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Find studies

Showing 351–375 of 1,459 studies in Brain scans and imaging (page 15 of 59) · 27,380 in the whole library · How the 0–100 score works

Browse by subject, author or institution

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

What “Brain scans and imaging” covers

Brain scans and imaging — MRI, PET and other scans: what they show, how early, and how reliably.

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.

Differential FTP-PET signal patterns showed significant negative associations with domain-specific annual rates of decline. 5 key findings →

Design: cross-sectional Evidence: moderate

Elevated CSF p-tau181 and cortical 18F-PI-2620 binding was characteristic for AD while normal CSF p-tau181 with elevated subcortical 18F-PI-2620 binding was characteristic for 4RTs. 18F-PI-2620-assessed posterior cortical hypoperfusion could be used as an additional neuronal injury biomarker in AD. 5 key findings →

Participants: 64 Evidence: low

CSF biomarkers and amyloid PET: concordance and diagnostic accuracy in a MCI cohort

✓ Peer-reviewed alzhub usefulness score 54 out of 100. Acta neurologica Belgica 2019-03-07

Brain amyloid deposition is one of the main hallmarks of Alzheimer's disease (AD) and two approaches are available for assessing amyloid pathology in vivo: cerebrospinal fluid (CSF) biomarkers levels and amyloid load visualized by amyloid beta positron emission tomography imaging (Amy-PET) probes. 1 key finding →

Participants: 31 Evidence: moderate

There is both clinical and neuroanatomical variability at the single-subject level in Alzheimer's disease, complicating our understanding of brain-behaviour relationships and making it challenging to develop neuroimaging biomarkers to track disease severity, progression, and response to treatment. 5 key findings →

Participants: 1,000 Evidence: low

Intergrader agreements for overall 3 × 3 mm image quality and quantitative assessment of VD and FAZ ranged between 71% and 87% (52 images). 5 key findings →

Participants: 27 Evidence: low

Deep-learning retinal vessel calibre measurements and risk of cognitive decline and dementia

✓ Peer-reviewed alzhub usefulness score 54 out of 100. Brain communications 2022-08-17

Previous studies have explored the associations of retinal vessel calibre, measured from retinal photographs or fundus images using semi-automated computer programs, with cognitive impairment and dementia, supporting the concept that retinal blood vessels reflect microvascular changes in the brain. 3 key findings →

Participants: 212 Evidence: low

This study investigates various pathological tau isoforms in the retina of individuals with early and advanced Alzheimer's disease (AD), exploring their connection with disease status. 5 key findings →

Participants: 45 Evidence: low

The SVCI group showed lower CD in the temporal quadrant of the RPC network compared to the CN group (mean (SD), 42.34 (6.29) vs 48.45 (7.08); p = 0.001). 5 key findings →

Design: cross-sectional Participants: 69 Evidence: low

Whereas traumatic brain injury (TBI) results in widespread disruption of neural networks, changes in regional resting-state functional connectivity patterns after insult remain unclear. 4 key findings →

Design: cross-sectional Participants: 13 Evidence: moderate

MRI correlates of neurofibrillary tangle pathology at autopsy: a voxel-based morphometry study

✓ Peer-reviewed alzhub usefulness score 53 out of 100. Neurology 2008-09-01

Patterns of gray matter loss are associated with neurofibrillary tangle (NFT) pathology, specifically with NFT burden at Braak stages III and IV and with Braak stage itself at higher stages. 4 key findings →

Evidence: low

Registration of serial MRI volume images provides a powerful method of quantification of brain atrophy that can be used to monitor progression of AD in clinical trials. 1 key finding →

Participants: 207 Evidence: low

The semantic and non-fluent/agrammatic variants are largely associated with frontotemporal lobar degeneration with TDP-43 and tau pathology, respectively. 3 key findings →

Evidence: low

Medial temporal lobe atrophy on MRI scans and the diagnosis of Alzheimer disease

✓ Peer-reviewed alzhub usefulness score 53 out of 100. Neurology 2008-12-01

Medial temporal lobe atrophy (MTA) scores 1) distinguish probable Alzheimer disease (AD) and amnestic mild cognitive impairment (MCI) subjects from nonamnestic MCI and no cognitive impairment (NCI) subjects, 2) help predict diagnosis at baseline, and 3) predict transition from NCI to MCI and from MCI to probable AD. 1 key finding →

Participants: 117 Evidence: low

MRI cortical thickness biomarker predicts AD-like CSF and cognitive decline in normal adults

✓ Peer-reviewed alzhub usefulness score 53 out of 100. Neurology 2011-12-21

This approach to the detection of individuals at high risk for preclinical AD-identified in single CN individuals using this quantitative ADsig MRI biomarker-may provide investigators with a population enriched for AD pathobiology and with a relatively high likelihood of imminent cognitive decline consistent with prodromal AD. 3 key findings →

Evidence: low

The MRC Cognitive Function and Ageing Study (CFAS) is a prospective longitudinal study of a population-based cohort of elderly people in six UK sites, evaluated using psychometric instruments and questionnaires to elucidate physical and mental health. 3 key findings →

Design: longitudinal study Evidence: moderate

The significance of medial temporal lobe atrophy: a postmortem MRI study in the very old

✓ Peer-reviewed alzhub usefulness score 53 out of 100. Neurology 2007-10-01

Medial temporal lobe atrophy (MTA) on postmortem MRI is sensitive to primary degenerative hippocampal pathology in the very old, but not specific for Alzheimer-type pathology. 5 key findings →

Participants: 132 Evidence: low

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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 27,380 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 27,380 records, built mostly from automated pulls of Europe PMC (60.6% of the library) and OpenAlex (18.6%), 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.

1,032 records (3.8% 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