Evidence map›Paper›PMID 40369308›Full record

ArticleBrain structure & function2025

Enhanced structural brain connectivity analyses using high diffusion-weighting strengths.

Leyao Yu, Adeen Flinker, Jelle Veraart

Abstract read
In one paragraph

Article in Brain structure & function, 2025. 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

3 authors.

Leyao YuDepartment of Biomedical Engineering, NYU Tandon School of Engineering, Brooklyn, USA. yul09@nyu.edu.
Adeen FlinkerDepartment of Biomedical Engineering, NYU Tandon School of Engineering, Brooklyn, USA.
Jelle VeraartDepartment of Neurology, NYU Grossman School of Medicine, New York, USA.

Funding

TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Daniel K Sodickson · 2014 to 2026
$19.3M
Spatiotemporal Organization of the Inferior Frontal Gyrus During Speech Production - Resubmission - 1R01NS109367 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI FLINKER, ADEEN · 2019 to 2023
$2.8M
Multiscale Modeling of Brain Aging and Alzheimer’s Disease with MRI, Pathology and ProteomicsR21AG087904 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI FIEREMANS, ELS · 2024 to 2025
$466k
NIA NIH HHS R21 AG087904NIBIB NIH HHS P41 EB017183NIH HHS P41 EB017183NIH HHS R01NS109367
6 · The paper itself

Abstract

Tractography is a unique modality for the in vivo measurement of structural connectivity, crucial for understanding brain networks and neurological conditions. With increasing b-value, the diffusion-weighting signal becomes primarily sensitive to the intra-axonal signal. However, it remains unclear how tractography is affected by this observation. Here, using open-source datasets, we showed that at high b-values, DWI reduces the uncertainty in estimating fiber orientations. Specifically, we found the ratio of biologically-meaningful longer-range connections increases, accompanied with downstream impact of redistribution of connectome and network metrics. However, when going beyond b = 6000 s/mm

Indexed as

BrainConnectomeDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingAdultFemaleHumansImage Processing, Computer-AssistedMaleNeural PathwaysReproducibility of Results

Identifiers

PMID40369308
PMCPMC13074470

What OpenQuestion holds

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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.