Alzheimer's disease is the most common form of dementia. 2 key findings →
Design: meta-analysis Participants: 1,351 Evidence: high
Full summary, score breakdown and related studies → Original source Free full text
Research
28,180 Alzheimer's and dementia studies in plain English, each scored out of 100.
Traditional neuroimage analysis pipelines involve computationally intensive, time-consuming optimization steps, and thus, do not scale well to large cohort studies with thousands or tens of thousands of individuals. 5 key findings →
Design: cohort study Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
Early identification of individuals at risk of developing Alzheimer's disease (AD) dementia is important for developing disease-modifying therapies. 4 key findings →
Design: cross-sectional Participants: 1,677 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
Hearing impairment in older adults is independently associated in longitudinal studies with accelerated cognitive decline and incident dementia, and in cross-sectional studies, with reduced volumes in the auditory cortex. 5 key findings →
Design: cross-sectional Participants: 126 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
Recent genetic and proteomic studies demonstrate that clusterin/apolipoprotein-J is associated with risk, pathology, and progression of Alzheimer's disease (AD). 5 key findings →
Design: longitudinal study Participants: 139 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
Tensor-based morphometry can recover three-dimensional longitudinal brain changes over time by nonlinearly registering baseline to follow-up MRI scans of the same subject. 2 key findings →
Design: longitudinal study Participants: 20 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
The most novel characteristics of our machine learning model compared to previous ones are the following: 1) our deep learning model is multi-tasking, in the sense that it jointly learns to simultaneously predict both MCI to AD conversion as well as AD vs. healthy controls classification, which facilitates relevant feature extraction for AD prognostication; 2) the neural network classifier employs fewer parameters than other deep learning architectures which significantly limits data-overfitting (we use ∼550,000 network parameters, which is orders of magnitude lower than other network designs); 3) both structural MRI images and their warp field characteristics, which quantify local volumetric changes in relation to the MRI template, were used as separate input streams to extract as much information as possible from the MRI data. 1 key finding →
Participants: 785 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Structural MRI measures for monitoring Alzheimer's Disease (AD) progression are becoming instrumental in the clinical practice, and more so in the context of longitudinal studies. 4 key findings →
Design: longitudinal study Participants: 460 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
60/100
The hippocampus is involved at the onset of the neuropathological pathways leading to Alzheimer's disease (AD). 4 key findings →
Design: longitudinal study Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
In mostly small single-center studies, Alzheimer's disease (AD) is associated with characteristic and progressive reductions in fluorodeoxyglucose positron emission tomography (PET) measurements of the regional cerebral metabolic rate for glucose (CMRgl). 4 key findings →
Design: longitudinal study Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
Memory loss is one of the first symptoms of typical Alzheimer's disease (AD), for which there are no effective therapies available. 3 key findings →
Participants: 14 Evidence: high
Full summary, score breakdown and related studies → Original source Free full text
59/100
A new diagnostic indicator of FDG PET scan abnormality, based on age-adjusted t statistics and an automated voxel-based procedure, is presented and validated in a large data set comprising 110 normal controls and 395 patients with probable Alzheimer's disease (AD) that were studied in eight participating centers. 5 key findings →
Participants: 395 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
From molecular mechanisms to global brain networks, atypical fluctuations are the hallmark of neurodegeneration. 4 key findings →
Participants: 300 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
59/100
This text describes FreeSurfer, an open-source suite of tools for neuroimaging data analysis. 3 key findings →
Full summary, score breakdown and related studies → Original source Free full text
Full summary, score breakdown and related studies → Original source Free full text
58/100
The fornix is a predominant outflow tract of the hippocampus and may be an important indicator of AD progression. 2 key findings →
Design: cross-sectional Participants: 75 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
58/100
Total hippocampal volume has been consistently linked to cognitive function and dementia. 4 key findings →
Participants: 5,035 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
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
Full summary, score breakdown and related studies → Original source Free full text
In one of the largest brain MRI studies to date, we used tensor-based morphometry (TBM) to create 3D maps of structural atrophy in 676 subjects with Alzheimer's disease (AD), mild cognitive impairment (MCI), and healthy elderly controls, scanned as part of the Alzheimer's Disease Neuroimaging Initiative (ADNI). 4 key findings →
Participants: 676 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
As one of the earliest structures to degenerate in Alzheimer's disease (AD), the hippocampus is the target of many studies of factors that influence rates of brain degeneration in the elderly. 4 key findings →
Participants: 490 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Tensor-based morphometry (TBM) is a powerful method to map the 3D profile of brain degeneration in Alzheimer's disease (AD) and mild cognitive impairment (MCI). 4 key findings →
Design: longitudinal study Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
This study performed an anatomical parcellation of the MNI spatially normalized single-subject high-resolution T1 volume by delineating main sulci as landmarks to define 45 anatomical volumes of interest (AVOI) in each hemisphere. 4 key findings →
Full summary, score breakdown and related studies → Original source Free full text
The recent development of tau-specific positron emission tomography (PET) tracers enables in vivo quantification of regional tau pathology, one of the key lesions in Alzheimer's disease (AD). 2 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Neuroimaging has made it possible to measure pathological brain changes associated with Alzheimer's disease (AD) in vivo. 2 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Alzheimer's disease (AD) is a progressive and irreversible brain degenerative disorder. 2 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
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.
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 →