27,780 Alzheimer's and dementia studies in plain English, each scored out of 100.
The genetics dataset yielded two subtypes of AD characterized mainly by the presence/absence of the apolipoprotein E (APOE) ε4 genotype, but also involving differential presence of risk alleles of CD2AP, SPON1 and LOC39095 SNPs that were associated with differences in the respective patterns of brain atrophy, especially in the precuneus. 2 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Automated analysis of MRI data of the subregions of the hippocampus requires computational atlases built at a higher resolution than those that are typically used in current neuroimaging studies. 2 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Structural deformity of the hippocampus is characteristic of individuals with very mild and mild forms of dementia of the Alzheimer type (DAT). 3 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Chronic stress in non-human animals decreases the volume of the hippocampus, a brain region that supports learning and memory and that regulates neuroendocrine activity. 2 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Hippocampal volume reductions are widely observed in schizophrenia. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Self-esteem, the value we place on ourselves, has been associated with effects on health, life expectancy, and life satisfaction. 3 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
However, a more recent work, derived in part from functional neuroimaging studies, has suggested that other brain structures make up a large-scale network that appears to support successful encoding and retrieval of episodic memories. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Hippocampal volume has been shown to be sensitive to variations in estrogen and progesterone levels across rodents' estrous cycle. 3 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
A growing number of structural neuroimaging studies have reported significant changes in gray matter density or volume and white matter microstructure in the adult human brain following training. 2 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Since hippocampal volume has been found to be an early biomarker for Alzheimer's disease, there is large interest in automated methods to accurately, robustly, and reproducibly extract the hippocampus from MRI data. 3 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Due to its crucial role for memory processes and its relevance in neurological and psychiatric disorders, the hippocampus has been the focus of neuroimaging research for several decades. 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source
The structure of the human brain is highly heritable, and is thought to be influenced by many common genetic variants, many of which are currently unknown. 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source
This paper introduces neurite orientation dispersion and density imaging (NODDI), a practical diffusion MRI technique for estimating the microstructural complexity of dendrites and axons in vivo on clinical MRI scanners. 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source
The early identification of brain anatomy deviating from the normal pattern of growth and atrophy, such as in Alzheimer's disease (AD), has the potential to improve clinical outcomes through early intervention. 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source
The purpose of this paper is to establish single-participant white matter atlases based on diffusion tensor imaging. 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source
Functional connectivity (FC) sheds light on the interactions between different brain regions. 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source
Recent functional imaging studies have indicated that the pathophysiology of Alzheimer's disease (AD) can be associated with the changes in spontaneous low-frequency (<0.08 Hz) blood oxygenation level-dependent fluctuations (LFBF) measured during a resting state. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Many machine learning and pattern classification methods have been applied to the diagnosis of Alzheimer's disease (AD) and its prodromal stage, i.e., mild cognitive impairment (MCI). 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source
The basal forebrain contains several interdigitating anatomical structures, including the diagonal band of Broca, the basal nucleus of Meynert, the ventral striatum, and also cell groups underneath the globus pallidus that bridge the centromedial amygdala to the bed nucleus of the stria terminalis. 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source
Noninvasive monitoring of β-amyloid (Aβ) plaques, the neuropathological hallmarks of Alzheimer's disease (AD), is critical for AD diagnosis and prognosis. 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source
This paper describes algorithms that can identify patterns of brain structure and function associated with Alzheimer's disease, schizophrenia, normal aging, and abnormal brain development based on imaging data collected in large human populations. 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source
Mild cognitive impairment (MCI) is a transitional stage between age-related cognitive decline and Alzheimer's disease (AD). 3 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Neurodegenerative disorders, such as Alzheimer's disease, are associated with changes in multiple neuroimaging and biological measures. 2 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
There are growing numbers of studies using machine learning approaches to characterize patterns of anatomical difference discernible from neuroimaging data. 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source
Structural and functional brain images are playing an important role in helping us understand the changes associated with neurological disorders such as Alzheimer's disease (AD). 3 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
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 →