Evidence map›Paper›PMID 35311218›Full record

ArticleFrontiers in computational neuroscience2022

Explosive Synchronization-Based Brain Modulation Reduces Hypersensitivity in the Brain Network: A Computational Model Study.

MinKyung Kim, Richard E Harris, Alexandre F DaSilva, UnCheol Lee

Open access · goldAbstract read
In one paragraph

Article in Frontiers in computational neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Proximity to explosive synchronization determines network collapse and recovery trajectories in neural and economic crises.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

4 authors at 1 institution in 1 country.

MinKyung KimDepartment of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, United States.
Richard E HarrisChronic Pain and Fatigue Research Center, Department of Anesthesiology, University of Michigan, Ann Arbor, MI, United States.
Alexandre F DaSilvaHeadache & Orofacial Pain Effort Laboratory, Biologic & Materials Sciences Department, University of Michigan School of Dentistry, Ann Arbor, MI, United States.
UnCheol LeeDepartment of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, United States.
University of Michigan–Ann Arbor · US

Funding

Investigation and Modulation of the Central Mu-Opioid Mechanism in Migraine (in vivo)R01NS094413 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ALEXANDRE DASILVA · 2015 to 2026
$4.3M
Explosive Synchronization of Brain Network Activity in Chronic PainR01AT010060 · NCCIH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DASILVA, ALEXANDRE, HARRIS, RICHARD E · 2019 to 2023
$3.6M
Investigation and Modulation of the Mu-Opioid Mechanism in Chronic TMD (in vivo)U01DE025633 · NIDCR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DASILVA, ALEXANDRE · 2016 to 2020
$2.4M
NCCIH NIH HHS R01 AT010060NIDCR NIH HHS U01 DE025633NINDS NIH HHS R01 NS094413
6 · The paper itself

Abstract

Fibromyalgia (FM) is a chronic pain condition that is characterized by hypersensitivity to multimodal sensory stimuli, widespread pain, and fatigue. We have previously proposed explosive synchronization (ES), a phenomenon wherein a small perturbation to a network can lead to an abrupt state transition, as a potential mechanism of the hypersensitive FM brain. Therefore, we hypothesized that converting a brain network from ES to general synchronization (GS) may reduce the hypersensitivity of FM brain. To find an effective brain network modulation to convert ES into GS, we constructed a large-scale brain network model near criticality (i.e., an optimally balanced state between order and disorders), which reflects brain dynamics in conscious wakefulness, and adjusted two parameters: local structural connectivity and signal randomness of target brain regions. The network sensitivity to global stimuli was compared between the brain networks before and after the modulation. We found that only increasing the local connectivity of hubs (nodes with intense connections) changes ES to GS, reducing the sensitivity, whereas other types of modulation such as decreasing local connectivity, increasing and decreasing signal randomness are not effective. This study would help to develop a network mechanism-based brain modulation method to reduce the hypersensitivity in FM.

Indexed as

brain network controlbrain network modelbrain stimulationchronic painexplosive synchronizationhypersensitivitystate transitionstimulation

Identifiers

PMID35311218
PMCPMC8927545
OpenAlexW4220733387

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.