Evidence map›Paper›PMID 32206757›Full record

ArticleJournal of Alzheimer's disease reports2020

Identification of Superficial White Matter Abnormalities in Alzheimer's Disease and Mild Cognitive Impairment Using Diffusion Tensor Imaging.

Bahare Bigham, Seyed Amir Zamanpour, Fariba Zemorshidi, Farzaneh Boroumand, Hoda Zare, Alzheimer’s Disease Neuroimaging Initiative

Open access · diamondAbstract read
In one paragraph

Article in Journal of Alzheimer's disease reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 7% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Superficial white matter and gray matter jointly support cognition among older adults in India.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Imaging of the superficial white matter in health and disease.Imaging neuroscience (Cambridge, Mass.) · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Machine learning to investigate superficial white matter integrity in early multiple sclerosis.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2022
    Article
  16. Article
  17. Article
  18. Review
  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 1 institution in 1 country.

Bahare BighamDepartment of Medical Physics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Seyed Amir ZamanpourDepartment of Medical Physics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Fariba ZemorshidiDepartment of Neurology, Ghaem Hospital, Mashhad University of Medical Sciences, Mashhad, Iran.
Farzaneh BoroumandStudent Research Committee, Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Hoda ZareDepartment of Medical Physics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Alzheimer’s Disease Neuroimaging Initiative
Mashhad University of Medical Sciences · IR

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
NIA NIH HHS U01 AG024904
6 · The paper itself

Abstract

backgroundDiffusion tensor imaging (DTI) estimates the microstructural alterations of the brain, as a magnetic resonance imaging (MRI)-based neuroimaging technique. Prior DTI studies reported decreased structural integrity of the superficial white matter (SWM) in the brain diseases.

objectiveThis study aimed to determine the diffusion characteristics of SWM in Alzheimer's disease (AD) and mild cognitive impairment (MCI) using tractography and region of interest (ROI) approaches.

methodsThe diffusion MRI data were downloaded from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database on 24 patients with AD, 24 with MCI, and 24 normal control (NC) subjects. DTI processing was performed using DSI Studio software. First, for ROI-based analysis, The superficial white matter was divided into right and left frontal, parietal, temporal, insula, limbic and occipital regions by the Talairach Atlas, Then, for tractography-based analysis, the tractography of each of these regions was performed with 100000 seeds. Finally, the average diffusion values were extracted from voxels within the ROIs and tracts.

resultsBoth tractography and ROI analyses showed a significant difference in radial, axial and mean diffusivity values between the three groups (

conclusionDTI provided information indicating microstructural changes in the SWM of patients with AD and MCI. Therefore, assessment of the SWM using DTI may be helpful for the clinical diagnosis of patients with AD and MCI.

Indexed as

Alzheimer’s diseasediffusion tensor imagingmild cognitive impairmentsuperficial white mattertractography

Identifiers

PMID32206757
PMCPMC7081087
OpenAlexW3007568584

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.