Evidence map›Paper›PMID 42366258›Full record

ArticleScientific reports2026

High angular resolution diffusion imaging of neurodevelopment in children through data creation with deep learning.

Olayinka Oladosu, Fanny Lo, Bryce Geeraert, Catherine Lebel, Yunyan Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Olayinka OladosuDepartment of Radiology, Cumming School of Medicine, University of Calgary, Calgary, AB, T2N 4N1, Canada. olayinka.oladosu1@ucalgary.ca.
Fanny LoDepartment of Electrical and Software Engineering, Schulich School of Engineering, University of Calgary, Calgary, AB, T2N 1N4, Canada.
Bryce GeeraertAlberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, T2N 4N1, Canada.
Catherine LebelDepartment of Radiology, Cumming School of Medicine, University of Calgary, Calgary, AB, T2N 4N1, Canada.
Yunyan ZhangDepartment of Radiology, Cumming School of Medicine, University of Calgary, Calgary, AB, T2N 4N1, Canada. yunyzhan@ucalgary.ca.ORCID https://orcid.org/0000-0001-7440-5420

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-angular resolution diffusion imaging (HARDI) is an advanced method for characterizing brain microstructure and function. However, HARDI is time-consuming limiting real-world applications, especially in children. We aimed to address the challenge by creating non-acquired HARDI data through deep learning and testing utility in neurodevelopment. Brain diffusion magnetic resonance imaging from 95 children aged 2-10 years (49 females) were examined. Each subject included two source b-value datasets: 750 s/mm

Indexed as

Data creationDeep learningHigh angular resolution diffusion imagingNeurodevelopmentPediatric imagingTract-based analysis

Identifiers

PMID42366258
PMCPMC13600925

What OpenQuestion holds

Textmetadata
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.