Evidence map›Paper›PMID 34052466›Full record

ArticleNeuroImage2021

Brain network reorganization after targeted attack at a hub region.

Wenyu Tu, Zilu Ma, Nanyin Zhang

Abstract read
In one paragraph

Article in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Where do we stand on fMRI in awake mice?Cerebral cortex (New York, N.Y. : 1991) · 2024
    Pooled it
  2. Excitatory and inhibitory networks diverge following early blindness.Cerebral cortex (New York, N.Y. : 1991) · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Mapping global brain reconfigurations following local targeted manipulations.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Article
  9. Article
  10. Perturbing cortical networks:Frontiers in neuroscience · 2024
    Article
  11. Article
  12. Review
  13. Article
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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.

Wenyu TuNeuroscience Program, The Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA 16802, USA.
Zilu MaDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA 16802, USA.
Nanyin ZhangNeuroscience Program, The Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA 16802, USA; Department of Biomedical Engineering, The Pennsylvania State University, University Park, PA 16802, USA. Electronic address: nuz2@psu.edu.

Funding

Mechanistic dissection of the neural basis of the resting-state fMRI signal using multi-modal approachesRF1MH114224 · NIMH · PENNSYLVANIA STATE UNIVERSITY, THE · PI DREW, PATRICK JAMES, ZHANG, NANYIN · 2017 to 2018
$3.8M
Resting-state Neural Networks in Awake RodentsR01NS085200 · NINDS · PENNSYLVANIA STATE UNIVERSITY, THE · PI ZHANG, NANYIN · 2013 to 2024
$3.4M
NIMH NIH HHS RF1 MH114224NINDS NIH HHS R01 NS085200
6 · The paper itself

Abstract

The architecture of brain networks has been extensively studied in multiple species. However, exactly how the brain network reconfigures when a local region, particularly a hub region, stops functioning remains elusive. By combining chemogenetics and resting-state functional magnetic resonance imaging (rsfMRI) in an awake rodent model, we investigated the causal impact of acutely inactivating a hub region (i.e. the dorsal anterior cingulate cortex) on brain network properties. We found that suppressing neural activity in a hub could have a ripple effect that went beyond the hub-related connections and propagated to other neural connections across multiple brain systems. In addition, hub dysfunction affected the topological architecture of the whole-brain network in terms of the network resilience and segregation. Selectively inhibiting excitatory neurons in the hub further changed network integration. None of these changes were observed in sham rats or when a non-hub region (i.e. the primary visual cortex) was perturbed. This study has established a system that allows for mechanistically dissecting the relationship between local regions and brain network properties. Our data provide direct evidence supporting the hypothesis that acute dysfunction of a brain hub can cause large-scale network changes. These results also provide a comprehensive framework documenting the differential impact of hub versus non-hub nodes on network dynamics.

Indexed as

ConnectomeMagnetic Resonance ImagingAnimalsBrainMaleModels, TheoreticalNerve NetNeuronal PlasticityRatsRats, Long-EvansReproducibility of ResultsAwakeDREADDGraph theoryRatResting-state fMRI

Identifiers

PMID34052466
PMCPMC8289586

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.