Evidence map›Paper›PMID 30234180›Full record

ArticleNetwork neuroscience (Cambridge, Mass.)2018

Estimating the impact of structural directionality: How reliable are undirected connectomes?

Penelope Kale, Andrew Zalesky, Leonardo L Gollo

Abstract read
In one paragraph

Article in Network neuroscience (Cambridge, Mass.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Broken detailed balance and entropy production in the human brain.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. The road ahead in clinical network neuroscience.Network neuroscience (Cambridge, Mass.) · 2019
    Review
  16. Article
  17. Article
  18. Biophysical Modeling of Large-Scale Brain Dynamics and Applications for Computational Psychiatry.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2018
    Review
  19. Article
  20. Editorial: New Trends in Connectomics.Network neuroscience (Cambridge, Mass.) · 2018
    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

3 authors.

Penelope KaleQIMR Berghofer Medical Research Institute, Australia.
Andrew ZaleskyMelbourne Neuropsychiatry Centre and Department of Biomedical Engineering, University of Melbourne, Australia.
Leonardo L GolloQIMR Berghofer Medical Research Institute, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Directionality is a fundamental feature of network connections. Most structural brain networks are intrinsically directed because of the nature of chemical synapses, which comprise most neuronal connections. Because of the limitations of noninvasive imaging techniques, the directionality of connections between structurally connected regions of the human brain cannot be confirmed. Hence, connections are represented as undirected, and it is still unknown how this lack of directionality affects brain network topology. Using six directed brain networks from different species and parcellations (cat, mouse,

Indexed as

ConnectomeDirectionalityFalse positivesGraph theoryHubsStructural connectivity

Identifiers

PMID30234180
PMCPMC6135560

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.