Evidence map›Paper›PMID 36322764›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Structure-function subsystem model and computational lesions of the central nervous system's rostral sector (forebrain and midbrain).

Larry W Swanson, Joel D Hahn, Olaf Sporns

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Intrinsic neuronal network organization of a mammalian peripheral nervous system.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. The intrinsic neuronal network of the central nervous system and its modular (subsystem) architecture in a mammal.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
  5. Article
  6. Neural network architecture of a mammalian brain.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  7. Network architecture of intrinsic connectivity in a mammalian spinal cord (the central nervous system's caudal sector).Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Intrinsic circuitry of the rhombicbrain (central nervous system's intermediate sector) in a mammal.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  9. 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 2 institutions in 1 country.

Larry W SwansonDepartment of Biological Sciences, University of Southern California, Los Angeles, CA 90089.ORCID 0000-0002-4260-3892
Joel D HahnDepartment of Biological Sciences, University of Southern California, Los Angeles, CA 90089.ORCID 0000-0003-4024-0247
Olaf SpornsIndiana University Network Science Institute, Indiana University, Bloomington, IN 47405.
University of Southern California · USIndiana University Bloomington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The craniote central nervous system has been divided into rostral, intermediate, and caudal sectors, with the rostral sector containing the vertebrate forebrain and midbrain. Here, network science tools were used to create and analyze a rat hierarchical structure-function subsystem model of intrarostral sector neural connectivity between gray matter regions. The hierarchy has 109 bottom-level subsystems and three upper-level subsystems corresponding to voluntary behavior control, cognition, and affect; instinctive survival behaviors and homeostasis; and oculomotor control. As in previous work, subsystems identified based on their coclassification as network communities are revealed as functionally related. We carried out focal perturbations of neural structural connectivity comprehensively by computationally lesioning each region of the network, and the resulting effects on the network's modular (subsystem) organization were systematically mapped and measured. The pattern of changes was found to be correlated with three structural attributes of the lesioned region: region centrality (degree, strength, and betweenness), region position in the hierarchy, and subsystem distribution of region neural outputs and inputs. As expected, greater region centrality results, on average, in stronger lesion impact and more distributed lesion effects. In addition, our analysis suggests that strongly functionally related regions, belonging to the same bottom-level subsystem, exhibit similar effects after lesioning. These similarities account for coherent patterns of disturbances that align with subsystem boundaries and propagate through the network. These systematic lesion effects and their similarity across functionally related regions are of potential interest for theoretical, experimental, and clinical studies.

Indexed as

Cerebral CortexProsencephalonAnimalsMesencephalonRatsbehavioral stateconnectomicsmotivationneuroinformaticsreward

Identifiers

PMID36322764
PMCPMC9661186
OpenAlexW4308145684

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.