Evidence map›Paper›PMID 40343560›Full record

ReviewBrain structure & function2025

Understanding tractography in edematous brain regions: challenges and solutions.

Shin Tai Chong, Joseph Yuan-Mou Yang, Ching-Po Lin

Abstract readReview
PubMed Publisher
In one paragraph

Review 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.

Shin Tai ChongInstitute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan.ORCID http://orcid.org/0000-0002-1980-2041
Joseph Yuan-Mou YangDepartment of Neurosurgery, Neuroscience Advanced Clinical Imaging Service (NACIS), Royal Children's Hospital, Parkville, Melbourne, Australia.ORCID http://orcid.org/0000-0003-4081-7157
Ching-Po LinInstitute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan. chingpolin@gmail.com.ORCID http://orcid.org/0000-0001-6848-8776

Funding

National Science and Technology Council 113-2321-B-A49-015Royal Children's Hospital Foundation RCHF 2022-1402
6 · The paper itself

Abstract

Fiber tractography is a powerful method for visualizing the complex network of neural connections in the brain, essential for understanding white matter architecture and guiding neurosurgical procedures. However, brain edema presents significant challenges for accurate tractography due to altered diffusion patterns that can obscure critical pathways. The increased isotropic diffusion in edematous regions disrupts traditional diffusion tensor imaging (DTI), limiting its ability to delineate fiber tracts reliably. This article explores the impact of edema on tractography and reviews recent advancements in diffusion models, including Free Water Imaging (FWI), Neurite Orientation Dispersion and Density Imaging (NODDI), Restriction Spectrum Imaging (RSI), Diffusion Basis Spectrum Imaging (DBSI), and Unscented Kalman Filter (UKF) tractography. These advanced techniques mitigate the limitations of conventional DTI by separating diffusion signals into multiple compartments, utilizing higher b-value encodings, and improving tract in heterogeneous environments. By enhancing the accuracy and reliability of fiber tracking, these approaches have significant implications for clinical applications, particularly in neurosurgical planning and connectivity analysis.

Indexed as

BrainBrain EdemaDiffusion Tensor ImagingWhite MatterAnimalsHumansImage Processing, Computer-AssistedBrain edemaDiffusion MRIFiber tractographyNeurosurgery

Identifiers

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.