Evidence map›Paper›PMID 35350585›Full record

ReviewNetwork neuroscience (Cambridge, Mass.)2022

Edges in brain networks: Contributions to models of structure and function.

Joshua Faskowitz, Richard F Betzel, Olaf Sporns

Open access · goldAbstract readReview
In one paragraph

Review in Network neuroscience (Cambridge, Mass.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 12% 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

51 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Brain Architecture of Punishment Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Hypergraph reconstruction from dynamics.Nature communications · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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 at 1 institution in 1 country.

Joshua FaskowitzProgram in Neuroscience, Indiana University, Bloomington, IN, USA.ORCID https://orcid.org/0000-0003-1814-7206
Richard F BetzelProgram in Neuroscience, Indiana University, Bloomington, IN, USA.ORCID https://orcid.org/0000-0001-9200-1681
Olaf SpornsProgram in Neuroscience, Indiana University, Bloomington, IN, USA.ORCID https://orcid.org/0000-0001-7265-4036
Indiana University Bloomington · US

Funding

CRCNS: The Evolution of the Mammalian ConnectomeR01MH122957 · NIMH · TRUSTEES OF INDIANA UNIVERSITY · PI SPORNS, OLAF · 2019 to 2021
$485k
NIMH NIH HHS R01 MH122957
6 · The paper itself

Abstract

Network models describe the brain as sets of nodes and edges that represent its distributed organization. So far, most discoveries in network neuroscience have prioritized insights that highlight distinct groupings and specialized functional contributions of network nodes. Importantly, these functional contributions are determined and expressed by the web of their interrelationships, formed by network edges. Here, we underscore the important contributions made by brain network edges for understanding distributed brain organization. Different types of edges represent different types of relationships, including connectivity and similarity among nodes. Adopting a specific definition of edges can fundamentally alter how we analyze and interpret a brain network. Furthermore, edges can associate into collectives and higher order arrangements, describe time series, and form edge communities that provide insights into brain network topology complementary to the traditional node-centric perspective. Focusing on the edges, and the higher order or dynamic information they can provide, discloses previously underappreciated aspects of structural and functional network organization.

Indexed as

ConnectivityConnectomeEdgeNetworkNetwork communicationNetwork constructionStructure function relationship

Identifiers

PMID35350585
PMCPMC8942607
OpenAlexW3161952579

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.