Evidence map›Paper›PMID 40022281›Full record

ArticleBrain and behavior2025

Baseline Functional Connectivity of the Mesolimbic, Salience, and Sensorimotor Systems Predicts Responses to Psychological Therapies for Chronic Low Back Pain With Comorbid Depression: A Functional MRI Study.

Sonia Medina, Carlos G Forero, Juan P Sanabria-Mazo, Carla Rodríguez-Freire, Jaime Navarrete, Owen G O'Daly, Matthew A Howard, Juan V Luciano

Abstract read
In one paragraph

Article in Brain and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

8 authors.

Sonia MedinaDepartment of Neuroimaging, King's College London, London, UK.ORCID https://orcid.org/0000-0001-8883-6520
Carlos G ForeroSchool of Medicine, Universitat Internacional de Catalunya, Sant Cugat del Vallès, Spain.ORCID https://orcid.org/0000-0002-5245-0076
Juan P Sanabria-MazoTeaching, Research & Innovation Unit, Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Spain.ORCID https://orcid.org/0000-0003-1688-435X
Carla Rodríguez-FreireTeaching, Research & Innovation Unit, Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Spain.ORCID https://orcid.org/0009-0006-6728-5778
Jaime NavarreteTeaching, Research & Innovation Unit, Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Spain.ORCID https://orcid.org/0000-0002-9482-4822
Owen G O'DalyDepartment of Neuroimaging, King's College London, London, UK.ORCID https://orcid.org/0000-0001-5690-1252
Matthew A HowardDepartment of Neuroimaging, King's College London, London, UK.ORCID https://orcid.org/0000-0002-9359-3057
Juan V LucianoTeaching, Research & Innovation Unit, Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Spain.ORCID https://orcid.org/0000-0003-0750-1599

Funding

CIBER of Epidemiology and Public Health CB22/02/00052Instituto de Salud Carlos III FI20/00034Instituto de Salud Carlos III ICI20/00080Instituto de Salud Carlos III PI16/00165Instituto de Salud Carlos III PI19/00112Medical Research Council Experimental Medicine Challenge Grant MR/N026969/1NIHR Biomedical Research Centre
6 · The paper itself

Abstract

introductionChronic low back pain (CLBP) is a prevalent and debilitating condition. Cognitive behavioral therapy (CBT) can improve coping mechanisms for CLBP and pain-related outcomes. However, the mechanisms by which they do so remain undetermined. We explored the neural correlates of CLBP symptoms and CBT action using functional magnetic resonance imaging (fMRI) in women with CLBP and comorbid depression.

methodsForty individuals underwent fMRI followed by 8 weeks of either treatment as usual (TAU) or one of two CBT in addition to TAU: acceptance and commitment therapy (ACT) or behavioral activation treatment for depression (BATD). Pain intensity, depression, psychological inflexibility, and pain catastrophizing scores were obtained at baseline and follow-up. Functional connectivity (FC) patterns of the salience network (SN), sensorimotor network (SMN), and the mesolimbic pathway (MLP), derived from resting-state fMRI examination were correlated with both baseline and delta (baseline-follow-up) pain-related psychological measures.

resultsIndividuals receiving ACT and BATD showed reduced depression, psychological inflexibility, and pain catastrophizing. Strong baseline connectivity of the SN and SMN corresponded with higher pain intensity, but strong connectivity of the MLP and precuneus corresponded with lower pain intensity. Pain intensity changes correlated with mesolimbic-salience connectivity following ACT, and with sensorimotor connectivity following BATD. Specifically, stronger baseline FC between the MLP and posterior insula predicted greater pain intensity reduction with ACT, while stronger FC between the SMN and secondary somatosensory cortex predicted greater pain intensity reduction with BATD. FC of the SN correlated with changes in psychological inflexibility across both therapies.

conclusionsWe illustrate the potential of FC as a biomarker of CLBP plus depression and the response to CBT. Our data suggest ACT and BATD have differing underlying brain mechanisms. These findings indicate that FC biomarkers could guide personalized treatment, improving individual outcomes.

Indexed as

Chronic PainCognitive Behavioral TherapyDepressionLow Back PainAcceptance and Commitment TherapyAdultBrainCatastrophizationFemaleHumansMagnetic Resonance ImagingMiddle AgedNerve NetNeural PathwaysSensorimotor CortexTreatment OutcomeACTBATDchronic paindepressionfMRI

Identifiers

PMID40022281
PMCPMC11870833

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LicenceCC BY
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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.