Evidence map›Paper›PMID 32917810›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Homeostatic mechanisms regulate distinct aspects of cortical circuit dynamics.

Yue Kris Wu, Keith B Hengen, Gina G Turrigiano, Julijana Gjorgjieva

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

50 citing papers in PubMed.

  1. Article
  2. Cell-Type-Specific Synaptic Scaling Mechanisms Differentially Contribute to Associative Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  3. Review
  4. Article
  5. A complex network perspective on brain disease.Biological reviews of the Cambridge Philosophical Society · 2026
    Review
  6. Article
  7. Article
  8. Modular arrangement of synaptic and intrinsic homeostatic plasticity within visual cortical circuits.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  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

4 authors.

Yue Kris WuComputation in Neural Circuits Group, Max Planck Institute for Brain Research, 60438 Frankfurt, Germany.
Keith B HengenDepartment of Biology, Brandeis University, Waltham, MA 02454.
Gina G TurrigianoDepartment of Biology, Brandeis University, Waltham, MA 02454; turrigiano@brandeis.edu gjorgjieva@brain.mpg.de.
Julijana GjorgjievaComputation in Neural Circuits Group, Max Planck Institute for Brain Research, 60438 Frankfurt, Germany; turrigiano@brandeis.edu gjorgjieva@brain.mpg.de.ORCID 0000-0001-7118-4079

Funding

Mechanisms and Function of Firing Rate Homeostasis in Cortical CircuitsR35NS111562 · NINDS · BRANDEIS UNIVERSITY · PI GINA G TURRIGIANO · 2019 to 2026
$7.3M
Gating of Firing Rate Homeostasis by Sleep and Wake States During Experience-Dependent PlasticityR01EY025613 · NEI · BRANDEIS UNIVERSITY · PI TURRIGIANO, GINA G · 2017 to 2025
$3.9M
Homeostatic Plasticity Mechanisms Support Brain Function in VivoR00NS089800 · NINDS · WASHINGTON UNIVERSITY · PI HENGEN, KEITH B. · 2017 to 2019
$747k
NEI NIH HHS R01 EY025613NINDS NIH HHS R00 NS089800NINDS NIH HHS R35 NS111562
6 · The paper itself

Abstract

Homeostasis is indispensable to counteract the destabilizing effects of Hebbian plasticity. Although it is commonly assumed that homeostasis modulates synaptic strength, membrane excitability, and firing rates, its role at the neural circuit and network level is unknown. Here, we identify changes in higher-order network properties of freely behaving rodents during prolonged visual deprivation. Strikingly, our data reveal that functional pairwise correlations and their structure are subject to homeostatic regulation. Using a computational model, we demonstrate that the interplay of different plasticity and homeostatic mechanisms can capture the initial drop and delayed recovery of firing rates and correlations observed experimentally. Moreover, our model indicates that synaptic scaling is crucial for the recovery of correlations and network structure, while intrinsic plasticity is essential for the rebound of firing rates, suggesting that synaptic scaling and intrinsic plasticity can serve distinct functions in homeostatically regulating network dynamics.

Indexed as

HomeostasisNeuronal PlasticityAnimalsNeuronsRodentiaSynapsesVisual Cortexcortical circuitsfunctional correlationhomeostasisintrinsic plasticitysynaptic scaling

Identifiers

PMID32917810
PMCPMC7533694

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.