target biomarkers for diagnosing AD were the CSF-A, neuroimaging-T, and neuroimaging-N within each ATN modality. 4 key findings →

Design: longitudinal study Participants: 2,340 Evidence: moderate

These findings indicate that plasma pTau181, plasma pTau217 and amyloid-β PET convey overlapping information and therefore predict the dynamic phase of asymptomatic amyloid-β accumulation with comparable performances. 1 key finding →

Design: cohort study Participants: 75 Evidence: moderate

Analyses measured the associations between predictor variables and the memory score, and whether AT(N) biomarker profiles significantly improved prediction of memory z score rates of change beyond a model with clinical and genetic variables only. 3 key findings →

Design: cohort study Participants: 480 Evidence: moderate

These findings suggest that this blood biomarker test could allow for distinguishing individuals with brain amyloid-positive PET findings from individuals with amyloid-negative PET findings and serve as an aid for Alzheimer disease diagnosis. 4 key findings →

Design: cohort study Participants: 249 Evidence: moderate

We analyzed 1,240 MRIs from 473 patients (age: 69.2 ± 7.4 [range: 49-87]; 32.8% women). 2 key findings →

Design: cohort study Participants: 1,240 Evidence: moderate

81 participants with probable Alzheimer's disease and 69 healthy controls were assessed. 1 key finding →

Design: clinical trial Participants: 81 Evidence: high

In the discovery cohort, the mean (SD) age was 70.9 (8.5) years, 191 (58%) were male, the mean (SD) MMSE score was 27.1 (1.9), and 110 individuals with MCI (33%) converted to dementia (71 to AD dementia). 4 key findings →

Design: cohort study Participants: 110 Evidence: moderate

We performed a systematic review of studies focusing on the automatic prediction of the progression of mild cognitive impairment to Alzheimer's disease (AD) dementia, and a quantitative analysis of the methodological choices impacting performance. 1 key finding →

Design: systematic review Participants: 172 Evidence: high

Longitudinal pattern of regional brain volume change differentiates normal aging from MCI

✓ Peer-reviewed alzhub usefulness score 70 out of 100. Neurology 2009-06-01

Early identification of patterns of abnormality is of fundamental importance for detecting disease onset and tracking progression. 2 key findings →

Design: longitudinal study Participants: 1,017 Evidence: moderate

Neuroimaging biomarkers and CSF sTREM2 levels in Alzheimer's disease: a longitudinal study

✓ Peer-reviewed alzhub usefulness score 70 out of 100. Scientific reports 2024-07-03

Understanding the exact pathophysiological mechanisms underlying the involvement of triggering receptor expressed on myeloid cells 2 (TREM2) related microglia activation is crucial for the development of clinical trials targeting microglia activation at different stages of Alzheimer's disease (AD). 5 key findings →

Design: longitudinal study Participants: 1,001 Evidence: moderate

Participants with CIND displayed lower perfusion in the PCC+PCu relative to participants who were CN, but there was no statistically significant difference between the groups in amyloid burden in this region. 5 key findings →

Design: case-control study Participants: 113 Evidence: moderate

CL was associated with syndromic (F = 4.42, p = 0.014) and etiological diagnosis (F = -12.66, p < 0.001), with Alzheimer's disease (AD) patients showing the highest amyloid burden (62.9 ± 27.5), followed by dementia with Lewy bodies (DLB) (25.3 ± 35.5) and cardiovascular disease (CVD) (16.7 ± 24.5), and finally frontotemporal lobe degeneration (FTLD) (5.0 ± 17.22, t = -12.66, p < 0.001). 4 key findings →

Design: longitudinal study Participants: 157 Evidence: moderate

A high-protein and alcohol dietary pattern was negatively associated with cortical thickness in the whole brain (Beta: -0.011; 95% confidence interval [CI]: -0.018 to -0.003), and with an Alzheimer's disease cortical thickness signature score (Beta: -0.013; 95% CI: -0.024 to -0.001). 5 key findings →

Design: cohort study Participants: 610 Evidence: moderate

This expert workgroup review summarizes what is known about ARIA, the brain-swelling (ARIA-E) and micro-bleeding (ARIA-H) side effect seen with anti-amyloid drugs. 3 key findings →

Design: systematic-review Evidence: high

From across this tag

10 of the 2,885 studies in this tag, picked by a fixed rule (a hash of each study's address), not by score or date; each page of this list shows a different 10. The same 10 appear here every time.

↑ Change the filters

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 27,780 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 27,780 records, built mostly from automated pulls of Europe PMC (61.1% of the library) and OpenAlex (18.3%), 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