Evidence map›Paper›PMID 34734458›Full record

SynthesisHuman brain mapping2022

Dysregulated anterior insula reactivity as robust functional biomarker for chronic pain-Meta-analytic evidence from neuroimaging studies.

Stefania Ferraro, Benjamin Klugah-Brown, Christopher R Tench, Shuxia Yao, Anna Nigri, Greta Demichelis, Chiara Pinardi, Maria Grazia Bruzzone, Benjamin Becker

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Human brain mapping, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

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  14. Synergistic deficits in parvalbumin interneurons and dopamine signaling drive ACC dysfunction in chronic pain.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

9 authors at 3 institutions in 3 countries.

Stefania FerraroThe Clinical Hospital of the Chengdu Brain Science Institute, School of Life Science and Technology, MOE Key Laboratory for Neuroinformation, High-Field Magnetic Resonance Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China.ORCID 0000-0002-5939-0459
Benjamin Klugah-BrownThe Clinical Hospital of the Chengdu Brain Science Institute, School of Life Science and Technology, MOE Key Laboratory for Neuroinformation, High-Field Magnetic Resonance Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China.
Christopher R TenchDivision of Clinical Neurosciences, Clinical Neurology, University of Nottingham, Queen's Medical Centre, Nottingham, UK.
Shuxia YaoThe Clinical Hospital of the Chengdu Brain Science Institute, School of Life Science and Technology, MOE Key Laboratory for Neuroinformation, High-Field Magnetic Resonance Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China.ORCID 0000-0002-5259-6374
Anna NigriNeuroradiology Department, Fondazione Istituto Neurologico Carlo Besta, Milan, Italy.
Greta DemichelisNeuroradiology Department, Fondazione Istituto Neurologico Carlo Besta, Milan, Italy.
Chiara PinardiNeuroradiology Department, Fondazione Istituto Neurologico Carlo Besta, Milan, Italy.
Maria Grazia BruzzoneNeuroradiology Department, Fondazione Istituto Neurologico Carlo Besta, Milan, Italy.
Benjamin BeckerThe Clinical Hospital of the Chengdu Brain Science Institute, School of Life Science and Technology, MOE Key Laboratory for Neuroinformation, High-Field Magnetic Resonance Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China.ORCID 0000-0002-9014-9671
Fondazione IRCCS Istituto Neurologico Carlo Besta · ITUniversity of Electronic Science and Technology of China · CNUniversity of Nottingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neurobiological pain models propose that chronic pain is accompanied by neurofunctional changes that mediate pain processing dysfunctions. In contrast, meta-analyses of neuroimaging studies in chronic pain conditions have not revealed convergent evidence for robust alterations during experimental pain induction. Against this background, the present neuroimaging meta-analysis combined three different meta-analytic approaches with stringent study selection criteria for case-control functional magnetic resonance imaging experiments during acute pain processing with a focus on chronic pain disorders. Convergent neurofunctional dysregulations in chronic pain patients were observed in the left anterior insula cortex. Seed-based resting-state functional connectivity based on a large publicly available dataset combined with a meta-analytic task-based approach identified the anterior insular region as a key node of an extended bilateral insula-fronto-cingular network, resembling the salience network. Moreover, the meta-analytic decoding showed that this region presents a high probability to be specifically activated during pain-related processes, although we cannot exclude an involvement in autonomic processes. Together, the present findings indicate that dysregulated left anterior insular activity represents a robust neurofunctional maladaptation and potential treatment target in chronic pain disorders.

Indexed as

Functional NeuroimagingChronic PainHumansInsular CortexABCALEchronic painfunctional magnetic resonance imagingmeta-analysis

Identifiers

PMID34734458
PMCPMC8764475
OpenAlexW3209477253

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.