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Research

27,380 Alzheimer's and dementia studies in plain English, each scored out of 100.

Find studies

Showing 1–19 of 19 studies in Human Brain Mapping · free to read · 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.

Subjects

Authors

Names as each record prints them; the same person can appear under two spellings.

Institutions

From OpenAlex; 12,859 studies have no institution on record and are not counted here.

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.

Cardiometabolic risk factors associated with brain age and accelerate brain ageing

✓ Peer-reviewed alzhub usefulness score 61 out of 100. Human brain mapping 2021-10-09

The structure and integrity of the ageing brain is interchangeably linked to physical health, and cardiometabolic risk factors (CMRs) are associated with dementia and other brain disorders. 4 key findings →

Design: cross-sectional Evidence: high

Full summary, score breakdown and related studies → Original source Free full text

Phase lag index: assessment of functional connectivity from multi channel EEG and MEG with diminished bias from common sources

✓ Peer-reviewed alzhub usefulness score 54 out of 100. Human brain mapping 2007-11-01

The PLI performed at least as well as the PC in detecting true changes in synchronization in model and real data but, at the same token and like-wise the IC, it was much less affected by the influence of common sources and active reference electrodes. 2 key findings →

Evidence: low

Full summary, score breakdown and related studies → Original source Free full text

Automated 3D mapping of hippocampal atrophy and its clinical correlates in 400 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls

✓ Peer-reviewed alzhub usefulness score 54 out of 100. Human brain mapping 2009-09-01

We used a new method we developed for automated hippocampal segmentation, called the auto context model, to analyze brain MRI scans of 400 subjects from the Alzheimer's disease neuroimaging initiative. 4 key findings →

Participants: 400 Evidence: low

Full summary, score breakdown and related studies → Original source Free full text

Volumetric Changes in Cerebellar Transverse Zones: Age and Sex Effects in Health and Neurological Disorders

✓ Peer-reviewed alzhub usefulness score 51 out of 100. Human Brain Mapping 2025-04-15

Cerebellar volumetric changes are intricately linked to aging, with distinct patterns across its transverse zones, the functional subdivisions characterized by unique cytoarchitectural and connectivity profiles. 5 key findings →

Participants: 45,000 Evidence: low

Full summary, score breakdown and related studies → Original source Free full text

Effective feature learning and fusion of multimodality data using stage-wise deep neural network for dementia diagnosis

✓ Peer-reviewed alzhub usefulness score 50 out of 100. Human brain mapping 2018-11-01

In this article, the authors aim to maximally utilize multimodality neuroimaging and genetic data for identifying Alzheimer's disease (AD) and its prodromal status, Mild Cognitive Impairment (MCI), from normal aging subjects. 4 key findings →

Evidence: low

Full summary, score breakdown and related studies → Original source Free full text

Cross‐Sectional Comparison of Structural MRI Markers of Impairment in a Diverse Cohort of Older Adults

✓ Peer-reviewed alzhub usefulness score 50 out of 100. Human Brain Mapping 2025-01-27

Higher BAG (pDeepBrainNet = 0.0002; pBrainAgeR = 0.00117) and lower hippocampal volume (p = 0.0015) and cortical thickness (p < 0.0001) were associated with worse clinical status (higher CDR). 2 key findings →

Participants: 2,870 Evidence: low

Full summary, score breakdown and related studies → Original source Free full text

Source-based morphometry: the use of independent component analysis to identify gray matter differences with application to schizophrenia

✓ Peer-reviewed alzhub usefulness score 49 out of 100. Human brain mapping 2009-03-01

We present a multivariate alternative to the voxel-based morphometry (VBM) approach called source-based morphometry (SBM), to study gray matter differences between patients and healthy controls. 4 key findings →

Evidence: low

Full summary, score breakdown and related studies → Original source Free full text

WMH ‐ DualTasker : A Weakly Supervised Deep Learning Model for Automated White Matter Hyperintensities Segmentation and Visual Rating Prediction

✓ Peer-reviewed alzhub usefulness score 48 out of 100. Human Brain Mapping 2025-04-15

White matter hyperintensities (WMH) are neuroimaging markers linked to an elevated risk of cognitive decline. 2 key findings →

Participants: 60 Evidence: low

Full summary, score breakdown and related studies → Original source Free full text

Using machine learning to quantify structural MRI neurodegeneration patterns of Alzheimer's disease into dementia score: Independent validation on 8,834 images from ADNI, AIBL, OASIS, and MIRIAD databases

✓ Peer-reviewed alzhub usefulness score 47 out of 100. Human brain mapping 2020-07-02

Biomarkers for dementia of Alzheimer's type (DAT) are sought to facilitate accurate prediction of the disease onset, ideally predating the onset of cognitive deterioration. 1 key finding →

Evidence: low

Full summary, score breakdown and related studies → Original source Free full text

Progressive increase of frontostriatal brain activation from childhood to adulthood during event-related tasks of cognitive control

✓ Peer-reviewed alzhub usefulness score 47 out of 100. Human brain mapping 2006-12-01

Higher cognitive inhibitory and attention functions have been shown to develop throughout adolescence, presumably concurrent with anatomical brain maturational changes. 1 key finding →

Evidence: high

Full summary, score breakdown and related studies → Original source Free full text

From Big Data to the Clinic: Methodological and Statistical Enhancements to Implement the UK Biobank Imaging Framework in a Memory Clinic

✓ Peer-reviewed alzhub usefulness score 47 out of 100. Human Brain Mapping 2025-02-15

The analysis tools and statistical methods used in large neuroimaging research studies differ from those applied in clinical contexts, making it unclear whether these techniques can be translated to a memory clinic setting. 5 key findings →

Participants: 213 Evidence: low

Full summary, score breakdown and related studies → Original source Free full text

Abnormal salience network in normal aging and in amnestic mild cognitive impairment and Alzheimer's disease

✓ Peer-reviewed alzhub usefulness score 46 out of 100. Human brain mapping 2013-11-12

The salience network (SN) serves to identify salient stimuli and to switch between the central executive network (CEN) and the default-mode network (DMN), both of which are impaired in Alzheimer's disease (AD)/amnestic mild cognitive impairment (aMCI). 3 key findings →

Evidence: low

Full summary, score breakdown and related studies → Original source Free full text

Investigating the Utility of Explainable Artificial Intelligence for Neuroimaging‐Based Dementia Diagnosis and Prognosis

✓ Peer-reviewed alzhub usefulness score 41 out of 100. Human Brain Mapping 2026-02-01

Artificial intelligence and neuroimaging enable accurate dementia prediction but often involve 'black box' models that can be difficult to trust. 5 key findings →

Evidence: low

Full summary, score breakdown and related studies → Original source Free full text

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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.

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