Evidence map›Paper›PMID 39323777›Full record

ArticleHeliyon2024

A computer approach to assess age-related changes of the brain white matter in Alzheimer's disease.

Vania Karami, Giovanna Ricci, Giuliano Pesel, Giulio Nittari

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

4 authors.

Vania KaramiSchool of Pharmaceutical Sciences and Health Products, University of Camerino, Camerino, (MC), Italy.
Giovanna RicciDepartment of Legal Medicine, University of Camerino, Camerino, (MC), Italy.
Giuliano PeselHealth Directorate, Occupational Medicine Section, Trieste, (TS), Italy.
Giulio NittariSchool of Pharmaceutical Sciences and Health Products, University of Camerino, Camerino, (MC), Italy.

Funding

Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI Tammie Lee Smith Benzinger · 1985 to 2026
$69.5M
WASHINGTON UNIVERSITY ALZHEIMERS DISEASE RESEARCH CENTERP50AG005681 · NIA · WASHINGTON UNIVERSITY · PI MORRIS, JOHN · 1985 to 2019
$52.1M
The natural history of AB accumulation in preclinical ADP01AG026276 · NIA · WASHINGTON UNIVERSITY · PI SCHINDLER, SUZANNE ELIZABETH · 2005 to 2025
$49.5M
Research Education ComponentP30AG066444 · NIA · WASHINGTON UNIVERSITY · PI DAVID M. HOLTZMAN · 2020 to 2026
$28.7M
MORPHOMETRY BIOMEDICAL INFORMATICS RESEARCH NETWORKU24RR021382 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2004 to 2008
$24.1M
STRUCTURE, FUNCTION AND COGNITION IN SCHIZOPHRENIAP50MH071616 · NIMH · WASHINGTON UNIVERSITY · PI BARCH, DEANNA · 2004 to 2008
$11.2M
Functional-anatomic exploration of cognitive controlR01AG021910 · NIA · WASHINGTON UNIVERSITY · PI BUCKNER, RANDY L · 2005 to 2009
$1.2M
NCRR NIH HHS U24 RR021382NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS P30 AG066444NIA NIH HHS P50 AG005681NIA NIH HHS R01 AG021910NIMH NIH HHS P50 MH071616
6 · The paper itself

Abstract

Background: Age is one of the major risk factors for Alzheimer's disease (AD) which is considered the most common adult-onset dementia. There is little information about age-related changes during brain dementia. Methods: This study observed age-related variations in the brain throughout adulthood in magnetic resonance imaging (MRI) of the AD and healthy brains. The Open Access Series of Imaging Studies (OASIS) is used as a database. The method consists of design and develop a computer approach based on artificial intelligence (AI) to segment white matter (WM) from the MRI. Then, the number of pixels within the segmented white matter (WM) of the brain was calculated. Correlation was used to investigate age relation with WM changes in the normal and AD brain. Results: The WM change with aging was more correlated in AD group (rAD = -0.505, p-value = 0.0007) than control group (rControl = -0.357, p-value = 0.0001). Conclusion: Higher correlation of WM pixel counts with age in AD group approved that AD is characterized by the relevant involvement of the WM and age. Our approach gained additional information on the quantitative pathological changes associated with the AD as the most common brain disorder of the elderly.

Indexed as

Age-related brain variationAgingAlzheimer's diseaseMRIWhite matter

Identifiers

PMID39323777
PMCPMC11422027

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.