Evidence map›Paper›PMID 40328906›Full record

ReviewBrain structure & function2025

Real-time tractography: computation and visualization.

Maxime Chamberland, Joseph Yuan-Mou Yang, Dogu Baran Aydogan

Abstract readLetterReview
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. 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

3 authors.

Maxime ChamberlandDepartment of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, The Netherlands. m.chamberland@tue.nl.
Joseph Yuan-Mou YangDepartment of Neurosurgery, Neuroscience Advanced Clinical Imaging Service (NACIS), The Royal Children's Hospital, Melbourne, Australia.
Dogu Baran AydoganA.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland.

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek OCENW.M.22.352Royal Children's Hospital Foundation RCHF 2022-1402
6 · The paper itself

Abstract

Did you know that even though tractography is often considered a computationally expensive and offline process, the latest algorithms can now be performed in real-time without sacrificing accuracy? Interactive real-time tractography has proven to be valuable in surgical planning and has the potential to enhance neuromodulation therapies, highlighting the importance of speed and precision in the generation of tractograms. This demand has driven the development of nearly 50 visualization tools over the past two decades, with advances in interactive real-time tractography offering new possibilities and providing rich insights into brain connectivity.

Indexed as

BrainDiffusion Tensor ImagingImage Processing, Computer-AssistedAlgorithmsHumansNeural Pathways

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.