Evidence map›Paper›PMID 30890921›Full record

ArticleFrontiers in neuroanatomy2019

The Superoanterior Fasciculus (SAF): A Novel White Matter Pathway in the Human Brain?

Szabolcs David, Anneriet M Heemskerk, Francesco Corrivetti, Michel Thiebaut de Schotten, Silvio Sarubbo, Francesco Corsini, Alessandro De Benedictis, Laurent Petit, Max A Viergever, Derek K Jones and 5 more

Abstract read
In one paragraph

Article in Frontiers in neuroanatomy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
  2. Review
  3. Imaging of the superficial white matter in health and disease.Imaging neuroscience (Cambridge, Mass.) · 2024
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

15 authors.

Szabolcs DavidImage Sciences Institute, University Medical Center Utrecht and Utrecht University, Utrecht, Netherlands.
Anneriet M HeemskerkImage Sciences Institute, University Medical Center Utrecht and Utrecht University, Utrecht, Netherlands.
Francesco CorrivettiDepartment of Neurosurgery, Lariboisière Hospital, APHP, Paris, France.
Michel Thiebaut de SchottenCentre for Neuroimaging Sciences, Institute of Psychiatry, King's College London, London, United Kingdom.
Silvio SarubboStructural and Functional Connectivity Lab Project, Department of Emergency, Division of Neurosurgery, "S. Chiara" Hospital, Azienda Provinciale per i Servizi Sanitari (APSS), Trento, Italy.
Francesco CorsiniStructural and Functional Connectivity Lab Project, Department of Emergency, Division of Neurosurgery, "S. Chiara" Hospital, Azienda Provinciale per i Servizi Sanitari (APSS), Trento, Italy.
Alessandro De BenedictisDepartment of Neurosciences, Division of Neurosurgery, "Bambino Gesù" Children Hospital, IRCCS, Rome, Italy.
Laurent PetitGroupe d'Imagerie Neurofonctionnelle (GIN), Institut des Maladies Neurodégératives (IMN)-UMR5293-CNRS, CEA, Université de Bordeaux, Bordeaux, France.
Max A ViergeverImage Sciences Institute, University Medical Center Utrecht and Utrecht University, Utrecht, Netherlands.
Derek K JonesCardiff University Brain Research Imaging Centre, School of Psychology, Cardiff, United Kingdom.
Emmanuel MandonnetDepartment of Neurosurgery, Lariboisière Hospital, APHP, Paris, France.
Hubertus AxerHans Berger Department of Neurology, Jena University Hospital, Friedrich-Schiller University Jena, Jena, Germany.
John EvansCardiff University Brain Research Imaging Centre, School of Psychology, Cardiff, United Kingdom.
Tomáš PausBloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.
Alexander LeemansImage Sciences Institute, University Medical Center Utrecht and Utrecht University, Utrecht, Netherlands.

Funding

Axon, Testosterone and Mental Health during AdolescenceR01MH085772 · NIMH · BAYCREST CENTRE FOR GERIATRIC CARE · PI PAUS, TOMAS · 2010 to 2014
$1.5M
NIMH NIH HHS R01 MH085772Wellcome Trust
6 · The paper itself

Abstract

Fiber tractography (FT) using diffusion magnetic resonance imaging (dMRI) is widely used for investigating microstructural properties of white matter (WM) fiber-bundles and for mapping structural connections of the human brain. While studying the architectural configuration of the brain's circuitry with FT is not without controversy, recent progress in acquisition, processing, modeling, analysis, and visualization of dMRI data pushes forward the reliability in reconstructing WM pathways. Despite being aware of the well-known pitfalls in analyzing dMRI data and several other limitations of FT discussed in recent literature, we present the superoanterior fasciculus (SAF), a novel bilateral fiber tract in the frontal region of the human brain that-to the best of our knowledge-has not been documented. The SAF has a similar shape to the anterior part of the cingulum bundle, but it is located more frontally. To minimize the possibility that these FT findings are based on acquisition or processing artifacts, different dMRI data sets and processing pipelines have been used to describe the SAF. Furthermore, we evaluated the configuration of the SAF with complementary methods, such as polarized light imaging (PLI) and human brain dissections. The FT results of the SAF demonstrate a long pathway, consistent across individuals, while the human dissections indicate fiber pathways connecting the postero-dorsal with the antero-dorsal cortices of the frontal lobe.

Indexed as

braindiffusion MRIdissectionfiber tractographyneuroanatomypolarized light imagingsuperoanterior fasciculus

Identifiers

PMID30890921
PMCPMC6412356

What OpenQuestion holds

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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.