Evidence map›Paper›PMID 36926113›Full record

ArticleFrontiers in network physiology2022

Heterogeneous mechanisms for synchronization of networks of resonant neurons under different E/I balance regimes.

Jiaxing Wu, Sara J Aton, Victoria Booth, Michal Zochowski

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Article in Frontiers in network physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Neuronal hypofunction and network dysfunction in a mouse model at an early stage of tauopathy.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  2. Role of the Locus Coeruleus Arousal Promoting Neurons in Maintaining Brain Criticality across the Sleep-Wake Cycle.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  3. Review
  4. 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.

Jiaxing WuApplied Physics Program, University of Michigan, Ann Arbor, MI, United States.
Sara J AtonDepartment of Molecular, Cellular and Developmental Biology, University of Michigan, Ann Arbor, MI, United States.
Victoria BoothDepartment of Mathematics, University of Michigan, Ann Arbor, MI, United States.
Michal ZochowskiApplied Physics Program, University of Michigan, Ann Arbor, MI, United States.

Funding

Thalamocortical and corticocortical mechanisms for sleep-dependent visual learningR01NS104776 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ATON, SARA J · 2018 to 2022
$1.9M
Linking interneuron-mediated circuit regulation with sleep-dependent plasticity and memory storage in the hippocampusRF1NS118440 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ATON, SARA J · 2020 to 2020
$1.4M
Linking interneuron-mediated circuit regulation with sleep-dependent plasticity and memory storage in the hippocampusR01NS118440 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ATON, SARA J · 2023 to 2024
$880k
NINDS NIH HHS R01 NS104776NINDS NIH HHS R01 NS118440NINDS NIH HHS RF1 NS118440
6 · The paper itself

Abstract

Rhythmic synchronization of neuronal firing patterns is a widely present phenomenon in the brain-one that seems to be essential for many cognitive processes. A variety of mechanisms contribute to generation and synchronization of network oscillations, ranging from intrinsic cellular excitability to network mediated effects. However, it is unclear how these mechanisms interact together. Here, using computational modeling of excitatory-inhibitory neural networks, we show that different synchronization mechanisms dominate network dynamics at different levels of excitation and inhibition (i.e. E/I levels) as synaptic strength is systematically varied. Our results show that with low synaptic strength networks are sensitive to external oscillatory drive as a synchronizing mechanism-a hallmark of resonance. In contrast, in a strongly-connected regime, synchronization is driven by network effects via the direct interaction between excitation and inhibition, and spontaneous oscillations and cross-frequency coupling emerge. Unexpectedly, we find that while excitation dominates network synchrony at low excitatory coupling strengths, inhibition dominates at high excitatory coupling strengths. Together, our results provide novel insights into the oscillatory modulation of firing patterns in different excitation/inhibition regimes.

Indexed as

computational modelingE/I balanceneural oscillationsspatio-temporal network dynamicssynchronization

Identifiers

PMID36926113
PMCPMC10013004

What Socratic holds

Textfull text, public
LicenceCC BY
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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 Socratic graph.