Evidence map›Paper›PMID 32557893›Full record

ReviewJournal of magnetic resonance imaging : JMRI2021

Mapping Structural Connectivity Using Diffusion MRI: Challenges and Opportunities.

Chun-Hung Yeh, Derek K Jones, Xiaoyun Liang, Maxime Descoteaux, Alan Connelly

Abstract readReview
In one paragraph

Review in Journal of magnetic resonance imaging : JMRI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
98citing papers in PubMed, 1 pooled it
–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

98 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  11. A Virtual Clinical Trial of Psychedelics to Treat Patients With Disorders of Consciousness.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  12. Article
  13. Designing Neural Dynamics: From Digital Twin Modeling to Regeneration.International journal of molecular sciences · 2025
    Review
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38 more citing papers are in PubMed but not listed here.

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.

Chun-Hung YehInstitute for Radiological Research, Chang Gung University and Chang Gung Memorial Hospital, Taoyuan, Taiwan.ORCID 0000-0001-5727-9346
Derek K JonesCardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK.ORCID 0000-0003-4409-8049
Xiaoyun LiangFlorey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia.ORCID 0000-0002-1851-3408
Maxime DescoteauxSherbrooke Connectivity Imaging Laboratory (SCIL), Université de Sherbrooke, Sherbrooke, Quebec, Canada.ORCID 0000-0002-8191-2129
Alan ConnellyFlorey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia.

Funding

Wellcome Trust 096646Wellcome Trust 096646/Z/11/ZWellcome Trust 104943Wellcome Trust 104943/Z/14/Z
6 · The paper itself

Abstract

Diffusion MRI-based tractography is the most commonly-used technique when inferring the structural brain connectome, i.e., the comprehensive map of the connections in the brain. The utility of graph theory-a powerful mathematical approach for modeling complex network systems-for analyzing tractography-based connectomes brings important opportunities to interrogate connectome data, providing novel insights into the connectivity patterns and topological characteristics of brain structural networks. When applying this framework, however, there are challenges, particularly regarding methodological and biological plausibility. This article describes the challenges surrounding quantitative tractography and potential solutions. In addition, challenges related to the calculation of global network metrics based on graph theory are discussed.Evidence Level: 5Technical Efficacy: Stage 1.

Indexed as

ConnectomeImage Processing, Computer-AssistedBrainDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingNeural Pathwaysconnectomicsdiffusion MRIgraph theoretical analysisnetwork metricsstructural connectometractography

Identifiers

PMID32557893
PMCPMC7615246

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.