Neurobiology of osteoarthritis: a systematic review and activation likelihood estimation meta-analysis

M Hall; F Dobson; DM Klyne; CJ Zheng; YL Lima; N Egorova-Brumley

Journal article

Neurobiology of osteoarthritis: a systematic review and activation likelihood estimation meta-analysis

M Hall, F Dobson, DM Klyne, CJ Zheng, YL Lima, N Egorova-Brumley

Scientific Reports | NATURE PORTFOLIO | Published : 2023

DOI: 10.1038/s41598-023-39245-9

Abstract

Osteoarthritis (OA) affects 240 million people worldwide. Neuroimaging has been increasingly used to investigate brain changes in OA, however, there is considerable heterogeneity in reported results. The goal of this systematic review and meta-analysis was to synthesise existing literature and identify consistent brain alterations in OA. Six databases were searched from inception up to June, 2022. Full-texts of original human studies were included if they had: (i) neuroimaging data by site of OA (e.g. hand, knee, hip); (ii) data in healthy controls (HC); (iii) > 10 participants. Activation likelihood estimation (ALE) was conducted using GingerALE software on studies that reported peak activa..

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University of Melbourne Researchers

Michelle Hall Author

Fiona Dobson Author

Natalia Egorova-Brumley Author

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Grants

Awarded by U.S. Department of Defense

Funding Acknowledgements

We would like to acknowledge The University of Melbourne Faculty of Medicine, Dentistry and Health Sciences Mid-Career Seeding Ideas Grant 2020 to NEB, MH and FD. MH is supported by a National Health and Medical Research Council (NHMRC) Investigator Grant Emerging Leader 1 (#1172928). NEB is supported by the Australian Research Council (ARC) DE180100893. DMK is supported by Assistant Secretary of Defense for Health Affairs endorsed by the U.S. Department of Defense through the FY19 Chronic Pain Management Research Program (Award No. W81XWH2010909). Funding sources had no role in study design, data collection, data analysis, data interpretation, or writing the manuscript.