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Research

28,180 Alzheimer's and dementia studies in plain English, each scored out of 100.

Find studies

Showing 26–50 of 152 studies in NeuroImage (page 2 of 7) · 28,180 in the whole library · How the 0–100 score works

Download bibliography of these 152 studies, in this order: BibTeX (.bib) · RIS (.ris)

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; 13,658 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.

Early diagnosis of Alzheimer's disease: contribution of structural neuroimaging

✓ Peer-reviewed alzhub usefulness score 59 out of 100. NeuroImage 2003-02-01

To accurately predict the development of Alzheimer's disease (AD) at its predementia stage would be a major breakthrough from both therapeutic and research standpoints. 5 key findings →

Design: longitudinal study Evidence: moderate

Full summary, score breakdown and related studies → Original source Full text may need a subscription

AddNeuroMed and ADNI: similar patterns of Alzheimer's atrophy and automated MRI classification accuracy in Europe and North America

✓ Peer-reviewed alzhub usefulness score 57 out of 100. NeuroImage 2011-07-01

The European Union AddNeuroMed program and the US-based Alzheimer Disease Neuroimaging Initiative (ADNI) are two large multi-center initiatives designed to collect and validate biomarker data for Alzheimer's disease (AD). 5 key findings →

Participants: 1,074 Evidence: moderate

Full summary, score breakdown and related studies → Original source Full text may need a subscription

Tensor-based morphometry as a neuroimaging biomarker for Alzheimer's disease: an MRI study of 676 AD, MCI, and normal subjects

✓ Peer-reviewed alzhub usefulness score 57 out of 100. NeuroImage 2008-07-22

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

Automated mapping of hippocampal atrophy in 1-year repeat MRI data from 490 subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls

✓ Peer-reviewed alzhub usefulness score 57 out of 100. NeuroImage 2008-11-08

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

Optimizing power to track brain degeneration in Alzheimer's disease and mild cognitive impairment with tensor-based morphometry: an ADNI study of 515 subjects

✓ Peer-reviewed alzhub usefulness score 57 out of 100. NeuroImage 2009-07-14

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

Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain

✓ Peer-reviewed alzhub usefulness score 57 out of 100. NeuroImage 2002

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

Comparison of multiple tau-PET measures as biomarkers in aging and Alzheimer's disease

✓ Peer-reviewed alzhub usefulness score 56 out of 100. NeuroImage 2017-06-03

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

A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages

✓ Peer-reviewed alzhub usefulness score 56 out of 100. NeuroImage 2017-04-13

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

The mediational effects of FDG hypometabolism on the association between cerebrospinal fluid biomarkers and neurocognitive function

✓ Peer-reviewed alzhub usefulness score 56 out of 100. NeuroImage 2014-10-29

Positive cerebrospinal fluid (CSF) biomarkers of tau and amyloid beta42 suggest possible active underlying Alzheimer's disease (AD) including neurometabolic dysfunction and neurodegeneration leading to eventual cognitive decline. 4 key findings →

Design: cohort study Participants: 82 Evidence: moderate

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

Evaluating the reliability of neurocognitive biomarkers of neurodegenerative diseases across countries: A machine learning approach

✓ Peer-reviewed alzhub usefulness score 55 out of 100. NeuroImage 2019-12-10

Accurate early diagnosis of neurodegenerative diseases represents a growing challenge for current clinical practice. 5 key findings →

Participants: 200 Evidence: moderate

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

Multi-modal latent factor exploration of atrophy, cognitive and tau heterogeneity in Alzheimer's disease

✓ Peer-reviewed alzhub usefulness score 54 out of 100. NeuroImage 2019-07-22

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

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

Genome-wide association analysis of secondary imaging phenotypes from the Alzheimer's disease neuroimaging initiative study

✓ Peer-reviewed alzhub usefulness score 54 out of 100. NeuroImage 2016-10-04

The aim of this paper is to systematically evaluate a biased sampling issue associated with genome-wide association analysis (GWAS) of imaging phenotypes for most imaging genetic studies, including the Alzheimer's Disease Neuroimaging Initiative (ADNI). 3 key findings →

Design: case-control study Evidence: moderate

Full summary, score breakdown and related studies → Original source

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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. Show only studies that are free to read

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 →

Newest studies, as a dated timeline →    Atom feed