| Resum: |
Chronic pain has a profound societal burden, affecting 20% to 30% of the world population, and is associated with high rates of comorbid mental health conditions, especially depression and anxiety. Women and people of increasing age are disproportionately affected by chronic pain, and while there are pharmacological and nonpharmacological treatments available, many individuals still do not benefit from these treatments. One significant challenge in providing effective pain-relieving treatments arises from our incomplete understanding of the mechanisms underlying the development and maintenance of chronic pain. Some of these mechanisms include changes in brain morphology and function. One approach to better understand these mechanisms is to combine neuroimaging studies of diverse populations with the purpose of identifying common phenotypes and neuroimaging correlates. Phenotyping to explore both similarities and heterogeneity across pain conditions is necessary to inform disease prognosis and elucidate common treatment targets. To this endeavor, the Enhancing Neuroimaging and Genetics through Meta-Analysis (ENIGMA)-Chronic Pain working group was formed in November 2022. ENIGMA-Chronic Pain has since welcomed over 70 pain investigators from all over the world, to pool and integrate existing neuroimaging and clinical data from approximately 2000 chronic pain and 4000 pain-free healthy individuals, from over 30 international and independently collected datasets. |
| Nota: |
Altres ajuts: The ENIGMA-Chronic Pain working group gratefully acknowledges support from the United States National Institutes of Health (NIH) Big Data to Knowledge (BD2K) award (U54EB020403 to P.M.T.). This work was supported by a Rebecca Cooper Fellowship from the Rebecca L. Cooper Medical Research Foundation, grants from the Deutsche Forschungsgemeinschaft (SFB1158/B03, SFB1158/B06, SFB1158/B07, SFB1158/S03N, FOR2107 DA1151/5-1, DA1151/5-2, DA1151/9-1, DA1151/101, DA1151/11-1, SFB-TRR58, Projects C09 and Z02, KI588/141, KI588/14-2, KI588/20-1, KI588/22-1, NE2254/1-2, NE2254/ 2-1, NE2254/3-1, NE2254/4-1), the Interdisciplinary Center for Clinical Research (IZKF) of the medical faculty of M¨unster (Dan3/ 022/22), a joint grant from the UK Biological and Biotechnology Research Council and the Economic and Social Research Council (BB/W008793/1), the UK Medical Research Council (MR/R024065/1, MR/W002566/1-Consortium Against Pain Inequality), Age UK ("The Disconnected Mind"), the Milton Damerel Trust and the University of Edinburgh, the National Science Foundation NSF GRFP (2020290241), Fonds Wetenschappelijk Onderzoek-FWO (G001419N), the Australian National Health And Medical Research Council (NHMRC Project Grant 1122816), and the US NIH (R01AG050595, R01AG076838, K01AG081559, NIDA R01DA055850, NINDS RM1NS128787). This work is partially funded by a Veterans Affairs Rehabilitation Research and Development award (RX00327) and Center Grant (RX002358). Research at GOSH NHSFoundation Trust and UCL Great OrmondStreet Institute of Child Health is supported by the NIHR GOSH Biomedical Research Centre.The Center for Neuroplasticity and Pain (CNAP) is supported by the Danish National Research Foundation (DNRF121). |