Evidence map›Paper›PMID 33174658›Full record

ArticleHuman brain mapping2021

Detection of Alzheimer's Disease using cortical diffusion tensor imaging.

Mario Torso, Marco Bozzali, Giovanna Zamboni, Mark Jenkinson, Steven A Chance, Alzheimers Disease Neuroimage Initiative

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.7field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 40 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Predicting progression from MCI to dementia using cortical disarray measurement from diffusion MRI.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Brain communications · 2024
    Article
  15. Assessment of Gray Matter Microstructure and Synaptic Density in Alzheimer's Disease: A Multimodal Imaging Study With DTI and SV2A PET.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2024
    Article
  16. Article
  17. Article
  18. Mapping frontoinsular cortex from diffusion microstructure.Cerebral cortex (New York, N.Y. : 1991) · 2023
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Mario TorsoNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.ORCID 0000-0002-5284-9167
Marco BozzaliNeuroimaging Laboratory, Santa Lucia Foundation, Rome, Italy.
Giovanna ZamboniNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Mark JenkinsonWellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Steven A ChanceNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Alzheimers Disease Neuroimage Initiative
University of Oxford · GBBrighton and Sussex Medical School · GBUniversity of Modena and Reggio Emilia · IT

Funding

Department of HealthWellcome TrustWellcome Trust 203139/Z/16/Z
6 · The paper itself

Abstract

The aim of this research was to test a novel in-vivo brain MRI analysis method that could be used in clinical cohorts to investigate cortical architecture changes in patients with Alzheimer's Disease (AD). Three cohorts of patients with probable AD and healthy volunteers were used to assess the results of the method. The first group was used as the "Discovery" cohort, the second as the "Test" cohort and the last "ATN" (Amyloid, Tau, Neurodegeneration) cohort was used to test the method in an ADNI 3 cohort, comparing to amyloid and Tau PET. The method can detect altered quality of cortical grey matter in AD patients, providing an additional tool to assess AD, distinguishing between these and healthy controls with an accuracy range between good and excellent. These new measurements could be used within the "ATN" framework as an index of cortical microstructure quality and a marker of Neurodegeneration. Further development may aid diagnosis, patient selection, and quantification of the "Neurodegeneration" component in response to therapies in clinical trials.

Indexed as

AgedAged, 80 and overAlzheimer DiseaseCerebral CortexDiffusion Tensor ImagingFemaleHumansMaleAlzheimer's Diseasecortical diffusion tensor imagingcortical microstructurediagnostic accuracyminicolumn

Identifiers

PMID33174658
PMCPMC7856641
OpenAlexW3102319951

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.