Evidence map›Paper›PMID 40788365›Full record

ArticleBrain structure & function2025

A thousand ways to tailor your tractography-based connectome.

Alessandra Griffa, Francois Rheault, Alessandro Daducci, Andrew Zalesky

Abstract readLetter
PubMed Publisher
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. Review
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.

Alessandra GriffaLeenaards Memory Centre, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Chem. de Mont-Paisible 16, 1011, Lausanne, Switzerland. alessandra.griffa@gmail.com.
Francois RheaultSherbrooke Connectivity Imaging Lab (SCIL), Computer Science Department, Université de Sherbrooke, Sherbrooke, Canada.
Alessandro DaducciDepartment of Computer Science, University of Verona, Verona, Italy.
Andrew ZaleskyDepartment of Biomedical Engineering, The University of Melbourne, Melbourne, VIC, Australia.

Funding

Hôpitaux Universitaires de Genève 8-2019-IIMinistero dell'Istruzione, dell'Università e della Ricerca 2022PXR8ZX
6 · The paper itself

Abstract

Did you know that there are thousands of ways to build a connectome from diffusion MRI tractography, and the choice of approach can hugely impact the final connectome and results? To name only a few: Tractography type: deterministic or probabilistic? Parcellation resolution: coarse or fine atlas? Edge weighting: streamline count, length, or microstructural properties? These choices give rise to a daunting garden of forking paths. In this article, we revise fundamental decisions you must make when planning to build a tractography-based connectome and their impact on its network analysis.

Indexed as

BrainConnectomeDiffusion Tensor ImagingHumansImage Processing, Computer-AssistedNeural Pathways

Identifiers

PMID40788365

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.