Evidence map›Paper›PMID 42327571›Full record

ArticleNeuroimage. Reports2026

Lower resting-state functional connectivity between frontoparietal and sensory networks is associated with recent pain intensity in a community sample of youth.

Carmen I Bango, Scott A Jones, Angelica M Morales, Sara Shao, Dani Y Del Rubin, Arturo Lopez Flores, Amy L Holley, Bonnie J Nagel, Anna C Wilson

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In one paragraph

Article in Neuroimage. Reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Carmen I BangoDepartment of Psychiatry, Oregon Health & Science University, Portland, OR, USA.
Scott A JonesDepartment of Psychiatry, Oregon Health & Science University, Portland, OR, USA.
Angelica M MoralesDepartment of Psychiatry, Oregon Health & Science University, Portland, OR, USA.
Sara ShaoDepartment of Psychiatry, Oregon Health & Science University, Portland, OR, USA.
Dani Y Del RubinDepartment of Psychiatry, Oregon Health & Science University, Portland, OR, USA.
Arturo Lopez FloresDepartment of Psychiatry, Oregon Health & Science University, Portland, OR, USA.
Amy L HolleyDepartment of Pediatrics, Institute on Development and Disability, Oregon Health & Science University, Portland, OR, USA.
Bonnie J NagelDepartment of Psychiatry, Oregon Health & Science University, Portland, OR, USA.
Anna C WilsonDepartment of Pediatrics, Institute on Development and Disability, Oregon Health & Science University, Portland, OR, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Self-reported pain symptoms are highly prevalent during adolescence and are associated with significant individual and societal burden; yet their neurobiological correlates remain insufficiently characterized, particularly in large, community-based cohorts. Identifying patterns in resting-state functional connectivity associated with adolescent pain characteristics may elucidate neural factors relevant to future pain and related health risks. The present cross-sectional study utilized linear mixed-effects models to examine associations between resting-state functional connectivity and past-month pain characteristics (average and worst pain intensity, pain-related limitations, daily pain duration, and number of pain body regions) in youth from Year 2 of the Adolescent Brain Cognitive Development Study (ABCD). No significant differences in connectivity were observed between youth with (n = 2,364, 47.7% female, average age = 12.04) or without (n = 4,447, 46.4% female, average age = 11.99) past-month pain. However, among youth reporting pain, higher

Indexed as

ABCD studyAdolescent painBrain networksFunctional magnetic resonance imagingPain intensityResting-state functional connectivity

Identifiers

PMID42327571
PMCPMC13279023

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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.