Evidence map›Paper›PMID 40626096›Full record

ArticleFrontiers in pain research (Lausanne, Switzerland)2025

Disruptions in cortical circuit connectivity distinguish widespread hyperalgesia from localized pain.

George Kenefati, Mika M Rockholt, Katherine Eisert, Qiaosheng Zhang, Deborah Ok, Christopher G Gharibo, Lucia Daiana Voiculescu, Lisa V Doan, Zhe Sage Chen, Jing Wang

Abstract read
In one paragraph

Article in Frontiers in pain research (Lausanne, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

10 authors.

George Kenefati *Department of Anesthesiology, Perioperative Care and Pain Medicine, New York University Grossman School of Medicine, New York, NY, United States.
Mika M Rockholt *Department of Anesthesiology, Perioperative Care and Pain Medicine, New York University Grossman School of Medicine, New York, NY, United States.
Katherine EisertDepartment of Anesthesiology, Perioperative Care and Pain Medicine, New York University Grossman School of Medicine, New York, NY, United States.
Qiaosheng ZhangDepartment of Anesthesiology, Perioperative Care and Pain Medicine, New York University Grossman School of Medicine, New York, NY, United States.
Deborah OkDepartment of Anesthesiology, Perioperative Care and Pain Medicine, New York University Grossman School of Medicine, New York, NY, United States.
Christopher G GhariboDepartment of Anesthesiology, Perioperative Care and Pain Medicine, New York University Grossman School of Medicine, New York, NY, United States.
Lucia Daiana VoiculescuDepartment of Anesthesiology, Perioperative Care and Pain Medicine, New York University Grossman School of Medicine, New York, NY, United States.
Lisa V DoanDepartment of Anesthesiology, Perioperative Care and Pain Medicine, New York University Grossman School of Medicine, New York, NY, United States.
Zhe Sage ChenInterdisciplinary Pain Research Program, New York University Grossman School of Medicine, New York, NY, United States.
Jing WangDepartment of Anesthesiology, Perioperative Care and Pain Medicine, New York University Grossman School of Medicine, New York, NY, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study aims to investigate the interregional functional connectivity in chronic back pain patients with widespread hyperalgesia, patients with localized back pain, and pain-free controls using stimulus-evoked high-density EEG recordings. Methods: We conducted high-density EEG recordings to compare the functional connectivity and betweenness centrality between these groups. Results: Compared with controls, chronic pain patients showed altered functional connectivity between regions that process cognitive information and regions that process sensory or affective information. Widespread hyperalgesia, however, is further differentiated from localized pain by decreased inter-hemispheric connectivity of sensory and affective areas and increased intra-hemispheric connectivity between sensory and cognitive cortices. Graph-theoretic analysis showed that whereas chronic pain is associated with decreased centrality of prefrontal, orbitofrontal, and cingulate areas, widespread hyperalgesia is distinguished by increased centrality of prefrontal and insular areas. Discussion: Together, our results show that although widespread hyperalgesia shares certain features with localized pain, it is further characterized by distinct cortical mechanisms.

Indexed as

chronic low back painchronic painEEGfunctional connectivityhyperalgesiapain mechanismspain phenotyping

Identifiers

PMID40626096
PMCPMC12231525

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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.