Evidence map›Paper›PMID 42396320›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Patterns of Muscle Health in Single- and Multi-Site Chronic Pain: A UK Biobank Normative Modeling Study.

Merve Kaptan, Yiyu Wang, Augustijn de Boer, Ananya Goyal, Skylar Holmes, Kerem Ozkan, Sandrine Bédard, Teresa Indriolo, Christine S W Law, Dario Pfyffer and 31 more

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Article in medRxiv : the preprint server for health sciences, 2026. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

41 authors.

Merve KaptanDivision of Pain Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA, USA.ORCID 0000-0001-8187-4911
Yiyu WangDivision of Pain Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA, USA.
Augustijn de BoerDonders Institute for Cognition, Brain and Behavior, Radboud University, Nijmegen, The Netherlands.
Ananya GoyalDepartment of Radiology, Stanford University School of Medicine, Palo Alto, CA, USA.ORCID 0000-0002-5023-998X
Skylar HolmesDepartment of Radiology, Stanford University School of Medicine, Palo Alto, CA, USA.ORCID 0000-0002-5423-385X
Kerem OzkanDivision of Pain Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA, USA.
Sandrine BédardNeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montréal, Montréal, Québec, Canada.ORCID 0000-0001-9859-1133
Teresa IndrioloDivision of Pain Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA, USA.
Christine S W LawDivision of Pain Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA, USA.
Dario PfyfferDivision of Pain Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA, USA.ORCID 0000-0002-2406-9251
Joel FundaunDivision of Pain Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA, USA.ORCID 0000-0001-6025-0077
Estifanos BerheDivision of Pain Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA, USA.
Garry E GoldDepartment of Radiology, Stanford University School of Medicine, Palo Alto, CA, USA.
Akshay ChaudhariDepartment of Radiology, Stanford University School of Medicine, Palo Alto, CA, USA.
Pai S AnooshaDepartment of Radiology, Stanford University School of Medicine, Palo Alto, CA, USA.ORCID 0000-0002-3186-9660
Anthony A GattiDepartment of Radiology, Stanford University School of Medicine, Palo Alto, CA, USA.ORCID 0000-0001-6717-8979
Feliks KoganDepartment of Radiology, Stanford University School of Medicine, Palo Alto, CA, USA.
Brian A HargreavesDepartment of Radiology, Stanford University School of Medicine, Palo Alto, CA, USA.
Scott L DelpDepartment of Bioengineering and Mechanical Engineering, Stanford University, Palo Alto, CA, USA.
John RatliffDepartment of Neurosurgery, Stanford University School of Medicine, Palo Alto, CA, USA.ORCID 0000-0003-3452-1907
Serena HuDepartment of Orthopedic Surgery, Stanford University School of Medicine, Palo Alto, CA, USA.
Anand VeeravaguDepartment of Neurosurgery, Stanford University School of Medicine, Palo Alto, CA, USA.
Atman DesaiDepartment of Neurosurgery, Stanford University School of Medicine, Palo Alto, CA, USA.
Suzanne TharinDepartment of Neurosurgery, Stanford University School of Medicine, Palo Alto, CA, USA.
Todd AlaminDepartment of Orthopedic Surgery, Stanford University School of Medicine, Palo Alto, CA, USA.
Andrew C SmithPhysical Therapy Program, Department of Physical Medicine and Rehabilitation, School of Medicine, University of Colorado, Aurora, CO, USA.ORCID 0000-0001-5020-8094
Marnee J McKayThe Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.ORCID 0000-0002-8126-3579
Brian KimNorthern Sydney Local Health District, The Kolling Institute, St. Leonards, NSW, Australia.ORCID 0000-0002-7015-0229
Robert WalshDepartment of Integrated Primary Care, VA Palo Alto, Palo Alto, CA, USA.
Alec SchielkeDepartment of Integrated Primary Care, VA Palo Alto, Palo Alto, CA, USA.
Dean DennisDepartment of Integrated Primary Care, VA Palo Alto, Palo Alto, CA, USA.
Johannes DeckerDivision of Neuroimaging and Neurointervention, Department of Radiology, Stanford University School of Medicine, Palo Alto, CA, USA.ORCID 0000-0002-4143-2673
Benjamin De LeenerNeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montréal, Montréal, Québec, Canada.ORCID 0000-0002-1378-2756
Julien Cohen-AdadNeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montréal, Montréal, Québec, Canada.ORCID 0000-0003-3662-9532
Zachary A SmithDepartment of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.ORCID 0000-0003-2130-8592
Fauziyya MuhammadDepartment of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
James M ElliottNorthern Sydney Local Health District, The Kolling Institute, St. Leonards, NSW, Australia.ORCID 0000-0002-8890-6012
Andre F MarquandDonders Institute for Cognition, Brain and Behavior, Radboud University, Nijmegen, The Netherlands.
Sean MackeyDivision of Pain Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA, USA.ORCID 0000-0001-7744-5348
Evert Onno WesselinkDivision of Pain Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA, USA.ORCID 0000-0002-2024-6986
Kenneth A WeberDivision of Pain Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA, USA.ORCID 0000-0002-0916-9174

Funding

Interdisciplinary Research Training in Pain and Substance Use DisordersT32DA035165 · NIDA · STANFORD UNIVERSITY · PI SEAN C MACKEY · 2013 to 2026
$7.2M
Dermatomal Mapping with Spinal Cord Functional Magnetic Resonance ImagingR01NS133305 · NINDS · STANFORD UNIVERSITY · PI Kenneth Arnold Weber · 2023 to 2026
$2.3M
MRI-Derived Neuromuscular Signatures to Predict Surgical Response in Degenerative Cervical MyelopathyR01NS128478 · NINDS · STANFORD UNIVERSITY · PI Kenneth Arnold Weber · 2023 to 2026
$2.2M
Improving mechanistic understanding of responsiveness to spinal cord stimulation after spinal cord injuryK01HD106928 · NICHD · UNIVERSITY OF COLORADO DENVER · PI SMITH, ANDREW CRAIG · 2022 to 2025
$508k
NICHD NIH HHS K01 HD106928NIDA NIH HHS T32 DA035165NINDS NIH HHS R01 NS128478NINDS NIH HHS R01 NS133305
6 · The paper itself

Abstract

Background: Chronic pain is associated with impaired muscle health, but whether these changes reflect site-specific factors, broader systemic factors, or both remains unclear. The purpose of this study is to determine whether normative markers of muscle health derived from MRI show site-specific patterns in chronic pain. Methods: UK Biobank participants who underwent whole-body MRI from 2006 to 2010 were included in this retrospective cross-sectional study. The MuscleMap Toolbox quantified volume and intramuscular fat (IMF) in 42 muscles of the abdomen, pelvis, and thigh. Normative models trained on a no pain group generated muscle-specific deviations from normal (i.e., Z-scores) for single- and multi-site chronic and acute pain. Results: Of 17,843 participants, the primary site-specific analysis included 9,704 no pain, 885 single-site chronic back pain (CBP), 438 single-site chronic hip pain (CHP), and 1,315 single-site chronic knee pain (CKP) participants (n=12,342; mean age 63.7±7.5 years; 52.7% female). Additional analyses included single-site chronic neck/shoulder pain, acute pain, and multi-site chronic pain groups. In CBP, deviations were localized to abdominal muscles, with decreased volume in 6/8 and increased IMF in 6/8. In CHP, deviations were broad, with decreased volume in 3/8 of the abdominal and 14/26 of the thigh muscles, and increased IMF in 6/8 of the abdominal, 5/8 of the pelvic, and 4/26 of the thigh muscles. In CKP, deviations were localized to thigh muscles, with decreased volume in 8/26 and increased IMF in 6/26. Acute pain groups showed no significant differences except for decreased volume in one thigh muscle in acute knee pain. With each additional chronic pain site, volume decreased (β=-.078;IQR:-0.100-0.051), and IMF increased (β=.085;IQR:0.066-0.101). Combined Z-scores classified chronic pain groups better than chance (accuracy: 48.6%;p<.001), but not acute pain groups (accuracy: 39.0%;p=.20). Conclusions: Whole-body MRI combined with AI-driven muscle segmentation and normative modeling revealed site-specific patterns of muscle health in single-site chronic pain.

Indexed as

Chronic painintramuscular fatmagnetic resonance imagingmuscle volumenormative modelingUK Biobank

Identifiers

PMID42396320
PMCPMC13321162

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