30,980 Alzheimer's and dementia studies in plain English, each scored out of 100.
The gap between predicted brain age using magnetic resonance imaging (MRI) and chronological age may serve as a biomarker for early-stage neurodegeneration. 4 key findings →
Design: longitudinal study Evidence: moderate
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Apolipoprotein (APOE) e4 genotype is an accepted risk factor for accelerated cognitive aging and dementia, though its neurostructural substrates are unclear. 4 key findings →
Design: cross-sectional Participants: 8,395 Evidence: moderate
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Total tau protein (T-Tau) and neurofilament light chain (NfL) have emerged as candidate plasma biomarkers of neurodegeneration, but studies have not compared how these biomarkers cross-sectionally or longitudinally associate with cognitive and neuroimaging measures. 4 key findings →
Design: cross-sectional Participants: 995 Evidence: moderate
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Medical imaging provides numerous insights into the subclinical changes that precede serious diseases such as heart disease and dementia. 4 key findings →
Design: cross-sectional Evidence: low
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The reference standard for amyloid-PET quantification requires structural MRI (sMRI) for preprocessing in both multi-site research studies and clinical trials. 4 key findings →
Participants: 740 Evidence: low
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We analyzed data from 462 ADNI participants without dementia who underwent Aβ ([ 18 F]florbetapir or [ 18 F]florbetaben) and tau ([ 18 F]flortaucipir) PET, structural MRI, and cognitive testing. 4 key findings →
Design: cross-sectional Participants: 156 Evidence: moderate
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The American Heart Association developed the ideal cardiovascular health (CVH) index as a simple tool to promote CVH; yet, its association with brain atrophy and dementia remains unexamined. 4 key findings →
Participants: 2,750 Evidence: moderate
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Perivascular spaces (PVS) visible on MRI scans may represent key aspects in the pathophysiology of stroke and dementia, including cerebral small vessel disease and glymphatic dysfunction. 4 key findings →
Evidence: moderate
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Outdoor activity is linked to lower dementia risk, particularly in those living in more accessible GS. 5 key findings →
Design: longitudinal study Participants: 187,724 Evidence: moderate
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Obesity has been associated with increased risk of accelerated cognitive decline and dementia, which suggests underlying neurobiological changes. 4 key findings →
Participants: 87 Evidence: low
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Previous publications indicate that Alzheimer's Disease (AD) related cortical atrophy may develop in asymmetric patterns, with accentuation of the left hemisphere. 4 key findings →
Design: longitudinal study Evidence: moderate
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In a previous study of normal elderly male twins, the heritability of quantitative white matter hyperintensity (WMH) volume has been estimated to be high (0.73). 4 key findings →
Participants: 2,012 Evidence: moderate
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Obesity is associated with lower brain volumes in cognitively normal elderly subjects, but no study has yet investigated the effects of obesity on brain structure in patients with mild cognitive impairment (MCI) or Alzheimer's disease (AD). 4 key findings →
Participants: 399 Evidence: low
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Fluid and imaging biomarkers of Alzheimer disease (AD) are often used interchangeably, but some biomarkers may reveal earlier stages of disease. 4 key findings →
Participants: 322 Evidence: low
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White matter hyperintensities (WMHs), mainly caused by cerebrovascular injury, may lead to cognitive impairment. 4 key findings →
Design: cross-sectional Participants: 818 Evidence: moderate
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Individuals with Alzheimer's disease (AD) dementia exhibit significant heterogeneity across clinical symptoms, atrophy patterns, and spatial distribution of Tau deposition. 4 key findings →
Design: longitudinal study Evidence: moderate
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Early identification of dementia at the stage of mild cognitive impairment (MCI) is crucial for timely diagnosis and intervention of Alzheimer's disease (AD). 4 key findings →
Participants: 174 Evidence: low
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Predicting the progression of cognitive decline in Alzheimer's disease (AD) is important for treatment selection and patient counseling. 4 key findings →
Participants: 124 Evidence: moderate
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Autopsy studies of Alzheimer's disease (AD) have found that neurofibrillary tangle (NFT) pathology of the medial temporal lobe (MTL) demonstrates selective topography with relatively stereotyped subregional involvement at early disease stages, prompting interest in more granular measurement of these structures with in vivo magnetic resonance imaging. 4 key findings →
Participants: 86 Evidence: moderate
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Alzheimer's disease (AD) is the most common form of progressive and irreversible dementia, and accurate diagnosis of AD at its prodromal stage is clinically important. 4 key findings →
Participants: 422 Evidence: moderate
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Given the recent acknowledgement of the complex mixed pathologies that contribute to the clinical expression of dementia, various cohort studies have aimed to examine Alzheimer's disease and cerebrovascular disease as comorbid pathologies, with neuroimaging playing a central role in these studies. 4 key findings →
Design: cohort study Evidence: moderate
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Mild cognitive impairment (MCI) detection using magnetic resonance image (MRI), plays a crucial role in the treatment of dementia disease at an early stage. 4 key findings →
Evidence: low
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This paper presents a brain T1-weighted structural magnetic resonance imaging (MRI) biomarker that combines several individual MRI biomarkers (cortical thickness measurements, volumetric measurements, hippocampal shape, and hippocampal texture). 4 key findings →
Participants: 29 Evidence: low
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Previous research has described distinct subtypes of Alzheimer's disease (AD) based on the differences in regional patterns of brain atrophy on MRI. 4 key findings →
Evidence: low
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Alzheimer's disease (AD) is the leading cause of dementia, characterized by the accumulation of amyloid-beta (Aβ) and neurofibrillary tangles. 4 key findings →
Participants: 16 Evidence: low
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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
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.
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 30,980 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.
This is a large sample of the Alzheimer's literature, not an exhaustive index of it. It holds 30,980 records, built mostly from automated pulls of Europe PMC (65.2% of the library) and OpenAlex (16.4%), 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.
1,042 records (3.4% of the library) are not peer-reviewed — 967 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