Evidence map›Paper›PMID 30264235›Full record

ReviewBrain structure & function2019

Topological principles and developmental algorithms might refine diffusion tractography.

Giorgio M Innocenti, Tim B Dyrby, Gabriel Girard, Etienne St-Onge, Jean-Philippe Thiran, Alessandro Daducci, Maxime Descoteaux

Open access · hybridAbstract readReview
In one paragraph

Review in Brain structure & function, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.5field-weighted citation impact, top 10% of its field
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

3 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

7 authors at 5 institutions in 5 countries.

Giorgio M InnocentiDepartment of Neuroscience, Karolinska Institutet, Stockholm, Sweden. giorgio.innocenti@ki.se.
Tim B DyrbyDanish Research Centre for Magnetic Resonance, Center for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark.
Gabriel GirardSignal Processing Laboratory (LT55) Ecole Polytechnique Féderale de Lausanne (EPFL-STI-IEL-LT55), Station 11, 1015, Lausanne, Switzerland.
Etienne St-OngeSherbrooke Connectivity Imaging Laboratory (SCIL), Computer Science Department, Faculty of Science, Université de Sherbrooke, Quebec, Canada.
Jean-Philippe ThiranSignal Processing Laboratory (LT55) Ecole Polytechnique Féderale de Lausanne (EPFL-STI-IEL-LT55), Station 11, 1015, Lausanne, Switzerland.
Alessandro DaducciComputer Science Department, University of Verona, Verona, Italy.
Maxime DescoteauxSherbrooke Connectivity Imaging Laboratory (SCIL), Computer Science Department, Faculty of Science, Université de Sherbrooke, Quebec, Canada.
École Polytechnique Fédérale de Lausanne · CHUniversité de Sherbrooke · CATechnical University of Denmark · DKUniversity of Lausanne · CHUniversity of Verona · IT

Funding

Center for Biomedical Imaging (CIBM) of the Geneva-Lausanne Universities and EPFL, the Leenaards and Louis-Jeantet Foundations, the Swiss National Science Foundation grant 31003A_157063
6 · The paper itself

Abstract

The identification and reconstruction of axonal pathways in the living brain or "ex-vivo" is promising a revolution in connectivity studies bridging the gap from animal to human neuroanatomy with extensions to brain structural-functional correlates. Unfortunately, the methods suffer from juvenile drawbacks. In this perspective paper we mention several computational and developmental principles, which might stimulate a new generation of algorithms and a discussion bridging the neuroimaging and neuroanatomy communities.

Indexed as

AlgorithmsAnimalsAxonsBrainBrain MappingDiffusion Tensor ImagingHumansImage Interpretation, Computer-AssistedModels, NeurologicalNeural PathwaysNeurogenesisNeuroimagingPredictive Value of TestsAxonsBrain developmentBrain pathwaysDiffusion MRITractography

Identifiers

PMID30264235
PMCPMC6373358
OpenAlexW2893406291

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.