27,780 Alzheimer's and dementia studies in plain English, each scored out of 100.
Hippocampal volume increase in response to aerobic exercise has been consistently observed in animal models. 3 key findings →
Design: systematic review Participants: 737 Evidence: high
Full summary, score breakdown and related studies → Original source
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
White matter deterioration is associated with cognitive impairment in healthy aging and Alzheimer's disease. 3 key findings →
Participants: 180 Evidence: low
Full summary, score breakdown and related studies → Original source
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
Using VBM-DARTEL, when corrected for multiple comparisons, significant volume differences were detected between groups in different regions and more specifically in hippocampus with ROI analyses. 3 key findings →
Design: meta-analysis Evidence: high
Full summary, score breakdown and related studies → Original source
Mild cognitive impairment (MCI) often represents an early form of Alzheimer disease (AD). 2 key findings →
Design: randomized controlled trial Participants: 28 Evidence: high
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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
Animal models point towards a key role of brain-derived neurotrophic factor (BDNF), insulin-like growth factor-I (IGF-I) and vascular endothelial growth factor (VEGF) in mediating exercise-induced structural and functional changes in the hippocampus. 2 key findings →
Participants: 21 Evidence: low
Full summary, score breakdown and related studies → Original source
Previous studies in humans have shown the presence of an age-related reduction of hippocampal (HC) volume, as well as the presence of reduced HC volume in psychiatric populations suffering from schizophrenia, depression or post-traumatic stress disorder. 3 key findings →
Design: meta-analysis Evidence: high
Full summary, score breakdown and related studies → Original source
Capturing the dynamics of gray matter (GM) atrophy in relation to the conversion from mild cognitive impairment (MCI) to clinically probable Alzheimer's disease (AD) would be of considerable interest. 3 key findings →
Design: longitudinal study Evidence: moderate
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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
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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
The ultimate goal of cognitive enhancement as an intervention for age-related cognitive decline is transfer to everyday cognitive functioning. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
The hippocampus has been shown to demonstrate a remarkable degree of plasticity in response to a variety of tasks and experiences. 3 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
We developed an anatomical mapping technique to detect hippocampal and ventricular changes in Alzheimer disease (AD). 5 key findings →
Design: longitudinal study Evidence: moderate
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In this study, researchers assessed the validity and reliability of an automated labeling system developed to subdivide the human cerebral cortex on magnetic resonance images into gyral based regions of interest. 3 key findings →
Evidence: low
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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
We propose a new method of measuring atrophy of brain structures by simultaneously segmenting longitudinal magnetic resonance (MR) images. 4 key findings →
Design: longitudinal study Participants: 206 Evidence: moderate
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While aggregation of neuroimaging datasets from multiple sites and scanners can yield increased statistical power, it also presents challenges due to systematic scanner effects. 5 key findings →
Design: cross-sectional Participants: 663 Evidence: moderate
Full summary, score breakdown and related studies → Original source
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
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
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 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.
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 →